Loneliness, social isolation, depression and anxiety among the elderly in Shanghai: Findings from a longitudinal study.

OBJECTIVES: To investigate the longitudinal associations between loneliness, social isolation, depression and anxiety in the elderly. METHODS: A longitudinal cohort study was conducted among 634 older adults from three districts of Shanghai. Data were collected at baseline and 6-month follow-up. Loneliness and social isolation were measured using the De Jong Gierveld Loneliness Scale and the Lubben Social Network Scale respectively. Depressive and anxiety symptoms were assessed using the subscales of Depression Anxiety Stress Scales. Logistic regression and negative binomial regression models were used to examine the associations. RESULTS: We found that moderate to severe loneliness at baseline predicted higher depression scores 6 months later (incidence rate ratio (IRR)=1.99, 95% confidence interval (CI) [1.12, 3.53], p=0.019), while higher depression scores at baseline predicted social isolation at follow-up (odds ratio (OR)=1.14, 95% CI [1.03, 1.27], p=0.012). We also observed that higher anxiety scores predicted lower risk of social isolation (OR=0.87, 95% CI [0.77, 0.98], p=0.021). Additionally, persistent loneliness at both timepoints was significantly associated with higher depression scores at follow-up, and persistent social isolation was associated with a greater likelihood of having moderate to severe loneliness and higher depression scores at follow-up. CONCLUSIONS: Loneliness was found to be a robust predictor of changes in depressive symptoms. Both persistent loneliness and social isolation were closely associated with depression. We should develop effective and feasible interventions for older adults who have depressive symptoms or who are at risk of long-term social relationship problems to avoid the vicious circle among depression, social isolation and loneliness.

The correlates of social capital and adherence to healthy lifestyle in patients with coronary heart disease.

OBJECTIVE: To investigate the correlates of social capital and adherence to healthy lifestyle in patients with coronary heart disease (CHD). METHODS: This register-based, cross-sectional study consisted of individuals diagnosed with CHD at four community health service centers, Shanghai, China, between April and July 2016 (n=609). The sociodemographic characteristics, social capital, adherence to physical activity, and nutrition data were obtained through face-to-face interviews. Social capital was assessed by social participation, social networking, social support, social trust, and sense of belonging. Physical activity and nutrition were measured with the Health-Promoting Lifestyle Profile II. The independent two-sample t-test and Pearson's correlations were used to analyze associations among variables. Hierarchical multiple regression models were used to evaluate effects of social capital on adherence to physical activity and nutrition. RESULTS: The average age of the sample was 60.87 (standard deviation [SD] =6.91), with 54.4% being male and 45.6% female. The average score of physical activity and nutrition were 2.38 (SD =0.59) and 2.78 (SD =0.50), respectively. The final model significantly explained 28.9% of variance in physical activity (F=34.96, P<0.001) and 30.5% of variance in nutrition (F=37.73, P<0.001). Most of the subdimensions of social capital were significantly associated with physical activity and nutrition, after controlling for marital status and education level. CONCLUSION: The results suggested that social capital was the correlate of adherence to long-term healthy lifestyle, including physical activity and nutrition. These findings highlight the need to take into account social capital in developing intervention strategies to improve the adherence to the long-term healthy lifestyle for patients with CHD.