Social networks and intergenerational support among rural left-behind older adults in China: a latent profile analysis

OBJECTIVE: 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.

Authors

Institutions

Publication Details

Journal
BMC Geriatrics
Published
2026-07-16
DOI
https://doi.org/10.1186/s12877-026-07922-9
Primary Topic
Health disparities and outcomes
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Social networks and intergenerational support among rural left-behind older adults in China: a latent profile analysis

Annuo Liu, Huan Liu, Jia Wang, Zheng Lin et al.
BMC Geriatrics
Health disparities and outcomes
article

Social networks and intergenerational support among rural left-behind older adults in China: a latent profile analysis

Annuo Liu, Huan Liu, Jia Wang, Zheng Lin, Chunhui Yang, Zhongsu Shi, Yali Mao, Junnan Song, Yue Zhang, Yuqin Jiang
article en

Abstract

OBJECTIVE: 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.

BMC Geriatrics
Anhui Medical University (CN), First Affiliated Hospital of Anhui Medical University (CN), Third People's Hospital of Hefei (CN)
Anhui Provincial Department of Education
Reduced inequalities
Openalex Percentile: Top 5%
Health disparities and outcomes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.