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ABSTRACT: Background
We aimed to examine the association between social capital and loneliness in Anhui Province, China.Methods
Data were collected from a cross-sectional study using a multi-stage stratified cluster sampling strategy. Data on demographic characteristics, socioeconomic factors, social capital, and loneliness in 1810 older adults (aged 60 years and older) were used for analysis. Binary logistic regression models and a classification and regression tree model were performed to assess the association of social capital and loneliness.Results
Our results indicated that social capital in terms of lower level of social participation (AOR = 1.38; 95% CI: 1.10-1.74), social connection (AOR = 1.51; 95% CI: 1.18-1.93), and reciprocity (AOR = 1.47; 95% CI: 1.13-1.90) were
SUBMITTER: Bai Z
PROVIDER: S-EPMC7791664 | biostudies-literature | 2021 Jan
REPOSITORIES: biostudies-literature