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Table 5 Regression analysis results of the influence of community factors on depressive symptoms of urban workers (N = 2,983)

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

 

Mode3

Model 4

 

B

95%CI

P-value

B

95%CI

P-value

2014 Depressive symptoms

0.639

0.498, 0.779

 < 0.001

0.639

0.496, 0.780

< 0.001

Age

-0.045

-0.076, -0.013

0.006

-0.045

-0.075, -0.010

0.010

Education

-0.514

-0.828, -0.201

0.001

-0.514

-0.781, -0.075

0.018

Self-rated health

-1.164

-1.546, -0.782

 < 0.001

-1.164

-1.519, -0.746

< 0.001

Self-rated class

-0.223

-0.423, -0.023

0.029

-0.223

-0.370, 0.037

0.109

Self-perceived job satisfaction

-0.344

-0.776, 0.088

0.119

-0.344

-0.740, 0.127

0.165

Community cohesion

   

0.025

-0.105, 0.156

0.702

Foreseeable community threat

   

0.041

-0.050, 0.132

0.376

Supportive network size

   

-0.539

-0.842, -0.236

 < 0.001

Medical insurance coverage

   

-0.017

-0.247, 0.213

0.882

Adjusted R-square

0.076

0.079