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Understanding Frailty in India: A State-Level Bayesian Spatial Model Study
Sayani Das1, Himanshu Tolani2, Sutapa B Neogi3
1The Louis and Gabi Weisfeld School of Social Work, Bar-Ilan University, Ramat Gan, Israel.
Research on Aging
|July 15, 2025
Summary
This study reveals higher frailty risks in older adults in Telangana, West Bengal, Sikkim, and Kerala. Key predictors include living alone, falls history, and discrimination, necessitating tailored interventions for India's diverse aging population.
Area of Science:
- Gerontology
- Public Health
- Sociology
Background:
- Frailty is a significant concern for aging populations globally.
- Understanding regional variations and predictors of frailty is crucial for targeted interventions in India.
Purpose of the Study:
- To investigate state-specific frailty risks among older adults in India.
- To identify common predictors of frailty across different regions.
- To inform the development of tailored public health strategies for aging populations.
Main Methods:
- Utilized data from the Longitudinal Ageing Study in India (LASI) wave 1 (n=27,540).
- Employed Bayesian spatial modeling integrated with the ecological systems theory framework.
- Analyzed frailty risks and predictors at the state level for individuals aged 60 and above.
Main Results:
- Identified significantly higher frailty risks in Telangana, West Bengal, Sikkim, and Kerala.
- Key predictors of frailty include living alone, a history of falls, and experiencing everyday discrimination.
- Demonstrated significant variations in frailty risks across Indian states.
Conclusions:
- A one-size-fits-all approach is inadequate for addressing frailty in India's diverse older adult population.
- State-specific interventions are essential, considering micro, meso, and macro-level determinants.
- Future strategies should focus on tailored approaches to mitigate frailty risks.
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