ArticleFrontiers in public health2025
Bidirectional intergenerational support and mental health in older adults based on latent profile analysis: a moderated mediation model.
Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: Bidirectional intergenerational support is linked to late-life mental health, yet the underlying mechanisms remain unclear. Guided by intergenerational solidarity and social support theories, we examined how distinct support profiles relate to mental health among Chinese older adults, testing self-rated health (SRH) as a mediator and social participation as a moderator. Methods: We analyzed 7,843 adults aged ≥60 from the 2020 China Longitudinal Aging Social Survey. Latent profile analysis (LPA) identified bidirectional support profiles; group differences in mental health were assessed using the Bolck-Croon-Hagenaars (BCH) approach, followed by mediation and moderated-mediation models with bootstrap inference (5,000 resamples). Results: Four profiles emerged-High Support-High Interaction-High Closeness (HS-HI-HC; 47.02%), Child-High Support-Low Interaction-High Closeness (CS-LI-HC; 33.46%), Moderate Support-Moderate Interaction-Low Closeness (MS-MI-LC; 10.37%), and Low Support-Low Interaction-Moderate Closeness (LS-LI-MC; 9.16%). Mental health differed across different profiles, with HS-HI-HC showing the best mental health levels (the lowest scores). SRH partially mediated these associations (for instance, HS-HI-HC indirect effect = -0.186, 95% CI -0.245 to -0.131). Social participation attenuated benefits of high family support but buffered risks under low support. Conclusion: Bidirectional intergenerational support is heterogeneous in China; profiles characterized by reciprocity and closeness show the most favorable mental health. SRH accounts for a modest but meaningful share of these associations, and social participation can substitute for-or amplify-the benefits of family support depending on profile. Findings inform profile-tailored community and family interventions to promote healthy aging.
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