Objective: Less is known about the association between community environment and depression. To bridge this gap, the aim of this research is to explore the association between community environment and depression using panel data.
Methods: The data of the present study were sourced from 2016 and 2020 waves of China Family Panel Studies. Panel data regression models were exploited to identify the association between community environment and depression. The present study employed Karlson-Holm-Breen method to analyze the mediation roles of physical exercise and smoking on the association between community environment and depression.
Results: The panel data regression results suggest that community public facility is negatively associated with CES-D score (coefficient = -0.1399, p < 0.001). Community surrounding environment is negatively correlated with CES-D score (coefficient = -0.1618, p < 0.001). Moreover, physical exercise mediates the association between community environment and CES-D score (p < 0.01). In addition, there is no evidence indicating that smoking mediates the association between community environment and CES-D score (p > 0.05).
Conclusion: Community public facility and surrounding environment are negatively associated with depression of the adults. In addition, physical exercise mediates the association between community environment and depression. The findings highlight the importance of optimizing community environment. It is necessary to understand depression from a multi-dimensional perspective.
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