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ABSTRACT: Background and objectives
Multimorbidity trajectories help to analyze the onset and development of multimorbidity over time and are an important public health matter. However, existing longitudinal studies have not adequately characterized trajectory differences nor their determinants across clinically distinct subpopulations stratified by baseline health status. This study explored and investigated evidence-based multimorbidity trajectories in populations with and without multimorbidity, and determined how factor trajectories and baseline factors impact multimorbidity trajectories.Methods
Multimorbidity trajectories and factor trajectories were estimated by group-based trajectory modeling (GBTM) using data from the China Health and Retirement Longitudinal Study (CHARLS, 20
SUBMITTER: Wang C
PROVIDER: S-EPMC12624946 | biostudies-literature | 2025 Dec
REPOSITORIES: biostudies-literature