Unknown

Dataset Information

Association of metabolic syndrome severity with frailty progression among Chinese middle and old-aged adults: a longitudinal study.


ABSTRACT:

Background

The binary diagnosis of Metabolic Syndrome(MetS) fails to accurately evaluate its severity, and the association between MetS severity and frailty progression remains inadequately elucidated. This study aims to clarify the relationship between the severity of MetS and the progression of frailty among the middle-aged and elderly population in China.

Method

Participants from the 2011-2018 China Health and Retirement Longitudinal Study(CHARLS) were included for a longitudinal analysis. The study employs a frailty index(FI) based on 32 health deficits to diagnose frailty and to assess FI trajectories. An age-sex-ethnicity-specific MetS scoring model (MetS score) was used to assess metabolic syndrome severity in Chinese adults. The Cumulative MetS score from 2012 to 201

SUBMITTER: Zeng P 

PROVIDER: S-EPMC11329990 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature