The role of social support in the association between dependency and important risk factors among the elderly.

BACKGROUND

This study aimed to assess the association between social resources and dependency, and explored the effect of social support in modifying important risk factors for dependency among the elderly.

METHODS

This was a population-based cross-sectional study. A total of 950 participants aged ≥60 years were selected using a complex multistage sampling design from 22 locations in China. All data were collected using questionnaires by face-to-face interviews. Dependency was assessed using the Minnesota Multiphasic Personality Inventory-II, and social resource status with the Chinese version of the Older American Resources and Services (OARS) questionnaire. Logistic regression analysis was used to evaluate the association between dependency and social resources. Analysis of covariance was performed to evaluate the effect of social support on modifications of important risk factors for dependency.

RESULTS

A total of 913 participants were included in the analysis, and 10.3% of the males and 14.4% of the females were identified as in dependency. The results of logistic regression analysis showed a significant negative association between the levels of social resources and dependency. The odds ratio was 0.78 (95% confidence interval, 0.73-0.84) after adjusting for important confounding factors. The results of analysis of covariance showed differences in the mean dependency scores between different groups defined by chronic disease status and social support level.

CONCLUSIONS

Levels of social resources were negatively associated with dependency. Our results suggest that social support has both a direct effect on dependency and an indirect effect through modifying chronic disease status and individual income.