Text-overlap comparison
EARLIER / SOURCE
LATER / FLAGGED
EARLIER¶0-3
* berihunassefa21@gmail.com Abstract Background Mental health problems affect society as a whole and no group is immune to mental disorders; however, students have significantly high level of mental distress than their community peers. Objectives The purpose of this study was to assess the prevalence and associated factors of mental distress among undergraduate students of University of Gondar, Northwest Ethiopia. Methods Institution based cross sectional study was conducted among 836 students from April 9–11/ 2014. Stratified multistage sampling technique was used to select the study participants. Data were collected using pretested and structured self-administered questionnaire. Bivariate and multivariate logistic regression model was fitted to identify factors associated with mental distress among students. An adjusted odds ratio with 95% confidence interval was computed to determine the level of significance. Results Prevalence of mental distress among students was found to be 40.9%. Female sex (AOR = 1.65; 95% CI 1.17–2.30), lack of interest towards their field of study (AOR = 2.28; 95% CI 1.49–3.50), not having close friends (AOR = 1.48; 95% CI 1.03–2.14), never attend religious programs (AOR = 1.58; 95% CI 1.02–2.46), conflict with friends (AOR = 1.93; 95% CI 1.41–2.65), having financial distress (AOR1.49 = 95% CI 1.05, 2.10), family history of mental illness (AOR = 2.12; 95% CI 1.31–3.45), Ever use of Khat (AOR = 1.71; 95% CI 1.12–
LATER¶0-3
Bedaso et al. Ann Gen Psychiatry (2020) 19:6 https://doi.org/10.1186/s12991-020-0258-y PRIMARY RESEARCH Predictors of mental distress among undergraduate health science students of Hawassa University, College of Medicine and Health Sciences, Hawassa, SNNPR, Ethiopia: a cross-sectional study Asres Bedaso1* , Bereket Duko1 and Tebikew Yeneabat2 Abstract Introduction: Mental distress is a mental health problem which includes anxiety, depression and somatic symptoms. Mental health problems affect society as a whole and no group is immune to mental disorders; however, students have significantly high level of mental distress than their community peers. Objective: The aim of the study is to assess magnitude of mental distress and its predictors among undergraduate health science students of Hawassa University, College of Medicine and Health Sciences, SNNPR, Ethiopia. Methods: Institution-based cross-sectional study was conducted among 311 students. Simple random sampling technique was used to select the study participants. Data were collected using pre-tested and structured self-administered questionnaire. Mental distress among students was assessed using SRQ-20, which is validated in Ethiopia. Bivariate and multivariate logistic regression model was fitted to identify predictors of mental distress among students. An adjusted odds ratio with 95% confidence interval was computed to determine the level of significance with P-value less than 0.05. Result: A total of 309 study participants were interviewed with a response rate of 99.34%. Among the total respondents 105 (34%) of them were found to have mental distress. In multiple logistic regression analysis, poor social support (AOR = 5.28; 95% CI (2.176–12.84) and current substances use (AOR = 12.83, 95% CI (7.13–23.13), were significant predictors of mental distress among respondents. Conclusion and recommendations: The overall magnitude of mental distress among students was found to be high. Therefore, it is recommended that mental distress needs due attention and remedial action from policy-makers, college officials, non-governmental organizations, parents, students and other concerned bodies. Keywords: Mental distress, Predictors, Health science students © The Author(s) 2020. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativeco mmons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/ zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. Introduction Mental distress is a mental health problem which includes anxiety, depression and somatic symptoms [1]. Currently mental distress is a major public mental health problem and a leading cause of disability worldwide, accounting for one-third of disability adjusted life years
EARLIER¶8-12
Conclusion The overall prevalence of mental distress among students was found to be high. Therefore, it is recommended that mental distress needs due attention and remedial action from policy makers, college officials, non-governmental organizations, parents, students and other concerned bodies. Currently mental distress is an important public health problem and it is a leading cause of disability worldwide, accounting for one third of disability adjusted life years (DALYs) [4, 5]. In Africa mental illness is an important public health challenge that is under recognized as a public burden. Studies conducted in South Africa revealed that the prevalence of common mental disorders is 27% [6] In Ethiopia mental disorders account for 11% of total burden of diseases [7]. Although mental health problems affect society as a whole and no group is immune to mental disorders; students have significantly high level of psychological distress than their community peers [8–10]. This is due to the fact that university students face multiple stressors such as academic load, constant pressure to succeed, competition with peers, financial burden, peer, teacher or parental pressure as well as concerns about the future [11, 12]. This can have negative effects on student’s ability to study and academic outcomes [10, 13, 14]. Such situation of stress may later lead to mental health problems but students seldom seek help for their problems [15–17]. A study among undergraduate students in Canada showed that 30% of students had psychological distresses which was significantly higher than that of adults in the general population of Canada [18]. Furthermore, more than half of students in USA [19] 53% of students in Australia [20] 41.9% of students in Malaysia [21] 10.8% of students in Kenya [22] and 21.6% of students in Ethiopia [23] experienced mental distress. Another study in Ethiopia revealed that 32.6% of medical students experienced mental distress[24]. However, since this study was done only on medical students and with small sample size (273), it may not represent all University students in Ethiopia. Furthermore, this study was done in 2001 which may not reflect the current status of mental distress among University students in Ethiopia. Even if mental problem was included in the national health policy of Ethiopia, interventions against the problem are very limited and lack of information about the problem is a contributory factor for poor mental health services. Hence, Epidemiological data which shows the burden of mental health problems in students over time is mandatory. Therefore, this study was aimed to determine the prevalence of mental distress and identify the associated factors for mental distress among university students. Results from this study will help in developing evidence based mental health promotion and disease prevention programs. Mental Distress among University Students in Ethiopia PLOS ONE | DOI:10.1371/journal.pone.0119464 March 20, 2015 2 / 10 Methods Study design and period
LATER¶0-3
Bedaso et al. Ann Gen Psychiatry (2020) 19:6 https://doi.org/10.1186/s12991-020-0258-y PRIMARY RESEARCH Predictors of mental distress among undergraduate health science students of Hawassa University, College of Medicine and Health Sciences, Hawassa, SNNPR, Ethiopia: a cross-sectional study Asres Bedaso1* , Bereket Duko1 and Tebikew Yeneabat2 Abstract Introduction: Mental distress is a mental health problem which includes anxiety, depression and somatic symptoms. Mental health problems affect society as a whole and no group is immune to mental disorders; however, students have significantly high level of mental distress than their community peers. Objective: The aim of the study is to assess magnitude of mental distress and its predictors among undergraduate health science students of Hawassa University, College of Medicine and Health Sciences, SNNPR, Ethiopia. Methods: Institution-based cross-sectional study was conducted among 311 students. Simple random sampling technique was used to select the study participants. Data were collected using pre-tested and structured self-administered questionnaire. Mental distress among students was assessed using SRQ-20, which is validated in Ethiopia. Bivariate and multivariate logistic regression model was fitted to identify predictors of mental distress among students. An adjusted odds ratio with 95% confidence interval was computed to determine the level of significance with P-value less than 0.05. Result: A total of 309 study participants were interviewed with a response rate of 99.34%. Among the total respondents 105 (34%) of them were found to have mental distress. In multiple logistic regression analysis, poor social support (AOR = 5.28; 95% CI (2.176–12.84) and current substances use (AOR = 12.83, 95% CI (7.13–23.13), were significant predictors of mental distress among respondents. Conclusion and recommendations: The overall magnitude of mental distress among students was found to be high. Therefore, it is recommended that mental distress needs due attention and remedial action from policy-makers, college officials, non-governmental organizations, parents, students and other concerned bodies. Keywords: Mental distress, Predictors, Health science students © The Author(s) 2020. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativeco mmons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/ zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. Introduction Mental distress is a mental health problem which includes anxiety, depression and somatic symptoms [1]. Currently mental distress is a major public mental health problem and a leading cause of disability worldwide, accounting for one-third of disability adjusted life years
EARLIER¶0-4
* berihunassefa21@gmail.com Abstract Background Mental health problems affect society as a whole and no group is immune to mental disorders; however, students have significantly high level of mental distress than their community peers. Objectives The purpose of this study was to assess the prevalence and associated factors of mental distress among undergraduate students of University of Gondar, Northwest Ethiopia. Methods Institution based cross sectional study was conducted among 836 students from April 9–11/ 2014. Stratified multistage sampling technique was used to select the study participants. Data were collected using pretested and structured self-administered questionnaire. Bivariate and multivariate logistic regression model was fitted to identify factors associated with mental distress among students. An adjusted odds ratio with 95% confidence interval was computed to determine the level of significance. Results Prevalence of mental distress among students was found to be 40.9%. Female sex (AOR = 1.65; 95% CI 1.17–2.30), lack of interest towards their field of study (AOR = 2.28; 95% CI 1.49–3.50), not having close friends (AOR = 1.48; 95% CI 1.03–2.14), never attend religious programs (AOR = 1.58; 95% CI 1.02–2.46), conflict with friends (AOR = 1.93; 95% CI 1.41–2.65), having financial distress (AOR1.49 = 95% CI 1.05, 2.10), family history of mental illness (AOR = 2.12; 95% CI 1.31–3.45), Ever use of Khat (AOR = 1.71; 95% CI 1.12– PLOS ONE | DOI:10.1371/journal.pone.0119464 March 20, 2015 1 / 10 a11111 OPEN ACCESS Citation: Dachew BA, Azale Bisetegn T, Berhe Gebremariam R (2015) Prevalence of Mental Distress and Associated Factors among Undergraduate Students of University of Gondar, Northwest Ethiopia: A Cross-Sectional Institutional Based Study. PLoS ONE 10(3): e0119464. doi:10.1371/journal.pone.0119464
LATER¶0-3
Bedaso et al. Ann Gen Psychiatry (2020) 19:6 https://doi.org/10.1186/s12991-020-0258-y PRIMARY RESEARCH Predictors of mental distress among undergraduate health science students of Hawassa University, College of Medicine and Health Sciences, Hawassa, SNNPR, Ethiopia: a cross-sectional study Asres Bedaso1* , Bereket Duko1 and Tebikew Yeneabat2 Abstract Introduction: Mental distress is a mental health problem which includes anxiety, depression and somatic symptoms. Mental health problems affect society as a whole and no group is immune to mental disorders; however, students have significantly high level of mental distress than their community peers. Objective: The aim of the study is to assess magnitude of mental distress and its predictors among undergraduate health science students of Hawassa University, College of Medicine and Health Sciences, SNNPR, Ethiopia. Methods: Institution-based cross-sectional study was conducted among 311 students. Simple random sampling technique was used to select the study participants. Data were collected using pre-tested and structured self-administered questionnaire. Mental distress among students was assessed using SRQ-20, which is validated in Ethiopia. Bivariate and multivariate logistic regression model was fitted to identify predictors of mental distress among students. An adjusted odds ratio with 95% confidence interval was computed to determine the level of significance with P-value less than 0.05. Result: A total of 309 study participants were interviewed with a response rate of 99.34%. Among the total respondents 105 (34%) of them were found to have mental distress. In multiple logistic regression analysis, poor social support (AOR = 5.28; 95% CI (2.176–12.84) and current substances use (AOR = 12.83, 95% CI (7.13–23.13), were significant predictors of mental distress among respondents. Conclusion and recommendations: The overall magnitude of mental distress among students was found to be high. Therefore, it is recommended that mental distress needs due attention and remedial action from policy-makers, college officials, non-governmental organizations, parents, students and other concerned bodies. Keywords: Mental distress, Predictors, Health science students © The Author(s) 2020. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativeco mmons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/ zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. Introduction Mental distress is a mental health problem which includes anxiety, depression and somatic symptoms [1]. Currently mental distress is a major public mental health problem and a leading cause of disability worldwide, accounting for one-third of disability adjusted life years
EARLIER¶0-4
* berihunassefa21@gmail.com Abstract Background Mental health problems affect society as a whole and no group is immune to mental disorders; however, students have significantly high level of mental distress than their community peers. Objectives The purpose of this study was to assess the prevalence and associated factors of mental distress among undergraduate students of University of Gondar, Northwest Ethiopia. Methods Institution based cross sectional study was conducted among 836 students from April 9–11/ 2014. Stratified multistage sampling technique was used to select the study participants. Data were collected using pretested and structured self-administered questionnaire. Bivariate and multivariate logistic regression model was fitted to identify factors associated with mental distress among students. An adjusted odds ratio with 95% confidence interval was computed to determine the level of significance. Results Prevalence of mental distress among students was found to be 40.9%. Female sex (AOR = 1.65; 95% CI 1.17–2.30), lack of interest towards their field of study (AOR = 2.28; 95% CI 1.49–3.50), not having close friends (AOR = 1.48; 95% CI 1.03–2.14), never attend religious programs (AOR = 1.58; 95% CI 1.02–2.46), conflict with friends (AOR = 1.93; 95% CI 1.41–2.65), having financial distress (AOR1.49 = 95% CI 1.05, 2.10), family history of mental illness (AOR = 2.12; 95% CI 1.31–3.45), Ever use of Khat (AOR = 1.71; 95% CI 1.12– PLOS ONE | DOI:10.1371/journal.pone.0119464 March 20, 2015 1 / 10 a11111 OPEN ACCESS Citation: Dachew BA, Azale Bisetegn T, Berhe Gebremariam R (2015) Prevalence of Mental Distress and Associated Factors among Undergraduate Students of University of Gondar, Northwest Ethiopia: A Cross-Sectional Institutional Based Study. PLoS ONE 10(3): e0119464. doi:10.1371/journal.pone.0119464
LATER¶0-3
Bedaso et al. Ann Gen Psychiatry (2020) 19:6 https://doi.org/10.1186/s12991-020-0258-y PRIMARY RESEARCH Predictors of mental distress among undergraduate health science students of Hawassa University, College of Medicine and Health Sciences, Hawassa, SNNPR, Ethiopia: a cross-sectional study Asres Bedaso1* , Bereket Duko1 and Tebikew Yeneabat2 Abstract Introduction: Mental distress is a mental health problem which includes anxiety, depression and somatic symptoms. Mental health problems affect society as a whole and no group is immune to mental disorders; however, students have significantly high level of mental distress than their community peers. Objective: The aim of the study is to assess magnitude of mental distress and its predictors among undergraduate health science students of Hawassa University, College of Medicine and Health Sciences, SNNPR, Ethiopia. Methods: Institution-based cross-sectional study was conducted among 311 students. Simple random sampling technique was used to select the study participants. Data were collected using pre-tested and structured self-administered questionnaire. Mental distress among students was assessed using SRQ-20, which is validated in Ethiopia. Bivariate and multivariate logistic regression model was fitted to identify predictors of mental distress among students. An adjusted odds ratio with 95% confidence interval was computed to determine the level of significance with P-value less than 0.05. Result: A total of 309 study participants were interviewed with a response rate of 99.34%. Among the total respondents 105 (34%) of them were found to have mental distress. In multiple logistic regression analysis, poor social support (AOR = 5.28; 95% CI (2.176–12.84) and current substances use (AOR = 12.83, 95% CI (7.13–23.13), were significant predictors of mental distress among respondents. Conclusion and recommendations: The overall magnitude of mental distress among students was found to be high. Therefore, it is recommended that mental distress needs due attention and remedial action from policy-makers, college officials, non-governmental organizations, parents, students and other concerned bodies. Keywords: Mental distress, Predictors, Health science students © The Author(s) 2020. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativeco mmons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/ zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. Introduction Mental distress is a mental health problem which includes anxiety, depression and somatic symptoms [1]. Currently mental distress is a major public mental health problem and a leading cause of disability worldwide, accounting for one-third of disability adjusted life years
EARLIER¶0-4
* berihunassefa21@gmail.com Abstract Background Mental health problems affect society as a whole and no group is immune to mental disorders; however, students have significantly high level of mental distress than their community peers. Objectives The purpose of this study was to assess the prevalence and associated factors of mental distress among undergraduate students of University of Gondar, Northwest Ethiopia. Methods Institution based cross sectional study was conducted among 836 students from April 9–11/ 2014. Stratified multistage sampling technique was used to select the study participants. Data were collected using pretested and structured self-administered questionnaire. Bivariate and multivariate logistic regression model was fitted to identify factors associated with mental distress among students. An adjusted odds ratio with 95% confidence interval was computed to determine the level of significance. Results Prevalence of mental distress among students was found to be 40.9%. Female sex (AOR = 1.65; 95% CI 1.17–2.30), lack of interest towards their field of study (AOR = 2.28; 95% CI 1.49–3.50), not having close friends (AOR = 1.48; 95% CI 1.03–2.14), never attend religious programs (AOR = 1.58; 95% CI 1.02–2.46), conflict with friends (AOR = 1.93; 95% CI 1.41–2.65), having financial distress (AOR1.49 = 95% CI 1.05, 2.10), family history of mental illness (AOR = 2.12; 95% CI 1.31–3.45), Ever use of Khat (AOR = 1.71; 95% CI 1.12– PLOS ONE | DOI:10.1371/journal.pone.0119464 March 20, 2015 1 / 10 a11111 OPEN ACCESS Citation: Dachew BA, Azale Bisetegn T, Berhe Gebremariam R (2015) Prevalence of Mental Distress and Associated Factors among Undergraduate Students of University of Gondar, Northwest Ethiopia: A Cross-Sectional Institutional Based Study. PLoS ONE 10(3): e0119464. doi:10.1371/journal.pone.0119464
LATER¶0-3
Bedaso et al. Ann Gen Psychiatry (2020) 19:6 https://doi.org/10.1186/s12991-020-0258-y PRIMARY RESEARCH Predictors of mental distress among undergraduate health science students of Hawassa University, College of Medicine and Health Sciences, Hawassa, SNNPR, Ethiopia: a cross-sectional study Asres Bedaso1* , Bereket Duko1 and Tebikew Yeneabat2 Abstract Introduction: Mental distress is a mental health problem which includes anxiety, depression and somatic symptoms. Mental health problems affect society as a whole and no group is immune to mental disorders; however, students have significantly high level of mental distress than their community peers. Objective: The aim of the study is to assess magnitude of mental distress and its predictors among undergraduate health science students of Hawassa University, College of Medicine and Health Sciences, SNNPR, Ethiopia. Methods: Institution-based cross-sectional study was conducted among 311 students. Simple random sampling technique was used to select the study participants. Data were collected using pre-tested and structured self-administered questionnaire. Mental distress among students was assessed using SRQ-20, which is validated in Ethiopia. Bivariate and multivariate logistic regression model was fitted to identify predictors of mental distress among students. An adjusted odds ratio with 95% confidence interval was computed to determine the level of significance with P-value less than 0.05. Result: A total of 309 study participants were interviewed with a response rate of 99.34%. Among the total respondents 105 (34%) of them were found to have mental distress. In multiple logistic regression analysis, poor social support (AOR = 5.28; 95% CI (2.176–12.84) and current substances use (AOR = 12.83, 95% CI (7.13–23.13), were significant predictors of mental distress among respondents. Conclusion and recommendations: The overall magnitude of mental distress among students was found to be high. Therefore, it is recommended that mental distress needs due attention and remedial action from policy-makers, college officials, non-governmental organizations, parents, students and other concerned bodies. Keywords: Mental distress, Predictors, Health science students © The Author(s) 2020. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativeco mmons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/ zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. Introduction Mental distress is a mental health problem which includes anxiety, depression and somatic symptoms [1]. Currently mental distress is a major public mental health problem and a leading cause of disability worldwide, accounting for one-third of disability adjusted life years
EARLIER¶6-10
Data Availability Statement: All relevant data are within the manuscript and on Figshare via http://dx. doi.org/10.6084/m9.figshare.1295936. Funding: The authors have no support or funding to report. Competing Interests: The authors have declared that no competing interests exist. 2.59), lower grade than anticipated(AOR = 2.07; 95% CI 1.51–2.83), lack of vacation or break (AOR = 1.46; 95% CI 1.06–2.02), and low social support(AOR = 2.58; 95% CI 1.58– 4.22) were significantly associated with mental distress. Conclusion The overall prevalence of mental distress among students was found to be high. Therefore, it is recommended that mental distress needs due attention and remedial action from policy makers, college officials, non-governmental organizations, parents, students and other concerned bodies. Currently mental distress is an important public health problem and it is a leading cause of disability worldwide, accounting for one third of disability adjusted life years (DALYs) [4, 5]. In Africa mental illness is an important public health challenge that is under recognized as a public burden. Studies conducted in South Africa revealed that the prevalence of common mental disorders is 27% [6] In Ethiopia mental disorders account for 11% of total burden of diseases [7]. Although mental health problems affect society as a whole and no group is immune to mental disorders; students have significantly high level of psychological distress than their community peers [8–10]. This is due to the fact that university students face multiple stressors such as academic load, constant pressure to succeed, competition with peers, financial burden, peer, teacher or parental pressure as well as concerns about the future [11, 12]. This can have negative effects on student’s ability to study and academic outcomes [10, 13, 14]. Such situation of stress may later lead to mental health problems but students seldom seek help for their problems [15–17]. A study among undergraduate students in Canada showed that 30% of students had psychological distresses which was significantly higher than that of adults in the general population of Canada [18]. Furthermore, more than half of students in USA [19] 53% of students in Australia [20] 41.9% of students in Malaysia [21] 10.8% of students in Kenya [22] and 21.6% of students in Ethiopia [23] experienced mental distress. Another study in Ethiopia revealed that 32.6% of medical students experienced mental distress[24]. However, since this study was done only on medical students and with small sample size (273), it may not represent all University students in Ethiopia. Furthermore, this study was done in 2001 which may not reflect the current status of mental distress among University students in Ethiopia.
