The heterogeneous life space trajectories and predictors in stroke patients: a cohort study.

ABSTRACT:

Objective

This study aimed to identify heterogeneous trajectories of life space among stroke patients and explore the predictors for different classes of life space.

Methods

This prospective cohort study assessed 210 stroke patients' life space at baseline and 1, 3, 6 months post-discharge. We elucidated heterogeneous trajectories of life space by latent class growth model and explored the predictors of trajectories by multinomial logistic regression analysis.

Results

Among 173 participants completing the 6-month follow-up, three distinct life space trajectories were identified: the "high-level recovery flat class" (8%), the "medium-level recovery good class" (72%), and the "low-level recovery poor class" (20%). Multinomial logistic regression, using the low-level rec

SUBMITTER: Yang B 

PROVIDER: S-EPMC12531049 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature