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.
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.
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26 citing papers in PubMed, 43 citations in OpenAlex.
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- Differences in protective resources and risks for depressive symptoms among recent widows in the United States and India.American journal of epidemiology · 2026Article
- Urban-rural differences in depressive symptoms and related factors among employed middle-aged and older adults: a national cross-sectional study in China.BMC public health · 2026Article
- Application of machine learning models for predicting depression among older adults with non-communicable diseases in India.Scientific reports · 2025Article
- Examining the association between toilet access and major depression among older adults in India: a cross-sectional analysis of the Longitudinal Aging Study in India from 2017 to 2018.Age and ageing · 2025Article
- Community-level mental health screening and referral using task-sharing with student volunteers in Kerala, India: a scalable model for low and middle income countries.BMC psychiatry · 2025Article
- A pilot cluster-controlled trial of interventions to improve detection of depression in primary healthcare in Ethiopia.BMC medicine · 2025Article
- Utilizing machine learning to identify fall predictors in India's aging population: findings from the LASI.BMC geriatrics · 2025Article
- Residential Differences and Depression Among Older Adults With Dual Sensory Loss.JAMA otolaryngology-- head & neck surgery · 2025Article
- Physiological, Psychological, and Functional Health Determinants of Depressive Symptoms Among the Elderly in India: Evaluation of Classification Performance of XGBoost Models.Indian journal of psychological medicine · 2025Article
- Article
- Decomposing rural-urban differences in depression prevalence: a cross-sectional analysis of two community-based southern Indian cohorts.BMJ public health · 2024Article
- Public funding and young children vaccination coverage: Evidence from Socialist-Oriented Market Economy.Health economics review · 2024Article
- Association between household air pollution due to unclean fuel use and depression among older adults in India: A cross-sectional study.Indian journal of psychiatry · 2024Article
- Factors associated with depressive symptoms among cancer patients: a nationwide cross-sectional study.BMC public health · 2024Article
- Characterizing Multimorbidity Prevalence and Adverse Outcomes in Ethnically and Culturally Diverse Sub-Populations in India: Gaps, Opportunities, and Future Directions.International journal of environmental research and public health · 2024Review
- Determinants of depression in Indian tribal adults: Evidence from the Longitudinal Ageing Study in India Wave-I survey.The Indian journal of medical research · 2024Article
- Does Helping Others Always Benefit Health? Longitudinal Evidence on the Relationship between Helping Behavior and Depression: The Mediating Role of Life Satisfaction and the Moderating Effect of IADL.Depression and anxiety · 2024Article
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7 authors at 5 institutions in 3 countries.
Funding
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.
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