LATER¶0-3
Bedaso et al. Ann Gen Psychiatry (2020) 19:6 https://doi.org/10.1186/s12991-020-0258-y PRIMARY RESEARCH Predictors of mental distress among undergraduate health science students of Hawassa University, College of Medicine and Health Sciences, Hawassa, SNNPR, Ethiopia: a cross-sectional study Asres Bedaso1* , Bereket Duko1 and Tebikew Yeneabat2 Abstract Introduction: Mental distress is a mental health problem which includes anxiety, depression and somatic symptoms. Mental health problems affect society as a whole and no group is immune to mental disorders; however, students have significantly high level of mental distress than their community peers. Objective: The aim of the study is to assess magnitude of mental distress and its predictors among undergraduate health science students of Hawassa University, College of Medicine and Health Sciences, SNNPR, Ethiopia. Methods: Institution-based cross-sectional study was conducted among 311 students. Simple random sampling technique was used to select the study participants. Data were collected using pre-tested and structured self-administered questionnaire. Mental distress among students was assessed using SRQ-20, which is validated in Ethiopia. Bivariate and multivariate logistic regression model was fitted to identify predictors of mental distress among students. An adjusted odds ratio with 95% confidence interval was computed to determine the level of significance with P-value less than 0.05. Result: A total of 309 study participants were interviewed with a response rate of 99.34%. Among the total respondents 105 (34%) of them were found to have mental distress. In multiple logistic regression analysis, poor social support (AOR = 5.28; 95% CI (2.176–12.84) and current substances use (AOR = 12.83, 95% CI (7.13–23.13), were significant predictors of mental distress among respondents. Conclusion and recommendations: The overall magnitude of mental distress among students was found to be high. Therefore, it is recommended that mental distress needs due attention and remedial action from policy-makers, college officials, non-governmental organizations, parents, students and other concerned bodies. Keywords: Mental distress, Predictors, Health science students © The Author(s) 2020. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativeco mmons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/ zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. Introduction Mental distress is a mental health problem which includes anxiety, depression and somatic symptoms [1]. Currently mental distress is a major public mental health problem and a leading cause of disability worldwide, accounting for one-third of disability adjusted life years
EARLIER¶53-57
In this study, social support was also found to be another determinant factor for mental distress in students. Having high level of social support from significant others were negatively associated with mental distress. In this study, students with low social support were more than two times more likely to have mental distress as compared to those students with high social support AOR = 2.58; 95% CI 1.58–4.22). This finding is also supported by other studies [32, 44, 46]. This could be due to its effect on hypothalamic pitutary adrenocortical (HPA) system in reducing genetic and environmental vulnerabilities. Furthermore, It is also important for maintaining good physical and mental health [47]. Limitation of the study This study has some important limitations that should be kept in mind when interpreting the results. First, the cross-sectional nature of the study design does not confirm definitive cause and effect relationship. Furthermore, the study may prone to reporting bias since the data was collected based on self-reported information. Finally; reports for some of the questions were past history or encounters which are prone to recall bias. Conclusion and Recommendation The prevalence of mental distress among students was found to be high. The prevalence of mental distress was relatively high among female students. Being female sex, lack of interest towards the field of study, not having close friends, never attend religious programs, conflict with friends, absence of pocket money, having financial distress, family history of mental illness, ever use of Khat, lower grade than anticipated, lack of vacation or break, and low to moderate social support were factors associated with mental distress. Therefore, it is recommended that mental distress needs due attention and remedial action from policy makers, college officials, non-governmental organizations, parents, students and other concerned bodies. Programs aimed at preventing mental distress need to address these identified factors of mental distress against students. Acknowledgments The authors would like to thank facilitators and the study participants for their dedicated cooperation and made the study possible. Author Contributions Conceived and designed the experiments: BAD. Performed the experiments: BAD TAB RBG. Analyzed the data: BAD. Contributed reagents/materials/analysis tools: BAD TAB RBG. Wrote the paper: BAD TAB RBG.
LATER¶0-3
Bedaso et al. Ann Gen Psychiatry (2020) 19:6 https://doi.org/10.1186/s12991-020-0258-y PRIMARY RESEARCH Predictors of mental distress among undergraduate health science students of Hawassa University, College of Medicine and Health Sciences, Hawassa, SNNPR, Ethiopia: a cross-sectional study Asres Bedaso1* , Bereket Duko1 and Tebikew Yeneabat2 Abstract Introduction: Mental distress is a mental health problem which includes anxiety, depression and somatic symptoms. Mental health problems affect society as a whole and no group is immune to mental disorders; however, students have significantly high level of mental distress than their community peers. Objective: The aim of the study is to assess magnitude of mental distress and its predictors among undergraduate health science students of Hawassa University, College of Medicine and Health Sciences, SNNPR, Ethiopia. Methods: Institution-based cross-sectional study was conducted among 311 students. Simple random sampling technique was used to select the study participants. Data were collected using pre-tested and structured self-administered questionnaire. Mental distress among students was assessed using SRQ-20, which is validated in Ethiopia. Bivariate and multivariate logistic regression model was fitted to identify predictors of mental distress among students. An adjusted odds ratio with 95% confidence interval was computed to determine the level of significance with P-value less than 0.05. Result: A total of 309 study participants were interviewed with a response rate of 99.34%. Among the total respondents 105 (34%) of them were found to have mental distress. In multiple logistic regression analysis, poor social support (AOR = 5.28; 95% CI (2.176–12.84) and current substances use (AOR = 12.83, 95% CI (7.13–23.13), were significant predictors of mental distress among respondents. Conclusion and recommendations: The overall magnitude of mental distress among students was found to be high. Therefore, it is recommended that mental distress needs due attention and remedial action from policy-makers, college officials, non-governmental organizations, parents, students and other concerned bodies. Keywords: Mental distress, Predictors, Health science students © The Author(s) 2020. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativeco mmons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/ zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. Introduction Mental distress is a mental health problem which includes anxiety, depression and somatic symptoms [1]. Currently mental distress is a major public mental health problem and a leading cause of disability worldwide, accounting for one-third of disability adjusted life years
EARLIER¶53-57
In this study, social support was also found to be another determinant factor for mental distress in students. Having high level of social support from significant others were negatively associated with mental distress. In this study, students with low social support were more than two times more likely to have mental distress as compared to those students with high social support AOR = 2.58; 95% CI 1.58–4.22). This finding is also supported by other studies [32, 44, 46]. This could be due to its effect on hypothalamic pitutary adrenocortical (HPA) system in reducing genetic and environmental vulnerabilities. Furthermore, It is also important for maintaining good physical and mental health [47]. Limitation of the study This study has some important limitations that should be kept in mind when interpreting the results. First, the cross-sectional nature of the study design does not confirm definitive cause and effect relationship. Furthermore, the study may prone to reporting bias since the data was collected based on self-reported information. Finally; reports for some of the questions were past history or encounters which are prone to recall bias. Conclusion and Recommendation The prevalence of mental distress among students was found to be high. The prevalence of mental distress was relatively high among female students. Being female sex, lack of interest towards the field of study, not having close friends, never attend religious programs, conflict with friends, absence of pocket money, having financial distress, family history of mental illness, ever use of Khat, lower grade than anticipated, lack of vacation or break, and low to moderate social support were factors associated with mental distress. Therefore, it is recommended that mental distress needs due attention and remedial action from policy makers, college officials, non-governmental organizations, parents, students and other concerned bodies. Programs aimed at preventing mental distress need to address these identified factors of mental distress against students. Acknowledgments The authors would like to thank facilitators and the study participants for their dedicated cooperation and made the study possible. Author Contributions Conceived and designed the experiments: BAD. Performed the experiments: BAD TAB RBG. Analyzed the data: BAD. Contributed reagents/materials/analysis tools: BAD TAB RBG. Wrote the paper: BAD TAB RBG.
LATER¶0-3
Bedaso et al. Ann Gen Psychiatry (2020) 19:6 https://doi.org/10.1186/s12991-020-0258-y PRIMARY RESEARCH Predictors of mental distress among undergraduate health science students of Hawassa University, College of Medicine and Health Sciences, Hawassa, SNNPR, Ethiopia: a cross-sectional study Asres Bedaso1* , Bereket Duko1 and Tebikew Yeneabat2 Abstract Introduction: Mental distress is a mental health problem which includes anxiety, depression and somatic symptoms. Mental health problems affect society as a whole and no group is immune to mental disorders; however, students have significantly high level of mental distress than their community peers. Objective: The aim of the study is to assess magnitude of mental distress and its predictors among undergraduate health science students of Hawassa University, College of Medicine and Health Sciences, SNNPR, Ethiopia. Methods: Institution-based cross-sectional study was conducted among 311 students. Simple random sampling technique was used to select the study participants. Data were collected using pre-tested and structured self-administered questionnaire. Mental distress among students was assessed using SRQ-20, which is validated in Ethiopia. Bivariate and multivariate logistic regression model was fitted to identify predictors of mental distress among students. An adjusted odds ratio with 95% confidence interval was computed to determine the level of significance with P-value less than 0.05. Result: A total of 309 study participants were interviewed with a response rate of 99.34%. Among the total respondents 105 (34%) of them were found to have mental distress. In multiple logistic regression analysis, poor social support (AOR = 5.28; 95% CI (2.176–12.84) and current substances use (AOR = 12.83, 95% CI (7.13–23.13), were significant predictors of mental distress among respondents. Conclusion and recommendations: The overall magnitude of mental distress among students was found to be high. Therefore, it is recommended that mental distress needs due attention and remedial action from policy-makers, college officials, non-governmental organizations, parents, students and other concerned bodies. Keywords: Mental distress, Predictors, Health science students © The Author(s) 2020. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativeco mmons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/ zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. Introduction Mental distress is a mental health problem which includes anxiety, depression and somatic symptoms [1]. Currently mental distress is a major public mental health problem and a leading cause of disability worldwide, accounting for one-third of disability adjusted life years
EARLIER¶6-10
Data Availability Statement: All relevant data are within the manuscript and on Figshare via http://dx. doi.org/10.6084/m9.figshare.1295936. Funding: The authors have no support or funding to report. Competing Interests: The authors have declared that no competing interests exist. 2.59), lower grade than anticipated(AOR = 2.07; 95% CI 1.51–2.83), lack of vacation or break (AOR = 1.46; 95% CI 1.06–2.02), and low social support(AOR = 2.58; 95% CI 1.58– 4.22) were significantly associated with mental distress. Conclusion The overall prevalence of mental distress among students was found to be high. Therefore, it is recommended that mental distress needs due attention and remedial action from policy makers, college officials, non-governmental organizations, parents, students and other concerned bodies. Currently mental distress is an important public health problem and it is a leading cause of disability worldwide, accounting for one third of disability adjusted life years (DALYs) [4, 5]. In Africa mental illness is an important public health challenge that is under recognized as a public burden. Studies conducted in South Africa revealed that the prevalence of common mental disorders is 27% [6] In Ethiopia mental disorders account for 11% of total burden of diseases [7]. Although mental health problems affect society as a whole and no group is immune to mental disorders; students have significantly high level of psychological distress than their community peers [8–10]. This is due to the fact that university students face multiple stressors such as academic load, constant pressure to succeed, competition with peers, financial burden, peer, teacher or parental pressure as well as concerns about the future [11, 12]. This can have negative effects on student’s ability to study and academic outcomes [10, 13, 14]. Such situation of stress may later lead to mental health problems but students seldom seek help for their problems [15–17]. A study among undergraduate students in Canada showed that 30% of students had psychological distresses which was significantly higher than that of adults in the general population of Canada [18]. Furthermore, more than half of students in USA [19] 53% of students in Australia [20] 41.9% of students in Malaysia [21] 10.8% of students in Kenya [22] and 21.6% of students in Ethiopia [23] experienced mental distress. Another study in Ethiopia revealed that 32.6% of medical students experienced mental distress[24]. However, since this study was done only on medical students and with small sample size (273), it may not represent all University students in Ethiopia. Furthermore, this study was done in 2001 which may not reflect the current status of mental distress among University students in Ethiopia.
LATER¶0-3
Bedaso et al. Ann Gen Psychiatry (2020) 19:6 https://doi.org/10.1186/s12991-020-0258-y PRIMARY RESEARCH Predictors of mental distress among undergraduate health science students of Hawassa University, College of Medicine and Health Sciences, Hawassa, SNNPR, Ethiopia: a cross-sectional study Asres Bedaso1* , Bereket Duko1 and Tebikew Yeneabat2 Abstract Introduction: Mental distress is a mental health problem which includes anxiety, depression and somatic symptoms. Mental health problems affect society as a whole and no group is immune to mental disorders; however, students have significantly high level of mental distress than their community peers. Objective: The aim of the study is to assess magnitude of mental distress and its predictors among undergraduate health science students of Hawassa University, College of Medicine and Health Sciences, SNNPR, Ethiopia. Methods: Institution-based cross-sectional study was conducted among 311 students. Simple random sampling technique was used to select the study participants. Data were collected using pre-tested and structured self-administered questionnaire. Mental distress among students was assessed using SRQ-20, which is validated in Ethiopia. Bivariate and multivariate logistic regression model was fitted to identify predictors of mental distress among students. An adjusted odds ratio with 95% confidence interval was computed to determine the level of significance with P-value less than 0.05. Result: A total of 309 study participants were interviewed with a response rate of 99.34%. Among the total respondents 105 (34%) of them were found to have mental distress. In multiple logistic regression analysis, poor social support (AOR = 5.28; 95% CI (2.176–12.84) and current substances use (AOR = 12.83, 95% CI (7.13–23.13), were significant predictors of mental distress among respondents. Conclusion and recommendations: The overall magnitude of mental distress among students was found to be high. Therefore, it is recommended that mental distress needs due attention and remedial action from policy-makers, college officials, non-governmental organizations, parents, students and other concerned bodies. Keywords: Mental distress, Predictors, Health science students © The Author(s) 2020. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativeco mmons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/ zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. Introduction Mental distress is a mental health problem which includes anxiety, depression and somatic symptoms [1]. Currently mental distress is a major public mental health problem and a leading cause of disability worldwide, accounting for one-third of disability adjusted life years
EARLIER¶53-57
In this study, social support was also found to be another determinant factor for mental distress in students. Having high level of social support from significant others were negatively associated with mental distress. In this study, students with low social support were more than two times more likely to have mental distress as compared to those students with high social support AOR = 2.58; 95% CI 1.58–4.22). This finding is also supported by other studies [32, 44, 46]. This could be due to its effect on hypothalamic pitutary adrenocortical (HPA) system in reducing genetic and environmental vulnerabilities. Furthermore, It is also important for maintaining good physical and mental health [47]. Limitation of the study This study has some important limitations that should be kept in mind when interpreting the results. First, the cross-sectional nature of the study design does not confirm definitive cause and effect relationship. Furthermore, the study may prone to reporting bias since the data was collected based on self-reported information. Finally; reports for some of the questions were past history or encounters which are prone to recall bias. Conclusion and Recommendation The prevalence of mental distress among students was found to be high. The prevalence of mental distress was relatively high among female students. Being female sex, lack of interest towards the field of study, not having close friends, never attend religious programs, conflict with friends, absence of pocket money, having financial distress, family history of mental illness, ever use of Khat, lower grade than anticipated, lack of vacation or break, and low to moderate social support were factors associated with mental distress. Therefore, it is recommended that mental distress needs due attention and remedial action from policy makers, college officials, non-governmental organizations, parents, students and other concerned bodies. Programs aimed at preventing mental distress need to address these identified factors of mental distress against students. Acknowledgments The authors would like to thank facilitators and the study participants for their dedicated cooperation and made the study possible. Author Contributions Conceived and designed the experiments: BAD. Performed the experiments: BAD TAB RBG. Analyzed the data: BAD. Contributed reagents/materials/analysis tools: BAD TAB RBG. Wrote the paper: BAD TAB RBG.
LATER¶0-3
Bedaso et al. Ann Gen Psychiatry (2020) 19:6 https://doi.org/10.1186/s12991-020-0258-y PRIMARY RESEARCH Predictors of mental distress among undergraduate health science students of Hawassa University, College of Medicine and Health Sciences, Hawassa, SNNPR, Ethiopia: a cross-sectional study Asres Bedaso1* , Bereket Duko1 and Tebikew Yeneabat2 Abstract Introduction: Mental distress is a mental health problem which includes anxiety, depression and somatic symptoms. Mental health problems affect society as a whole and no group is immune to mental disorders; however, students have significantly high level of mental distress than their community peers. Objective: The aim of the study is to assess magnitude of mental distress and its predictors among undergraduate health science students of Hawassa University, College of Medicine and Health Sciences, SNNPR, Ethiopia. Methods: Institution-based cross-sectional study was conducted among 311 students. Simple random sampling technique was used to select the study participants. Data were collected using pre-tested and structured self-administered questionnaire. Mental distress among students was assessed using SRQ-20, which is validated in Ethiopia. Bivariate and multivariate logistic regression model was fitted to identify predictors of mental distress among students. An adjusted odds ratio with 95% confidence interval was computed to determine the level of significance with P-value less than 0.05. Result: A total of 309 study participants were interviewed with a response rate of 99.34%. Among the total respondents 105 (34%) of them were found to have mental distress. In multiple logistic regression analysis, poor social support (AOR = 5.28; 95% CI (2.176–12.84) and current substances use (AOR = 12.83, 95% CI (7.13–23.13), were significant predictors of mental distress among respondents. Conclusion and recommendations: The overall magnitude of mental distress among students was found to be high. Therefore, it is recommended that mental distress needs due attention and remedial action from policy-makers, college officials, non-governmental organizations, parents, students and other concerned bodies. Keywords: Mental distress, Predictors, Health science students © The Author(s) 2020. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativeco mmons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/ zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. Introduction Mental distress is a mental health problem which includes anxiety, depression and somatic symptoms [1]. Currently mental distress is a major public mental health problem and a leading cause of disability worldwide, accounting for one-third of disability adjusted life years
EARLIER¶8-12
Conclusion The overall prevalence of mental distress among students was found to be high. Therefore, it is recommended that mental distress needs due attention and remedial action from policy makers, college officials, non-governmental organizations, parents, students and other concerned bodies. Currently mental distress is an important public health problem and it is a leading cause of disability worldwide, accounting for one third of disability adjusted life years (DALYs) [4, 5]. In Africa mental illness is an important public health challenge that is under recognized as a public burden. Studies conducted in South Africa revealed that the prevalence of common mental disorders is 27% [6] In Ethiopia mental disorders account for 11% of total burden of diseases [7]. Although mental health problems affect society as a whole and no group is immune to mental disorders; students have significantly high level of psychological distress than their community peers [8–10]. This is due to the fact that university students face multiple stressors such as academic load, constant pressure to succeed, competition with peers, financial burden, peer, teacher or parental pressure as well as concerns about the future [11, 12]. This can have negative effects on student’s ability to study and academic outcomes [10, 13, 14]. Such situation of stress may later lead to mental health problems but students seldom seek help for their problems [15–17]. A study among undergraduate students in Canada showed that 30% of students had psychological distresses which was significantly higher than that of adults in the general population of Canada [18]. Furthermore, more than half of students in USA [19] 53% of students in Australia [20] 41.9% of students in Malaysia [21] 10.8% of students in Kenya [22] and 21.6% of students in Ethiopia [23] experienced mental distress. Another study in Ethiopia revealed that 32.6% of medical students experienced mental distress[24]. However, since this study was done only on medical students and with small sample size (273), it may not represent all University students in Ethiopia. Furthermore, this study was done in 2001 which may not reflect the current status of mental distress among University students in Ethiopia. Even if mental problem was included in the national health policy of Ethiopia, interventions against the problem are very limited and lack of information about the problem is a contributory factor for poor mental health services. Hence, Epidemiological data which shows the burden of mental health problems in students over time is mandatory. Therefore, this study was aimed to determine the prevalence of mental distress and identify the associated factors for mental distress among university students. Results from this study will help in developing evidence based mental health promotion and disease prevention programs. Mental Distress among University Students in Ethiopia PLOS ONE | DOI:10.1371/journal.pone.0119464 March 20, 2015 2 / 10 Methods Study design and period
LATER¶4-8
Open Access Annals of General Psychiatry *Correspondence: asresbedaso@gmail.com 1 Hawassa University, College of Medicine and Health Sciences, School of Nursing, P.O. Box 1560, Hawassa, Ethiopia Full list of author information is available at the end of the article Page 2 of 5 Bedaso et al. Ann Gen Psychiatry (2020) 19:6 [2]. In Africa mental illness particularly, mental distress is an important public health challenge that is under-recognized as a public problem [3]. Studies conducted among undergraduate students in Canada showed that 30% of students had mental distress which was significantly higher than adults in the general population of Canada [4]. Also more than half of students in USA [5] and 53% of students in Australia had mental distress [6]. A study conducted in South Africa, Malaysia, Kenya and Ethiopia revealed the prevalence of common mental disorders among college students is 27% [3], 41.9% [7], 10.8% [8] and 21.6% [9], respectively. In Ethiopia, mental distress accounts for 11% of the total burden of diseases [10]. Although mental health problems affect all society and no group is immune to psychiatric disorders, students have significantly high level of psychological distress than their community peers [11]. This is due to the fact that university students face multiple stressors such as academic load, constant pressure to succeed, competition with peers, financial problems, peer pressure, teacher or parental pressure as well as concerns about the future [12]. This can have negative effects on student’s ability to study and academic outcomes [13]. If not properly managed, such situation of stress may later lead students to develop mental distress [14].
