Table 4.
Binary logistic regression for odds ratios of self-reported health (Unhealthy as reference).
| Model 4 (CI) | Model 5 (CI) | Model 6 (CI) | |
|---|---|---|---|
| Male (Female) | 1.18(0.98–1.43) # | 1.17(0.97–1.42) # | 1.18(0.97–1.42) # |
| Age | 1.06(1.04–1.07) *** | 1.06(1.04–1.07) *** | 1.06(1.04–1.07) *** |
| High quality of life (Low) | 5.06 (3.59–7.14) *** | 5.04(3.57–7.11) *** | 5.00(3.54–7.07) *** |
| ADLs (0) | |||
| 1 | 0.76(0.57–1.02) # | 0.76(0.57–1.01) # | |
| 2 | 0.50(0.33–0.75) *** | 0.48(0.32–0.72) *** | 0.48(0.32–0.72) *** |
| 3 | 0.42(0.25–0.71) *** | 0.39(0.23–0.65) *** | 0.38(0.23–0.65) *** |
| 4 | 0.30(0.20–0.46) *** | 0.28(0.18–0.43) *** | 0.29(0.19–0.44) *** |
| 5 | 0.18(0.12–0.25) *** | 0.17(0.12–0.25) *** | 0.17(0.12–0.24) *** |
| 6 | 0.16(0.09–0.27) *** | 0.14(0.08–0.24) *** | 0.14(0.08–0.25) *** |
| Self-reported economic status compared with other local people (Rich) | |||
| So-so | 0.56(0.42–0.75) *** | 0.57(0.43–0.77) *** | 0.58(0.43–0.77) *** |
| Poor | 0.32(0.23–0.46) *** | 0.33(0.23–0.47) *** | 0.34(0.24–0.48) *** |
| Not drink (Drink) | 0.65(0.49–0.86) ** | 0.65(0.49–0.86) ** | 0.65(0.49–0.87) ** |
| Not exercise (Exercise) | 0.67(0.54–0.84) *** | 0.65(0.52–0.81) *** | 0.65(0.52–0.81) *** |
| Don’t have adequate medical service (Have) | 0.64(0.45–0.89) ** | 0.65(0.46–0.91) * | 0.65(0.46–0.92) * |
| Region (Eastern China) | |||
| Western China | 0.69(0.56–0.86) *** | ||
| Northeastern China | 1.88(1.11–3.19) * | ||
| Region*Residence (Eastern City) | |||
| Western Town | 0.67(0.43–1.04) # | ||
| Northeastern City | 2.80(1.18–6.63) * | ||
| Sig. of H-L Test | 0.79 | 0.46 | 0.99 |
| Accuracy(%) | 83.30 | 83.50 | 83.60 |
Note: *** p < 0.001; ** p < 0.01; * p < 0.05; # p < 0.1. Anyone interested in seeing the complete tables is welcome to contact the corresponding author.