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.

Bedaso, A; Duko, B; Yeneabat, T

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.

Bedaso, A Duko, B Yeneabat, T

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Publisher:: Springer Science and Business Media LLC
Publication Type:: Journal Article
Citation:: Annals of general psychiatry, 2020, 19, (1), pp. 6
Issue Date:: 2020-01

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Field	Value	Language
dc.contributor.author	Bedaso, A
dc.contributor.author	Duko, B
dc.contributor.author	Yeneabat, T
dc.date.accessioned	2021-10-11T07:38:20Z
dc.date.available	2020-01-08
dc.date.available	2021-10-11T07:38:20Z
dc.date.issued	2020-01
dc.identifier.citation	Annals of general psychiatry, 2020, 19, (1), pp. 6
dc.identifier.issn	1744-859X
dc.identifier.issn	1744-859X
dc.identifier.uri	http://hdl.handle.net/10453/151008
dc.description.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.
dc.format	Electronic-eCollection
dc.language	eng
dc.publisher	Springer Science and Business Media LLC
dc.relation.ispartof	Annals of general psychiatry
dc.relation.isbasedon	10.1186/s12991-020-0258-y
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	1701 Psychology
dc.subject.classification	Psychiatry
dc.title	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.
dc.type	Journal Article
utslib.citation.volume	19
utslib.location.activity	England
utslib.for	1701 Psychology
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Health
pubs.organisational-group	/University of Technology Sydney/Faculty of Health/Public Health
utslib.copyright.status	open_access	*
dc.date.updated	2021-10-11T07:38:18Z
pubs.issue	1
pubs.publication-status	Published
pubs.volume	19
utslib.citation.issue	1

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.

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http://hdl.handle.net/10453/151008