Based on older adults involvement in economic, social, political, and family activities, we use data from CLASS (2014) to examine their patterns of social participation by latent class analysis. We identify three active profiles-High Active, Low Active, and Family Care-which are consistent with the characteristics of family culture in China. Multinomial logistic regression analysis is further adopted to investigate the association between their participation patterns and individual, social, economic, and environmental factors. Results suggest that the influential framework can explain the differences in types of participation patterns. In order to improve the internal and external abilities of the older adults in social participation, we should develop lifelong education, strengthen the capacity of social organizations, improve the old-age service system, and establish an agefriendly environment. Particularly, we should pay attention to the needs of socially vulnerable elderly groups to build a society for all ages and promote healthy ageing and active ageing.