Evidence map›Paper›PMID 41296587›Full record

SynthesisThe Indian journal of medical research2025

Prevalence of depressive symptoms, anxiety, sleep & substance use disorders among older adults in LMICs: A systematic review & meta-analysis.

Devi Das, Madhurima Khasnobis, Susmita Dutta, Suchismita Hoda, Arkaprovo Pal, Neha Dahiya, Asim Saha, Arun Kandasamy, Bhavani Shankara Bagepally, Martin Kraepelien and 3 more

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in The Indian journal of medical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
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

13 authors.

Devi DasDepartment of Mental Health & Ageing, ICMR-Centre for Ageing & Mental Health, Kolkata, West Bengal, India.
Madhurima KhasnobisDepartment of Mental Health & Ageing, ICMR-Centre for Ageing & Mental Health, Kolkata, West Bengal, India.
Susmita DuttaDepartment of Mental Health & Ageing, ICMR-Centre for Ageing & Mental Health, Kolkata, West Bengal, India.
Suchismita HodaDepartment of Mental Health & Ageing, ICMR-Centre for Ageing & Mental Health, Kolkata, West Bengal, India.
Arkaprovo PalDepartment of Mental Health & Ageing, ICMR-Centre for Ageing & Mental Health, Kolkata, West Bengal, India.
Neha DahiyaDivision of Mental Health, Indian Council of Medical Research, New Delhi, India.
Asim SahaDepartment of Mental Health & Ageing, ICMR-Centre for Ageing & Mental Health, Kolkata, West Bengal, India.
Arun KandasamyDepartment of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India.
Bhavani Shankara BagepallyHealth Technology Assessment Resource Centre, ICMR-National Institute of Epidemiology, Chennai, Tamil Nadu, India.
Martin KraepelienDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Indranil SahaDepartment of Mental Health & Ageing, ICMR-Centre for Ageing & Mental Health, Kolkata, West Bengal, India.
Christopher SundströmDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Amit ChakrabartiDepartment of Mental Health & Ageing, ICMR-Centre for Ageing & Mental Health, Kolkata, West Bengal, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background & objectives The global population is ageing, with an increase in older adults in lower middle-income countries (LMICs). Fragmented data from LMICs indicate the need for the estimation of mental health disorders to guide policies, resource allocation, and sustainable mental health strategies. This systematic review and meta-analysis calculated the overall prevalence of depressive, anxiety, sleep and substance use disorders in older adults aged ≥60 yr in LMICs. Methods The protocol was registered in PROSPERO (CRD42024503470). A systematic search across PubMed, Scopus, and Cochrane Central was conducted (Dec 2023-Jan 2024), focusing on cross-sectional studies published in English. Quality assessments were conducted using the AXIS tool. A random-effects model was used to estimate pooled prevalence; heterogeneity was calculated using I2 statistics. Results Out of 4,204 articles, 92 studies were included, with the majority from India (n=29), Iran (n=11) and Nigeria (n=9). Pooled prevalence of depressive disorders was 38.76 per cent [95% confidence interval (CI): 34.25-43.28%; n=76; I2=96.89%], sleep disorders 33.58 per cent (95% CI: 27.03-40.14%; n=20; I2=95.76%), anxiety disorders 27.76 per cent (95% CI: 13.74-41.79%; n=13; I2=96.62%), and substance use disorders 26.36 per cent (95% CI: 14.23-38.49%; n=9; I2=96.86%). Depressive disorders were the highest in Africa, while sleep, anxiety, and substance use disorders were at higher rates in Asia. Interpretation & conclusions The findings emphasise the high burden of mental health disorders among older adults in LMICs, which indicate the need for strategic management. Early diagnosis, treatment, and integration of mental health into primary care, along with capacity building of the health care workers, are urgently needed.

Indexed as

AnxietyAnxiety DisordersDepressionSleep Wake DisordersSubstance-Related DisordersAgedDeveloping CountriesHumansIndiaIranMiddle AgedNigeriaPrevalenceAnxiety disordersdepressive disorderslower middle-income countriesolder adultssleep disorderssubstance use disorders

Identifiers

PMID41296587
PMCPMC12744552

What Socratic holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

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 Socratic graph.