Evidence map›Paper›PMID 35843255›Full record

ArticleThe lancet. Psychiatry2022

Sub-national patterns and correlates of depression among adults aged 45 years and older: findings from wave 1 of the Longitudinal Ageing Study in India.

Arokiasamy Perianayagam, Matthew Prina, Y Selvamani, Dipika Gudekar, Supriya Salvi, Mathew Varghese, Rakhi Dandona

Open access · greenAbstract read
In one paragraph

Article in The lancet. Psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
6.3field-weighted citation impact, top 3% of its field
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

26 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 5 institutions in 3 countries.

Arokiasamy PerianayagamInternational Institute for Population Sciences, Mumbai, India; National Council of Applied Economic Research, Delhi, India.
Matthew PrinaDepartment of Health Service and Population Research, Institute of Psychiatry, Psychology & Neuroscience, Kings College London, London, UK.
Y SelvamaniInternational Institute for Population Sciences, Mumbai, India.
Dipika GudekarInternational Institute for Population Sciences, Mumbai, India.
Supriya SalviInternational Institute for Population Sciences, Mumbai, India.
Mathew VargheseDepartment of Psychiatry, National Institute of Mental Health Sciences and Neurosciences, Bengaluru, India.
Rakhi DandonaPublic Health Foundation of India, Gurugram, India; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA. Electronic address: rakhi.dandona@phfi.org.
International Institute for Population Sciences · INKing's College London · GBNational Council of Applied Economic Research · INNational Institute of Mental Health and Neurosciences · INPublic Health Foundation of India · IN

Funding

The Longitudinal Aging Study in IndiaR01AG042778 · NIA · HARVARD SCHOOL OF PUBLIC HEALTH · PI AROKIASAMY, PERIANAYAGAM, BLOOM, DAVID E · 2013 to 2019
$9.0M
NIA NIH HHS R01 AG042778
6 · The paper itself

Abstract

backgroundDepression is a major public health challenge linked with several poor health outcomes and disabilities among adults aged 45 years and older in India. We aimed to describe the prevalence of depression and its association with a variety of sociodemographic correlates and co-existing health conditions for this age group in India and its states.

methodsIn this prospective cohort study, data from wave 1 (baseline) of the Longitudinal Ageing Study in India were used to estimate the national and subnational state level age-standardised prevalence of depression-major depressive episodes-using the internationally validated Composite International Diagnostic Interview-Short Form (CIDI-SF) scale. Hierarchical mixed effect multivariate logistic regression models were used to study the sociodemographic correlates and co-existing health conditions of major depressive episodes among the nationally representative sample of 72 250 adults aged 45 years and older from 35 states or union territories (except the state of Sikkim). Associations between depression and self-rated health, co-morbid conditions, functional health, and life satisfaction measures were also examined.

findingsA total of 40 335 (58·3%) females and 29 407 (41·7%) males aged 45 to 116 years (median age 58 years) participated. The overall age-standardised prevalence of depression based on CIDI-SF scale was 5·7% (95% CI 5·5-5·8) compared with 0·5% (0·5-0·6) self-reported prevalence of depression among adults aged 45 years and older in India. Wide sub-national variations were seen in depression prevalence, ranging from 0·8% (95% CI 0·3-1·3) in Mizoram state to 12·9% (11·6-14·2) in Madhya Pradesh. Prevalence was higher in females (6·3% [95% CI 6·1-6·6] vs 4·3% [4·1-4·6]) for India, and this higher prevalence was more pronounced in some of the northern states. The risk of depression was higher in those residing in rural areas, widowed, with no or low education, and in the poorest quintile. Depression showed a strong positive association with poor self-rated health (OR 2·39 [95% CI 2·21-2·59]; p<0·0001), with one or more limitations in the activities of daily living (ADL; OR 1·60 [1·46-1·75]; p<0·0001), instrumental ADL limitations (OR 1·51 [1·40-1·64]; p<0·0001), and low cognitive judgment of life satisfaction (OR 1·94 [95% CI 1·78-2·10]; p<0·0001).

interpretationDespite the substantial burden, depression remains undiagnosed and strongly linked with poor health and wellbeing outcomes in adults aged 45 years and older in India. The ageing population of India and the subnational variations amplify the implications of this new evidence to address the substantial gaps in prevention and treatment of depression.

fundingLASI was funded by the Ministry of Health and Family Welfare, Government of India, the National Institute of Ageing, USA and the United Nations Population Fund, India.

Indexed as

DepressionMajor Depressive DisorderAgedAged, 80 and overFemaleHumansIndiaLongitudinal StudiesMaleMiddle AgedPrevalenceProspective StudiesRisk Factors

Identifiers

PMID35843255
PMCPMC9375859
OpenAlexW4285490148

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.