Table 4.
Binary logistic regression analysis of factors influencing the utilization of child health management services
| Variable | β | Standard error | Wald test | Df | P-Value | Exp(β) | 95% confidence interval |
|---|---|---|---|---|---|---|---|
| Physical examination | |||||||
| Constant | 1.931 | 0.245 | 61.857 | 1 | < 0.001 | 6.895 | – |
| Educational level of the mother (control = junior high school and below) | |||||||
| Senior high school/ technical secondary school/ junior college | 1.419 | 0.482 | 8.652 | 1 | 0.003 | 4.134 | (1.606, 10.642) |
| Bachelor’s degree or above | 1.442 | 0.482 | 8.941 | 1 | 0.003 | 4.230 | (1.644, 10.888) |
| Development guidance | |||||||
| Constant | 1.238 | 0.129 | 92.6775 | 1 | < 0.001 | 3.449 | – |
| Household registration (control = local children) (P < 0.001) | |||||||
| Migrant children | −0.874 | 0.205 | 18.085 | 1 | < 0.001 | 0.417 | (0.279,0.624) |
| Disease prevention guidance | |||||||
| Constant | −0.298 | 0.195 | 2.353 | 1 | 0.125 | 0.742 | – |
| Educational level of the father (control = junior high school and below) (P = 0.001) | |||||||
| Senior high school/ technical secondary school/ junior college | 0.251 | 0.248 | 1.029 | 1 | 0.310 | 1.286 | (0.791,2.090) |
| Bachelor’s degree or above | 0.814 | 0.238 | 11.739 | 1 | 0.001 | 2.257 | (1.417,3.595) |
| Injury prevention guidance | |||||||
| Constant | −0.088 | 0.242 | 0.132 | 1 | 0.716 | 0.916 | – |
| Occupation of the father (control = White-collar workers) (P = 0.002) | |||||||
| Blue-collar workers | −0.288 | 0.413 | 0.487 | 1 | 0.485 | 0.750 | (0.334, 1.684) |
| Mixed white/blue-collar workers | −0.622 | 0.203 | 9.381 | 1 | 0.002 | 0.537 | (0.361, 0.799) |
| Others | −1.240 | 0.418 | 8.808 | 1 | 0.003 | 0.289 | (0.128, 0.656) |
| Annual family income (control = ≤0.15 million yuan) (P = 0.001) | |||||||
| 0.15–0.5 million yuan | 0.476 | 0.227 | 4.415 | 1 | 0.036 | 1.610 | (1.033, 2.511) |
| 0.5–1 million yuan | 0.485 | 0.308 | 2.474 | 1 | 0.116 | 1.624 | (0.888, 2.970) |
| 1 million yuan or higher | 2.997 | 1.071 | 7.822 | 1 | 0.005 | 20.016 | (2.451, 163.436) |
| Oral health care guidance | |||||||
| Constant | 0.273 | 0.108 | 6.327 | 1 | 0.012 | 1.313 | – |
| Household registration (control = local children) (P = 0.002) | |||||||
| Migrant children | −0.586 | 0.193 | 9.220 | 1 | 0.002 | 0.557 | (0.381, 0.813) |
| Mental health guidance | |||||||
| Constant | −1.341 | 0.218 | 37.953 | 1 | < 0.001 | 0.262 | – |
| Gender (control = male) (P = 0.009) | |||||||
| Female | 0.606 | 0.235 | 6.673 | 1 | 0.010 | 1.833 | (1.157, 2.904) |
| Occupation of the father (control = White-collar workers) (P = 0.014) | |||||||
| Blue-collar workers | −0.244 | 0.498 | 0.240 | 1 | 0.625 | 0.784 | (0.295, 2.080) |
| Mixed white/blue-collar workers | −0.739 | 0.249 | 8.841 | 1 | 0.003 | 0.478 | (0.293, 0.777) |
| Others | −1.050 | 0.562 | 3.495 | 1 | 0.602 | 0.350 | (0.116, 1.052) |