Table 4 Regression analysis results of the influence of community factors on depressive symptoms of rural workers (N = 6,157)
| Â | Mode1 | Model 2 | ||||
|---|---|---|---|---|---|---|
| Â | B | 95%CI | P-value | B | 95%CI | P-value |
2014 Depressive symptoms | 0.687 | 0.580, 0.793 | < 0.001 | 0.683 | 0.576, 0.790 | < 0.001 |
Age | 0.010 | -0.013, 0.034 | 0.384 | 0.012 | -0.012, 0.036 | 0.335 |
Education | -0.761 | -1.040, -0.482 | 0.001 | -0.675 | -0.964, -0.386 | < 0.001 |
Self-rated health | -1.781 | -2.048, -1.514 | < 0.001 | -1.746 | -2.016, -1.475 | < 0.001 |
Self-rated class | -0.291 | -0.448, -0.134 | < 0.001 | -0.267 | -0.426, -0.108 | 0.001 |
Self-perceived job satisfaction | 0.010 | -0.308, 0.327 | 0.952 | 0.009 | -0.310, 0.327 | 0.958 |
Community cohesion | Â | Â | Â | -0.010 | -0.125, 0.105 | 0.867 |
Foreseeable community threat | Â | Â | Â | 0.001 | -0.080, 0.081 | 0.986 |
Supportive network size | Â | Â | Â | -0.195 | -0.435, 0.045 | 0.112 |
Medical insurance coverage | Â | Â | Â | -0.343 | -0.695, 0.009 | 0.056 |
Adjusted R-square | 0.111 | 0.111 | ||||