Table 2.
Results of logistic regression.
| Variables | Model 1 |
Model 2 |
||||
|---|---|---|---|---|---|---|
| aOR | 95% CI | P | aOR | 95% CI | P | |
| TCC (%) | 0.95 | 0.929–0.980 | <0.001 | 0.61 | 0.460–0.745 | <0.001 |
| COVID-19 epidemic (Yes vs. No) | 7.84 | 4.671–13.950 | <0.001 | 0.07 | 0.008–0.455 | 0.009 |
| Residential area's household density (per household/100m2) | 0.18 | 0.070–0.470 | <0.001 | 0.33 | 0.123–0.882 | 0.028 |
| Residential area's house price (ten thousand CNY) | 1.98 | 1.050–3.696 | 0.033 | – | – | – |
| Tree canopy & Epidemic | – | – | – | 1.26 | 1.140–1.461 | <0.001 |
Note: aOR: adjusted odds ratio. Table 2 exhibits the stepwise regression results. Model 1 was the logistic regression of psychological distress and all selected variables, and Model 2 added the interactive effect of tree canopy and the COVID-19 epidemic to Model 1. “Tree canopy & Epidemic” indicated the interaction variable between TCC and COVID-19 epidemic. In addition, only significant variables are shown in Table 2.