ArticleScientific reports2022
An association between multi-morbidity and depressive symptoms among Indian adults based on propensity score matching.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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17 citing papers in PubMed, 29 citations in OpenAlex.
- Rumination and depressive symptoms among aging Veterans: The moderating role of social support.Journal of military, veteran and family health · 2026Article
- Age-based discrimination and healthcare utilization among older adults in India: a sequential mediation model with rural-urban differences.BMC geriatrics · 2026Article
- Depression and Multimorbidity among Older Indians Residing in Front-Runner, Achiever and Aspirant States: Insight from Longitudinal Ageing Study in India (LASI) - Wave I.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine · 2026Article
- Perceived Social Support and Well-Being: Mediation and Buffering of the Stress-Depression Link in Rural Older Adults.Healthcare (Basel, Switzerland) · 2026Article
- Body temperature correlates with depressive symptom severity: analysis and extension of prior findings in observational cohorts with more than 19,000 participants.Frontiers in psychiatry · 2026Article
- Integrative neuroimmunology reveals leukocyte-expressing PAX6 as a critical predictor of major depressive disorder.Translational psychiatry · 2025Article
- Factors associated with self-reported diagnosis of depression in Kenya: insights from 2022 Demographic and Health Survey.BMC public health · 2025Article
- Age- and sex-disaggregated disease burden among the older persons in India.BMC geriatrics · 2024Article
- Article
- Association of perceived childhood socio-economic status and health with depressive symptoms among middle-aged and older adults in India: using data from LASI Wave I, 2017-2018.BMC geriatrics · 2024Article
- Interaction between depressive symptoms and obesity-related anthropometric measures on multimorbidity among community-dwelling older adults: evidence from India.BMC public health · 2024Article
- Decomposing the rural-urban differences in depression among multimorbid older patients in India: evidence from a cross-sectional study.BMC psychiatry · 2024Article
- 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
- Association between physical multimorbidity and common mental health disorders in rural and urban Malawian settings: Preliminary findings from Healthy Lives Malawi long-term conditions survey.PLOS global public health · 2024Article
- Cardiometabolic multimorbidity in Mexican adults: a cross-sectional analysis of a national survey.Frontiers in medicine · 2024Article
- The Integration of Clinical Decision Support Systems Into Telemedicine for Patients With Multimorbidity in Primary Care Settings: Scoping Review.Journal of medical Internet research · 2023Article
- Overview of multimorbidity research in India: A scoping review.Journal of multimorbidity and comorbidityReview
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3 authors at 1 institution in 1 country.
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Abstract
Keeping in view the cascade of disturbances caused by the co-existence of multi-morbidity and depression among aged population, this study aims to ascertain the independent impact of multi-morbidity as a risk factor for the development of depressive symptoms among adults living in India. The present study utilizes data from the nationally representative survey "Longitudinal Ageing Study in India" (LASI, Wave-1, 2017-2018). The eligible sample size was 62,244 adults aged 45 years and above. Descriptive statistics along with bivariate analysis was used to understand the prevalence of depressive symptoms. Further, binary logistic regression and Propensity Score Matching (PSM) methods were applied to examine the independent effect of multi-morbidity on depressive symptoms while controlling the selected background characteristics. Overall, around one-third respondents had at least one chronic disease and one-fifth had multi-morbidity. The most prevalent chronic disease reported in the sampled population was hypertension followed by diabetes and joint disease. It is observed that older adults with multiple chronic diseases had 77% higher odds of having depressive symptoms as compared to those without a history of chronic disease in the multivariable logistic regression model. Results obtained from PSM indicate that the risk of having depressive symptoms was 3.7% higher for adults with multi- morbidity. Depressive symptom was identified to be associated with a wider range of multiple physical health problems and people with multi-morbidity are at a higher risk of having depressive symptoms. It is imperative that multi-morbidity can be used as a screener for identifying people with depressive symptoms.
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