EARLIER¶8-12
Conclusion The overall prevalence of mental distress among students was found to be high. Therefore, it is recommended that mental distress needs due attention and remedial action from policy makers, college officials, non-governmental organizations, parents, students and other concerned bodies. Currently mental distress is an important public health problem and it is a leading cause of disability worldwide, accounting for one third of disability adjusted life years (DALYs) [4, 5]. In Africa mental illness is an important public health challenge that is under recognized as a public burden. Studies conducted in South Africa revealed that the prevalence of common mental disorders is 27% [6] In Ethiopia mental disorders account for 11% of total burden of diseases [7]. Although mental health problems affect society as a whole and no group is immune to mental disorders; students have significantly high level of psychological distress than their community peers [8–10]. This is due to the fact that university students face multiple stressors such as academic load, constant pressure to succeed, competition with peers, financial burden, peer, teacher or parental pressure as well as concerns about the future [11, 12]. This can have negative effects on student’s ability to study and academic outcomes [10, 13, 14]. Such situation of stress may later lead to mental health problems but students seldom seek help for their problems [15–17]. A study among undergraduate students in Canada showed that 30% of students had psychological distresses which was significantly higher than that of adults in the general population of Canada [18]. Furthermore, more than half of students in USA [19] 53% of students in Australia [20] 41.9% of students in Malaysia [21] 10.8% of students in Kenya [22] and 21.6% of students in Ethiopia [23] experienced mental distress. Another study in Ethiopia revealed that 32.6% of medical students experienced mental distress[24]. However, since this study was done only on medical students and with small sample size (273), it may not represent all University students in Ethiopia. Furthermore, this study was done in 2001 which may not reflect the current status of mental distress among University students in Ethiopia. Even if mental problem was included in the national health policy of Ethiopia, interventions against the problem are very limited and lack of information about the problem is a contributory factor for poor mental health services. Hence, Epidemiological data which shows the burden of mental health problems in students over time is mandatory. Therefore, this study was aimed to determine the prevalence of mental distress and identify the associated factors for mental distress among university students. Results from this study will help in developing evidence based mental health promotion and disease prevention programs. Mental Distress among University Students in Ethiopia PLOS ONE | DOI:10.1371/journal.pone.0119464 March 20, 2015 2 / 10 Methods Study design and period
LATER¶5-10
Page 2 of 5 Bedaso et al. Ann Gen Psychiatry (2020) 19:6 [2]. In Africa mental illness particularly, mental distress is an important public health challenge that is under-recognized as a public problem [3]. Studies conducted among undergraduate students in Canada showed that 30% of students had mental distress which was significantly higher than adults in the general population of Canada [4]. Also more than half of students in USA [5] and 53% of students in Australia had mental distress [6]. A study conducted in South Africa, Malaysia, Kenya and Ethiopia revealed the prevalence of common mental disorders among college students is 27% [3], 41.9% [7], 10.8% [8] and 21.6% [9], respectively. In Ethiopia, mental distress accounts for 11% of the total burden of diseases [10]. Although mental health problems affect all society and no group is immune to psychiatric disorders, students have significantly high level of psychological distress than their community peers [11]. This is due to the fact that university students face multiple stressors such as academic load, constant pressure to succeed, competition with peers, financial problems, peer pressure, teacher or parental pressure as well as concerns about the future [12]. This can have negative effects on student’s ability to study and academic outcomes [13]. If not properly managed, such situation of stress may later lead students to develop mental distress [14]. Another study conducted in Ethiopia revealed that 32.6% of medical students experienced mental distress [15]. However, since this study was done only on medical students and with small sample size, it may not represent all university students in Ethiopia. A cross-sectional study conducted in University of Gondar the prevalence of mental distress was 40.9% [16]. In a study conducted in Haramaya University, the prevalence of mental distress was found 19.3% [17] and in Hawassa University among medical students the prevalence was 30% [18]. Due to the fact that there were few published literatures regarding the issue in our country, especially among health science students, this study was conducted with the aim of serving as a baseline for further study and to recommend the concerned bodies to intervene on this target group of population.
EARLIER¶8-12
Conclusion The overall prevalence of mental distress among students was found to be high. Therefore, it is recommended that mental distress needs due attention and remedial action from policy makers, college officials, non-governmental organizations, parents, students and other concerned bodies. Currently mental distress is an important public health problem and it is a leading cause of disability worldwide, accounting for one third of disability adjusted life years (DALYs) [4, 5]. In Africa mental illness is an important public health challenge that is under recognized as a public burden. Studies conducted in South Africa revealed that the prevalence of common mental disorders is 27% [6] In Ethiopia mental disorders account for 11% of total burden of diseases [7]. Although mental health problems affect society as a whole and no group is immune to mental disorders; students have significantly high level of psychological distress than their community peers [8–10]. This is due to the fact that university students face multiple stressors such as academic load, constant pressure to succeed, competition with peers, financial burden, peer, teacher or parental pressure as well as concerns about the future [11, 12]. This can have negative effects on student’s ability to study and academic outcomes [10, 13, 14]. Such situation of stress may later lead to mental health problems but students seldom seek help for their problems [15–17]. A study among undergraduate students in Canada showed that 30% of students had psychological distresses which was significantly higher than that of adults in the general population of Canada [18]. Furthermore, more than half of students in USA [19] 53% of students in Australia [20] 41.9% of students in Malaysia [21] 10.8% of students in Kenya [22] and 21.6% of students in Ethiopia [23] experienced mental distress. Another study in Ethiopia revealed that 32.6% of medical students experienced mental distress[24]. However, since this study was done only on medical students and with small sample size (273), it may not represent all University students in Ethiopia. Furthermore, this study was done in 2001 which may not reflect the current status of mental distress among University students in Ethiopia. Even if mental problem was included in the national health policy of Ethiopia, interventions against the problem are very limited and lack of information about the problem is a contributory factor for poor mental health services. Hence, Epidemiological data which shows the burden of mental health problems in students over time is mandatory. Therefore, this study was aimed to determine the prevalence of mental distress and identify the associated factors for mental distress among university students. Results from this study will help in developing evidence based mental health promotion and disease prevention programs. Mental Distress among University Students in Ethiopia PLOS ONE | DOI:10.1371/journal.pone.0119464 March 20, 2015 2 / 10 Methods Study design and period
LATER¶6-10
Studies conducted among undergraduate students in Canada showed that 30% of students had mental distress which was significantly higher than adults in the general population of Canada [4]. Also more than half of students in USA [5] and 53% of students in Australia had mental distress [6]. A study conducted in South Africa, Malaysia, Kenya and Ethiopia revealed the prevalence of common mental disorders among college students is 27% [3], 41.9% [7], 10.8% [8] and 21.6% [9], respectively. In Ethiopia, mental distress accounts for 11% of the total burden of diseases [10]. Although mental health problems affect all society and no group is immune to psychiatric disorders, students have significantly high level of psychological distress than their community peers [11]. This is due to the fact that university students face multiple stressors such as academic load, constant pressure to succeed, competition with peers, financial problems, peer pressure, teacher or parental pressure as well as concerns about the future [12]. This can have negative effects on student’s ability to study and academic outcomes [13]. If not properly managed, such situation of stress may later lead students to develop mental distress [14]. Another study conducted in Ethiopia revealed that 32.6% of medical students experienced mental distress [15]. However, since this study was done only on medical students and with small sample size, it may not represent all university students in Ethiopia. A cross-sectional study conducted in University of Gondar the prevalence of mental distress was 40.9% [16]. In a study conducted in Haramaya University, the prevalence of mental distress was found 19.3% [17] and in Hawassa University among medical students the prevalence was 30% [18]. Due to the fact that there were few published literatures regarding the issue in our country, especially among health science students, this study was conducted with the aim of serving as a baseline for further study and to recommend the concerned bodies to intervene on this target group of population.
EARLIER¶8-12
Conclusion The overall prevalence of mental distress among students was found to be high. Therefore, it is recommended that mental distress needs due attention and remedial action from policy makers, college officials, non-governmental organizations, parents, students and other concerned bodies. Currently mental distress is an important public health problem and it is a leading cause of disability worldwide, accounting for one third of disability adjusted life years (DALYs) [4, 5]. In Africa mental illness is an important public health challenge that is under recognized as a public burden. Studies conducted in South Africa revealed that the prevalence of common mental disorders is 27% [6] In Ethiopia mental disorders account for 11% of total burden of diseases [7]. Although mental health problems affect society as a whole and no group is immune to mental disorders; students have significantly high level of psychological distress than their community peers [8–10]. This is due to the fact that university students face multiple stressors such as academic load, constant pressure to succeed, competition with peers, financial burden, peer, teacher or parental pressure as well as concerns about the future [11, 12]. This can have negative effects on student’s ability to study and academic outcomes [10, 13, 14]. Such situation of stress may later lead to mental health problems but students seldom seek help for their problems [15–17]. A study among undergraduate students in Canada showed that 30% of students had psychological distresses which was significantly higher than that of adults in the general population of Canada [18]. Furthermore, more than half of students in USA [19] 53% of students in Australia [20] 41.9% of students in Malaysia [21] 10.8% of students in Kenya [22] and 21.6% of students in Ethiopia [23] experienced mental distress. Another study in Ethiopia revealed that 32.6% of medical students experienced mental distress[24]. However, since this study was done only on medical students and with small sample size (273), it may not represent all University students in Ethiopia. Furthermore, this study was done in 2001 which may not reflect the current status of mental distress among University students in Ethiopia. Even if mental problem was included in the national health policy of Ethiopia, interventions against the problem are very limited and lack of information about the problem is a contributory factor for poor mental health services. Hence, Epidemiological data which shows the burden of mental health problems in students over time is mandatory. Therefore, this study was aimed to determine the prevalence of mental distress and identify the associated factors for mental distress among university students. Results from this study will help in developing evidence based mental health promotion and disease prevention programs. Mental Distress among University Students in Ethiopia PLOS ONE | DOI:10.1371/journal.pone.0119464 March 20, 2015 2 / 10 Methods Study design and period
LATER¶6-10
Studies conducted among undergraduate students in Canada showed that 30% of students had mental distress which was significantly higher than adults in the general population of Canada [4]. Also more than half of students in USA [5] and 53% of students in Australia had mental distress [6]. A study conducted in South Africa, Malaysia, Kenya and Ethiopia revealed the prevalence of common mental disorders among college students is 27% [3], 41.9% [7], 10.8% [8] and 21.6% [9], respectively. In Ethiopia, mental distress accounts for 11% of the total burden of diseases [10]. Although mental health problems affect all society and no group is immune to psychiatric disorders, students have significantly high level of psychological distress than their community peers [11]. This is due to the fact that university students face multiple stressors such as academic load, constant pressure to succeed, competition with peers, financial problems, peer pressure, teacher or parental pressure as well as concerns about the future [12]. This can have negative effects on student’s ability to study and academic outcomes [13]. If not properly managed, such situation of stress may later lead students to develop mental distress [14]. Another study conducted in Ethiopia revealed that 32.6% of medical students experienced mental distress [15]. However, since this study was done only on medical students and with small sample size, it may not represent all university students in Ethiopia. A cross-sectional study conducted in University of Gondar the prevalence of mental distress was 40.9% [16]. In a study conducted in Haramaya University, the prevalence of mental distress was found 19.3% [17] and in Hawassa University among medical students the prevalence was 30% [18]. Due to the fact that there were few published literatures regarding the issue in our country, especially among health science students, this study was conducted with the aim of serving as a baseline for further study and to recommend the concerned bodies to intervene on this target group of population.
EARLIER¶8-12
Conclusion The overall prevalence of mental distress among students was found to be high. Therefore, it is recommended that mental distress needs due attention and remedial action from policy makers, college officials, non-governmental organizations, parents, students and other concerned bodies. Currently mental distress is an important public health problem and it is a leading cause of disability worldwide, accounting for one third of disability adjusted life years (DALYs) [4, 5]. In Africa mental illness is an important public health challenge that is under recognized as a public burden. Studies conducted in South Africa revealed that the prevalence of common mental disorders is 27% [6] In Ethiopia mental disorders account for 11% of total burden of diseases [7]. Although mental health problems affect society as a whole and no group is immune to mental disorders; students have significantly high level of psychological distress than their community peers [8–10]. This is due to the fact that university students face multiple stressors such as academic load, constant pressure to succeed, competition with peers, financial burden, peer, teacher or parental pressure as well as concerns about the future [11, 12]. This can have negative effects on student’s ability to study and academic outcomes [10, 13, 14]. Such situation of stress may later lead to mental health problems but students seldom seek help for their problems [15–17]. A study among undergraduate students in Canada showed that 30% of students had psychological distresses which was significantly higher than that of adults in the general population of Canada [18]. Furthermore, more than half of students in USA [19] 53% of students in Australia [20] 41.9% of students in Malaysia [21] 10.8% of students in Kenya [22] and 21.6% of students in Ethiopia [23] experienced mental distress. Another study in Ethiopia revealed that 32.6% of medical students experienced mental distress[24]. However, since this study was done only on medical students and with small sample size (273), it may not represent all University students in Ethiopia. Furthermore, this study was done in 2001 which may not reflect the current status of mental distress among University students in Ethiopia. Even if mental problem was included in the national health policy of Ethiopia, interventions against the problem are very limited and lack of information about the problem is a contributory factor for poor mental health services. Hence, Epidemiological data which shows the burden of mental health problems in students over time is mandatory. Therefore, this study was aimed to determine the prevalence of mental distress and identify the associated factors for mental distress among university students. Results from this study will help in developing evidence based mental health promotion and disease prevention programs. Mental Distress among University Students in Ethiopia PLOS ONE | DOI:10.1371/journal.pone.0119464 March 20, 2015 2 / 10 Methods Study design and period
LATER¶7-11
A study conducted in South Africa, Malaysia, Kenya and Ethiopia revealed the prevalence of common mental disorders among college students is 27% [3], 41.9% [7], 10.8% [8] and 21.6% [9], respectively. In Ethiopia, mental distress accounts for 11% of the total burden of diseases [10]. Although mental health problems affect all society and no group is immune to psychiatric disorders, students have significantly high level of psychological distress than their community peers [11]. This is due to the fact that university students face multiple stressors such as academic load, constant pressure to succeed, competition with peers, financial problems, peer pressure, teacher or parental pressure as well as concerns about the future [12]. This can have negative effects on student’s ability to study and academic outcomes [13]. If not properly managed, such situation of stress may later lead students to develop mental distress [14]. Another study conducted in Ethiopia revealed that 32.6% of medical students experienced mental distress [15]. However, since this study was done only on medical students and with small sample size, it may not represent all university students in Ethiopia. A cross-sectional study conducted in University of Gondar the prevalence of mental distress was 40.9% [16]. In a study conducted in Haramaya University, the prevalence of mental distress was found 19.3% [17] and in Hawassa University among medical students the prevalence was 30% [18]. Due to the fact that there were few published literatures regarding the issue in our country, especially among health science students, this study was conducted with the aim of serving as a baseline for further study and to recommend the concerned bodies to intervene on this target group of population. Method Study design and period Institution-based cross-sectional study design was conducted to assess the magnitude of mental distress and its predictors among undergraduate health science students of Hawassa University, College of Medicine and Health Sciences, Hawassa City, SNNPR, Ethiopia, from January 29 to February 14/2017 GC which was exam-free period.
EARLIER¶8-12
Conclusion The overall prevalence of mental distress among students was found to be high. Therefore, it is recommended that mental distress needs due attention and remedial action from policy makers, college officials, non-governmental organizations, parents, students and other concerned bodies. Currently mental distress is an important public health problem and it is a leading cause of disability worldwide, accounting for one third of disability adjusted life years (DALYs) [4, 5]. In Africa mental illness is an important public health challenge that is under recognized as a public burden. Studies conducted in South Africa revealed that the prevalence of common mental disorders is 27% [6] In Ethiopia mental disorders account for 11% of total burden of diseases [7]. Although mental health problems affect society as a whole and no group is immune to mental disorders; students have significantly high level of psychological distress than their community peers [8–10]. This is due to the fact that university students face multiple stressors such as academic load, constant pressure to succeed, competition with peers, financial burden, peer, teacher or parental pressure as well as concerns about the future [11, 12]. This can have negative effects on student’s ability to study and academic outcomes [10, 13, 14]. Such situation of stress may later lead to mental health problems but students seldom seek help for their problems [15–17]. A study among undergraduate students in Canada showed that 30% of students had psychological distresses which was significantly higher than that of adults in the general population of Canada [18]. Furthermore, more than half of students in USA [19] 53% of students in Australia [20] 41.9% of students in Malaysia [21] 10.8% of students in Kenya [22] and 21.6% of students in Ethiopia [23] experienced mental distress. Another study in Ethiopia revealed that 32.6% of medical students experienced mental distress[24]. However, since this study was done only on medical students and with small sample size (273), it may not represent all University students in Ethiopia. Furthermore, this study was done in 2001 which may not reflect the current status of mental distress among University students in Ethiopia. Even if mental problem was included in the national health policy of Ethiopia, interventions against the problem are very limited and lack of information about the problem is a contributory factor for poor mental health services. Hence, Epidemiological data which shows the burden of mental health problems in students over time is mandatory. Therefore, this study was aimed to determine the prevalence of mental distress and identify the associated factors for mental distress among university students. Results from this study will help in developing evidence based mental health promotion and disease prevention programs. Mental Distress among University Students in Ethiopia PLOS ONE | DOI:10.1371/journal.pone.0119464 March 20, 2015 2 / 10 Methods Study design and period
LATER¶7-11
A study conducted in South Africa, Malaysia, Kenya and Ethiopia revealed the prevalence of common mental disorders among college students is 27% [3], 41.9% [7], 10.8% [8] and 21.6% [9], respectively. In Ethiopia, mental distress accounts for 11% of the total burden of diseases [10]. Although mental health problems affect all society and no group is immune to psychiatric disorders, students have significantly high level of psychological distress than their community peers [11]. This is due to the fact that university students face multiple stressors such as academic load, constant pressure to succeed, competition with peers, financial problems, peer pressure, teacher or parental pressure as well as concerns about the future [12]. This can have negative effects on student’s ability to study and academic outcomes [13]. If not properly managed, such situation of stress may later lead students to develop mental distress [14]. Another study conducted in Ethiopia revealed that 32.6% of medical students experienced mental distress [15]. However, since this study was done only on medical students and with small sample size, it may not represent all university students in Ethiopia. A cross-sectional study conducted in University of Gondar the prevalence of mental distress was 40.9% [16]. In a study conducted in Haramaya University, the prevalence of mental distress was found 19.3% [17] and in Hawassa University among medical students the prevalence was 30% [18]. Due to the fact that there were few published literatures regarding the issue in our country, especially among health science students, this study was conducted with the aim of serving as a baseline for further study and to recommend the concerned bodies to intervene on this target group of population. Method Study design and period Institution-based cross-sectional study design was conducted to assess the magnitude of mental distress and its predictors among undergraduate health science students of Hawassa University, College of Medicine and Health Sciences, Hawassa City, SNNPR, Ethiopia, from January 29 to February 14/2017 GC which was exam-free period.
EARLIER¶13-17
Institution based cross sectional study was used to determine the prevalence of mental distress and associated factors among University of Gondar undergraduate students from April 9–11/ 2014. The study was conducted in University of Gondar, which is located 748 KM away from Addis Ababa, the capital city of Ethiopia, to the Northwest direction. The study subjects for this study were regular undergraduate students in the University of Gondar. There are about 15,723 regular undergraduate students enrolled in 2013/2014 academic year in the University. Sampling technique Sample size was determined by single population proportion formula using EPI INFO stat calc program with the assumption of population size 15,723, 95% level of confidence, 4% of marginal error, and taking prevalence of mental distress 21.6% [23]. Considering the design effect of two and 10% non response rate, the final sample size became 872. Stratified multistage sampling technique was used to select study participants. Data collection tools and procedures Data were collected using structured self administered questionnaire having five parts. The first part contains socio-demographic characteristics of students. The second part of the questionnaire is a Self Reporting Questionnaire. In this study self reporting questionnaire was used to estimate the prevalence of mental distress in students. This self reporting questionnaire (referred to as the SRQ-20) is a standardized questionnaire having 20 item questions, originally developed by World Health Organization (WHO) designed to indicate mental distress [25]. The tool is adopted from WHO and was validated in low and middle income countries including Ethiopia [26, 27]. In this study, students who were found to have 8 or more symptoms of the 20 items self reporting questionnaires (SRQ-20) in the last 4 weeks were considered as having mental distress. The cutoff point was used based on the reports from the validation study of SRQ-20 that gave the highest sensitivity and specificity which corresponds to a cut-off point of 8 [26]. Third part of the questionnaire is asking about behavioral factors, which includes history of substance use (like Alcohol use, Khat chewing, cigarette smoking, Shisha and sedative use) of students. The fourth part of the questionnaire is assessing about academic factors and the last part of the questionnaire is assessing about social support using 12-item Multidimensional Scale of Perceived Social Support Tool [28]. The items are divided in to factor groups relating to the source of social support namely family, friends and significant others. Each item is scored from one (Very strongly disagree) to 7 (very strongly agree). The total sum of all the 12 items possibly ranges from 12 to 84. A score 69–84 considered as high level of social support whereas a score of 49–68 and 12–48 were considered as moderate and low level of social support respectively. The reliability of the tool was checked using Cronbach’s alpha reliability test with a score of 0.82 (95% CI 0.801–0.837). One MSc in mental health supervisor and nine nurse professional facilitators were employed and trained for half a day about the purpose of the study, timely collection of data and overall data collection procedure. English version questionnaire was used to collect the data. Data quality control To assure the quality of the data the questionnaire was pre-tested 1 week before the actual data collection time on 50 undergraduate students at Debretabour University and appropriate modification was made. Training was given for the supervisor and the facilitators. During the
LATER¶13-17
Sample size determination and sampling procedures The participants of this study were undergraduate health science students enrolled in the year 2016/2017 and attending classes in regular program under College of Medicine and Health Science. Students were stratified based on the year of study. Since there was no study done among health science students, sample size was calculated by assuming the prevalence of mental distress 50%, 95% confidence interval and 5% margin of error. Considering the total population (N = 1170 health science students) correction formula was used and adding 10% for non-response the final sample size was 309. Simple random sampling technique was used to select the 309 study subjects to be included in the study. Data collection instrument Data were collected using self-administered technique. The English version of the first part of the tool contains socio-demographic characteristics of students. The second part of the questionnaire asks about behavioral factors, which includes history of substance use (alcohol use, chat chewing and cigarette smoking) of students and the third part of the questionnaire assesses about social support of students using 3-item Oslo Social Support Scale. The fourth part of the questionnaire is self-reporting questionnaire (referred to as SRQ-20). Self-reporting questionnaire was used to estimate the prevalence of mental distress among health science students. This self-reporting questionnaire is a standardized questionnaire having 20-item questions, originally developed by World Health Organization (WHO) designed to indicate mental distress. The tool is adopted from WHO and was validated in low- and middle-income countries including Ethiopia. Students who were found to have 8 or more symptoms of the 20-item self-reporting questionnaires (SRQ-20) in the last 4 weeks were considered as having mental distress. The cut-off point was used based on the reports from the validation study of SRQ-20 that gave the highest sensitivity and specificity which corresponds to a cut-off point of 7 [19]. Page 3 of 5 Bedaso et al. Ann Gen Psychiatry (2020) 19:6 Social support of the study participants was assessed using 12-item Multidimensional Scale of Perceived Social Support Tool [20]. The items are divided in to factor groups relating to the source of social support, namely family, friends and significant others. Each item is scored from one (very strongly disagree) to 7 (very strongly agree). The total sum of all the 12 items possibly ranges from 12 to 84. A score 69–84 considered as high level of social support, whereas a score of 49–68 and 12–48 were considered as moderate and low level of social support, respectively. The reliability of the tool was checked using Cronbach’s alpha reliability test with a score of 0.82 (95% CI 0.801–0.837). Pre-test was conducted on 5% of sample size in Dilla University to ensure the reliability of the tool with Cronbach’s α = 0.79. The collected data were reviewed and checked for completeness by group members on each day.
