Prevalence and correlates of elder neglect in the community-dwelling Chinese population: New evidence from the CLHLS study

BackgroundThis study aimed to explore the prevalence of elder neglect (EN) and its associated factors among community-based Chinese older adults. MethodsWe used data from the 2018 phase of a nationwide cross-sectional study, the Chinese Longitudinal Healthy Longevity Survey (CLHLS), which recruited 15,854 older adults to complete the study interviews that incorporated six dimensions of EN, namely, life neglect, social isolation, medical neglect, poor living situation, family neglect, and social neglect. Multivariate logistic regression was used to explore factors associated with EN. ResultsWe included demographic factors, chronic diseases, cognitive function, and daily activity function in our comprehensive analysis and showed that they had different effects on the six EN dimensions. Different demographic factors such as gender, age, marriage, education, occupation, residence, and household income were included in the comprehensive analysis, and the results showed that these factors had different effects on the six dimensions of EN. Next, we found that older adults with chronic diseases are prone to life neglect, medical neglect, and residential environment neglect. Older adults with better cognitive abilities were less likely to be neglected, and a decline in daily activity capacity has been linked to EN in older adults. ConclusionFuture studies are needed to identify the health effects of these associated factors, develop prevention strategies for EN, and improve the quality of life of older adults living in communities.

Automated summary

This study aimed to assess the prevalence of elder neglect and its associated factors among community-based Chinese older adults. Data from a nationwide cross-sectional study were analyzed, and six dimensions of neglect were identified. The analysis showed that different factors had different effects on these dimensions. Future studies are needed to explore the health impacts of these associated factors and develop prevention strategies to improve the quality of life for older adults in communities.