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Geriatric Depression and its Correlates among South Indian Urbans
BACKGROUND: Geriatric depression is a growing global problem, expected to be the leading cause of mortality in the next decade. We attempted to explore the previously unidentified burden of depression and its correlates amongst South Indian elderly residing in an urban area. METHODS: A cross section...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2018
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6690607/ https://www.ncbi.nlm.nih.gov/pubmed/31406629 http://dx.doi.org/10.4172/2167-1044.1000314 |
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author | Konda, Poojitha Reddy Sharma, Pawan Kumar Gandhi, Atul R Ganguly, Enakshi |
author_facet | Konda, Poojitha Reddy Sharma, Pawan Kumar Gandhi, Atul R Ganguly, Enakshi |
author_sort | Konda, Poojitha Reddy |
collection | PubMed |
description | BACKGROUND: Geriatric depression is a growing global problem, expected to be the leading cause of mortality in the next decade. We attempted to explore the previously unidentified burden of depression and its correlates amongst South Indian elderly residing in an urban area. METHODS: A cross sectional study including 100 community dwelling urban elders aged 60 years and older was conducted. A predesigned questionnaire was used to collect data on sociodemographic variables, chronic health conditions, changes in vision and cognition, addictions, and medication usage. Depression was assessed using Geriatric Depression Scale. Other measurements included anthropometry and blood pressure. Logistic regression was done to identify the independently associated correlates of depression. RESULTS: The prevalence of geriatric depression was 23%. 15.4% men and 31.2% women had depression. On logistic regression, the independent correlates of depression were living single (OR:4.26; 95% CI:1.06–17.09), poor self-rated health (OR:12.09; 95% CI:1.41–103.14), bedridden (OR:5.29; 95% CI:1.21–23.04) and osteoarthritis (OR: 4.91; 95% CI:1.39–17.28). CONCLUSION: The burden of depression in our urban geriatric population was moderate. Several correlates were positively associated. While addressing geriatric morbidity, screening for elderly depression, as well as exploration and management of related factors would be of significance. |
format | Online Article Text |
id | pubmed-6690607 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
record_format | MEDLINE/PubMed |
spelling | pubmed-66906072019-08-12 Geriatric Depression and its Correlates among South Indian Urbans Konda, Poojitha Reddy Sharma, Pawan Kumar Gandhi, Atul R Ganguly, Enakshi J Depress Anxiety Article BACKGROUND: Geriatric depression is a growing global problem, expected to be the leading cause of mortality in the next decade. We attempted to explore the previously unidentified burden of depression and its correlates amongst South Indian elderly residing in an urban area. METHODS: A cross sectional study including 100 community dwelling urban elders aged 60 years and older was conducted. A predesigned questionnaire was used to collect data on sociodemographic variables, chronic health conditions, changes in vision and cognition, addictions, and medication usage. Depression was assessed using Geriatric Depression Scale. Other measurements included anthropometry and blood pressure. Logistic regression was done to identify the independently associated correlates of depression. RESULTS: The prevalence of geriatric depression was 23%. 15.4% men and 31.2% women had depression. On logistic regression, the independent correlates of depression were living single (OR:4.26; 95% CI:1.06–17.09), poor self-rated health (OR:12.09; 95% CI:1.41–103.14), bedridden (OR:5.29; 95% CI:1.21–23.04) and osteoarthritis (OR: 4.91; 95% CI:1.39–17.28). CONCLUSION: The burden of depression in our urban geriatric population was moderate. Several correlates were positively associated. While addressing geriatric morbidity, screening for elderly depression, as well as exploration and management of related factors would be of significance. 2018-08-14 2018 /pmc/articles/PMC6690607/ /pubmed/31406629 http://dx.doi.org/10.4172/2167-1044.1000314 Text en http://creativecommons.org/licenses/by/4.0/ Konda PR, 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. |
spellingShingle | Article Konda, Poojitha Reddy Sharma, Pawan Kumar Gandhi, Atul R Ganguly, Enakshi Geriatric Depression and its Correlates among South Indian Urbans |
title | Geriatric Depression and its Correlates among South Indian Urbans |
title_full | Geriatric Depression and its Correlates among South Indian Urbans |
title_fullStr | Geriatric Depression and its Correlates among South Indian Urbans |
title_full_unstemmed | Geriatric Depression and its Correlates among South Indian Urbans |
title_short | Geriatric Depression and its Correlates among South Indian Urbans |
title_sort | geriatric depression and its correlates among south indian urbans |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6690607/ https://www.ncbi.nlm.nih.gov/pubmed/31406629 http://dx.doi.org/10.4172/2167-1044.1000314 |
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