EARLIER¶13-17
Institution based cross sectional study was used to determine the prevalence of mental distress and associated factors among University of Gondar undergraduate students from April 9–11/ 2014. The study was conducted in University of Gondar, which is located 748 KM away from Addis Ababa, the capital city of Ethiopia, to the Northwest direction. The study subjects for this study were regular undergraduate students in the University of Gondar. There are about 15,723 regular undergraduate students enrolled in 2013/2014 academic year in the University. Sampling technique Sample size was determined by single population proportion formula using EPI INFO stat calc program with the assumption of population size 15,723, 95% level of confidence, 4% of marginal error, and taking prevalence of mental distress 21.6% [23]. Considering the design effect of two and 10% non response rate, the final sample size became 872. Stratified multistage sampling technique was used to select study participants. Data collection tools and procedures Data were collected using structured self administered questionnaire having five parts. The first part contains socio-demographic characteristics of students. The second part of the questionnaire is a Self Reporting Questionnaire. In this study self reporting questionnaire was used to estimate the prevalence of mental distress in students. This self reporting questionnaire (referred to as the SRQ-20) is a standardized questionnaire having 20 item questions, originally developed by World Health Organization (WHO) designed to indicate mental distress [25]. The tool is adopted from WHO and was validated in low and middle income countries including Ethiopia [26, 27]. In this study, students who were found to have 8 or more symptoms of the 20 items self reporting questionnaires (SRQ-20) in the last 4 weeks were considered as having mental distress. The cutoff point was used based on the reports from the validation study of SRQ-20 that gave the highest sensitivity and specificity which corresponds to a cut-off point of 8 [26]. Third part of the questionnaire is asking about behavioral factors, which includes history of substance use (like Alcohol use, Khat chewing, cigarette smoking, Shisha and sedative use) of students. The fourth part of the questionnaire is assessing about academic factors and the last part of the questionnaire is assessing about social support using 12-item Multidimensional Scale of Perceived Social Support Tool [28]. The items are divided in to factor groups relating to the source of social support namely family, friends and significant others. Each item is scored from one (Very strongly disagree) to 7 (very strongly agree). The total sum of all the 12 items possibly ranges from 12 to 84. A score 69–84 considered as high level of social support whereas a score of 49–68 and 12–48 were considered as moderate and low level of social support respectively. The reliability of the tool was checked using Cronbach’s alpha reliability test with a score of 0.82 (95% CI 0.801–0.837). One MSc in mental health supervisor and nine nurse professional facilitators were employed and trained for half a day about the purpose of the study, timely collection of data and overall data collection procedure. English version questionnaire was used to collect the data. Data quality control To assure the quality of the data the questionnaire was pre-tested 1 week before the actual data collection time on 50 undergraduate students at Debretabour University and appropriate modification was made. Training was given for the supervisor and the facilitators. During the
LATER¶13-17
Sample size determination and sampling procedures The participants of this study were undergraduate health science students enrolled in the year 2016/2017 and attending classes in regular program under College of Medicine and Health Science. Students were stratified based on the year of study. Since there was no study done among health science students, sample size was calculated by assuming the prevalence of mental distress 50%, 95% confidence interval and 5% margin of error. Considering the total population (N = 1170 health science students) correction formula was used and adding 10% for non-response the final sample size was 309. Simple random sampling technique was used to select the 309 study subjects to be included in the study. Data collection instrument Data were collected using self-administered technique. The English version of the first part of the tool contains socio-demographic characteristics of students. The second part of the questionnaire asks about behavioral factors, which includes history of substance use (alcohol use, chat chewing and cigarette smoking) of students and the third part of the questionnaire assesses about social support of students using 3-item Oslo Social Support Scale. The fourth part of the questionnaire is self-reporting questionnaire (referred to as SRQ-20). Self-reporting questionnaire was used to estimate the prevalence of mental distress among health science students. This self-reporting questionnaire is a standardized questionnaire having 20-item questions, originally developed by World Health Organization (WHO) designed to indicate mental distress. The tool is adopted from WHO and was validated in low- and middle-income countries including Ethiopia. Students who were found to have 8 or more symptoms of the 20-item self-reporting questionnaires (SRQ-20) in the last 4 weeks were considered as having mental distress. The cut-off point was used based on the reports from the validation study of SRQ-20 that gave the highest sensitivity and specificity which corresponds to a cut-off point of 7 [19]. Page 3 of 5 Bedaso et al. Ann Gen Psychiatry (2020) 19:6 Social support of the study participants was assessed using 12-item Multidimensional Scale of Perceived Social Support Tool [20]. The items are divided in to factor groups relating to the source of social support, namely family, friends and significant others. Each item is scored from one (very strongly disagree) to 7 (very strongly agree). The total sum of all the 12 items possibly ranges from 12 to 84. A score 69–84 considered as high level of social support, whereas a score of 49–68 and 12–48 were considered as moderate and low level of social support, respectively. The reliability of the tool was checked using Cronbach’s alpha reliability test with a score of 0.82 (95% CI 0.801–0.837). Pre-test was conducted on 5% of sample size in Dilla University to ensure the reliability of the tool with Cronbach’s α = 0.79. The collected data were reviewed and checked for completeness by group members on each day.
EARLIER¶13-17
Institution based cross sectional study was used to determine the prevalence of mental distress and associated factors among University of Gondar undergraduate students from April 9–11/ 2014. The study was conducted in University of Gondar, which is located 748 KM away from Addis Ababa, the capital city of Ethiopia, to the Northwest direction. The study subjects for this study were regular undergraduate students in the University of Gondar. There are about 15,723 regular undergraduate students enrolled in 2013/2014 academic year in the University. Sampling technique Sample size was determined by single population proportion formula using EPI INFO stat calc program with the assumption of population size 15,723, 95% level of confidence, 4% of marginal error, and taking prevalence of mental distress 21.6% [23]. Considering the design effect of two and 10% non response rate, the final sample size became 872. Stratified multistage sampling technique was used to select study participants. Data collection tools and procedures Data were collected using structured self administered questionnaire having five parts. The first part contains socio-demographic characteristics of students. The second part of the questionnaire is a Self Reporting Questionnaire. In this study self reporting questionnaire was used to estimate the prevalence of mental distress in students. This self reporting questionnaire (referred to as the SRQ-20) is a standardized questionnaire having 20 item questions, originally developed by World Health Organization (WHO) designed to indicate mental distress [25]. The tool is adopted from WHO and was validated in low and middle income countries including Ethiopia [26, 27]. In this study, students who were found to have 8 or more symptoms of the 20 items self reporting questionnaires (SRQ-20) in the last 4 weeks were considered as having mental distress. The cutoff point was used based on the reports from the validation study of SRQ-20 that gave the highest sensitivity and specificity which corresponds to a cut-off point of 8 [26]. Third part of the questionnaire is asking about behavioral factors, which includes history of substance use (like Alcohol use, Khat chewing, cigarette smoking, Shisha and sedative use) of students. The fourth part of the questionnaire is assessing about academic factors and the last part of the questionnaire is assessing about social support using 12-item Multidimensional Scale of Perceived Social Support Tool [28]. The items are divided in to factor groups relating to the source of social support namely family, friends and significant others. Each item is scored from one (Very strongly disagree) to 7 (very strongly agree). The total sum of all the 12 items possibly ranges from 12 to 84. A score 69–84 considered as high level of social support whereas a score of 49–68 and 12–48 were considered as moderate and low level of social support respectively. The reliability of the tool was checked using Cronbach’s alpha reliability test with a score of 0.82 (95% CI 0.801–0.837). One MSc in mental health supervisor and nine nurse professional facilitators were employed and trained for half a day about the purpose of the study, timely collection of data and overall data collection procedure. English version questionnaire was used to collect the data. Data quality control To assure the quality of the data the questionnaire was pre-tested 1 week before the actual data collection time on 50 undergraduate students at Debretabour University and appropriate modification was made. Training was given for the supervisor and the facilitators. During the
LATER¶13-17
Sample size determination and sampling procedures The participants of this study were undergraduate health science students enrolled in the year 2016/2017 and attending classes in regular program under College of Medicine and Health Science. Students were stratified based on the year of study. Since there was no study done among health science students, sample size was calculated by assuming the prevalence of mental distress 50%, 95% confidence interval and 5% margin of error. Considering the total population (N = 1170 health science students) correction formula was used and adding 10% for non-response the final sample size was 309. Simple random sampling technique was used to select the 309 study subjects to be included in the study. Data collection instrument Data were collected using self-administered technique. The English version of the first part of the tool contains socio-demographic characteristics of students. The second part of the questionnaire asks about behavioral factors, which includes history of substance use (alcohol use, chat chewing and cigarette smoking) of students and the third part of the questionnaire assesses about social support of students using 3-item Oslo Social Support Scale. The fourth part of the questionnaire is self-reporting questionnaire (referred to as SRQ-20). Self-reporting questionnaire was used to estimate the prevalence of mental distress among health science students. This self-reporting questionnaire is a standardized questionnaire having 20-item questions, originally developed by World Health Organization (WHO) designed to indicate mental distress. The tool is adopted from WHO and was validated in low- and middle-income countries including Ethiopia. Students who were found to have 8 or more symptoms of the 20-item self-reporting questionnaires (SRQ-20) in the last 4 weeks were considered as having mental distress. The cut-off point was used based on the reports from the validation study of SRQ-20 that gave the highest sensitivity and specificity which corresponds to a cut-off point of 7 [19]. Page 3 of 5 Bedaso et al. Ann Gen Psychiatry (2020) 19:6 Social support of the study participants was assessed using 12-item Multidimensional Scale of Perceived Social Support Tool [20]. The items are divided in to factor groups relating to the source of social support, namely family, friends and significant others. Each item is scored from one (very strongly disagree) to 7 (very strongly agree). The total sum of all the 12 items possibly ranges from 12 to 84. A score 69–84 considered as high level of social support, whereas a score of 49–68 and 12–48 were considered as moderate and low level of social support, respectively. The reliability of the tool was checked using Cronbach’s alpha reliability test with a score of 0.82 (95% CI 0.801–0.837). Pre-test was conducted on 5% of sample size in Dilla University to ensure the reliability of the tool with Cronbach’s α = 0.79. The collected data were reviewed and checked for completeness by group members on each day.
EARLIER¶13-17
Institution based cross sectional study was used to determine the prevalence of mental distress and associated factors among University of Gondar undergraduate students from April 9–11/ 2014. The study was conducted in University of Gondar, which is located 748 KM away from Addis Ababa, the capital city of Ethiopia, to the Northwest direction. The study subjects for this study were regular undergraduate students in the University of Gondar. There are about 15,723 regular undergraduate students enrolled in 2013/2014 academic year in the University. Sampling technique Sample size was determined by single population proportion formula using EPI INFO stat calc program with the assumption of population size 15,723, 95% level of confidence, 4% of marginal error, and taking prevalence of mental distress 21.6% [23]. Considering the design effect of two and 10% non response rate, the final sample size became 872. Stratified multistage sampling technique was used to select study participants. Data collection tools and procedures Data were collected using structured self administered questionnaire having five parts. The first part contains socio-demographic characteristics of students. The second part of the questionnaire is a Self Reporting Questionnaire. In this study self reporting questionnaire was used to estimate the prevalence of mental distress in students. This self reporting questionnaire (referred to as the SRQ-20) is a standardized questionnaire having 20 item questions, originally developed by World Health Organization (WHO) designed to indicate mental distress [25]. The tool is adopted from WHO and was validated in low and middle income countries including Ethiopia [26, 27]. In this study, students who were found to have 8 or more symptoms of the 20 items self reporting questionnaires (SRQ-20) in the last 4 weeks were considered as having mental distress. The cutoff point was used based on the reports from the validation study of SRQ-20 that gave the highest sensitivity and specificity which corresponds to a cut-off point of 8 [26]. Third part of the questionnaire is asking about behavioral factors, which includes history of substance use (like Alcohol use, Khat chewing, cigarette smoking, Shisha and sedative use) of students. The fourth part of the questionnaire is assessing about academic factors and the last part of the questionnaire is assessing about social support using 12-item Multidimensional Scale of Perceived Social Support Tool [28]. The items are divided in to factor groups relating to the source of social support namely family, friends and significant others. Each item is scored from one (Very strongly disagree) to 7 (very strongly agree). The total sum of all the 12 items possibly ranges from 12 to 84. A score 69–84 considered as high level of social support whereas a score of 49–68 and 12–48 were considered as moderate and low level of social support respectively. The reliability of the tool was checked using Cronbach’s alpha reliability test with a score of 0.82 (95% CI 0.801–0.837). One MSc in mental health supervisor and nine nurse professional facilitators were employed and trained for half a day about the purpose of the study, timely collection of data and overall data collection procedure. English version questionnaire was used to collect the data. Data quality control To assure the quality of the data the questionnaire was pre-tested 1 week before the actual data collection time on 50 undergraduate students at Debretabour University and appropriate modification was made. Training was given for the supervisor and the facilitators. During the
LATER¶13-17
Sample size determination and sampling procedures The participants of this study were undergraduate health science students enrolled in the year 2016/2017 and attending classes in regular program under College of Medicine and Health Science. Students were stratified based on the year of study. Since there was no study done among health science students, sample size was calculated by assuming the prevalence of mental distress 50%, 95% confidence interval and 5% margin of error. Considering the total population (N = 1170 health science students) correction formula was used and adding 10% for non-response the final sample size was 309. Simple random sampling technique was used to select the 309 study subjects to be included in the study. Data collection instrument Data were collected using self-administered technique. The English version of the first part of the tool contains socio-demographic characteristics of students. The second part of the questionnaire asks about behavioral factors, which includes history of substance use (alcohol use, chat chewing and cigarette smoking) of students and the third part of the questionnaire assesses about social support of students using 3-item Oslo Social Support Scale. The fourth part of the questionnaire is self-reporting questionnaire (referred to as SRQ-20). Self-reporting questionnaire was used to estimate the prevalence of mental distress among health science students. This self-reporting questionnaire is a standardized questionnaire having 20-item questions, originally developed by World Health Organization (WHO) designed to indicate mental distress. The tool is adopted from WHO and was validated in low- and middle-income countries including Ethiopia. Students who were found to have 8 or more symptoms of the 20-item self-reporting questionnaires (SRQ-20) in the last 4 weeks were considered as having mental distress. The cut-off point was used based on the reports from the validation study of SRQ-20 that gave the highest sensitivity and specificity which corresponds to a cut-off point of 7 [19]. Page 3 of 5 Bedaso et al. Ann Gen Psychiatry (2020) 19:6 Social support of the study participants was assessed using 12-item Multidimensional Scale of Perceived Social Support Tool [20]. The items are divided in to factor groups relating to the source of social support, namely family, friends and significant others. Each item is scored from one (very strongly disagree) to 7 (very strongly agree). The total sum of all the 12 items possibly ranges from 12 to 84. A score 69–84 considered as high level of social support, whereas a score of 49–68 and 12–48 were considered as moderate and low level of social support, respectively. The reliability of the tool was checked using Cronbach’s alpha reliability test with a score of 0.82 (95% CI 0.801–0.837). Pre-test was conducted on 5% of sample size in Dilla University to ensure the reliability of the tool with Cronbach’s α = 0.79. The collected data were reviewed and checked for completeness by group members on each day.
EARLIER¶13-17
Institution based cross sectional study was used to determine the prevalence of mental distress and associated factors among University of Gondar undergraduate students from April 9–11/ 2014. The study was conducted in University of Gondar, which is located 748 KM away from Addis Ababa, the capital city of Ethiopia, to the Northwest direction. The study subjects for this study were regular undergraduate students in the University of Gondar. There are about 15,723 regular undergraduate students enrolled in 2013/2014 academic year in the University. Sampling technique Sample size was determined by single population proportion formula using EPI INFO stat calc program with the assumption of population size 15,723, 95% level of confidence, 4% of marginal error, and taking prevalence of mental distress 21.6% [23]. Considering the design effect of two and 10% non response rate, the final sample size became 872. Stratified multistage sampling technique was used to select study participants. Data collection tools and procedures Data were collected using structured self administered questionnaire having five parts. The first part contains socio-demographic characteristics of students. The second part of the questionnaire is a Self Reporting Questionnaire. In this study self reporting questionnaire was used to estimate the prevalence of mental distress in students. This self reporting questionnaire (referred to as the SRQ-20) is a standardized questionnaire having 20 item questions, originally developed by World Health Organization (WHO) designed to indicate mental distress [25]. The tool is adopted from WHO and was validated in low and middle income countries including Ethiopia [26, 27]. In this study, students who were found to have 8 or more symptoms of the 20 items self reporting questionnaires (SRQ-20) in the last 4 weeks were considered as having mental distress. The cutoff point was used based on the reports from the validation study of SRQ-20 that gave the highest sensitivity and specificity which corresponds to a cut-off point of 8 [26]. Third part of the questionnaire is asking about behavioral factors, which includes history of substance use (like Alcohol use, Khat chewing, cigarette smoking, Shisha and sedative use) of students. The fourth part of the questionnaire is assessing about academic factors and the last part of the questionnaire is assessing about social support using 12-item Multidimensional Scale of Perceived Social Support Tool [28]. The items are divided in to factor groups relating to the source of social support namely family, friends and significant others. Each item is scored from one (Very strongly disagree) to 7 (very strongly agree). The total sum of all the 12 items possibly ranges from 12 to 84. A score 69–84 considered as high level of social support whereas a score of 49–68 and 12–48 were considered as moderate and low level of social support respectively. The reliability of the tool was checked using Cronbach’s alpha reliability test with a score of 0.82 (95% CI 0.801–0.837). One MSc in mental health supervisor and nine nurse professional facilitators were employed and trained for half a day about the purpose of the study, timely collection of data and overall data collection procedure. English version questionnaire was used to collect the data. Data quality control To assure the quality of the data the questionnaire was pre-tested 1 week before the actual data collection time on 50 undergraduate students at Debretabour University and appropriate modification was made. Training was given for the supervisor and the facilitators. During the
LATER¶13-17
Sample size determination and sampling procedures The participants of this study were undergraduate health science students enrolled in the year 2016/2017 and attending classes in regular program under College of Medicine and Health Science. Students were stratified based on the year of study. Since there was no study done among health science students, sample size was calculated by assuming the prevalence of mental distress 50%, 95% confidence interval and 5% margin of error. Considering the total population (N = 1170 health science students) correction formula was used and adding 10% for non-response the final sample size was 309. Simple random sampling technique was used to select the 309 study subjects to be included in the study. Data collection instrument Data were collected using self-administered technique. The English version of the first part of the tool contains socio-demographic characteristics of students. The second part of the questionnaire asks about behavioral factors, which includes history of substance use (alcohol use, chat chewing and cigarette smoking) of students and the third part of the questionnaire assesses about social support of students using 3-item Oslo Social Support Scale. The fourth part of the questionnaire is self-reporting questionnaire (referred to as SRQ-20). Self-reporting questionnaire was used to estimate the prevalence of mental distress among health science students. This self-reporting questionnaire is a standardized questionnaire having 20-item questions, originally developed by World Health Organization (WHO) designed to indicate mental distress. The tool is adopted from WHO and was validated in low- and middle-income countries including Ethiopia. Students who were found to have 8 or more symptoms of the 20-item self-reporting questionnaires (SRQ-20) in the last 4 weeks were considered as having mental distress. The cut-off point was used based on the reports from the validation study of SRQ-20 that gave the highest sensitivity and specificity which corresponds to a cut-off point of 7 [19]. Page 3 of 5 Bedaso et al. Ann Gen Psychiatry (2020) 19:6 Social support of the study participants was assessed using 12-item Multidimensional Scale of Perceived Social Support Tool [20]. The items are divided in to factor groups relating to the source of social support, namely family, friends and significant others. Each item is scored from one (very strongly disagree) to 7 (very strongly agree). The total sum of all the 12 items possibly ranges from 12 to 84. A score 69–84 considered as high level of social support, whereas a score of 49–68 and 12–48 were considered as moderate and low level of social support, respectively. The reliability of the tool was checked using Cronbach’s alpha reliability test with a score of 0.82 (95% CI 0.801–0.837). Pre-test was conducted on 5% of sample size in Dilla University to ensure the reliability of the tool with Cronbach’s α = 0.79. The collected data were reviewed and checked for completeness by group members on each day.
