Bidirectional and Dynamic Relationships Between Social Isolation and Loneliness Among Older Adults in China.

OBJECTIVES

This study aimed to investigate the bidirectional associations and temporal dynamics between social isolation (SI) and loneliness among older adults.

DESIGN

This is a prospective cohort study.

SETTING AND PARTICIPANTS

With the global phenomenon of population aging, there has been a significant increase in the prevalence of SI and loneliness among older adults. These factors exert substantial impacts on the health and well-being of this population. Consequently, it is imperative to implement more effective interventions targeting SI and combating loneliness in order to enhance the overall health and well-being of older adults.

METHODS

Data from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) were analyzed, focusing on individuals aged 65 and older. Generalized Cross-Lagged Modeling (GCLM) was used to assess these associations.

RESULTS

The findings reveal significant cross-lagged effects between SI and loneliness over the course of 16 years. Higher levels of SI at 1 time point predict increased loneliness scores in subsequent periods, and greater levels of loneliness at 1 time point predict higher SI scores in future periods. Notably, the impact of SI on loneliness is found to be larger and more enduring compared to the influence of loneliness on SI. These cross-lagged effects persist over an extended period, indicating a long-term reciprocal relationship between SI and loneliness among older adults.

CONCLUSIONS AND IMPLICATIONS

This study provides valuable insights into the bidirectional associations between SI and loneliness among older adults. Given that the effect of SI dominates, the findings suggest that public health strategies aimed at promoting health and well-being should prioritize interventions that enrich older adults' social networks. Emphasizing early interventions aimed at enhancing social networks is essential for promoting healthy aging and overall well-being.