Variable | Model 1 | Model 2 | Model 3 | Model 4 |
---|---|---|---|---|
Middle-aged adults | Older adults | Rural areas | Urban areas | |
URRBMI | 0.5690* | 0.5815** | 0.6392* | 0.5412* |
(0.1520) | (0.1205) | (0.1401) | (0.1415) | |
Age | 1.1055** | 1.0535** | 1.0749** | 1.0437** |
(0.0312) | (0.0121) | (0.0092) | (0.0116) | |
Gender | 0.6157* | 0.5220** | 0.5616** | 0.5184** |
(0.1172) | (0.0878) | (0.0904) | (0.0949) | |
Marital status | 1.1689 | 1.2838 | 1.4294 | 1.1440 |
(0.5090) | (0.2324) | (0.2954) | (0.3069) | |
Residency area | 1.2297 | 0.7399 | Â | Â |
(0.3084) | (0.1433) | Â | Â | |
Education status | 0.5812* | 0.6549* | 0.6843* | 0.5024* |
(0.1544) | (0.1207) | (0.1272) | (0.1689) | |
Household income | 0.9439** | 0.9201** | 0.9208** | 0.9491* |
(0.0206) | (0.0257) | (0.0233) | (0.0247) | |
PM2.5 concentrations | 0.9789* | 1.0101 | 0.9993 | 0.9985 |
(0.0090) | (0.0071) | (0.0086) | (0.0110) | |
Having tap water | 0.3490** | 0.5916** | 0.4494** | 0.5205* |
(0.0964) | (0.1156) | (0.1038) | (0.1710) | |
Constant | 0.0139** | 0.0654** | 0.0228** | 0.1683 |
(0.0224) | (0.0619) | (0.0188) | (0.1686) | |
Number of observations | 890 | 1034 | 1187 | 737 |
Wald chi-squared | 61.40** | 81.06** | 139.32** | 85.19** |
Pseudo R-squared | 0.0970 | 0.0817 | 0.1183 | 0.0880 |