EARLIER¶13-17
Institution based cross sectional study was used to determine the prevalence of mental distress and associated factors among University of Gondar undergraduate students from April 9–11/ 2014. The study was conducted in University of Gondar, which is located 748 KM away from Addis Ababa, the capital city of Ethiopia, to the Northwest direction. The study subjects for this study were regular undergraduate students in the University of Gondar. There are about 15,723 regular undergraduate students enrolled in 2013/2014 academic year in the University. Sampling technique Sample size was determined by single population proportion formula using EPI INFO stat calc program with the assumption of population size 15,723, 95% level of confidence, 4% of marginal error, and taking prevalence of mental distress 21.6% [23]. Considering the design effect of two and 10% non response rate, the final sample size became 872. Stratified multistage sampling technique was used to select study participants. Data collection tools and procedures Data were collected using structured self administered questionnaire having five parts. The first part contains socio-demographic characteristics of students. The second part of the questionnaire is a Self Reporting Questionnaire. In this study self reporting questionnaire was used to estimate the prevalence of mental distress in students. This self reporting questionnaire (referred to as the SRQ-20) is a standardized questionnaire having 20 item questions, originally developed by World Health Organization (WHO) designed to indicate mental distress [25]. The tool is adopted from WHO and was validated in low and middle income countries including Ethiopia [26, 27]. In this study, students who were found to have 8 or more symptoms of the 20 items self reporting questionnaires (SRQ-20) in the last 4 weeks were considered as having mental distress. The cutoff point was used based on the reports from the validation study of SRQ-20 that gave the highest sensitivity and specificity which corresponds to a cut-off point of 8 [26]. Third part of the questionnaire is asking about behavioral factors, which includes history of substance use (like Alcohol use, Khat chewing, cigarette smoking, Shisha and sedative use) of students. The fourth part of the questionnaire is assessing about academic factors and the last part of the questionnaire is assessing about social support using 12-item Multidimensional Scale of Perceived Social Support Tool [28]. The items are divided in to factor groups relating to the source of social support namely family, friends and significant others. Each item is scored from one (Very strongly disagree) to 7 (very strongly agree). The total sum of all the 12 items possibly ranges from 12 to 84. A score 69–84 considered as high level of social support whereas a score of 49–68 and 12–48 were considered as moderate and low level of social support respectively. The reliability of the tool was checked using Cronbach’s alpha reliability test with a score of 0.82 (95% CI 0.801–0.837). One MSc in mental health supervisor and nine nurse professional facilitators were employed and trained for half a day about the purpose of the study, timely collection of data and overall data collection procedure. English version questionnaire was used to collect the data. Data quality control To assure the quality of the data the questionnaire was pre-tested 1 week before the actual data collection time on 50 undergraduate students at Debretabour University and appropriate modification was made. Training was given for the supervisor and the facilitators. During the
LATER¶13-17
Sample size determination and sampling procedures The participants of this study were undergraduate health science students enrolled in the year 2016/2017 and attending classes in regular program under College of Medicine and Health Science. Students were stratified based on the year of study. Since there was no study done among health science students, sample size was calculated by assuming the prevalence of mental distress 50%, 95% confidence interval and 5% margin of error. Considering the total population (N = 1170 health science students) correction formula was used and adding 10% for non-response the final sample size was 309. Simple random sampling technique was used to select the 309 study subjects to be included in the study. Data collection instrument Data were collected using self-administered technique. The English version of the first part of the tool contains socio-demographic characteristics of students. The second part of the questionnaire asks about behavioral factors, which includes history of substance use (alcohol use, chat chewing and cigarette smoking) of students and the third part of the questionnaire assesses about social support of students using 3-item Oslo Social Support Scale. The fourth part of the questionnaire is self-reporting questionnaire (referred to as SRQ-20). Self-reporting questionnaire was used to estimate the prevalence of mental distress among health science students. This self-reporting questionnaire is a standardized questionnaire having 20-item questions, originally developed by World Health Organization (WHO) designed to indicate mental distress. The tool is adopted from WHO and was validated in low- and middle-income countries including Ethiopia. Students who were found to have 8 or more symptoms of the 20-item self-reporting questionnaires (SRQ-20) in the last 4 weeks were considered as having mental distress. The cut-off point was used based on the reports from the validation study of SRQ-20 that gave the highest sensitivity and specificity which corresponds to a cut-off point of 7 [19]. Page 3 of 5 Bedaso et al. Ann Gen Psychiatry (2020) 19:6 Social support of the study participants was assessed using 12-item Multidimensional Scale of Perceived Social Support Tool [20]. The items are divided in to factor groups relating to the source of social support, namely family, friends and significant others. Each item is scored from one (very strongly disagree) to 7 (very strongly agree). The total sum of all the 12 items possibly ranges from 12 to 84. A score 69–84 considered as high level of social support, whereas a score of 49–68 and 12–48 were considered as moderate and low level of social support, respectively. The reliability of the tool was checked using Cronbach’s alpha reliability test with a score of 0.82 (95% CI 0.801–0.837). Pre-test was conducted on 5% of sample size in Dilla University to ensure the reliability of the tool with Cronbach’s α = 0.79. The collected data were reviewed and checked for completeness by group members on each day.
EARLIER¶13-17
Institution based cross sectional study was used to determine the prevalence of mental distress and associated factors among University of Gondar undergraduate students from April 9–11/ 2014. The study was conducted in University of Gondar, which is located 748 KM away from Addis Ababa, the capital city of Ethiopia, to the Northwest direction. The study subjects for this study were regular undergraduate students in the University of Gondar. There are about 15,723 regular undergraduate students enrolled in 2013/2014 academic year in the University. Sampling technique Sample size was determined by single population proportion formula using EPI INFO stat calc program with the assumption of population size 15,723, 95% level of confidence, 4% of marginal error, and taking prevalence of mental distress 21.6% [23]. Considering the design effect of two and 10% non response rate, the final sample size became 872. Stratified multistage sampling technique was used to select study participants. Data collection tools and procedures Data were collected using structured self administered questionnaire having five parts. The first part contains socio-demographic characteristics of students. The second part of the questionnaire is a Self Reporting Questionnaire. In this study self reporting questionnaire was used to estimate the prevalence of mental distress in students. This self reporting questionnaire (referred to as the SRQ-20) is a standardized questionnaire having 20 item questions, originally developed by World Health Organization (WHO) designed to indicate mental distress [25]. The tool is adopted from WHO and was validated in low and middle income countries including Ethiopia [26, 27]. In this study, students who were found to have 8 or more symptoms of the 20 items self reporting questionnaires (SRQ-20) in the last 4 weeks were considered as having mental distress. The cutoff point was used based on the reports from the validation study of SRQ-20 that gave the highest sensitivity and specificity which corresponds to a cut-off point of 8 [26]. Third part of the questionnaire is asking about behavioral factors, which includes history of substance use (like Alcohol use, Khat chewing, cigarette smoking, Shisha and sedative use) of students. The fourth part of the questionnaire is assessing about academic factors and the last part of the questionnaire is assessing about social support using 12-item Multidimensional Scale of Perceived Social Support Tool [28]. The items are divided in to factor groups relating to the source of social support namely family, friends and significant others. Each item is scored from one (Very strongly disagree) to 7 (very strongly agree). The total sum of all the 12 items possibly ranges from 12 to 84. A score 69–84 considered as high level of social support whereas a score of 49–68 and 12–48 were considered as moderate and low level of social support respectively. The reliability of the tool was checked using Cronbach’s alpha reliability test with a score of 0.82 (95% CI 0.801–0.837). One MSc in mental health supervisor and nine nurse professional facilitators were employed and trained for half a day about the purpose of the study, timely collection of data and overall data collection procedure. English version questionnaire was used to collect the data. Data quality control To assure the quality of the data the questionnaire was pre-tested 1 week before the actual data collection time on 50 undergraduate students at Debretabour University and appropriate modification was made. Training was given for the supervisor and the facilitators. During the
LATER¶14-18
Students were stratified based on the year of study. Since there was no study done among health science students, sample size was calculated by assuming the prevalence of mental distress 50%, 95% confidence interval and 5% margin of error. Considering the total population (N = 1170 health science students) correction formula was used and adding 10% for non-response the final sample size was 309. Simple random sampling technique was used to select the 309 study subjects to be included in the study. Data collection instrument Data were collected using self-administered technique. The English version of the first part of the tool contains socio-demographic characteristics of students. The second part of the questionnaire asks about behavioral factors, which includes history of substance use (alcohol use, chat chewing and cigarette smoking) of students and the third part of the questionnaire assesses about social support of students using 3-item Oslo Social Support Scale. The fourth part of the questionnaire is self-reporting questionnaire (referred to as SRQ-20). Self-reporting questionnaire was used to estimate the prevalence of mental distress among health science students. This self-reporting questionnaire is a standardized questionnaire having 20-item questions, originally developed by World Health Organization (WHO) designed to indicate mental distress. The tool is adopted from WHO and was validated in low- and middle-income countries including Ethiopia. Students who were found to have 8 or more symptoms of the 20-item self-reporting questionnaires (SRQ-20) in the last 4 weeks were considered as having mental distress. The cut-off point was used based on the reports from the validation study of SRQ-20 that gave the highest sensitivity and specificity which corresponds to a cut-off point of 7 [19]. Page 3 of 5 Bedaso et al. Ann Gen Psychiatry (2020) 19:6 Social support of the study participants was assessed using 12-item Multidimensional Scale of Perceived Social Support Tool [20]. The items are divided in to factor groups relating to the source of social support, namely family, friends and significant others. Each item is scored from one (very strongly disagree) to 7 (very strongly agree). The total sum of all the 12 items possibly ranges from 12 to 84. A score 69–84 considered as high level of social support, whereas a score of 49–68 and 12–48 were considered as moderate and low level of social support, respectively. The reliability of the tool was checked using Cronbach’s alpha reliability test with a score of 0.82 (95% CI 0.801–0.837). Pre-test was conducted on 5% of sample size in Dilla University to ensure the reliability of the tool with Cronbach’s α = 0.79. The collected data were reviewed and checked for completeness by group members on each day. Data processing and analysis After the collected data were reviewed and checked for completeness before data entry, the incomplete data were discarded (questionnaires were incomplete). Data were cleaned, edited, coded and entered into Epiinfo version 3.5.1 and exported in to SPSS version 20 software for analysis and we used both descriptive and analytical statistical procedures. Descriptive statistics like percentage mean and standard deviation was used for the presentation of demographic data and magnitude of mental distress. Tables were also used for data presentation. Each independent variable against the dependent variable was tested for having statistical significant association using binary logistic regression. Multiple logistic regression analysis was done for those variables with P-value less than or equal to 0.2 during binary logistic regression analysis.
EARLIER¶16-20
One MSc in mental health supervisor and nine nurse professional facilitators were employed and trained for half a day about the purpose of the study, timely collection of data and overall data collection procedure. English version questionnaire was used to collect the data. Data quality control To assure the quality of the data the questionnaire was pre-tested 1 week before the actual data collection time on 50 undergraduate students at Debretabour University and appropriate modification was made. Training was given for the supervisor and the facilitators. During the Mental Distress among University Students in Ethiopia PLOS ONE | DOI:10.1371/journal.pone.0119464 March 20, 2015 3 / 10 course of the data collection, facilitators were supervised at each site. The collected data were reviewed and checked for completeness before data entry and incomplete data were discarded. Data processing and analysis Data clean up and cross-checking were done before analysis. Data were checked, coded and entered to EPI INFO version 7 then it was exported to SPSS version 20 for analysis. Both descriptive and analytical statistical procedures were utilized. Descriptive statistics like percentage mean and standard deviation were used for the presentation of demographic data and prevalence of mental distress. Tables were also used for data presentation. Binary logistic regression was used to identify factors associated with mental distress among the students. Multiple logistic regression model was fitted to control the possible effect of confounders and finally the variables which had independent association with mental distress were identified on the basis of OR, with 95%CI and p-value less than 0.05. The variables were entered to the multivariate model using the Backward Stepwise regression method. Model fitness was checked using Hosmer and Lemeshow goodness of a fit test (P = 0.77). Ethics statement The study was approved by the Institute Review Board (IRB) of the University of Gondar. Written Informed consent was obtained from respondents who were selected to participate in the study.
LATER¶16-20
Page 3 of 5 Bedaso et al. Ann Gen Psychiatry (2020) 19:6 Social support of the study participants was assessed using 12-item Multidimensional Scale of Perceived Social Support Tool [20]. The items are divided in to factor groups relating to the source of social support, namely family, friends and significant others. Each item is scored from one (very strongly disagree) to 7 (very strongly agree). The total sum of all the 12 items possibly ranges from 12 to 84. A score 69–84 considered as high level of social support, whereas a score of 49–68 and 12–48 were considered as moderate and low level of social support, respectively. The reliability of the tool was checked using Cronbach’s alpha reliability test with a score of 0.82 (95% CI 0.801–0.837). Pre-test was conducted on 5% of sample size in Dilla University to ensure the reliability of the tool with Cronbach’s α = 0.79. The collected data were reviewed and checked for completeness by group members on each day. Data processing and analysis After the collected data were reviewed and checked for completeness before data entry, the incomplete data were discarded (questionnaires were incomplete). Data were cleaned, edited, coded and entered into Epiinfo version 3.5.1 and exported in to SPSS version 20 software for analysis and we used both descriptive and analytical statistical procedures. Descriptive statistics like percentage mean and standard deviation was used for the presentation of demographic data and magnitude of mental distress. Tables were also used for data presentation. Each independent variable against the dependent variable was tested for having statistical significant association using binary logistic regression. Multiple logistic regression analysis was done for those variables with P-value less than or equal to 0.2 during binary logistic regression analysis. Ethical consideration Ethical clearance was obtained from the institutional review board (IRB) of Hawassa University. Ethical review board approved the methods of data collection and forms of consent. Each questionnaire was prepared with the written consent attached with it to offer the consent for the respondents verbally and participants willing to be interviewed had signed and finally the obtained consents were kept with the questionnaire. The respondents were informed that their inclusion in the study is voluntary and they are free to withdraw from the study if they are not willing to participate. Anonymity was maintained to ensure confidentiality. Result Socio-demographic characteristics of study participants A total of 309 other health science students were assessed, of which 193 (62.5%) were males and 115 (37.2%) of them were second year students. Respondents’ age ranged from 18 to 35 years, with a mean (± SD) of 22.2 (± 2.48) years. The higher percentages of the respondents were from urban background 208 (67.3%). Majority of the participants 130 (42.1%) were followers of Orthodox religion (Table 1).
EARLIER¶17-21
Data quality control To assure the quality of the data the questionnaire was pre-tested 1 week before the actual data collection time on 50 undergraduate students at Debretabour University and appropriate modification was made. Training was given for the supervisor and the facilitators. During the Mental Distress among University Students in Ethiopia PLOS ONE | DOI:10.1371/journal.pone.0119464 March 20, 2015 3 / 10 course of the data collection, facilitators were supervised at each site. The collected data were reviewed and checked for completeness before data entry and incomplete data were discarded. Data processing and analysis Data clean up and cross-checking were done before analysis. Data were checked, coded and entered to EPI INFO version 7 then it was exported to SPSS version 20 for analysis. Both descriptive and analytical statistical procedures were utilized. Descriptive statistics like percentage mean and standard deviation were used for the presentation of demographic data and prevalence of mental distress. Tables were also used for data presentation. Binary logistic regression was used to identify factors associated with mental distress among the students. Multiple logistic regression model was fitted to control the possible effect of confounders and finally the variables which had independent association with mental distress were identified on the basis of OR, with 95%CI and p-value less than 0.05. The variables were entered to the multivariate model using the Backward Stepwise regression method. Model fitness was checked using Hosmer and Lemeshow goodness of a fit test (P = 0.77). Ethics statement The study was approved by the Institute Review Board (IRB) of the University of Gondar. Written Informed consent was obtained from respondents who were selected to participate in the study. Results Socio demographic characteristics of the respondents Out of 872 study participants, 836 students participated in the study giving response rate of 95.87%. Most 538 (64.4%) respondents were male. The mean (standard deviation) age of the respondents was 20 (±1.54) years. The higher percentages of the respondents were from urban background 544 (65.1%). About three fourth of the respondents 618 (73.9%) were followers of Orthodox Christianity and majority of the respondents 714 (85.5%) take part in religious practice. About 270 (32.3%) of the respondents were from faculty of technology and more than one third of the respondents 286 (34.2%) were first year in academic enrollment. Out of the total respondents 675(80.7%) joined the department by their choice and most 706 (84.4%) were currently interested in their felid of study. Five hundred twenty one (62.3%) of the respondents had pocket money ranging from minimum of 50 to maximum of 2000 Ethiopian birr per month and 97(11.6%) of the respondents had family history of mental illness (Table 1).
LATER¶16-20
Page 3 of 5 Bedaso et al. Ann Gen Psychiatry (2020) 19:6 Social support of the study participants was assessed using 12-item Multidimensional Scale of Perceived Social Support Tool [20]. The items are divided in to factor groups relating to the source of social support, namely family, friends and significant others. Each item is scored from one (very strongly disagree) to 7 (very strongly agree). The total sum of all the 12 items possibly ranges from 12 to 84. A score 69–84 considered as high level of social support, whereas a score of 49–68 and 12–48 were considered as moderate and low level of social support, respectively. The reliability of the tool was checked using Cronbach’s alpha reliability test with a score of 0.82 (95% CI 0.801–0.837). Pre-test was conducted on 5% of sample size in Dilla University to ensure the reliability of the tool with Cronbach’s α = 0.79. The collected data were reviewed and checked for completeness by group members on each day. Data processing and analysis After the collected data were reviewed and checked for completeness before data entry, the incomplete data were discarded (questionnaires were incomplete). Data were cleaned, edited, coded and entered into Epiinfo version 3.5.1 and exported in to SPSS version 20 software for analysis and we used both descriptive and analytical statistical procedures. Descriptive statistics like percentage mean and standard deviation was used for the presentation of demographic data and magnitude of mental distress. Tables were also used for data presentation. Each independent variable against the dependent variable was tested for having statistical significant association using binary logistic regression. Multiple logistic regression analysis was done for those variables with P-value less than or equal to 0.2 during binary logistic regression analysis. Ethical consideration Ethical clearance was obtained from the institutional review board (IRB) of Hawassa University. Ethical review board approved the methods of data collection and forms of consent. Each questionnaire was prepared with the written consent attached with it to offer the consent for the respondents verbally and participants willing to be interviewed had signed and finally the obtained consents were kept with the questionnaire. The respondents were informed that their inclusion in the study is voluntary and they are free to withdraw from the study if they are not willing to participate. Anonymity was maintained to ensure confidentiality. Result Socio-demographic characteristics of study participants A total of 309 other health science students were assessed, of which 193 (62.5%) were males and 115 (37.2%) of them were second year students. Respondents’ age ranged from 18 to 35 years, with a mean (± SD) of 22.2 (± 2.48) years. The higher percentages of the respondents were from urban background 208 (67.3%). Majority of the participants 130 (42.1%) were followers of Orthodox religion (Table 1).
EARLIER¶19-23
Data processing and analysis Data clean up and cross-checking were done before analysis. Data were checked, coded and entered to EPI INFO version 7 then it was exported to SPSS version 20 for analysis. Both descriptive and analytical statistical procedures were utilized. Descriptive statistics like percentage mean and standard deviation were used for the presentation of demographic data and prevalence of mental distress. Tables were also used for data presentation. Binary logistic regression was used to identify factors associated with mental distress among the students. Multiple logistic regression model was fitted to control the possible effect of confounders and finally the variables which had independent association with mental distress were identified on the basis of OR, with 95%CI and p-value less than 0.05. The variables were entered to the multivariate model using the Backward Stepwise regression method. Model fitness was checked using Hosmer and Lemeshow goodness of a fit test (P = 0.77). Ethics statement The study was approved by the Institute Review Board (IRB) of the University of Gondar. Written Informed consent was obtained from respondents who were selected to participate in the study. Results Socio demographic characteristics of the respondents Out of 872 study participants, 836 students participated in the study giving response rate of 95.87%. Most 538 (64.4%) respondents were male. The mean (standard deviation) age of the respondents was 20 (±1.54) years. The higher percentages of the respondents were from urban background 544 (65.1%). About three fourth of the respondents 618 (73.9%) were followers of Orthodox Christianity and majority of the respondents 714 (85.5%) take part in religious practice. About 270 (32.3%) of the respondents were from faculty of technology and more than one third of the respondents 286 (34.2%) were first year in academic enrollment. Out of the total respondents 675(80.7%) joined the department by their choice and most 706 (84.4%) were currently interested in their felid of study. Five hundred twenty one (62.3%) of the respondents had pocket money ranging from minimum of 50 to maximum of 2000 Ethiopian birr per month and 97(11.6%) of the respondents had family history of mental illness (Table 1). Prevalence of mental distress Prevalence of mental distress among students was found to be 40.9% (95% CI 37.6, 44.1%). Relatively high (44.6%) prevalence of mental distress was found among female students as compared to males (38.8%). The distribution of SRQ-20 showed a mean score of 6.53 (±4.14) ranging from 0 to 20. Mental Distress among University Students in Ethiopia PLOS ONE | DOI:10.1371/journal.pone.0119464 March 20, 2015 4 / 10 vacation or break, and social support were significantly associated factors of mental distress among respondents (Table 2).
