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Identification of Depression Among Elderly During COVID-19
Elderly population is increasing, while the world has been facing the novel coronavirus (COVID-19), which causes a greater adverse impact among older population in various aspects of their lives, such as depression, daily routine disruption, illness, and social and emotional issues. The purpose of t...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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SAGE Publications
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8958696/ https://www.ncbi.nlm.nih.gov/pubmed/35333667 http://dx.doi.org/10.1177/21501319221085380 |
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author | Kurniawidjaja, Meily Susilowati, Indri Hapsari Erwandi, Dadan Kadir, Abdul Hasiholan, Bonardo Prayogo Al Ghiffari, Rijal |
author_facet | Kurniawidjaja, Meily Susilowati, Indri Hapsari Erwandi, Dadan Kadir, Abdul Hasiholan, Bonardo Prayogo Al Ghiffari, Rijal |
author_sort | Kurniawidjaja, Meily |
collection | PubMed |
description | Elderly population is increasing, while the world has been facing the novel coronavirus (COVID-19), which causes a greater adverse impact among older population in various aspects of their lives, such as depression, daily routine disruption, illness, and social and emotional issues. The purpose of this study was to assess the elderly’s depression during the COVID-19 pandemic, and the risk factors including socio-demographic, physical and psychosocial conditions, as well as family support. The method used was cross-sectional design, with a total sampling of 457 participants. The measuring instruments used were ADL (Activities of Daily Living Scale) and IADL (Lowton and Brody Instrumental Activities of Daily Living Scale) for physical activities assessment, APGAR (Adaptability, Participation, Growth, Affection, Resolution) for family support function assessment, and Geriatric Depression Scale (GDS) for depression level measurement, with additional questions for psychosocial assessment. 212 elderlies (46.4%) were found with no depression tendency, 183 elderlies (40%) had a tendency of depression, and 62 elderlies (13.6%) had depression. These depression issues were significantly linked to retirement and income among elderly, dependency, fitness and health status, family and social support, and sources of funds. In the presence of depression, control measures for social, health, and psychosocial support must be implemented in order to minimize its impact among the elderly. |
format | Online Article Text |
id | pubmed-8958696 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-89586962022-03-29 Identification of Depression Among Elderly During COVID-19 Kurniawidjaja, Meily Susilowati, Indri Hapsari Erwandi, Dadan Kadir, Abdul Hasiholan, Bonardo Prayogo Al Ghiffari, Rijal J Prim Care Community Health Original Research Elderly population is increasing, while the world has been facing the novel coronavirus (COVID-19), which causes a greater adverse impact among older population in various aspects of their lives, such as depression, daily routine disruption, illness, and social and emotional issues. The purpose of this study was to assess the elderly’s depression during the COVID-19 pandemic, and the risk factors including socio-demographic, physical and psychosocial conditions, as well as family support. The method used was cross-sectional design, with a total sampling of 457 participants. The measuring instruments used were ADL (Activities of Daily Living Scale) and IADL (Lowton and Brody Instrumental Activities of Daily Living Scale) for physical activities assessment, APGAR (Adaptability, Participation, Growth, Affection, Resolution) for family support function assessment, and Geriatric Depression Scale (GDS) for depression level measurement, with additional questions for psychosocial assessment. 212 elderlies (46.4%) were found with no depression tendency, 183 elderlies (40%) had a tendency of depression, and 62 elderlies (13.6%) had depression. These depression issues were significantly linked to retirement and income among elderly, dependency, fitness and health status, family and social support, and sources of funds. In the presence of depression, control measures for social, health, and psychosocial support must be implemented in order to minimize its impact among the elderly. SAGE Publications 2022-03-25 /pmc/articles/PMC8958696/ /pubmed/35333667 http://dx.doi.org/10.1177/21501319221085380 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Research Kurniawidjaja, Meily Susilowati, Indri Hapsari Erwandi, Dadan Kadir, Abdul Hasiholan, Bonardo Prayogo Al Ghiffari, Rijal Identification of Depression Among Elderly During COVID-19 |
title | Identification of Depression Among Elderly During COVID-19 |
title_full | Identification of Depression Among Elderly During COVID-19 |
title_fullStr | Identification of Depression Among Elderly During COVID-19 |
title_full_unstemmed | Identification of Depression Among Elderly During COVID-19 |
title_short | Identification of Depression Among Elderly During COVID-19 |
title_sort | identification of depression among elderly during covid-19 |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8958696/ https://www.ncbi.nlm.nih.gov/pubmed/35333667 http://dx.doi.org/10.1177/21501319221085380 |
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