Table 5.
Associations between migration city type and health services use among healthy aged migrant workers based on a logistic regression analysis
| Variables | Health records | Health education | Medical treatment |
|---|---|---|---|
| Migration region | |||
| Self-assessment is healthy | Model 1 | Model 1 | Model 1 |
| Ref: Western | (n = 8466) | (n = 8466) | (n = 3266) |
| Central | 0.42(0.06)*** | -0.32(0.06)*** | -0.12(0.10) |
| Eastern | -0.55 (0.06)*** | -0.87(0.06)*** | -0.19(0.08)* |
| no hypertension or diabetes | Model 2 | Model 2 | Model 2 |
| Ref: Western | (n = 11345) | (n = 11345) | (n = 5085) |
| Central | 0.45(0.05)*** | -0.34(0.05)*** | -0.06(0.07) |
| Eastern | -0.63(0.06)*** | -0.91(0.05)*** | -0.20(0.07)** |
| Migration city type | |||
| Self-assessment is healthy | Model 3 | Model 3 | Model 3 |
| Ref: third-tier cities and smaller cities | (n = 8466) | (n = 8466) | (n = 3266) |
| Second-tier cities | -0.18(0.06)** | -0.31(0.05)*** | -0.26(0.08)*** |
| First-tier cities | -1.05(0.11)*** | -0.57(0.08)*** | -0.49(0.12)*** |
| no hypertension or diabetes | Model 4 | Model 4 | Model 4 |
| Ref: third-tier cities | (n = 11345) | (n = 11345) | (n = 5085) |
| Second-tier cities | -0.25(0.05)*** | -0.30(0.05)*** | -0.31(0.06)*** |
| First-tier cities | -1.10(0.10)*** | -0.59(0.07)*** | -0.52(0.11)*** |
Note: * p < 0.05; ** p < 0.01; *** p < 0.001. Potential confounding variables have been controlled.