Analysis of Social Isolation Factors of the Elderly in Beijing

Abstract

Social isolation has long been playing a critical role but is under-recognized as a risk factor for poor health outcomes. The study aims to identify and analyze the sociodemographic factors among elderly people who are at higher risk of being socially isolated in Beijing. The study’s data is sourced from the Chinese Longitudinal Health Longevity Study in 2018 (CLHLS). The study uses the social isolation of the elderly as the dependent variable and the sociodemographic factors of social isolation of the elderly as the independent variable and then conducts ANOVA analysis and multiple linear regression analysis. The results of the study show that age, family structure, marital status, primary source of income, education level, and number of children born have a significant correlation with social isolation. While other factors such as gender, type of work before retirement, chronic disease status, and per capita monthly income of households, show no significant association with social isolation.