LATER¶18-22
Data processing and analysis After the collected data were reviewed and checked for completeness before data entry, the incomplete data were discarded (questionnaires were incomplete). Data were cleaned, edited, coded and entered into Epiinfo version 3.5.1 and exported in to SPSS version 20 software for analysis and we used both descriptive and analytical statistical procedures. Descriptive statistics like percentage mean and standard deviation was used for the presentation of demographic data and magnitude of mental distress. Tables were also used for data presentation. Each independent variable against the dependent variable was tested for having statistical significant association using binary logistic regression. Multiple logistic regression analysis was done for those variables with P-value less than or equal to 0.2 during binary logistic regression analysis. Ethical consideration Ethical clearance was obtained from the institutional review board (IRB) of Hawassa University. Ethical review board approved the methods of data collection and forms of consent. Each questionnaire was prepared with the written consent attached with it to offer the consent for the respondents verbally and participants willing to be interviewed had signed and finally the obtained consents were kept with the questionnaire. The respondents were informed that their inclusion in the study is voluntary and they are free to withdraw from the study if they are not willing to participate. Anonymity was maintained to ensure confidentiality. Result Socio-demographic characteristics of study participants A total of 309 other health science students were assessed, of which 193 (62.5%) were males and 115 (37.2%) of them were second year students. Respondents’ age ranged from 18 to 35 years, with a mean (± SD) of 22.2 (± 2.48) years. The higher percentages of the respondents were from urban background 208 (67.3%). Majority of the participants 130 (42.1%) were followers of Orthodox religion (Table 1). Characteristics Category Frequency Percent (%) Sex Male 193 29 Female 116 71 Age 18–20 103 36.8 21–23 115 38.9 24–26 78 16.2 > 27 13 8.1 Residence Urban 208 67.3 Rural 101 32.7 Religion Protestant 92 29.8 Orthodox 130 42.1 Muslim 59 19.1 Catholic 23 7.4 Other 5 1.6 Year of study 1st year 56 18.1 2nd year 115 37.2
EARLIER¶22-26
Prevalence of mental distress Prevalence of mental distress among students was found to be 40.9% (95% CI 37.6, 44.1%). Relatively high (44.6%) prevalence of mental distress was found among female students as compared to males (38.8%). The distribution of SRQ-20 showed a mean score of 6.53 (±4.14) ranging from 0 to 20. Mental Distress among University Students in Ethiopia PLOS ONE | DOI:10.1371/journal.pone.0119464 March 20, 2015 4 / 10 vacation or break, and social support were significantly associated factors of mental distress among respondents (Table 2). Discussion The prevalence of mental distress among students was found to be 40.9% in the current study. This finding is lower as compared to studies in USA (57%) [19] Australia (53%) [20] and Brazil (44.7%) [29]. The difference could be attributed to the socio, cultural and environmental factors. It was also lower when compared with study in Hawassa University, Ethiopia 49.1% [30]. This might be due to time variation; the improvement of infrastructure and a service option provided by school authorities from time to time. However, the prevalence in the current study was higher when compared with studies in France (25.7%) [31], Norway (22.9%) [32], Iceland (22.5%) [33] and Australia (19.2%) [10]. Table 1. Socio demographic characteristics of the respondents, University of Gondar, Northwest Ethiopia, April 2014 (n = 836). Variables Frequency Percent (%)
LATER¶25-29
than half of the respondents 231 (74.7%) had strong social support and the rest 78 (25.2%) had poor social support. Magnitude of mental distress Magnitude of mental distress using SRQ-20, with a cutoff point of 7 and above was 34% (95% CI 32.3, 35.7) (105 students out of 309 students). The distribution of SRQ-20 showed a mean value of 5.27 (± 4.31) ranging from 0 to 20. Factors associated with mental distress During multiple logistic regression analysis, poor social support (AOR = 5.28; 95% CI (2.176–12.84), and current substances use (AOR = 12.84, 95% CI (7.13–23.13), were significant predictors of mental distress among students (Table 2). Discussion The magnitude of mental distress among students in this study was found to be 34%. The finding in the current study is lower compared to studies in USA (57%) [5], Australia (53%) [6], Brazil (44.7%) [21], Gondar (40.9) [16]. The variation might be due to the socio-cultural, environmental factors. Also time variation, the improvement of infrastructure and a service option provided by school authorities from time to time could be the reason for the variation. However, the magnitude in the current study was higher when compared with studies in France (25.7%) [13], Norway (22.9%) [22] and Iceland (22.5%) [23] and Australia (19.2%). This could be due to the different instrument used in other studies or it could be a real difference. However, nearly similar prevalence was reported in Ethiopia revealed that 32.6% of medical students experienced mental distress [15]. Substance use was found to be a strong predictor of mental distress (AOR = 12.84, 95% CI (7.13–23.13), the odds of students who ever use substance were 12.8 times more likely to have mental distress as compared to the odds of students who never use substance. This finding is in line with other studies in Ethiopia [9] and Sao Paulo, Southeastern Brazil [24]. This might be because, substance use leads to inefficiency in life function, impaired relationship and sleep deprivation. Furthermore, substance use is associated with increased absenteeism from class and poor academic performance which can further lead to mental distress in students.
EARLIER¶23-27
Mental Distress among University Students in Ethiopia PLOS ONE | DOI:10.1371/journal.pone.0119464 March 20, 2015 4 / 10 vacation or break, and social support were significantly associated factors of mental distress among respondents (Table 2). Discussion The prevalence of mental distress among students was found to be 40.9% in the current study. This finding is lower as compared to studies in USA (57%) [19] Australia (53%) [20] and Brazil (44.7%) [29]. The difference could be attributed to the socio, cultural and environmental factors. It was also lower when compared with study in Hawassa University, Ethiopia 49.1% [30]. This might be due to time variation; the improvement of infrastructure and a service option provided by school authorities from time to time. However, the prevalence in the current study was higher when compared with studies in France (25.7%) [31], Norway (22.9%) [32], Iceland (22.5%) [33] and Australia (19.2%) [10]. Table 1. Socio demographic characteristics of the respondents, University of Gondar, Northwest Ethiopia, April 2014 (n = 836). Variables Frequency Percent (%) Age in years 19 160 19.1 20–24 658 78.7 25+ 18 2.2 Sex Male 538 64.4 Female 298 35.6 Residence Urban 544 65.1 Rural 292 34.9 Religion Orthodox Christian 618 73.9
LATER¶26-30
Factors associated with mental distress During multiple logistic regression analysis, poor social support (AOR = 5.28; 95% CI (2.176–12.84), and current substances use (AOR = 12.84, 95% CI (7.13–23.13), were significant predictors of mental distress among students (Table 2). Discussion The magnitude of mental distress among students in this study was found to be 34%. The finding in the current study is lower compared to studies in USA (57%) [5], Australia (53%) [6], Brazil (44.7%) [21], Gondar (40.9) [16]. The variation might be due to the socio-cultural, environmental factors. Also time variation, the improvement of infrastructure and a service option provided by school authorities from time to time could be the reason for the variation. However, the magnitude in the current study was higher when compared with studies in France (25.7%) [13], Norway (22.9%) [22] and Iceland (22.5%) [23] and Australia (19.2%). This could be due to the different instrument used in other studies or it could be a real difference. However, nearly similar prevalence was reported in Ethiopia revealed that 32.6% of medical students experienced mental distress [15]. Substance use was found to be a strong predictor of mental distress (AOR = 12.84, 95% CI (7.13–23.13), the odds of students who ever use substance were 12.8 times more likely to have mental distress as compared to the odds of students who never use substance. This finding is in line with other studies in Ethiopia [9] and Sao Paulo, Southeastern Brazil [24]. This might be because, substance use leads to inefficiency in life function, impaired relationship and sleep deprivation. Furthermore, substance use is associated with increased absenteeism from class and poor academic performance which can further lead to mental distress in students. In this study, social support was also found to be another determinant factor for mental distress in students (AOR = 5.28; 95% CI (2.176–12.835). Having low level of social support from significant others were positively associated with mental distress. In this study, the odds of students with low social support were 5.3 times
EARLIER¶30-34
Department choice Preferred 675 80.7 Not preferred 161 19.3 Year of enrollment 1st 286 34.2 2nd 250 29.9 3rd 256 30.6 4th and above 44 5.3 Have pocket money Yes 521 62.3 No 315 37.7 Family history of mental illness Yes 97 11.6 No 739 88.4 Other* stands for: 2 Jubbah witness, 1 waqefata and 2 no religion doi:10.1371/journal.pone.0119464.t001 Mental Distress among University Students in Ethiopia PLOS ONE | DOI:10.1371/journal.pone.0119464 March 20, 2015 5 / 10 This could be due to the different instrument used in other studies or it could be a real difference. However, nearly similar prevalence was reported in Malaysia’s study (41.9%) [21]. The prevalence of mental distress in this study was higher among female students as compared to their male counterparts. Similarly; the likelihood of mental distress was higher among Table 2. Bivariate and multivariate logistic regression analysis of factors associated with mental distress among students, University of Gondar, Northwest Ethiopia, April 2014 (n = 836).
LATER¶26-30
Factors associated with mental distress During multiple logistic regression analysis, poor social support (AOR = 5.28; 95% CI (2.176–12.84), and current substances use (AOR = 12.84, 95% CI (7.13–23.13), were significant predictors of mental distress among students (Table 2). Discussion The magnitude of mental distress among students in this study was found to be 34%. The finding in the current study is lower compared to studies in USA (57%) [5], Australia (53%) [6], Brazil (44.7%) [21], Gondar (40.9) [16]. The variation might be due to the socio-cultural, environmental factors. Also time variation, the improvement of infrastructure and a service option provided by school authorities from time to time could be the reason for the variation. However, the magnitude in the current study was higher when compared with studies in France (25.7%) [13], Norway (22.9%) [22] and Iceland (22.5%) [23] and Australia (19.2%). This could be due to the different instrument used in other studies or it could be a real difference. However, nearly similar prevalence was reported in Ethiopia revealed that 32.6% of medical students experienced mental distress [15]. Substance use was found to be a strong predictor of mental distress (AOR = 12.84, 95% CI (7.13–23.13), the odds of students who ever use substance were 12.8 times more likely to have mental distress as compared to the odds of students who never use substance. This finding is in line with other studies in Ethiopia [9] and Sao Paulo, Southeastern Brazil [24]. This might be because, substance use leads to inefficiency in life function, impaired relationship and sleep deprivation. Furthermore, substance use is associated with increased absenteeism from class and poor academic performance which can further lead to mental distress in students. In this study, social support was also found to be another determinant factor for mental distress in students (AOR = 5.28; 95% CI (2.176–12.835). Having low level of social support from significant others were positively associated with mental distress. In this study, the odds of students with low social support were 5.3 times
EARLIER¶8-12
Conclusion The overall prevalence of mental distress among students was found to be high. Therefore, it is recommended that mental distress needs due attention and remedial action from policy makers, college officials, non-governmental organizations, parents, students and other concerned bodies. Currently mental distress is an important public health problem and it is a leading cause of disability worldwide, accounting for one third of disability adjusted life years (DALYs) [4, 5]. In Africa mental illness is an important public health challenge that is under recognized as a public burden. Studies conducted in South Africa revealed that the prevalence of common mental disorders is 27% [6] In Ethiopia mental disorders account for 11% of total burden of diseases [7]. Although mental health problems affect society as a whole and no group is immune to mental disorders; students have significantly high level of psychological distress than their community peers [8–10]. This is due to the fact that university students face multiple stressors such as academic load, constant pressure to succeed, competition with peers, financial burden, peer, teacher or parental pressure as well as concerns about the future [11, 12]. This can have negative effects on student’s ability to study and academic outcomes [10, 13, 14]. Such situation of stress may later lead to mental health problems but students seldom seek help for their problems [15–17]. A study among undergraduate students in Canada showed that 30% of students had psychological distresses which was significantly higher than that of adults in the general population of Canada [18]. Furthermore, more than half of students in USA [19] 53% of students in Australia [20] 41.9% of students in Malaysia [21] 10.8% of students in Kenya [22] and 21.6% of students in Ethiopia [23] experienced mental distress. Another study in Ethiopia revealed that 32.6% of medical students experienced mental distress[24]. However, since this study was done only on medical students and with small sample size (273), it may not represent all University students in Ethiopia. Furthermore, this study was done in 2001 which may not reflect the current status of mental distress among University students in Ethiopia. Even if mental problem was included in the national health policy of Ethiopia, interventions against the problem are very limited and lack of information about the problem is a contributory factor for poor mental health services. Hence, Epidemiological data which shows the burden of mental health problems in students over time is mandatory. Therefore, this study was aimed to determine the prevalence of mental distress and identify the associated factors for mental distress among university students. Results from this study will help in developing evidence based mental health promotion and disease prevention programs. Mental Distress among University Students in Ethiopia PLOS ONE | DOI:10.1371/journal.pone.0119464 March 20, 2015 2 / 10 Methods Study design and period
LATER¶26-30
Factors associated with mental distress During multiple logistic regression analysis, poor social support (AOR = 5.28; 95% CI (2.176–12.84), and current substances use (AOR = 12.84, 95% CI (7.13–23.13), were significant predictors of mental distress among students (Table 2). Discussion The magnitude of mental distress among students in this study was found to be 34%. The finding in the current study is lower compared to studies in USA (57%) [5], Australia (53%) [6], Brazil (44.7%) [21], Gondar (40.9) [16]. The variation might be due to the socio-cultural, environmental factors. Also time variation, the improvement of infrastructure and a service option provided by school authorities from time to time could be the reason for the variation. However, the magnitude in the current study was higher when compared with studies in France (25.7%) [13], Norway (22.9%) [22] and Iceland (22.5%) [23] and Australia (19.2%). This could be due to the different instrument used in other studies or it could be a real difference. However, nearly similar prevalence was reported in Ethiopia revealed that 32.6% of medical students experienced mental distress [15]. Substance use was found to be a strong predictor of mental distress (AOR = 12.84, 95% CI (7.13–23.13), the odds of students who ever use substance were 12.8 times more likely to have mental distress as compared to the odds of students who never use substance. This finding is in line with other studies in Ethiopia [9] and Sao Paulo, Southeastern Brazil [24]. This might be because, substance use leads to inefficiency in life function, impaired relationship and sleep deprivation. Furthermore, substance use is associated with increased absenteeism from class and poor academic performance which can further lead to mental distress in students. In this study, social support was also found to be another determinant factor for mental distress in students (AOR = 5.28; 95% CI (2.176–12.835). Having low level of social support from significant others were positively associated with mental distress. In this study, the odds of students with low social support were 5.3 times
EARLIER¶48-52
The study also found that mental distress was significantly associated with religious practice. Students who were involved in religious program, irrespective of their religion, were less likely to be mentally distressed. This finding is supported by the other studies done in Ethiopia [23, 37]. This could be due to the fact that religious teaching helps in stress management. Furthermore, it facilitates the development of adaptive behaviors [41, 42] On the other hand, students who ever had conflict with their room mates were mentally distressed (AOR = 1.93; 95% CI 1.41–2.65). This finding is consistent with a study in Adama University [23]. This might be due to the fact that, campus life where students live together in a group; conflicts may break social ties and might result in a stressful situation. In addition, ever use of khat was found to be a significant factor of mental distress. Students who ever use khat were 1.7 times more likely to have mental distress as compared to students who never use khat. This finding is in line with other studies in Ethiopia [23, 43]and Sao Paulo, Southeastern Brazil [44]. This may be due to the fact that substance use leads to inefficiency in life function, impaired relationship and sleep difficulty. Furthermore, substance use is associated with increased absenteeism from class and poor cadmic performance which can further lead to mental distress in students [45]. However, since the study is a cross-sectional, it is difficult to ascertain the direction of causality. Academic factors were found to be other factors associated with mental distress. Students whose grade was lower than anticipated were two times more likely to have mental distress Mental Distress among University Students in Ethiopia PLOS ONE | DOI:10.1371/journal.pone.0119464 March 20, 2015 7 / 10 than their counter parts (AOR = 2.07; 95% CI 1.51–2.83). However, the present study did not show any association between mental distress and academic performance.
LATER¶27-31
Discussion The magnitude of mental distress among students in this study was found to be 34%. The finding in the current study is lower compared to studies in USA (57%) [5], Australia (53%) [6], Brazil (44.7%) [21], Gondar (40.9) [16]. The variation might be due to the socio-cultural, environmental factors. Also time variation, the improvement of infrastructure and a service option provided by school authorities from time to time could be the reason for the variation. However, the magnitude in the current study was higher when compared with studies in France (25.7%) [13], Norway (22.9%) [22] and Iceland (22.5%) [23] and Australia (19.2%). This could be due to the different instrument used in other studies or it could be a real difference. However, nearly similar prevalence was reported in Ethiopia revealed that 32.6% of medical students experienced mental distress [15]. Substance use was found to be a strong predictor of mental distress (AOR = 12.84, 95% CI (7.13–23.13), the odds of students who ever use substance were 12.8 times more likely to have mental distress as compared to the odds of students who never use substance. This finding is in line with other studies in Ethiopia [9] and Sao Paulo, Southeastern Brazil [24]. This might be because, substance use leads to inefficiency in life function, impaired relationship and sleep deprivation. Furthermore, substance use is associated with increased absenteeism from class and poor academic performance which can further lead to mental distress in students. In this study, social support was also found to be another determinant factor for mental distress in students (AOR = 5.28; 95% CI (2.176–12.835). Having low level of social support from significant others were positively associated with mental distress. In this study, the odds of students with low social support were 5.3 times more likely to have mental distress as compared to those students with good social support. This finding is also in line with study conducted in Norwegian [22]. This could be due to its effect on hypothalamic pituitary adrenocortical (HPA) system in reducing genetic and environmental vulnerabilities. Furthermore, it is also important for maintaining good physical and mental health [25].
EARLIER¶51-55
Academic factors were found to be other factors associated with mental distress. Students whose grade was lower than anticipated were two times more likely to have mental distress Mental Distress among University Students in Ethiopia PLOS ONE | DOI:10.1371/journal.pone.0119464 March 20, 2015 7 / 10 than their counter parts (AOR = 2.07; 95% CI 1.51–2.83). However, the present study did not show any association between mental distress and academic performance. In this study, social support was also found to be another determinant factor for mental distress in students. Having high level of social support from significant others were negatively associated with mental distress. In this study, students with low social support were more than two times more likely to have mental distress as compared to those students with high social support AOR = 2.58; 95% CI 1.58–4.22). This finding is also supported by other studies [32, 44, 46]. This could be due to its effect on hypothalamic pitutary adrenocortical (HPA) system in reducing genetic and environmental vulnerabilities. Furthermore, It is also important for maintaining good physical and mental health [47]. Limitation of the study This study has some important limitations that should be kept in mind when interpreting the results. First, the cross-sectional nature of the study design does not confirm definitive cause and effect relationship. Furthermore, the study may prone to reporting bias since the data was collected based on self-reported information. Finally; reports for some of the questions were past history or encounters which are prone to recall bias. Conclusion and Recommendation The prevalence of mental distress among students was found to be high. The prevalence of mental distress was relatively high among female students. Being female sex, lack of interest towards the field of study, not having close friends, never attend religious programs, conflict with friends, absence of pocket money, having financial distress, family history of mental illness, ever use of Khat, lower grade than anticipated, lack of vacation or break, and low to moderate social support were factors associated with mental distress. Therefore, it is recommended that mental distress needs due attention and remedial action from policy makers, college officials, non-governmental organizations, parents, students and other concerned bodies. Programs aimed at preventing mental distress need to address these identified factors of mental distress against students.
LATER¶27-31
Discussion The magnitude of mental distress among students in this study was found to be 34%. The finding in the current study is lower compared to studies in USA (57%) [5], Australia (53%) [6], Brazil (44.7%) [21], Gondar (40.9) [16]. The variation might be due to the socio-cultural, environmental factors. Also time variation, the improvement of infrastructure and a service option provided by school authorities from time to time could be the reason for the variation. However, the magnitude in the current study was higher when compared with studies in France (25.7%) [13], Norway (22.9%) [22] and Iceland (22.5%) [23] and Australia (19.2%). This could be due to the different instrument used in other studies or it could be a real difference. However, nearly similar prevalence was reported in Ethiopia revealed that 32.6% of medical students experienced mental distress [15]. Substance use was found to be a strong predictor of mental distress (AOR = 12.84, 95% CI (7.13–23.13), the odds of students who ever use substance were 12.8 times more likely to have mental distress as compared to the odds of students who never use substance. This finding is in line with other studies in Ethiopia [9] and Sao Paulo, Southeastern Brazil [24]. This might be because, substance use leads to inefficiency in life function, impaired relationship and sleep deprivation. Furthermore, substance use is associated with increased absenteeism from class and poor academic performance which can further lead to mental distress in students. In this study, social support was also found to be another determinant factor for mental distress in students (AOR = 5.28; 95% CI (2.176–12.835). Having low level of social support from significant others were positively associated with mental distress. In this study, the odds of students with low social support were 5.3 times more likely to have mental distress as compared to those students with good social support. This finding is also in line with study conducted in Norwegian [22]. This could be due to its effect on hypothalamic pituitary adrenocortical (HPA) system in reducing genetic and environmental vulnerabilities. Furthermore, it is also important for maintaining good physical and mental health [25].
