The transitions and predictors of cognitive frailty with multi-state Markov model: a cohort study.

ABSTRACT:

Background

Cognitive frailty (CF) is characterized by the simultaneous presence of physical frailty and cognitive impairment. Previous studies have investigated its prevalence and impact on different adverse health-related outcomes. Few studies have focused on the progression and reversibility of CF and their potential predictors.

Methods

Data were derived from the China Health and Retirement Longitudinal Study (CHARLS). A total of 4051 older adults with complete data on three waves of the survey (2011, 2013, and 2015) were included and categorized into four groups: normal state (NS), cognitive impairment (CI) only, physical frailty (PF) only and CF (with both PF and CI). A multi-state Markov model was constructed to explore the transitions and predicting factors of CF.

R

SUBMITTER: Yuan M 

PROVIDER: S-EPMC9248089 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature