This study aimed to identify latent classes of social networks among rural left-behind older adults in China, examine their influencing factors, and explore their associations with different dimensions of intergenerational support.
Methods
A cross-sectional survey was conducted in July-August 2022 across seven counties in Anhui Province, China, using village-based convenience sampling combined with a random-walk household procedure, using a general information questionnaire, the Lubben Social Network Scale, and an intergenerational support scale. Latent profile analysis (LPA) identified network types; multinomial logistic regression examined covariate predictors; and ordinal models including quadratic terms characterized the associations of intergenerational support dimensions with network type, with inflection-point estimation and sensitivity analyses.
Results
LPA revealed three distinct social network profiles: Family-Friend Weak-Tie (56.5%), Family-Friend Moderate-Maintenance (31.3%), and Family-Friend Stable -Active (12.3%). Age, primary economic source, social participation, vision impairment, and intergenerational support were significant influencing factors (all p < 0.05). Emotional support was consistently and positively associated with network level (β = 0.312, p < 0.001), whereas financial support showed a significant inverted-U association (linear β = 1.07, p = 0.002; quadratic β = - 0.105, p = 0.003), with an inflection point at a financial support score of 5.11; instrumental care(daily care) showed no significant association. The inverted-U pattern was robust across sensitivity analyses.
Conclusion
The social networks of rural left-behind older adults in China are heterogeneous, with over half characterized by weak ties and a high prevalence of social isolation. Dimensions of intergenerational support are differentially associated with network type: emotional support is consistently positive, financial support follows an inverted-U pattern (suggesting moderate rather than maximal support), and instrumental care shows no significant association. Interventions should prioritize the weak-tie subgroup, emphasize emotional connection, and promote moderate levels of financial support.
Background Two-way social support, involving both receiving and providing support, is an important psychosocial factor influencing older adults’health. Migrant older adults may face increased health risks due to migration-related disruption of social networks, making social support particularly important. However, exis...
Mei-Juan Cao, Shu-Min Wang, Ya-Ling Zeng et al.· Frontiers in Public Health· 0 citations
Objective This study aimed to identify social isolation profiles among older adults in China using latent profile analysis and to explore their associations with demographic and health factors. Methods A cross-sectional study was conducted between July and December 2023 in the Chaoyang and Dongcheng districts of Beijin...
X. Lai, Zhi-Yuan Zhang, Yong-Hua Cai et al.· Frontiers in Public Health· 0 citations
This study examines whether multidimensional social isolation is associated with all-cause mortality and explores whether these associations vary by gender and rural-urban residence in China. Using nationally representative longitudinal data from 12,686 adults aged 45 and older in the China Health and Retirement Longit...
Jian-Feng He, Zhi-Yong Lin· Research on Aging· 0 citations
Background Health-related quality of life is a key indicator of health status among rural empty-nest older adults with chronic diseases, who face limited social resources and a high disease burden. Although social capital is associated with quality of life, its heterogeneity and underlying mechanisms remain unclear. Th...
Yajuan Wang, Yu Zhao, Chunyu Tian et al.· Frontiers in Public Health· 0 citations
Person-centered approaches to social networks profiles and their association with digital health readiness (DHR) remain underexplored among rural older adults with hypertension. This study aimed to identify latent social networks profiles and examine their independent association with DHR in this population. A cross-se...
Er-Shan Xu, Cui-Juan Lin, Jiang He et al.· Scientific Reports· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.