Ontology highlight
ABSTRACT: Background
Cardiometabolic multimorbidity (CMM) poses a significant health burden among middle-aged and older adults in China, yet early risk prediction remains challenging. The Composite Score of Physiological Variability (CSPV), integrating blood pressure, pulse rate, and body weight fluctuations, may offer a novel tool for assessing CMM risk, but the role of socioeconomic status (SES) in this association is unclear.Methods
Using data from the China Health and Retirement Longitudinal Study (CHARLS, N = 4,905) and the Chinese Longitudinal Healthy Longevity Survey (CLHLS, N = 4,086), we calculated CSPV based on tertile-coefficients of variation for physiological measures. Cox models and mediation analyses examined longitudinal associations between CSPV and CMM, adjusting fo
SUBMITTER: Yan C
PROVIDER: S-EPMC12512614 | biostudies-literature | 2025 Oct
REPOSITORIES: biostudies-literature