EARLIER¶48-52
The study also found that mental distress was significantly associated with religious practice. Students who were involved in religious program, irrespective of their religion, were less likely to be mentally distressed. This finding is supported by the other studies done in Ethiopia [23, 37]. This could be due to the fact that religious teaching helps in stress management. Furthermore, it facilitates the development of adaptive behaviors [41, 42] On the other hand, students who ever had conflict with their room mates were mentally distressed (AOR = 1.93; 95% CI 1.41–2.65). This finding is consistent with a study in Adama University [23]. This might be due to the fact that, campus life where students live together in a group; conflicts may break social ties and might result in a stressful situation. In addition, ever use of khat was found to be a significant factor of mental distress. Students who ever use khat were 1.7 times more likely to have mental distress as compared to students who never use khat. This finding is in line with other studies in Ethiopia [23, 43]and Sao Paulo, Southeastern Brazil [44]. This may be due to the fact that substance use leads to inefficiency in life function, impaired relationship and sleep difficulty. Furthermore, substance use is associated with increased absenteeism from class and poor cadmic performance which can further lead to mental distress in students [45]. However, since the study is a cross-sectional, it is difficult to ascertain the direction of causality. Academic factors were found to be other factors associated with mental distress. Students whose grade was lower than anticipated were two times more likely to have mental distress Mental Distress among University Students in Ethiopia PLOS ONE | DOI:10.1371/journal.pone.0119464 March 20, 2015 7 / 10 than their counter parts (AOR = 2.07; 95% CI 1.51–2.83). However, the present study did not show any association between mental distress and academic performance.
LATER¶27-31
Discussion The magnitude of mental distress among students in this study was found to be 34%. The finding in the current study is lower compared to studies in USA (57%) [5], Australia (53%) [6], Brazil (44.7%) [21], Gondar (40.9) [16]. The variation might be due to the socio-cultural, environmental factors. Also time variation, the improvement of infrastructure and a service option provided by school authorities from time to time could be the reason for the variation. However, the magnitude in the current study was higher when compared with studies in France (25.7%) [13], Norway (22.9%) [22] and Iceland (22.5%) [23] and Australia (19.2%). This could be due to the different instrument used in other studies or it could be a real difference. However, nearly similar prevalence was reported in Ethiopia revealed that 32.6% of medical students experienced mental distress [15]. Substance use was found to be a strong predictor of mental distress (AOR = 12.84, 95% CI (7.13–23.13), the odds of students who ever use substance were 12.8 times more likely to have mental distress as compared to the odds of students who never use substance. This finding is in line with other studies in Ethiopia [9] and Sao Paulo, Southeastern Brazil [24]. This might be because, substance use leads to inefficiency in life function, impaired relationship and sleep deprivation. Furthermore, substance use is associated with increased absenteeism from class and poor academic performance which can further lead to mental distress in students. In this study, social support was also found to be another determinant factor for mental distress in students (AOR = 5.28; 95% CI (2.176–12.835). Having low level of social support from significant others were positively associated with mental distress. In this study, the odds of students with low social support were 5.3 times more likely to have mental distress as compared to those students with good social support. This finding is also in line with study conducted in Norwegian [22]. This could be due to its effect on hypothalamic pituitary adrenocortical (HPA) system in reducing genetic and environmental vulnerabilities. Furthermore, it is also important for maintaining good physical and mental health [25].
EARLIER¶48-52
The study also found that mental distress was significantly associated with religious practice. Students who were involved in religious program, irrespective of their religion, were less likely to be mentally distressed. This finding is supported by the other studies done in Ethiopia [23, 37]. This could be due to the fact that religious teaching helps in stress management. Furthermore, it facilitates the development of adaptive behaviors [41, 42] On the other hand, students who ever had conflict with their room mates were mentally distressed (AOR = 1.93; 95% CI 1.41–2.65). This finding is consistent with a study in Adama University [23]. This might be due to the fact that, campus life where students live together in a group; conflicts may break social ties and might result in a stressful situation. In addition, ever use of khat was found to be a significant factor of mental distress. Students who ever use khat were 1.7 times more likely to have mental distress as compared to students who never use khat. This finding is in line with other studies in Ethiopia [23, 43]and Sao Paulo, Southeastern Brazil [44]. This may be due to the fact that substance use leads to inefficiency in life function, impaired relationship and sleep difficulty. Furthermore, substance use is associated with increased absenteeism from class and poor cadmic performance which can further lead to mental distress in students [45]. However, since the study is a cross-sectional, it is difficult to ascertain the direction of causality. Academic factors were found to be other factors associated with mental distress. Students whose grade was lower than anticipated were two times more likely to have mental distress Mental Distress among University Students in Ethiopia PLOS ONE | DOI:10.1371/journal.pone.0119464 March 20, 2015 7 / 10 than their counter parts (AOR = 2.07; 95% CI 1.51–2.83). However, the present study did not show any association between mental distress and academic performance.
LATER¶27-31
Discussion The magnitude of mental distress among students in this study was found to be 34%. The finding in the current study is lower compared to studies in USA (57%) [5], Australia (53%) [6], Brazil (44.7%) [21], Gondar (40.9) [16]. The variation might be due to the socio-cultural, environmental factors. Also time variation, the improvement of infrastructure and a service option provided by school authorities from time to time could be the reason for the variation. However, the magnitude in the current study was higher when compared with studies in France (25.7%) [13], Norway (22.9%) [22] and Iceland (22.5%) [23] and Australia (19.2%). This could be due to the different instrument used in other studies or it could be a real difference. However, nearly similar prevalence was reported in Ethiopia revealed that 32.6% of medical students experienced mental distress [15]. Substance use was found to be a strong predictor of mental distress (AOR = 12.84, 95% CI (7.13–23.13), the odds of students who ever use substance were 12.8 times more likely to have mental distress as compared to the odds of students who never use substance. This finding is in line with other studies in Ethiopia [9] and Sao Paulo, Southeastern Brazil [24]. This might be because, substance use leads to inefficiency in life function, impaired relationship and sleep deprivation. Furthermore, substance use is associated with increased absenteeism from class and poor academic performance which can further lead to mental distress in students. In this study, social support was also found to be another determinant factor for mental distress in students (AOR = 5.28; 95% CI (2.176–12.835). Having low level of social support from significant others were positively associated with mental distress. In this study, the odds of students with low social support were 5.3 times more likely to have mental distress as compared to those students with good social support. This finding is also in line with study conducted in Norwegian [22]. This could be due to its effect on hypothalamic pituitary adrenocortical (HPA) system in reducing genetic and environmental vulnerabilities. Furthermore, it is also important for maintaining good physical and mental health [25].
EARLIER¶51-55
Academic factors were found to be other factors associated with mental distress. Students whose grade was lower than anticipated were two times more likely to have mental distress Mental Distress among University Students in Ethiopia PLOS ONE | DOI:10.1371/journal.pone.0119464 March 20, 2015 7 / 10 than their counter parts (AOR = 2.07; 95% CI 1.51–2.83). However, the present study did not show any association between mental distress and academic performance. In this study, social support was also found to be another determinant factor for mental distress in students. Having high level of social support from significant others were negatively associated with mental distress. In this study, students with low social support were more than two times more likely to have mental distress as compared to those students with high social support AOR = 2.58; 95% CI 1.58–4.22). This finding is also supported by other studies [32, 44, 46]. This could be due to its effect on hypothalamic pitutary adrenocortical (HPA) system in reducing genetic and environmental vulnerabilities. Furthermore, It is also important for maintaining good physical and mental health [47]. Limitation of the study This study has some important limitations that should be kept in mind when interpreting the results. First, the cross-sectional nature of the study design does not confirm definitive cause and effect relationship. Furthermore, the study may prone to reporting bias since the data was collected based on self-reported information. Finally; reports for some of the questions were past history or encounters which are prone to recall bias. Conclusion and Recommendation The prevalence of mental distress among students was found to be high. The prevalence of mental distress was relatively high among female students. Being female sex, lack of interest towards the field of study, not having close friends, never attend religious programs, conflict with friends, absence of pocket money, having financial distress, family history of mental illness, ever use of Khat, lower grade than anticipated, lack of vacation or break, and low to moderate social support were factors associated with mental distress. Therefore, it is recommended that mental distress needs due attention and remedial action from policy makers, college officials, non-governmental organizations, parents, students and other concerned bodies. Programs aimed at preventing mental distress need to address these identified factors of mental distress against students.
LATER¶28-32
However, the magnitude in the current study was higher when compared with studies in France (25.7%) [13], Norway (22.9%) [22] and Iceland (22.5%) [23] and Australia (19.2%). This could be due to the different instrument used in other studies or it could be a real difference. However, nearly similar prevalence was reported in Ethiopia revealed that 32.6% of medical students experienced mental distress [15]. Substance use was found to be a strong predictor of mental distress (AOR = 12.84, 95% CI (7.13–23.13), the odds of students who ever use substance were 12.8 times more likely to have mental distress as compared to the odds of students who never use substance. This finding is in line with other studies in Ethiopia [9] and Sao Paulo, Southeastern Brazil [24]. This might be because, substance use leads to inefficiency in life function, impaired relationship and sleep deprivation. Furthermore, substance use is associated with increased absenteeism from class and poor academic performance which can further lead to mental distress in students. In this study, social support was also found to be another determinant factor for mental distress in students (AOR = 5.28; 95% CI (2.176–12.835). Having low level of social support from significant others were positively associated with mental distress. In this study, the odds of students with low social support were 5.3 times more likely to have mental distress as compared to those students with good social support. This finding is also in line with study conducted in Norwegian [22]. This could be due to its effect on hypothalamic pituitary adrenocortical (HPA) system in reducing genetic and environmental vulnerabilities. Furthermore, it is also important for maintaining good physical and mental health [25]. Conclusion and recommendation The prevalence of mental distress among students was found to be high. Having low social support and ever use of substance were strong predictors of mental distress.
EARLIER¶51-55
Academic factors were found to be other factors associated with mental distress. Students whose grade was lower than anticipated were two times more likely to have mental distress Mental Distress among University Students in Ethiopia PLOS ONE | DOI:10.1371/journal.pone.0119464 March 20, 2015 7 / 10 than their counter parts (AOR = 2.07; 95% CI 1.51–2.83). However, the present study did not show any association between mental distress and academic performance. In this study, social support was also found to be another determinant factor for mental distress in students. Having high level of social support from significant others were negatively associated with mental distress. In this study, students with low social support were more than two times more likely to have mental distress as compared to those students with high social support AOR = 2.58; 95% CI 1.58–4.22). This finding is also supported by other studies [32, 44, 46]. This could be due to its effect on hypothalamic pitutary adrenocortical (HPA) system in reducing genetic and environmental vulnerabilities. Furthermore, It is also important for maintaining good physical and mental health [47]. Limitation of the study This study has some important limitations that should be kept in mind when interpreting the results. First, the cross-sectional nature of the study design does not confirm definitive cause and effect relationship. Furthermore, the study may prone to reporting bias since the data was collected based on self-reported information. Finally; reports for some of the questions were past history or encounters which are prone to recall bias. Conclusion and Recommendation The prevalence of mental distress among students was found to be high. The prevalence of mental distress was relatively high among female students. Being female sex, lack of interest towards the field of study, not having close friends, never attend religious programs, conflict with friends, absence of pocket money, having financial distress, family history of mental illness, ever use of Khat, lower grade than anticipated, lack of vacation or break, and low to moderate social support were factors associated with mental distress. Therefore, it is recommended that mental distress needs due attention and remedial action from policy makers, college officials, non-governmental organizations, parents, students and other concerned bodies. Programs aimed at preventing mental distress need to address these identified factors of mental distress against students.
LATER¶28-33
However, the magnitude in the current study was higher when compared with studies in France (25.7%) [13], Norway (22.9%) [22] and Iceland (22.5%) [23] and Australia (19.2%). This could be due to the different instrument used in other studies or it could be a real difference. However, nearly similar prevalence was reported in Ethiopia revealed that 32.6% of medical students experienced mental distress [15]. Substance use was found to be a strong predictor of mental distress (AOR = 12.84, 95% CI (7.13–23.13), the odds of students who ever use substance were 12.8 times more likely to have mental distress as compared to the odds of students who never use substance. This finding is in line with other studies in Ethiopia [9] and Sao Paulo, Southeastern Brazil [24]. This might be because, substance use leads to inefficiency in life function, impaired relationship and sleep deprivation. Furthermore, substance use is associated with increased absenteeism from class and poor academic performance which can further lead to mental distress in students. In this study, social support was also found to be another determinant factor for mental distress in students (AOR = 5.28; 95% CI (2.176–12.835). Having low level of social support from significant others were positively associated with mental distress. In this study, the odds of students with low social support were 5.3 times more likely to have mental distress as compared to those students with good social support. This finding is also in line with study conducted in Norwegian [22]. This could be due to its effect on hypothalamic pituitary adrenocortical (HPA) system in reducing genetic and environmental vulnerabilities. Furthermore, it is also important for maintaining good physical and mental health [25]. Conclusion and recommendation The prevalence of mental distress among students was found to be high. Having low social support and ever use of substance were strong predictors of mental distress. AOR adjusted odds ratio, COR crudes odds ratio, CI confidence interval aSignificant association (p < 0.01) Characteristics Mental distress Yes No COR (95% CI) AOR (95% CI) P value
EARLIER¶48-52
The study also found that mental distress was significantly associated with religious practice. Students who were involved in religious program, irrespective of their religion, were less likely to be mentally distressed. This finding is supported by the other studies done in Ethiopia [23, 37]. This could be due to the fact that religious teaching helps in stress management. Furthermore, it facilitates the development of adaptive behaviors [41, 42] On the other hand, students who ever had conflict with their room mates were mentally distressed (AOR = 1.93; 95% CI 1.41–2.65). This finding is consistent with a study in Adama University [23]. This might be due to the fact that, campus life where students live together in a group; conflicts may break social ties and might result in a stressful situation. In addition, ever use of khat was found to be a significant factor of mental distress. Students who ever use khat were 1.7 times more likely to have mental distress as compared to students who never use khat. This finding is in line with other studies in Ethiopia [23, 43]and Sao Paulo, Southeastern Brazil [44]. This may be due to the fact that substance use leads to inefficiency in life function, impaired relationship and sleep difficulty. Furthermore, substance use is associated with increased absenteeism from class and poor cadmic performance which can further lead to mental distress in students [45]. However, since the study is a cross-sectional, it is difficult to ascertain the direction of causality. Academic factors were found to be other factors associated with mental distress. Students whose grade was lower than anticipated were two times more likely to have mental distress Mental Distress among University Students in Ethiopia PLOS ONE | DOI:10.1371/journal.pone.0119464 March 20, 2015 7 / 10 than their counter parts (AOR = 2.07; 95% CI 1.51–2.83). However, the present study did not show any association between mental distress and academic performance.
LATER¶28-33
However, the magnitude in the current study was higher when compared with studies in France (25.7%) [13], Norway (22.9%) [22] and Iceland (22.5%) [23] and Australia (19.2%). This could be due to the different instrument used in other studies or it could be a real difference. However, nearly similar prevalence was reported in Ethiopia revealed that 32.6% of medical students experienced mental distress [15]. Substance use was found to be a strong predictor of mental distress (AOR = 12.84, 95% CI (7.13–23.13), the odds of students who ever use substance were 12.8 times more likely to have mental distress as compared to the odds of students who never use substance. This finding is in line with other studies in Ethiopia [9] and Sao Paulo, Southeastern Brazil [24]. This might be because, substance use leads to inefficiency in life function, impaired relationship and sleep deprivation. Furthermore, substance use is associated with increased absenteeism from class and poor academic performance which can further lead to mental distress in students. In this study, social support was also found to be another determinant factor for mental distress in students (AOR = 5.28; 95% CI (2.176–12.835). Having low level of social support from significant others were positively associated with mental distress. In this study, the odds of students with low social support were 5.3 times more likely to have mental distress as compared to those students with good social support. This finding is also in line with study conducted in Norwegian [22]. This could be due to its effect on hypothalamic pituitary adrenocortical (HPA) system in reducing genetic and environmental vulnerabilities. Furthermore, it is also important for maintaining good physical and mental health [25]. Conclusion and recommendation The prevalence of mental distress among students was found to be high. Having low social support and ever use of substance were strong predictors of mental distress. AOR adjusted odds ratio, COR crudes odds ratio, CI confidence interval aSignificant association (p < 0.01) Characteristics Mental distress Yes No COR (95% CI) AOR (95% CI) P value
EARLIER¶51-55
Academic factors were found to be other factors associated with mental distress. Students whose grade was lower than anticipated were two times more likely to have mental distress Mental Distress among University Students in Ethiopia PLOS ONE | DOI:10.1371/journal.pone.0119464 March 20, 2015 7 / 10 than their counter parts (AOR = 2.07; 95% CI 1.51–2.83). However, the present study did not show any association between mental distress and academic performance. In this study, social support was also found to be another determinant factor for mental distress in students. Having high level of social support from significant others were negatively associated with mental distress. In this study, students with low social support were more than two times more likely to have mental distress as compared to those students with high social support AOR = 2.58; 95% CI 1.58–4.22). This finding is also supported by other studies [32, 44, 46]. This could be due to its effect on hypothalamic pitutary adrenocortical (HPA) system in reducing genetic and environmental vulnerabilities. Furthermore, It is also important for maintaining good physical and mental health [47]. Limitation of the study This study has some important limitations that should be kept in mind when interpreting the results. First, the cross-sectional nature of the study design does not confirm definitive cause and effect relationship. Furthermore, the study may prone to reporting bias since the data was collected based on self-reported information. Finally; reports for some of the questions were past history or encounters which are prone to recall bias. Conclusion and Recommendation The prevalence of mental distress among students was found to be high. The prevalence of mental distress was relatively high among female students. Being female sex, lack of interest towards the field of study, not having close friends, never attend religious programs, conflict with friends, absence of pocket money, having financial distress, family history of mental illness, ever use of Khat, lower grade than anticipated, lack of vacation or break, and low to moderate social support were factors associated with mental distress. Therefore, it is recommended that mental distress needs due attention and remedial action from policy makers, college officials, non-governmental organizations, parents, students and other concerned bodies. Programs aimed at preventing mental distress need to address these identified factors of mental distress against students.
LATER¶29-33
Substance use was found to be a strong predictor of mental distress (AOR = 12.84, 95% CI (7.13–23.13), the odds of students who ever use substance were 12.8 times more likely to have mental distress as compared to the odds of students who never use substance. This finding is in line with other studies in Ethiopia [9] and Sao Paulo, Southeastern Brazil [24]. This might be because, substance use leads to inefficiency in life function, impaired relationship and sleep deprivation. Furthermore, substance use is associated with increased absenteeism from class and poor academic performance which can further lead to mental distress in students. In this study, social support was also found to be another determinant factor for mental distress in students (AOR = 5.28; 95% CI (2.176–12.835). Having low level of social support from significant others were positively associated with mental distress. In this study, the odds of students with low social support were 5.3 times more likely to have mental distress as compared to those students with good social support. This finding is also in line with study conducted in Norwegian [22]. This could be due to its effect on hypothalamic pituitary adrenocortical (HPA) system in reducing genetic and environmental vulnerabilities. Furthermore, it is also important for maintaining good physical and mental health [25]. Conclusion and recommendation The prevalence of mental distress among students was found to be high. Having low social support and ever use of substance were strong predictors of mental distress. AOR adjusted odds ratio, COR crudes odds ratio, CI confidence interval aSignificant association (p < 0.01) Characteristics Mental distress Yes No COR (95% CI) AOR (95% CI) P value
EARLIER¶53-57
In this study, social support was also found to be another determinant factor for mental distress in students. Having high level of social support from significant others were negatively associated with mental distress. In this study, students with low social support were more than two times more likely to have mental distress as compared to those students with high social support AOR = 2.58; 95% CI 1.58–4.22). This finding is also supported by other studies [32, 44, 46]. This could be due to its effect on hypothalamic pitutary adrenocortical (HPA) system in reducing genetic and environmental vulnerabilities. Furthermore, It is also important for maintaining good physical and mental health [47]. Limitation of the study This study has some important limitations that should be kept in mind when interpreting the results. First, the cross-sectional nature of the study design does not confirm definitive cause and effect relationship. Furthermore, the study may prone to reporting bias since the data was collected based on self-reported information. Finally; reports for some of the questions were past history or encounters which are prone to recall bias. Conclusion and Recommendation The prevalence of mental distress among students was found to be high. The prevalence of mental distress was relatively high among female students. Being female sex, lack of interest towards the field of study, not having close friends, never attend religious programs, conflict with friends, absence of pocket money, having financial distress, family history of mental illness, ever use of Khat, lower grade than anticipated, lack of vacation or break, and low to moderate social support were factors associated with mental distress. Therefore, it is recommended that mental distress needs due attention and remedial action from policy makers, college officials, non-governmental organizations, parents, students and other concerned bodies. Programs aimed at preventing mental distress need to address these identified factors of mental distress against students. Acknowledgments The authors would like to thank facilitators and the study participants for their dedicated cooperation and made the study possible. Author Contributions Conceived and designed the experiments: BAD. Performed the experiments: BAD TAB RBG. Analyzed the data: BAD. Contributed reagents/materials/analysis tools: BAD TAB RBG. Wrote the paper: BAD TAB RBG.
