Table 9 Multivariate logistic regression analysis of predictors of three types health education utilization of migrants
Variables in the equation | Model II | Model III | Model IV | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
B (SE) | Wald | OR[95%-CI] | P | B (SE) | Wald | OR[95%-CI] | P | B (SE) | Wald | OR[95%-CI] | P | |
Predisposing variables | ||||||||||||
Marital status (Ref = Unmarried) | ||||||||||||
Married | 0.501(0.302) | 2.756 | 1.650 [0.913, 2.981] | 0.097 | −0.876(0.232) | 14.216 | 0.417 [0.264, 0.657] | < 0.001 | ||||
Divorced/Widowed | 1.492(0.671) | 4.941 | 4.448 [1.193, 16.584] | 0.026 | −0.519(0.806) | 0.415 | 0.595 [0.123, 2.888] | 0.520 | ||||
Employment status (Ref = Informal work) | ||||||||||||
Formal work | 0.694(0.242) | 8.195 | 2.001 [1.245, 3.217] | 0.004 | ||||||||
Enabling variables | ||||||||||||
Average daily working time (Ref = < 8 h) | ||||||||||||
8 | −0.356(0.461) | 0.595 | 0.701 [0.284, 1.729] | 0.440 | −0.422(0.465) | 0.825 | 0.656 [0.264, 1.630] | 0.364 | −0.426(0.481) | 0.783 | 0.653 [0.255, 1.677] | 0.376 |
> 8 | −1.237(0.480) | 6.634 | 0.290 [0.113, 0.744] | 0.010 | −1.372(0.484) | 8.037 | 0.254 [0.098, 0.655] | 0.005 | −1.156(0.493) | 5.495 | 0.315 [0.120, 0.827] | 0.019 |
Health behavior variables | ||||||||||||
Do exercises (Ref = No) | ||||||||||||
Yes | 0.790(0.223) | 12.519 | 2.204 [1.423,3.415] | < 0.001 | 0.890(0.229) | 15.111 | 2.436 [1.555, 3.861] | < 0.001 | 0.603(0.205) | 8.610 | 1.827 [1.222,2.734] | 0.003 |
Acquire health knowledge (Ref = No) | ||||||||||||
Yes | 0.670(0.234) | 8.203 | 1.954 [1.236,3.091] | 0.004 | ||||||||
Constant | −2.087 (0.480) | 18.905 | 0.124 | < 0.001 | −2.188 (0.535) | 16.738 | 0.112 | < 0.001 | −0.799 (0.527) | 2.297 | 0.130 | 0.450 |