[Transition rules of cognitive frailty and influencing factors in the elderly in China].

To understand the transition rules of cognitive frailty and its influencing factors in the elderly in China and provide evidence for the early intervention of cognitive frailty. Data were retrospectively collected from China Health and Retirement Longitudinal Study with 3 round consecutive survey (2011, 2013, 2015) and the state of the subjects were classified into four categories: robust-normal cognitive, cognitive impairment, physical frailty, and cognitive frailty. A multi-state Markov model was established to explore the transition rules of cognitive frailty and its influencing factors. A total of 3 470 older adults were included, and 350 (10.09%) had cognitive frailty at baseline. After two years, the probability of cognitive frailty in the cognitive impairment population was higher than that in people with physical frailty (31.6% 7.6%). Persons with cognitive frailty were more likely to become physical frailty (29.7% 15.6%). Being women (=1.599, 95%: 1.058-2.417), comorbidity (=3.035, 95%: 1.090-8.450), and depression (=1.678, 95%: 1.153-2.441) were the risk factors associated with cognitive frailty in the elderly, while being educated (=2.367, 95%: 1.567-3.575) was a protective factor for the transition of cognitive frailty to physical frailty. The prevalence of cognitive frailty is relatively high in the elderly in China. Those with cognitive impairment have a higher probability of cognitive frailty. Gender, education level, comorbidity, and depression are the main influencing factors for the occurrence and transition of cognitive frailty.