Assessing Healthy Aging Score and Its Association With All-Cause Mortality: Findings From the China Health and Retirement Longitudinal Study

Abstract Background and Objectives To construct a comprehensive healthy aging score (HAS) and explore its association with all-cause mortality and its potential interactions with other demographics on mortality. Research Design and Methods This study included 5,409 participants aged ≥60 years from the China Health and Retirement Longitudinal Study. An HAS was constructed based on three dimensions of healthy aging including intrinsic capacity (IC), environmental support (ES), and chronic disease (CD), which were assessed at baseline, and categorized by tertiles (poor, moderate, and high). Participants were followed up biennially for all-cause mortality through the death registration or family interview from 2011 to 2018. Data were analyzed using Cox regression, Laplace regression, and receiver-operating characteristic analysis. Results During 7 years of follow-up, 877 (16.21%) participants died. An HAS was constructed based on the cognition, mobility, and instrumental activity of daily living in the IC dimension; housing in the ES dimension; and hypertension, diabetes, chronic lung disease, stroke, and cancer in the CD dimension, which was associated with death. HAS seems a good predictor of all-cause mortality, with an area under the curve of 0.749. The hazard ratios and 95% confidence intervals for all-cause mortality related to moderate and poor HAS (vs high HAS) were 1.26 (1.01–1.56) and 2.38 (1.94–2.91), respectively. The median survival time was 2.46 years shorter in participants with poor HAS than those with high HAS. There were significant additive interactions of HAS with age, sex, and marital status on death. Discussion and Implications Poor HAS may increase mortality and shorten survival, especially among older, male, and single adults.