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Prevalence of depression and associated factors among elderly people in Womberma District, north-west, Ethiopia

BACKGROUND: Depression is a common mental disorder that suffers many elderly people who are neglected, their problems are overlooked, and no efforts are made to mitigate their suffering. It is a mental health problem which is both underdiagnosed and under treated in primary care settings. This study...

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Autores principales: Mulat, Nebiyu, Gutema, Hordofa, Wassie, Gizachew Tadesse
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7938572/
https://www.ncbi.nlm.nih.gov/pubmed/33685419
http://dx.doi.org/10.1186/s12888-021-03145-x
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author Mulat, Nebiyu
Gutema, Hordofa
Wassie, Gizachew Tadesse
author_facet Mulat, Nebiyu
Gutema, Hordofa
Wassie, Gizachew Tadesse
author_sort Mulat, Nebiyu
collection PubMed
description BACKGROUND: Depression is a common mental disorder that suffers many elderly people who are neglected, their problems are overlooked, and no efforts are made to mitigate their suffering. It is a mental health problem which is both underdiagnosed and under treated in primary care settings. This study was aimed to assess the prevalence and associated factors of depression among elderly people in Womberma District, Ethiopia. METHODS: A community based cross-sectional study was conducted from March 10/2020 - April 08/2020. From a 2269 study population, 959 study participants were selected by using computer-generated simple random sampling techniques from selected kebeles. Data were collected using Geriatric depression scale item 15 through face-to-face interviews. Then, entered into EpiData version 3.1 and then exported to SPSS version 23.0 for analyses. Bi-variable and multivariable logistic regression models were fitted to identify associated factors of depression. An adjusted odds ratio with 95% confidence interval was reported and statistical significance was declared at P-values < 0.05. RESULTS: The prevalence of depression among elderly people was 45% [95% CI: 41.7–48.5%]. Being female [AOR = 1.60, 95% CI [(1.15–2.23)], (age > =75 years [AOR = 7.95, 95% CI (4.98–12.68)], age 70–74 years [AOR = 5.52, 95% CI (3.52–8.66)], age 65–69 years [AOR = 2.39,95% CI (1.54–3.70)]; divorced [AOR = 2.53, 95% CI (1.59–4.03)], widowed [AOR = 2.65, 95% CI (1.61–4.34)]; poor social support [AOR = 3.32, 95% CI (1.77–6.23)] and presence of known chronic disease [AOR = 1.91, 95% CI (1.30–2.81)] were significantly associated factors with depression. CONCLUSIONS: In this study, the prevalence of depression among elderly people was high compared with previous studies done in other parts of Ethiopia. Older age, being female, marital loss, presence of known chronic disease, and poor social support were contributing factors for depression among elders. Early screening and co-morbidity management of depression should be comprised in basic primary health care packages. And also, ensuring adequate social support by establishing the Geriatrics care center could play a crucial role to mitigate the suffering of the elders from marital loss provoked loneness and depression.
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spelling pubmed-79385722021-03-09 Prevalence of depression and associated factors among elderly people in Womberma District, north-west, Ethiopia Mulat, Nebiyu Gutema, Hordofa Wassie, Gizachew Tadesse BMC Psychiatry Research Article BACKGROUND: Depression is a common mental disorder that suffers many elderly people who are neglected, their problems are overlooked, and no efforts are made to mitigate their suffering. It is a mental health problem which is both underdiagnosed and under treated in primary care settings. This study was aimed to assess the prevalence and associated factors of depression among elderly people in Womberma District, Ethiopia. METHODS: A community based cross-sectional study was conducted from March 10/2020 - April 08/2020. From a 2269 study population, 959 study participants were selected by using computer-generated simple random sampling techniques from selected kebeles. Data were collected using Geriatric depression scale item 15 through face-to-face interviews. Then, entered into EpiData version 3.1 and then exported to SPSS version 23.0 for analyses. Bi-variable and multivariable logistic regression models were fitted to identify associated factors of depression. An adjusted odds ratio with 95% confidence interval was reported and statistical significance was declared at P-values < 0.05. RESULTS: The prevalence of depression among elderly people was 45% [95% CI: 41.7–48.5%]. Being female [AOR = 1.60, 95% CI [(1.15–2.23)], (age > =75 years [AOR = 7.95, 95% CI (4.98–12.68)], age 70–74 years [AOR = 5.52, 95% CI (3.52–8.66)], age 65–69 years [AOR = 2.39,95% CI (1.54–3.70)]; divorced [AOR = 2.53, 95% CI (1.59–4.03)], widowed [AOR = 2.65, 95% CI (1.61–4.34)]; poor social support [AOR = 3.32, 95% CI (1.77–6.23)] and presence of known chronic disease [AOR = 1.91, 95% CI (1.30–2.81)] were significantly associated factors with depression. CONCLUSIONS: In this study, the prevalence of depression among elderly people was high compared with previous studies done in other parts of Ethiopia. Older age, being female, marital loss, presence of known chronic disease, and poor social support were contributing factors for depression among elders. Early screening and co-morbidity management of depression should be comprised in basic primary health care packages. And also, ensuring adequate social support by establishing the Geriatrics care center could play a crucial role to mitigate the suffering of the elders from marital loss provoked loneness and depression. BioMed Central 2021-03-08 /pmc/articles/PMC7938572/ /pubmed/33685419 http://dx.doi.org/10.1186/s12888-021-03145-x Text en © The Author(s) 2021 Open AccessThis 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://creativecommons.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.
spellingShingle Research Article
Mulat, Nebiyu
Gutema, Hordofa
Wassie, Gizachew Tadesse
Prevalence of depression and associated factors among elderly people in Womberma District, north-west, Ethiopia
title Prevalence of depression and associated factors among elderly people in Womberma District, north-west, Ethiopia
title_full Prevalence of depression and associated factors among elderly people in Womberma District, north-west, Ethiopia
title_fullStr Prevalence of depression and associated factors among elderly people in Womberma District, north-west, Ethiopia
title_full_unstemmed Prevalence of depression and associated factors among elderly people in Womberma District, north-west, Ethiopia
title_short Prevalence of depression and associated factors among elderly people in Womberma District, north-west, Ethiopia
title_sort prevalence of depression and associated factors among elderly people in womberma district, north-west, ethiopia
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7938572/
https://www.ncbi.nlm.nih.gov/pubmed/33685419
http://dx.doi.org/10.1186/s12888-021-03145-x
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