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Open Access 01-12-2019 | Affective Disorder | Research article

Prevalence of depression among the elderly (60 years and above) population in India, 1997–2016: a systematic review and meta-analysis

Authors: Manju Pilania, Vikas Yadav, Mohan Bairwa, Priyamadhaba Behera, Shiv Dutt Gupta, Hitesh Khurana, Viswanathan Mohan, Girish Baniya, S. Poongothai

Published in: BMC Public Health | Issue 1/2019

Abstract

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.

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Title: Prevalence of depression among the elderly (60 years and above) population in India, 1997–2016: a systematic review and meta-analysis
Authors: Manju Pilania
Vikas Yadav
Mohan Bairwa
Priyamadhaba Behera
Shiv Dutt Gupta
Hitesh Khurana
Viswanathan Mohan
Girish Baniya
S. Poongothai
Publication date: 01-12-2019
Publisher: BioMed Central
Keywords: Affective Disorder
Affective Disorder
Published in: BMC Public Health / Issue 1/2019
Electronic ISSN: 1471-2458
DOI: https://doi.org/10.1186/s12889-019-7136-z

At a glance: The STEP trials

Springer Medicine

Prevalence of depression among the elderly (60 years and above) population in India, 1997–2016: a systematic review and meta-analysis

Abstract

Background

Methods

Results

Conclusion

At a glance: The STEP trials

Springer Medicine

Abstract

Background

Methods

Results

Conclusion

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Other articles of this Issue 1/2019

How to increase public participation in advance care planning: findings from a World Café to elicit community group perspectives

Evaluating China’s mental health policy on local-level promotion and implementation: a case study of Liuyang Municipality

Post - effects of obstetric fistula in Uganda; a case study of fistula survivors in KITOVU mission hospital (MASAKA), Uganda

Identification of community-dwelling older adults at risk of frailty using the PERSSILAA screening pathway: a methodological guide and results of a large-scale deployment in the Netherlands

A preschool-based intervention for Early Childhood Education and Care (ECEC) teachers in promoting healthy eating and physical activity in toddlers: study protocol of the cluster randomized controlled trial PreSchool@HealthyWeight

Supporting carers of stroke survivors to reduce carer burden: development of the Preparing is Caring intervention using Intervention Mapping