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Prevalence of depression among the elderly (60 years and above) population in India, 1997–2016: a systematic review and meta-analysis
BACKGROUND: There is lack of information on the magnitude of depression among elderly population in India. This systematic review and meta-analysis aimed to estimate the prevalence of depression among elderly population in India. METHODS: PubMed, Scopus, Web of Science, Embase, PsycINFO, IndMed, and...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6598256/ https://www.ncbi.nlm.nih.gov/pubmed/31248394 http://dx.doi.org/10.1186/s12889-019-7136-z |
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author | Pilania, Manju Yadav, Vikas Bairwa, Mohan Behera, Priyamadhaba Gupta, Shiv Dutt Khurana, Hitesh Mohan, Viswanathan Baniya, Girish Poongothai, S. |
author_facet | Pilania, Manju Yadav, Vikas Bairwa, Mohan Behera, Priyamadhaba Gupta, Shiv Dutt Khurana, Hitesh Mohan, Viswanathan Baniya, Girish Poongothai, S. |
author_sort | Pilania, Manju |
collection | PubMed |
description | BACKGROUND: There is lack of information on the magnitude of depression among elderly population in India. This systematic review and meta-analysis aimed to estimate the prevalence of depression among elderly population in India. METHODS: PubMed, Scopus, Web of Science, Embase, PsycINFO, IndMed, and Google Scholar were searched to identify articles reported community-based prevalence of depression among elderly population using screening tools. This study included the articles published during the years 1997 to 2016. Studies conducted in the special population groups, hospitals, reported only a subcategory of depression, and not specified the screening tool were excluded. Data were extracted from published reports and any missing information was requested from authors. Estimates were pooled using random-effects meta-analyses. Subgroup and sensitivity analysis were performed. The publication bias was evaluated by using Egger’s test and visual inspection of the symmetry in funnel plots. RESULTS: Fifty-one studies from 16 States of India were included as 56 datasets, which estimated the prevalence of depression among Indian elderly population as 34.4% (95% CI: 29.3–39.7). In sub-group analysis, the pooled prevalence was higher among females, rural populations, and in the eastern part of the country. Studies using non-probability sampling, and GDS and CES-D screening tool showed higher prevalence. Exclusion of the studies with sample size less than 100 and low-quality studies (score < 5/8) had no effect on the estimate of the prevalence. The studies that excluded dementia before assessment of depression had lower prevalence. CONCLUSION: About one third elderly population of India suffered from depression with female preponderance. The estimates varied with type of study tool, geographic region, sampling methods, and presence of dementia. The pooled estimate should be interpreted with caution as the studies included in this review had varied methodological approach and screening tools. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12889-019-7136-z) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6598256 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-65982562019-07-11 Prevalence of depression among the elderly (60 years and above) population in India, 1997–2016: a systematic review and meta-analysis Pilania, Manju Yadav, Vikas Bairwa, Mohan Behera, Priyamadhaba Gupta, Shiv Dutt Khurana, Hitesh Mohan, Viswanathan Baniya, Girish Poongothai, S. BMC Public Health Research Article BACKGROUND: There is lack of information on the magnitude of depression among elderly population in India. This systematic review and meta-analysis aimed to estimate the prevalence of depression among elderly population in India. METHODS: PubMed, Scopus, Web of Science, Embase, PsycINFO, IndMed, and Google Scholar were searched to identify articles reported community-based prevalence of depression among elderly population using screening tools. This study included the articles published during the years 1997 to 2016. Studies conducted in the special population groups, hospitals, reported only a subcategory of depression, and not specified the screening tool were excluded. Data were extracted from published reports and any missing information was requested from authors. Estimates were pooled using random-effects meta-analyses. Subgroup and sensitivity analysis were performed. The publication bias was evaluated by using Egger’s test and visual inspection of the symmetry in funnel plots. RESULTS: Fifty-one studies from 16 States of India were included as 56 datasets, which estimated the prevalence of depression among Indian elderly population as 34.4% (95% CI: 29.3–39.7). In sub-group analysis, the pooled prevalence was higher among females, rural populations, and in the eastern part of the country. Studies using non-probability sampling, and GDS and CES-D screening tool showed higher prevalence. Exclusion of the studies with sample size less than 100 and low-quality studies (score < 5/8) had no effect on the estimate of the prevalence. The studies that excluded dementia before assessment of depression had lower prevalence. CONCLUSION: About one third elderly population of India suffered from depression with female preponderance. The estimates varied with type of study tool, geographic region, sampling methods, and presence of dementia. The pooled estimate should be interpreted with caution as the studies included in this review had varied methodological approach and screening tools. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12889-019-7136-z) contains supplementary material, which is available to authorized users. BioMed Central 2019-06-27 /pmc/articles/PMC6598256/ /pubmed/31248394 http://dx.doi.org/10.1186/s12889-019-7136-z Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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. |
spellingShingle | Research Article Pilania, Manju Yadav, Vikas Bairwa, Mohan Behera, Priyamadhaba Gupta, Shiv Dutt Khurana, Hitesh Mohan, Viswanathan Baniya, Girish Poongothai, S. Prevalence of depression among the elderly (60 years and above) population in India, 1997–2016: a systematic review and meta-analysis |
title | Prevalence of depression among the elderly (60 years and above) population in India, 1997–2016: a systematic review and meta-analysis |
title_full | Prevalence of depression among the elderly (60 years and above) population in India, 1997–2016: a systematic review and meta-analysis |
title_fullStr | Prevalence of depression among the elderly (60 years and above) population in India, 1997–2016: a systematic review and meta-analysis |
title_full_unstemmed | Prevalence of depression among the elderly (60 years and above) population in India, 1997–2016: a systematic review and meta-analysis |
title_short | Prevalence of depression among the elderly (60 years and above) population in India, 1997–2016: a systematic review and meta-analysis |
title_sort | prevalence of depression among the elderly (60 years and above) population in india, 1997–2016: a systematic review and meta-analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6598256/ https://www.ncbi.nlm.nih.gov/pubmed/31248394 http://dx.doi.org/10.1186/s12889-019-7136-z |
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