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Nature, prevalence and factors associated with depression among the elderly in a rural south Indian community

Background: Depression in old age is an important public health problem causing considerable morbidity and disability worldwide. There is a dearth of community studies from India investigating geriatric depression and its associated risk factors. This study aimed to establish the nature, prevalence...

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Autores principales: Rajkumar, A. P., Thangadurai, P., Senthilkumar, P., Gayathri, K., Prince, M., Jacob, K. S.
Formato: Texto
Lenguaje:English
Publicado: Cambridge University Press 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3100909/
https://www.ncbi.nlm.nih.gov/pubmed/19243657
http://dx.doi.org/10.1017/S1041610209008527
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author Rajkumar, A. P.
Thangadurai, P.
Senthilkumar, P.
Gayathri, K.
Prince, M.
Jacob, K. S.
author_facet Rajkumar, A. P.
Thangadurai, P.
Senthilkumar, P.
Gayathri, K.
Prince, M.
Jacob, K. S.
author_sort Rajkumar, A. P.
collection PubMed
description Background: Depression in old age is an important public health problem causing considerable morbidity and disability worldwide. There is a dearth of community studies from India investigating geriatric depression and its associated risk factors. This study aimed to establish the nature, prevalence and factors associated with geriatric depression in a rural south Indian community. Methods: We recruited 1000 participants aged over 65 years from Kaniyambadi block, Vellore, India. We assessed their socio-demographic profile, psychiatric morbidity, cognitive functioning, anthropometrics and disability status using the following structured assessment tools: Geriatric Mental State, Community Screening Instrument for Dementia, Modified CERAD 10 word list learning task, History and Aetiology Schedule Dementia Diagnosis and Subtype, WHO Disability Assessment Scale II, and Neuropsychiatric Inventory. We adopted a case control framework to study the factors associated with geriatric depression. Results: Prevalence of geriatric depression (ICD-10) within the previous one month was 12.7% (95% CI 10.64–14.76%). Low income (OR 1.78; 95% CI 1.08–2.91), experiencing hunger (OR 2.58; 95% CI 1.56–4.26), history of cardiac illnesses (OR 4.75; 95% CI 1.96–11.52), transient ischemic attack (OR 2.43; 95% CI 1.17–5.05), past head injury (OR 2.70; 95% CI 1.36–5.36) and diabetes (OR 2.33; 95% CI 1.15–4.72) increased the risk for geriatric depression after adjusting for other determinants using conditional logistic regression. Having more confidants (OR 0.13; 95% CI 0.06–0.26) was the significant protective factor. Age, female gender, cognitive impairment and disability status were not significantly associated with geriatric depression. DSM-IV diagnosis of major depression was significantly correlated with experiencing hunger, diabetes, transient ischemic attack, past head injury, more disability and less nourishment; having more friends was protective. Conclusions: Geriatric depression is prevalent in rural south India. Poverty and physical ill health are risk factors for depression among elderly while good social support is protective.
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spelling pubmed-31009092011-05-31 Nature, prevalence and factors associated with depression among the elderly in a rural south Indian community Rajkumar, A. P. Thangadurai, P. Senthilkumar, P. Gayathri, K. Prince, M. Jacob, K. S. Int Psychogeriatr Research Article Background: Depression in old age is an important public health problem causing considerable morbidity and disability worldwide. There is a dearth of community studies from India investigating geriatric depression and its associated risk factors. This study aimed to establish the nature, prevalence and factors associated with geriatric depression in a rural south Indian community. Methods: We recruited 1000 participants aged over 65 years from Kaniyambadi block, Vellore, India. We assessed their socio-demographic profile, psychiatric morbidity, cognitive functioning, anthropometrics and disability status using the following structured assessment tools: Geriatric Mental State, Community Screening Instrument for Dementia, Modified CERAD 10 word list learning task, History and Aetiology Schedule Dementia Diagnosis and Subtype, WHO Disability Assessment Scale II, and Neuropsychiatric Inventory. We adopted a case control framework to study the factors associated with geriatric depression. Results: Prevalence of geriatric depression (ICD-10) within the previous one month was 12.7% (95% CI 10.64–14.76%). Low income (OR 1.78; 95% CI 1.08–2.91), experiencing hunger (OR 2.58; 95% CI 1.56–4.26), history of cardiac illnesses (OR 4.75; 95% CI 1.96–11.52), transient ischemic attack (OR 2.43; 95% CI 1.17–5.05), past head injury (OR 2.70; 95% CI 1.36–5.36) and diabetes (OR 2.33; 95% CI 1.15–4.72) increased the risk for geriatric depression after adjusting for other determinants using conditional logistic regression. Having more confidants (OR 0.13; 95% CI 0.06–0.26) was the significant protective factor. Age, female gender, cognitive impairment and disability status were not significantly associated with geriatric depression. DSM-IV diagnosis of major depression was significantly correlated with experiencing hunger, diabetes, transient ischemic attack, past head injury, more disability and less nourishment; having more friends was protective. Conclusions: Geriatric depression is prevalent in rural south India. Poverty and physical ill health are risk factors for depression among elderly while good social support is protective. Cambridge University Press 2009-04 2009-04 /pmc/articles/PMC3100909/ /pubmed/19243657 http://dx.doi.org/10.1017/S1041610209008527 Text en Copyright © International Psychogeriatric Association 2009. The online version of this article is published within an Open Access environment subject to the conditions of the Creative Commons Attribution-NonCommercial-ShareAlike licence <http://creativecommons.org/licenses/by-nc-sa/2.5/>. The written permission of Cambridge University Press must be obtained for commercial re-use. http://creativecommons.org/licenses/by-nc-sa/2.5/ The online version of this article is published within an Open Access environment subject to the conditions of the Creative Commons Attribution-NonCommercial-ShareAlike licence <http://creativecommons.org/licenses/by-nc-sa/2.5/>. (http://creativecommons.org/licenses/by-nc-sa/2.5/>) The written permission of Cambridge University Press must be obtained for commercial re-use.
spellingShingle Research Article
Rajkumar, A. P.
Thangadurai, P.
Senthilkumar, P.
Gayathri, K.
Prince, M.
Jacob, K. S.
Nature, prevalence and factors associated with depression among the elderly in a rural south Indian community
title Nature, prevalence and factors associated with depression among the elderly in a rural south Indian community
title_full Nature, prevalence and factors associated with depression among the elderly in a rural south Indian community
title_fullStr Nature, prevalence and factors associated with depression among the elderly in a rural south Indian community
title_full_unstemmed Nature, prevalence and factors associated with depression among the elderly in a rural south Indian community
title_short Nature, prevalence and factors associated with depression among the elderly in a rural south Indian community
title_sort nature, prevalence and factors associated with depression among the elderly in a rural south indian community
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3100909/
https://www.ncbi.nlm.nih.gov/pubmed/19243657
http://dx.doi.org/10.1017/S1041610209008527
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