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The association between different social network types with successful aging among community-dwelling older adults: A
Yan Tong1, Jinghong Li2, Lijing Cao2
1Department of Social Medicine, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi 030001, China; Shanxi Key Laboratory of Environmental Health Impairment and Prevention, NHC Key Laboratory of Pneumoconiosis, MOE Key Laboratory of Coal Environmental Pathogenicity and Prevention, School of Public Health, Shanxi Medical University, Taiyuan 030001, China.
Objectives:
This study examined the types of social networks among community-dwelling older adults and analysed their association with and pathways to successful aging.
Methods:
A cross-sectional survey was conducted with 3,197 older adults in China using a two-stage cluster sampling method. Latent class analysis identified social network types, and mediation analysis explored the pathways to successful aging.
Results:
Three social network types were identified: family (21.65%), restricted (23.65%), and couple (54.70%). The couple type had the highest successful aging rate (17.67%), while the restricted type had the lowest (7.80%). Compared to the couple type, the restricted (OR = 0.461, 95% CI: 0.336∼0.639) and family types (OR = 0.552, 95% CI: 0.376∼0.811) were less likely to achieve successful aging. Mediation analysis revealed that social networks directly influenced successful aging and indirectly impacted it through social cohesion and health-promoting behaviors.
Conclusions:
The study outlines a chain-mediated pathway to successful aging and highlights the need for targeted interventions to enrich social networks and promote successful aging.
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