Understanding Frailty in India: A State-Level Bayesian Spatial Model Study.

IF 1.8 3区社会学 Q2 GERONTOLOGY

Research on Aging Pub Date : 2025-07-15 DOI:10.1177/01640275251360950

Sayani Das, Himanshu Tolani, Sutapa B Neogi

{"title":"Understanding Frailty in India: A State-Level Bayesian Spatial Model Study.","authors":"Sayani Das, Himanshu Tolani, Sutapa B Neogi","doi":"10.1177/01640275251360950","DOIUrl":null,"url":null,"abstract":"<p><p>This study investigates state-specific frailty risks and common predictors among older adults in India, using data from the Longitudinal Ageing Study in India (LASI) wave 1, comprising 27,540 individuals aged 60 and above. By integrating ecological systems theory framework with innovative Bayesian spatial modeling, the methodology incorporates a holistic approach. The findings identify Telangana (RR1.382, 95%CI1.246-1.524), West Bengal (RR1.369, 95%CI1.249-1.482), Sikkim (RR1.286, 95%CI1.075-1.516), and Kerala (RR1.236, 95%CI1.109-1.356) as states with significantly higher frailty risks. Key predictors include living alone (RR5.76, 95%CI5.472-5.969), a history of falls (RR2.55, 95%CI2.501-2.592), and experiences of everyday discrimination (RR2.12, 95%CI 2.048-2.141). 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's heterogeneous aging population.</p>","PeriodicalId":47983,"journal":{"name":"Research on Aging","volume":" ","pages":"1640275251360950"},"PeriodicalIF":1.8000,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research on Aging","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1177/01640275251360950","RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GERONTOLOGY","Score":null,"Total":0}

引用次数: 0

Abstract

This study investigates state-specific frailty risks and common predictors among older adults in India, using data from the Longitudinal Ageing Study in India (LASI) wave 1, comprising 27,540 individuals aged 60 and above. By integrating ecological systems theory framework with innovative Bayesian spatial modeling, the methodology incorporates a holistic approach. The findings identify Telangana (RR1.382, 95%CI1.246-1.524), West Bengal (RR1.369, 95%CI1.249-1.482), Sikkim (RR1.286, 95%CI1.075-1.516), and Kerala (RR1.236, 95%CI1.109-1.356) as states with significantly higher frailty risks. Key predictors include living alone (RR5.76, 95%CI5.472-5.969), a history of falls (RR2.55, 95%CI2.501-2.592), and experiences of everyday discrimination (RR2.12, 95%CI 2.048-2.141). 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's heterogeneous aging population.

查看原文本刊更多论文

理解印度的脆弱性：一个邦级贝叶斯空间模型研究。

本研究使用印度纵向老龄化研究（LASI）第1波的数据，调查了印度老年人中特定州的虚弱风险和常见预测因素，该研究包括27,540名60岁及以上的个体。通过将生态系统理论框架与创新的贝叶斯空间建模相结合，该方法结合了整体方法。研究结果确定泰伦甘纳邦（RR1.382, 95%CI1.246-1.524）、西孟加拉邦（RR1.369, 95%CI1.249-1.482）、锡金邦（RR1.286, 95%CI1.075-1.516）和喀拉拉邦（RR1.236, 95%CI1.109-1.356）是脆弱风险显著较高的邦。主要预测因素包括独居（RR5.76, 95%CI5.472-5.969）、跌倒史（RR2.55, 95%CI2.501-2.592）和日常歧视经历（RR2.12, 95%CI 2.048-2.141）。这些结果强调，迫切需要针对具体国家的干预措施，以解释微观、中观和宏观层面决定因素的复杂相互作用。该研究提倡制定量身定制的战略，强调了在解决印度异质性老龄化人口中的脆弱性问题时，一刀切的方法的局限性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Research on Aging GERONTOLOGY-

CiteScore

4.50

自引率

0.00%

发文量

期刊介绍： Research on Aging is an interdisciplinary journal designed to reflect the expanding role of research in the field of social gerontology. Research on Aging exists to provide for publication of research in the broad range of disciplines concerned with aging. Scholars from the disciplines of sociology, geriatrics, history, psychology, anthropology, public health, economics, political science, criminal justice, and social work are encouraged to contribute articles to the journal. Emphasis will be on materials of broad scope and cross-disciplinary interest. Assessment of the current state of knowledge is as important as provision of an outlet for new knowledge, so critical and review articles are welcomed. Systematic attention to particular topics will also be featured.