Revisiting successful aging through a machine learning approach to quantifying the influence of chronic diseases.

ABSTRACT: Chronic diseases are highly prevalent among older adults and may be associated with their ability to achieve successful aging, which encompasses five key components: absence of major chronic diseases, freedom from disability, high cognitive function, no depressive symptoms, and active social participation. However, many disease conditions are excluded from conventional definitions of successful aging. This study aims to quantify the predictive effects of multiple chronic diseases on overall successful aging and its five core components, thus providing new evidence to refine aging frameworks. Data were obtained from the China Health and Retirement Longitudinal Study (CHARLS) covering the years 2011, 2013, and 2015. Six common chronic diseases not traditionally included in the successful agi

SUBMITTER: He N 

PROVIDER: S-EPMC12623989 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature