Table 3 Multi-factor logistic regression analysis of anemia across the entire pregnancy
Variables | β | S.E | Waldχ2 | P | OR(95%CI) |
|---|---|---|---|---|---|
Area | |||||
South | 1.000 | ||||
North | -0.928 | 0.056 | 277.588 | < 0.001 | 0.395(0.354, 0.441) |
Residence | |||||
Urban | 1.000 | ||||
Rural | 0.188 | 0.036 | 27.381 | < 0.001 | 1.207(1.125, 1.295) |
Ethnicity | |||||
Han | 1.000 | ||||
Ethnic minorities | -0.458 | 0.085 | 29.323 | < 0.001 | 0.632(0.536, 0.747) |
Education | |||||
Primary school and lower | 1.000 | ||||
Junior high school | 0.185 | 0.089 | 4.289 | 0.038 | 1.203(1.010, 1.433) |
Senior high school/technical school | 0.163 | 0.090 | 3.296 | 0.069 | 1.177(0.987, 1.404) |
College and above | -0.111 | 0.093 | 1.427 | 0.232 | 0.895(0.746, 1.074) |
Gravidity | |||||
1 | 1.000 | ||||
2 | 0.024 | 0.038 | 0.379 | 0.538 | 1.024(0.950, 1.104) |
≥ 3 | 0.178 | 0.043 | 17.516 | < 0.001 | 1.195(1.099, 1.299) |
Number of fetuses | |||||
Singleton | 1.000 | ||||
Multiple | 0.391 | 0.152 | 6.648 | 0.009 | 1.478(1.098, 1.988) |