Transition pattern of health status among middle-aged and elderly population in China based on the frailty index
10.3760/cma.j.cn115624-20250813-00685
- VernacularTitle:基于衰弱指数的我国中老年人群健康状态转移规律研究
- Author:
Fei XU
1
;
Xinlei MIAO
1
;
Yangxuan HE
1
;
Guimin TANG
1
;
Qianqian WANG
1
;
Meng LI
1
;
Jiayi DENG
1
;
Song LENG
1
Author Information
1. 大连医科大学附属第二医院健康管理中心，大连 116023
- Publication Type:Journal Article
- Keywords:
Frailty;
Markov chains;
Health promotion;
Health status;
Transition;
Middle-aged and elderly people;
Physical examination
- From:
Chinese Journal of Health Management
2025;19(10):823-829
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate transition pattern of health status among middle-aged and elderly population in China based on frailty index.Methods:In this retrospective cohort study, middle-aged and elderly people were selected from the China Health and Retirement Longitudinal Study (CHARLS) in 2011; and 1 434 subjects were followed up to 2015. The frailty index was calculated from the prevalence of chronic diseases, daily activity ability and blood biomarkers, and the frailty state was divided by quartiles of the frailty index. Markov models were constructed to determine the transition probabilities of different frailty states.Results:The mean age of the 1 434 subjects was (59.0±9.4) years and the mean frailty index was 0.11±0.05. In the healthy individuals, 63.0% remained healthy after a four-year follow-up; during the same follow-up period, 40.9% of the mildly frail individuals and 23.0% of the moderately frail individuals remained in their baseline frailty status. Increasing age leaded to a gradual increase in the probability of the population shifting to a severely frailty state. Women were more likely to shift to severe frailty status than men (0.029 vs 0.019, Z=3.03, P=0.002). Conclusion:Among middle-aged and elderly population in China, the transition of health states follows a pattern where higher frailty levels are associated with lower stability. Advanced age and female gender are identified as risk factors for progression to severe frailty.
