Table 3 Correlation analysis of community factors and depressive symptoms of Chinese urban labor force

1. 2014 depressive symptoms

-.132^b

.011

-.106^b

-.095^b

-.293^b

-.143^b

.199^b

-.002

-.091^b

.208^b

2. Age

-.325^a

-.263^b

.023

.059^b

.175^b

-.133^b

-.020

.113^b

-.005

3. Education

.208^b

.100^b

.102^b

-.160^b

.064^b

.173^b

.382^b

-.086^b

4. Self-rated health

.261^b

.115^b

.082^b

-.076^b

.107^b

-.038^a

-.178^b

5. Self-rated class

.181^b

.150^b

-.148^b

.179^b

.025

-.120^b

6. Self-perceived job satisfaction

.115^b

-.118^b

.081^b

.119^b

-.119^b

7. Community cohesion

-.140^b

.180^b

-.104^b

-.063^b

8.Community threat

.029

-.020

.068^b

9.Supportive network size

.093^b

-.094^b

10. Medical insurance coverage

-.056^b