LATER¶30-34
In this study, social support was also found to be another determinant factor for mental distress in students (AOR = 5.28; 95% CI (2.176–12.835). Having low level of social support from significant others were positively associated with mental distress. In this study, the odds of students with low social support were 5.3 times more likely to have mental distress as compared to those students with good social support. This finding is also in line with study conducted in Norwegian [22]. This could be due to its effect on hypothalamic pituitary adrenocortical (HPA) system in reducing genetic and environmental vulnerabilities. Furthermore, it is also important for maintaining good physical and mental health [25]. Conclusion and recommendation The prevalence of mental distress among students was found to be high. Having low social support and ever use of substance were strong predictors of mental distress. AOR adjusted odds ratio, COR crudes odds ratio, CI confidence interval aSignificant association (p < 0.01) Characteristics Mental distress Yes No COR (95% CI) AOR (95% CI) P value Age 18–20 71 32 0.20 (0.057,0.669) 0.42 (0.83,2.154) 0.299 21–23 80 35 0.194 (0.56,0.674) 0.28 (0.58,1.338) 0.111 24–26 49 29 0.263 (0.74, 0.931) 0.49 (0.11,2.385) 0.378
EARLIER¶22-26
Prevalence of mental distress Prevalence of mental distress among students was found to be 40.9% (95% CI 37.6, 44.1%). Relatively high (44.6%) prevalence of mental distress was found among female students as compared to males (38.8%). The distribution of SRQ-20 showed a mean score of 6.53 (±4.14) ranging from 0 to 20. Mental Distress among University Students in Ethiopia PLOS ONE | DOI:10.1371/journal.pone.0119464 March 20, 2015 4 / 10 vacation or break, and social support were significantly associated factors of mental distress among respondents (Table 2). Discussion The prevalence of mental distress among students was found to be 40.9% in the current study. This finding is lower as compared to studies in USA (57%) [19] Australia (53%) [20] and Brazil (44.7%) [29]. The difference could be attributed to the socio, cultural and environmental factors. It was also lower when compared with study in Hawassa University, Ethiopia 49.1% [30]. This might be due to time variation; the improvement of infrastructure and a service option provided by school authorities from time to time. However, the prevalence in the current study was higher when compared with studies in France (25.7%) [31], Norway (22.9%) [32], Iceland (22.5%) [33] and Australia (19.2%) [10]. Table 1. Socio demographic characteristics of the respondents, University of Gondar, Northwest Ethiopia, April 2014 (n = 836). Variables Frequency Percent (%)
LATER¶30-34
In this study, social support was also found to be another determinant factor for mental distress in students (AOR = 5.28; 95% CI (2.176–12.835). Having low level of social support from significant others were positively associated with mental distress. In this study, the odds of students with low social support were 5.3 times more likely to have mental distress as compared to those students with good social support. This finding is also in line with study conducted in Norwegian [22]. This could be due to its effect on hypothalamic pituitary adrenocortical (HPA) system in reducing genetic and environmental vulnerabilities. Furthermore, it is also important for maintaining good physical and mental health [25]. Conclusion and recommendation The prevalence of mental distress among students was found to be high. Having low social support and ever use of substance were strong predictors of mental distress. AOR adjusted odds ratio, COR crudes odds ratio, CI confidence interval aSignificant association (p < 0.01) Characteristics Mental distress Yes No COR (95% CI) AOR (95% CI) P value Age 18–20 71 32 0.20 (0.057,0.669) 0.42 (0.83,2.154) 0.299 21–23 80 35 0.194 (0.56,0.674) 0.28 (0.58,1.338) 0.111 24–26 49 29 0.263 (0.74, 0.931) 0.49 (0.11,2.385) 0.378
EARLIER¶6-10
Data Availability Statement: All relevant data are within the manuscript and on Figshare via http://dx. doi.org/10.6084/m9.figshare.1295936. Funding: The authors have no support or funding to report. Competing Interests: The authors have declared that no competing interests exist. 2.59), lower grade than anticipated(AOR = 2.07; 95% CI 1.51–2.83), lack of vacation or break (AOR = 1.46; 95% CI 1.06–2.02), and low social support(AOR = 2.58; 95% CI 1.58– 4.22) were significantly associated with mental distress. Conclusion The overall prevalence of mental distress among students was found to be high. Therefore, it is recommended that mental distress needs due attention and remedial action from policy makers, college officials, non-governmental organizations, parents, students and other concerned bodies. Currently mental distress is an important public health problem and it is a leading cause of disability worldwide, accounting for one third of disability adjusted life years (DALYs) [4, 5]. In Africa mental illness is an important public health challenge that is under recognized as a public burden. Studies conducted in South Africa revealed that the prevalence of common mental disorders is 27% [6] In Ethiopia mental disorders account for 11% of total burden of diseases [7]. Although mental health problems affect society as a whole and no group is immune to mental disorders; students have significantly high level of psychological distress than their community peers [8–10]. This is due to the fact that university students face multiple stressors such as academic load, constant pressure to succeed, competition with peers, financial burden, peer, teacher or parental pressure as well as concerns about the future [11, 12]. This can have negative effects on student’s ability to study and academic outcomes [10, 13, 14]. Such situation of stress may later lead to mental health problems but students seldom seek help for their problems [15–17]. A study among undergraduate students in Canada showed that 30% of students had psychological distresses which was significantly higher than that of adults in the general population of Canada [18]. Furthermore, more than half of students in USA [19] 53% of students in Australia [20] 41.9% of students in Malaysia [21] 10.8% of students in Kenya [22] and 21.6% of students in Ethiopia [23] experienced mental distress. Another study in Ethiopia revealed that 32.6% of medical students experienced mental distress[24]. However, since this study was done only on medical students and with small sample size (273), it may not represent all University students in Ethiopia. Furthermore, this study was done in 2001 which may not reflect the current status of mental distress among University students in Ethiopia.
LATER¶30-34
In this study, social support was also found to be another determinant factor for mental distress in students (AOR = 5.28; 95% CI (2.176–12.835). Having low level of social support from significant others were positively associated with mental distress. In this study, the odds of students with low social support were 5.3 times more likely to have mental distress as compared to those students with good social support. This finding is also in line with study conducted in Norwegian [22]. This could be due to its effect on hypothalamic pituitary adrenocortical (HPA) system in reducing genetic and environmental vulnerabilities. Furthermore, it is also important for maintaining good physical and mental health [25]. Conclusion and recommendation The prevalence of mental distress among students was found to be high. Having low social support and ever use of substance were strong predictors of mental distress. AOR adjusted odds ratio, COR crudes odds ratio, CI confidence interval aSignificant association (p < 0.01) Characteristics Mental distress Yes No COR (95% CI) AOR (95% CI) P value Age 18–20 71 32 0.20 (0.057,0.669) 0.42 (0.83,2.154) 0.299 21–23 80 35 0.194 (0.56,0.674) 0.28 (0.58,1.338) 0.111 24–26 49 29 0.263 (0.74, 0.931) 0.49 (0.11,2.385) 0.378
EARLIER¶1-5
Objectives The purpose of this study was to assess the prevalence and associated factors of mental distress among undergraduate students of University of Gondar, Northwest Ethiopia. Methods Institution based cross sectional study was conducted among 836 students from April 9–11/ 2014. Stratified multistage sampling technique was used to select the study participants. Data were collected using pretested and structured self-administered questionnaire. Bivariate and multivariate logistic regression model was fitted to identify factors associated with mental distress among students. An adjusted odds ratio with 95% confidence interval was computed to determine the level of significance. Results Prevalence of mental distress among students was found to be 40.9%. Female sex (AOR = 1.65; 95% CI 1.17–2.30), lack of interest towards their field of study (AOR = 2.28; 95% CI 1.49–3.50), not having close friends (AOR = 1.48; 95% CI 1.03–2.14), never attend religious programs (AOR = 1.58; 95% CI 1.02–2.46), conflict with friends (AOR = 1.93; 95% CI 1.41–2.65), having financial distress (AOR1.49 = 95% CI 1.05, 2.10), family history of mental illness (AOR = 2.12; 95% CI 1.31–3.45), Ever use of Khat (AOR = 1.71; 95% CI 1.12– PLOS ONE | DOI:10.1371/journal.pone.0119464 March 20, 2015 1 / 10 a11111 OPEN ACCESS Citation: Dachew BA, Azale Bisetegn T, Berhe Gebremariam R (2015) Prevalence of Mental Distress and Associated Factors among Undergraduate Students of University of Gondar, Northwest Ethiopia: A Cross-Sectional Institutional Based Study. PLoS ONE 10(3): e0119464. doi:10.1371/journal.pone.0119464 Copyright: © 2015 Dachew et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
LATER¶30-34
In this study, social support was also found to be another determinant factor for mental distress in students (AOR = 5.28; 95% CI (2.176–12.835). Having low level of social support from significant others were positively associated with mental distress. In this study, the odds of students with low social support were 5.3 times more likely to have mental distress as compared to those students with good social support. This finding is also in line with study conducted in Norwegian [22]. This could be due to its effect on hypothalamic pituitary adrenocortical (HPA) system in reducing genetic and environmental vulnerabilities. Furthermore, it is also important for maintaining good physical and mental health [25]. Conclusion and recommendation The prevalence of mental distress among students was found to be high. Having low social support and ever use of substance were strong predictors of mental distress. AOR adjusted odds ratio, COR crudes odds ratio, CI confidence interval aSignificant association (p < 0.01) Characteristics Mental distress Yes No COR (95% CI) AOR (95% CI) P value Age 18–20 71 32 0.20 (0.057,0.669) 0.42 (0.83,2.154) 0.299 21–23 80 35 0.194 (0.56,0.674) 0.28 (0.58,1.338) 0.111 24–26 49 29 0.263 (0.74, 0.931) 0.49 (0.11,2.385) 0.378
EARLIER¶20-24
Ethics statement The study was approved by the Institute Review Board (IRB) of the University of Gondar. Written Informed consent was obtained from respondents who were selected to participate in the study. Results Socio demographic characteristics of the respondents Out of 872 study participants, 836 students participated in the study giving response rate of 95.87%. Most 538 (64.4%) respondents were male. The mean (standard deviation) age of the respondents was 20 (±1.54) years. The higher percentages of the respondents were from urban background 544 (65.1%). About three fourth of the respondents 618 (73.9%) were followers of Orthodox Christianity and majority of the respondents 714 (85.5%) take part in religious practice. About 270 (32.3%) of the respondents were from faculty of technology and more than one third of the respondents 286 (34.2%) were first year in academic enrollment. Out of the total respondents 675(80.7%) joined the department by their choice and most 706 (84.4%) were currently interested in their felid of study. Five hundred twenty one (62.3%) of the respondents had pocket money ranging from minimum of 50 to maximum of 2000 Ethiopian birr per month and 97(11.6%) of the respondents had family history of mental illness (Table 1). Prevalence of mental distress Prevalence of mental distress among students was found to be 40.9% (95% CI 37.6, 44.1%). Relatively high (44.6%) prevalence of mental distress was found among female students as compared to males (38.8%). The distribution of SRQ-20 showed a mean score of 6.53 (±4.14) ranging from 0 to 20. Mental Distress among University Students in Ethiopia PLOS ONE | DOI:10.1371/journal.pone.0119464 March 20, 2015 4 / 10 vacation or break, and social support were significantly associated factors of mental distress among respondents (Table 2). Discussion The prevalence of mental distress among students was found to be 40.9% in the current study. This finding is lower as compared to studies in USA (57%) [19] Australia (53%) [20] and Brazil (44.7%) [29]. The difference could be attributed to the socio, cultural and environmental factors. It was also lower when compared with study in Hawassa University, Ethiopia 49.1% [30]. This might be due to time variation; the improvement of infrastructure and a service option provided by school authorities from time to time.
LATER¶30-34
In this study, social support was also found to be another determinant factor for mental distress in students (AOR = 5.28; 95% CI (2.176–12.835). Having low level of social support from significant others were positively associated with mental distress. In this study, the odds of students with low social support were 5.3 times more likely to have mental distress as compared to those students with good social support. This finding is also in line with study conducted in Norwegian [22]. This could be due to its effect on hypothalamic pituitary adrenocortical (HPA) system in reducing genetic and environmental vulnerabilities. Furthermore, it is also important for maintaining good physical and mental health [25]. Conclusion and recommendation The prevalence of mental distress among students was found to be high. Having low social support and ever use of substance were strong predictors of mental distress. AOR adjusted odds ratio, COR crudes odds ratio, CI confidence interval aSignificant association (p < 0.01) Characteristics Mental distress Yes No COR (95% CI) AOR (95% CI) P value Age 18–20 71 32 0.20 (0.057,0.669) 0.42 (0.83,2.154) 0.299 21–23 80 35 0.194 (0.56,0.674) 0.28 (0.58,1.338) 0.111 24–26 49 29 0.263 (0.74, 0.931) 0.49 (0.11,2.385) 0.378
EARLIER¶53-57
In this study, social support was also found to be another determinant factor for mental distress in students. Having high level of social support from significant others were negatively associated with mental distress. In this study, students with low social support were more than two times more likely to have mental distress as compared to those students with high social support AOR = 2.58; 95% CI 1.58–4.22). This finding is also supported by other studies [32, 44, 46]. This could be due to its effect on hypothalamic pitutary adrenocortical (HPA) system in reducing genetic and environmental vulnerabilities. Furthermore, It is also important for maintaining good physical and mental health [47]. Limitation of the study This study has some important limitations that should be kept in mind when interpreting the results. First, the cross-sectional nature of the study design does not confirm definitive cause and effect relationship. Furthermore, the study may prone to reporting bias since the data was collected based on self-reported information. Finally; reports for some of the questions were past history or encounters which are prone to recall bias. Conclusion and Recommendation The prevalence of mental distress among students was found to be high. The prevalence of mental distress was relatively high among female students. Being female sex, lack of interest towards the field of study, not having close friends, never attend religious programs, conflict with friends, absence of pocket money, having financial distress, family history of mental illness, ever use of Khat, lower grade than anticipated, lack of vacation or break, and low to moderate social support were factors associated with mental distress. Therefore, it is recommended that mental distress needs due attention and remedial action from policy makers, college officials, non-governmental organizations, parents, students and other concerned bodies. Programs aimed at preventing mental distress need to address these identified factors of mental distress against students. Acknowledgments The authors would like to thank facilitators and the study participants for their dedicated cooperation and made the study possible. Author Contributions Conceived and designed the experiments: BAD. Performed the experiments: BAD TAB RBG. Analyzed the data: BAD. Contributed reagents/materials/analysis tools: BAD TAB RBG. Wrote the paper: BAD TAB RBG.
LATER¶36-40
Married 11 9 3.68 (0.629,21.559) 0.43 (0.12,1.58) 0.204 Divorced 4 1 2.33 (0.492,1098) 0.16 (0.88,3.039) 0.222 Single 180 93 1.125 (0.078,16.3) 0.589 (0.054,6.46) 0.665 Other 9 2 1 1 1 Current substance use Yes 44 81 12.27 (6.97,21.58) 12.84 (7.13,23.13) 0.001a No 160 24 1 1 1 Social support Poor 71 7 7.47 (3.29,16.95) 5.28 (2.18, 12.84) 0.001a Strong 133 98 1 1 1 Page 5 of 5 Bedaso et al. Ann Gen Psychiatry (2020) 19:6 policy-makers, college officials, non-governmental organizations, parents, students and other concerned bodies. Programs aimed at preventing mental distress need to address these identified factors of mental distress against students. Limitation The cross-sectional nature of the study design does not confirm definitive cause-and-effect relationship. Also, the study may be prone to reporting bias since the data were collected based on self-reported information. Acknowledgements We would like to acknowledge study participants for devoting their time and providing us important information during data collection.
EARLIER¶6-10
Data Availability Statement: All relevant data are within the manuscript and on Figshare via http://dx. doi.org/10.6084/m9.figshare.1295936. Funding: The authors have no support or funding to report. Competing Interests: The authors have declared that no competing interests exist. 2.59), lower grade than anticipated(AOR = 2.07; 95% CI 1.51–2.83), lack of vacation or break (AOR = 1.46; 95% CI 1.06–2.02), and low social support(AOR = 2.58; 95% CI 1.58– 4.22) were significantly associated with mental distress. Conclusion The overall prevalence of mental distress among students was found to be high. Therefore, it is recommended that mental distress needs due attention and remedial action from policy makers, college officials, non-governmental organizations, parents, students and other concerned bodies. Currently mental distress is an important public health problem and it is a leading cause of disability worldwide, accounting for one third of disability adjusted life years (DALYs) [4, 5]. In Africa mental illness is an important public health challenge that is under recognized as a public burden. Studies conducted in South Africa revealed that the prevalence of common mental disorders is 27% [6] In Ethiopia mental disorders account for 11% of total burden of diseases [7]. Although mental health problems affect society as a whole and no group is immune to mental disorders; students have significantly high level of psychological distress than their community peers [8–10]. This is due to the fact that university students face multiple stressors such as academic load, constant pressure to succeed, competition with peers, financial burden, peer, teacher or parental pressure as well as concerns about the future [11, 12]. This can have negative effects on student’s ability to study and academic outcomes [10, 13, 14]. Such situation of stress may later lead to mental health problems but students seldom seek help for their problems [15–17]. A study among undergraduate students in Canada showed that 30% of students had psychological distresses which was significantly higher than that of adults in the general population of Canada [18]. Furthermore, more than half of students in USA [19] 53% of students in Australia [20] 41.9% of students in Malaysia [21] 10.8% of students in Kenya [22] and 21.6% of students in Ethiopia [23] experienced mental distress. Another study in Ethiopia revealed that 32.6% of medical students experienced mental distress[24]. However, since this study was done only on medical students and with small sample size (273), it may not represent all University students in Ethiopia. Furthermore, this study was done in 2001 which may not reflect the current status of mental distress among University students in Ethiopia.
LATER¶36-40
Married 11 9 3.68 (0.629,21.559) 0.43 (0.12,1.58) 0.204 Divorced 4 1 2.33 (0.492,1098) 0.16 (0.88,3.039) 0.222 Single 180 93 1.125 (0.078,16.3) 0.589 (0.054,6.46) 0.665 Other 9 2 1 1 1 Current substance use Yes 44 81 12.27 (6.97,21.58) 12.84 (7.13,23.13) 0.001a No 160 24 1 1 1 Social support Poor 71 7 7.47 (3.29,16.95) 5.28 (2.18, 12.84) 0.001a Strong 133 98 1 1 1 Page 5 of 5 Bedaso et al. Ann Gen Psychiatry (2020) 19:6 policy-makers, college officials, non-governmental organizations, parents, students and other concerned bodies. Programs aimed at preventing mental distress need to address these identified factors of mental distress against students. Limitation The cross-sectional nature of the study design does not confirm definitive cause-and-effect relationship. Also, the study may be prone to reporting bias since the data were collected based on self-reported information. Acknowledgements We would like to acknowledge study participants for devoting their time and providing us important information during data collection.
EARLIER¶52-56
Mental Distress among University Students in Ethiopia PLOS ONE | DOI:10.1371/journal.pone.0119464 March 20, 2015 7 / 10 than their counter parts (AOR = 2.07; 95% CI 1.51–2.83). However, the present study did not show any association between mental distress and academic performance. In this study, social support was also found to be another determinant factor for mental distress in students. Having high level of social support from significant others were negatively associated with mental distress. In this study, students with low social support were more than two times more likely to have mental distress as compared to those students with high social support AOR = 2.58; 95% CI 1.58–4.22). This finding is also supported by other studies [32, 44, 46]. This could be due to its effect on hypothalamic pitutary adrenocortical (HPA) system in reducing genetic and environmental vulnerabilities. Furthermore, It is also important for maintaining good physical and mental health [47]. Limitation of the study This study has some important limitations that should be kept in mind when interpreting the results. First, the cross-sectional nature of the study design does not confirm definitive cause and effect relationship. Furthermore, the study may prone to reporting bias since the data was collected based on self-reported information. Finally; reports for some of the questions were past history or encounters which are prone to recall bias. Conclusion and Recommendation The prevalence of mental distress among students was found to be high. The prevalence of mental distress was relatively high among female students. Being female sex, lack of interest towards the field of study, not having close friends, never attend religious programs, conflict with friends, absence of pocket money, having financial distress, family history of mental illness, ever use of Khat, lower grade than anticipated, lack of vacation or break, and low to moderate social support were factors associated with mental distress. Therefore, it is recommended that mental distress needs due attention and remedial action from policy makers, college officials, non-governmental organizations, parents, students and other concerned bodies. Programs aimed at preventing mental distress need to address these identified factors of mental distress against students. Acknowledgments The authors would like to thank facilitators and the study participants for their dedicated cooperation and made the study possible. Author Contributions
LATER¶37-41
0.665 Other 9 2 1 1 1 Current substance use Yes 44 81 12.27 (6.97,21.58) 12.84 (7.13,23.13) 0.001a No 160 24 1 1 1 Social support Poor 71 7 7.47 (3.29,16.95) 5.28 (2.18, 12.84) 0.001a Strong 133 98 1 1 1 Page 5 of 5 Bedaso et al. Ann Gen Psychiatry (2020) 19:6 policy-makers, college officials, non-governmental organizations, parents, students and other concerned bodies. Programs aimed at preventing mental distress need to address these identified factors of mental distress against students. Limitation The cross-sectional nature of the study design does not confirm definitive cause-and-effect relationship. Also, the study may be prone to reporting bias since the data were collected based on self-reported information. Acknowledgements We would like to acknowledge study participants for devoting their time and providing us important information during data collection. Authors’ contributions AB and BD participated in the conception, design of the study, reviewing proposal and data analysis. AB, BD and TY participated in reviewing and writing the report. AB prepared the manuscript for publication. TY and BD have participated in supervising the manuscript. All authors read and approved the final manuscript.