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Table 2 Correlation analysis of community factors and depressive symptoms of Chinese rural labor force

From: The role of community factors in predicting depressive symptoms among Chinese workforce: a longitudinal study in rural and urban settings

 

2

3

4

5

6

7

8

9

10

2016

CES-D

1. 2014 depressive symptoms

-.022

-.100b

-.209b

-.173b

-.198b

-.157b

.098b

-.072b

-.062b

.234b

2. Age

 

-.405b

-.286b

-.049b

.058b

.146b

-.070b

-.021

-.054b

.095b

3. Education

  

.231b

.088b

.069b

-.041b

.034b

.121b

.221a

-.147b

4. Self-rated health

   

.244b

.105b

.118b

-.079b

.174b

.060b

-.268b

5. Self-rated class

    

.184b

.114b

-.126b

.154b

.064b

-.143b

6.Self-perceived job satisfaction

     

.104b

-.095b

.034a

.033a

-.071b

7. Community cohesion

      

-.175b

.330b

-.061b

-.053b

8.Community threat

       

-.090b

.012

.043b

9.Supportive network size

        

.034b

-.092b

10.Medical insurance coverage

         

-.074b

  1. Note
  2. a Correlation is significant at the 0.05 level (2-tailed)
  3. b Correlation is significant at the 0.01 level (2-tailed)