Abiyu Ayalew Assefa¹, Kaleab Tesfaye Tegegne¹*, Gashaw Mehiret Wubet², Andualem Zenebe¹, Eleni Tesfaye Tegegne³ and Mekibib Kassa Tessema⁴

¹Department of Public Health, Hawassa College of Health Science, Hawassa, Ethiopia
²Health Science College, School of Medicine, Debretabor University, Debretabor, Ethiopia
³College of Medicine and Health Science, School of Nursing, University of Gondar, Gondar
⁴Leishmania Research and Treatment Center, University of Gondar, Gondar, Ethiopia

*Corresponding Author: Kaleab Tesfaye Tegegne, Department of Public Health, Hawassa College of Health Science, Hawassa, Ethiopia.

Received: June 01, 2021; Published: August 28, 2021

Abstract

Background: In Ethiopia, mental illness in particular depression is the leading non-communicable disorder in terms of burden. The purpose of this review is to provide latest available comparison of depression among married and divorced people in Ethiopia.

Methods: This is systemic review and meta-analysis by study design. The studies were searched in Google Scholar, Medline and Web of science database and PRISMA guidelines protocol was used to write the systematic review.

Results: Twenty studies were found to be eligible and included in the meta-analysis. The combined effect size of all studies revealed a statistically significant association between marital status and depression (OR = 0.57; 95% CI: 0.37 - 0.86).

Conclusion: We found that divorced people were more likely to have depression than married people. Thus, more attention should be paid to strengthen activities which discourage divorce at community level and integrating mental health counseling into health extension programme is advisable.

Keywords: Depression; Ethiopia; Marital Status; Mental Disorder

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Citation

Citation: Kaleab Tesfaye Tegegne., et al. “Comparison of Depression among Married and Divorced People in Ethiopia: Secondary Data Analysis”. Acta Scientific Neurology 4.9 (2021): 56-63.

Copyright

Copyright: © 2021 Kaleab Tesfaye Tegegne., 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.