Trajectories of Social Participation and Its Predictors in Older Adults: Based on the CLHLS Cohorts from 2002 to 2018

Chi Zhang, Yinan Zhao, Xi Chen, Xiaoyang Li, Qingcai Liu, Ruotong Peng, Yifei Chen and Hui Feng ()
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Chi Zhang: Xiangya School of Nursing, Central South University, Changsha 410013, China
Yinan Zhao: Xiangya School of Nursing, Central South University, Changsha 410013, China
Xi Chen: Xiangya School of Nursing, Central South University, Changsha 410013, China
Xiaoyang Li: Xiangya School of Nursing, Central South University, Changsha 410013, China
Qingcai Liu: Xiangya School of Nursing, Central South University, Changsha 410013, China
Ruotong Peng: Xiangya School of Nursing, Central South University, Changsha 410013, China
Yifei Chen: Xiangya School of Nursing, Central South University, Changsha 410013, China
Hui Feng: Xiangya School of Nursing, Central South University, Changsha 410013, China

IJERPH, 2023, vol. 20, issue 5, 1-11

Abstract: Social participation is a key factor in achieving active aging. This study aimed to explore the trajectories and predictors of social participation changes among older adults in China. The data used in this study are from the ongoing national longitudinal study CLHLS. A total of 2492 older adults from the cohort study were included. Group-based trajectory models (GBTM) were used to identify potential heterogeneity in longitudinal changes over time and investigate associations between baseline predictors and trajectories for different cohort members using logistic regression. Four different trajectories of social participation were reported in older adults, namely, stable (8.9%), slow decline (15.7%), lower score with decline (42.2%), and higher score with decline (9.5%). On multivariate analyses, age, years of schooling, pension, mental health, cognitive function, instrumental activities of daily living, and initial social participation scores significantly impact the rate of change in social participation over time. Four trajectories of social participation were identified in the Chinese elderly population. Management of mental health, physical function, and cognitive function appear to be important in maintaining the long-term social participation of older people in the community. Early identification of factors influencing the rapid decline in social participation and timely interventions can maintain or improve social participation levels in older adults.

Keywords: longitudinal; social participation; group-based trajectory model; older adults (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2023
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