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By integrating ecological systems theory framework with innovative Bayesian spatial modeling, the methodology incorporates a holistic approach. The findings identify Telangana (RR1.382, 95%CI1.246\u20131.524), West Bengal (RR1.369, 95%CI1.249\u20131.482), Sikkim (RR1.286, 95%CI1.075\u20131.516), and Kerala (RR1.236, 95%CI1.109\u20131.356) as states with significantly higher frailty risks. Key predictors include living alone (RR5.76, 95%CI5.472\u20135.969), a history of falls (RR2.55, 95%CI2.501\u20132.592), and experiences of everyday discrimination (RR2.12, 95%CI 2.048\u20132.141). These results emphasize the critical need for state-specific interventions that account for the complex interactions of micro, meso, and macro-level determinants. The study advocates for the development of tailored strategies, highlighting the limitations of a one-size-fits-all approach in addressing frailty within India\u2019s heterogeneous aging population.<\/jats:p>","DOI":"10.1177\/01640275251360950","type":"journal-article","created":{"date-parts":[[2025,7,15]],"date-time":"2025-07-15T11:22:49Z","timestamp":1752578569000},"page":"127-138","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":1,"title":["Understanding Frailty in India: A State-Level Bayesian Spatial Model Study"],"prefix":"10.1177","volume":"48","author":[{"given":"Sayani","family":"Das","sequence":"first","affiliation":[{"name":"Bar-Ilan University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Himanshu","family":"Tolani","sequence":"additional","affiliation":[{"name":"UPES"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sutapa B.","family":"Neogi","sequence":"additional","affiliation":[{"name":"International Institute of Health Management Research"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2025,7,15]]},"reference":[{"key":"e_1_3_6_2_1","first-page":"100459","article-title":"Spatio-temporal modeling for malnutrition in tribal population among states of India a Bayesian approach. 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