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Patient Prefer Adher · Jan 2022
Mediating Role of Depressive Symptoms on the Association Between Neighborhood Social Cohesion and Quality of Life in Individuals with Type 2 Diabetes Mellitus.
- Liqun Wang, Ning Yan, Rongrong Guo, Lining Pu, Yuqi Dang, Ruiping Pan, and Yang Niu.
- Department of Epidemiology and Statistics, School of Public Health and Management at Ningxia Medical University, Yinchuan, 750004, People's Republic of China.
- Patient Prefer Adher. 2022 Jan 1; 16: 1085-1092.
PurposeFew studies have explored the association between neighborhood social cohesion (NSC), a type of social capital, and the quality of life of patients with type 2 diabetes mellitus (T2DM). In addition, the potential mechanism for this association remains unclear. The current study examined the mediation effect of depressive symptoms on the relationship between NSC and quality of life among diabetes patients in China.Patients And MethodsA cross-sectional study of 1747 T2DM patients was conducted. The specific quality of life (DSQL), Center for Epidemiological Survey Depression (CES-D), and social capital scales were administered using a face-to-face survey. Partial correlation analysis and a linear regression model were employed to explore the relationship between NSC, depressive symptoms, and quality of life. Bootstrap analysis using PROCESS was used to test the mediation model.ResultsAfter controlling for covariates, NSC was negatively correlated with depressive symptoms (r=-0.24, P<0.01) and DSQL score (r=-0.20, P<0.01) while depressive symptoms were positively correlated with DSQL score (r=0.46, P<0.01). Linear regression analysis also found that NSC was negatively associated with the DSQL score, while depressive symptoms were positively associated with the DSQL score. Depressive symptoms mediated the relationship between NSC and quality of life in T2DM patients (explaining 50.7% of the total variance).ConclusionNSC was positively associated with improved quality of life among Chinese T2DM patients in this study, and depressive symptoms were likely to partially explain this relationship. These findings may be used to help maintain a good quality of life among at-risk individuals. Additional prospective studies are needed to confirm these findings.© 2022 Wang et al.
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