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Exploring depressive symptoms and its associates among Bangladeshi older adults amid COVID-19 pandemic: findings from a cross-sectional study
PURPOSE: Depression, one of the most common mental disorders, is up-surging worldwide amid the ongoing coronavirus disease 2019 (COVID-19) pandemic, especially among the older population. This study aims to measure prevalent depressive symptoms and its associates among older adults amid the COVID-19...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7930102/ https://www.ncbi.nlm.nih.gov/pubmed/33661353 http://dx.doi.org/10.1007/s00127-021-02052-6 |
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author | Mistry, Sabuj Kanti Ali, A. R. M. Mehrab Hossain, Md. Belal Yadav, Uday Narayan Ghimire, Saruna Rahman, Md. Ashfikur Irfan, Nafis Md. Huque, Rumana |
author_facet | Mistry, Sabuj Kanti Ali, A. R. M. Mehrab Hossain, Md. Belal Yadav, Uday Narayan Ghimire, Saruna Rahman, Md. Ashfikur Irfan, Nafis Md. Huque, Rumana |
author_sort | Mistry, Sabuj Kanti |
collection | PubMed |
description | PURPOSE: Depression, one of the most common mental disorders, is up-surging worldwide amid the ongoing coronavirus disease 2019 (COVID-19) pandemic, especially among the older population. This study aims to measure prevalent depressive symptoms and its associates among older adults amid the COVID-19 pandemic in Bangladesh. METHODS: This cross-sectional study was carried out among 1032 older Bangladeshi adults, aged 60 years and above, through telephone interviews in October 2020. We used a semi-structured questionnaire to collect data on participants’ socio-demographic and lifestyle characteristics, pre-existing medical conditions, and COVID-19-related information. Meanwhile, depressive symptoms were measured using the 15-item Geriatric Depression Scale (GDS-15). The binary logistic regression model was used to identify the factors associated with depressive symptoms. RESULTS: Two-in-five participants showed depressive symptoms on the GDS-15 scale. Poor socioeconomic characteristic such as low family income, dependency on the family for living, recipient of financial support during the pandemic was associated with higher odds of depressive symptoms. Participants with pre-existing medical conditions had 91% higher odds of depressive symptoms. Social isolation, captured in terms of living alone (aOR = 2.11, 95% CI 1.11–4.01), less frequent communication during pandemic (aOR = 1.55, 95% CI 1.07–2.26), perceived loneliness (aOR = 2.25, 95% CI 1.47–3.45), and isolation from others (aOR = 2.45, 95% CI 1.62–3.70) were associated with higher odds of depressive symptoms. CONCLUSIONS: Our study found a sizeable proportion of study participants with depressive symptoms amidst the ongoing pandemic. The findings of the present study call for the urgent need for mental health support package targeting this vulnerable group of population. |
format | Online Article Text |
id | pubmed-7930102 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-79301022021-03-04 Exploring depressive symptoms and its associates among Bangladeshi older adults amid COVID-19 pandemic: findings from a cross-sectional study Mistry, Sabuj Kanti Ali, A. R. M. Mehrab Hossain, Md. Belal Yadav, Uday Narayan Ghimire, Saruna Rahman, Md. Ashfikur Irfan, Nafis Md. Huque, Rumana Soc Psychiatry Psychiatr Epidemiol Original Paper PURPOSE: Depression, one of the most common mental disorders, is up-surging worldwide amid the ongoing coronavirus disease 2019 (COVID-19) pandemic, especially among the older population. This study aims to measure prevalent depressive symptoms and its associates among older adults amid the COVID-19 pandemic in Bangladesh. METHODS: This cross-sectional study was carried out among 1032 older Bangladeshi adults, aged 60 years and above, through telephone interviews in October 2020. We used a semi-structured questionnaire to collect data on participants’ socio-demographic and lifestyle characteristics, pre-existing medical conditions, and COVID-19-related information. Meanwhile, depressive symptoms were measured using the 15-item Geriatric Depression Scale (GDS-15). The binary logistic regression model was used to identify the factors associated with depressive symptoms. RESULTS: Two-in-five participants showed depressive symptoms on the GDS-15 scale. Poor socioeconomic characteristic such as low family income, dependency on the family for living, recipient of financial support during the pandemic was associated with higher odds of depressive symptoms. Participants with pre-existing medical conditions had 91% higher odds of depressive symptoms. Social isolation, captured in terms of living alone (aOR = 2.11, 95% CI 1.11–4.01), less frequent communication during pandemic (aOR = 1.55, 95% CI 1.07–2.26), perceived loneliness (aOR = 2.25, 95% CI 1.47–3.45), and isolation from others (aOR = 2.45, 95% CI 1.62–3.70) were associated with higher odds of depressive symptoms. CONCLUSIONS: Our study found a sizeable proportion of study participants with depressive symptoms amidst the ongoing pandemic. The findings of the present study call for the urgent need for mental health support package targeting this vulnerable group of population. Springer Berlin Heidelberg 2021-03-04 2021 /pmc/articles/PMC7930102/ /pubmed/33661353 http://dx.doi.org/10.1007/s00127-021-02052-6 Text en © Springer-Verlag GmbH, DE part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Paper Mistry, Sabuj Kanti Ali, A. R. M. Mehrab Hossain, Md. Belal Yadav, Uday Narayan Ghimire, Saruna Rahman, Md. Ashfikur Irfan, Nafis Md. Huque, Rumana Exploring depressive symptoms and its associates among Bangladeshi older adults amid COVID-19 pandemic: findings from a cross-sectional study |
title | Exploring depressive symptoms and its associates among Bangladeshi older adults amid COVID-19 pandemic: findings from a cross-sectional study |
title_full | Exploring depressive symptoms and its associates among Bangladeshi older adults amid COVID-19 pandemic: findings from a cross-sectional study |
title_fullStr | Exploring depressive symptoms and its associates among Bangladeshi older adults amid COVID-19 pandemic: findings from a cross-sectional study |
title_full_unstemmed | Exploring depressive symptoms and its associates among Bangladeshi older adults amid COVID-19 pandemic: findings from a cross-sectional study |
title_short | Exploring depressive symptoms and its associates among Bangladeshi older adults amid COVID-19 pandemic: findings from a cross-sectional study |
title_sort | exploring depressive symptoms and its associates among bangladeshi older adults amid covid-19 pandemic: findings from a cross-sectional study |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7930102/ https://www.ncbi.nlm.nih.gov/pubmed/33661353 http://dx.doi.org/10.1007/s00127-021-02052-6 |
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