Evidence map›Paper›PMID 31248394›Full record

SynthesisBMC public health2019

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

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

Abstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 106 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
106citing papers in PubMed, 8 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

106 citing papers in PubMed, 8 syntheses or guidelines pooled it.

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  18. SheVari4Food & nutrition research · 2026
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46 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Manju PilaniaRUHS College of Medical Sciences, Jaipur, India.
Vikas YadavAtal Bihari Vajpayee Government Medical College, Vidisha, India.
Mohan BairwaIIHMR University, Jaipur, India.
Priyamadhaba BeheraDepartment of Community Medicine and Family Medicine, AIIMS, Bhubaneshwar, India. priya.madhaba@gmail.com.ORCID http://orcid.org/0000-0001-9318-4483
Shiv Dutt GuptaIIHMR University, Jaipur, India.
Hitesh KhuranaPt B D Sharma Postgraduate Institute of Medical Sciences, Rohtak, India.
Viswanathan MohanMadras Diabetes Research Foundation, Chennai, India.
Girish BaniyaSP Medical College, Bikaner, India.
S PoongothaiMadras Diabetes Research Foundation, Chennai, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere 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.

methodsPubMed, 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.

resultsFifty-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.

conclusionAbout 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.

Indexed as

AgedDepressionHumansIndiaMiddle AgedPrevalenceDepressionElderlyIndiaMeta-analysisPrevalenceSystematic review

Identifiers

PMID31248394
PMCPMC6598256

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.