Table 4 Multi-factor logistic regression analysis assignment table of factors affecting obstetric infection before and after the Universal Two-Child Policy
Project | Assignment | |||
|---|---|---|---|---|
Pregnancy complications | Â | |||
 Anemia | Yes = 1 | No = 0 | ||
 Diabetes | Yes = 1 | No = 0 | ||
 Nephropathy | Yes = 1 | No = 0 | ||
 Hepatopathy | Yes = 1 | No = 0 | ||
 Chronic hypertension | Yes = 1 | No = 0 | ||
 Mild preeclampsia | Yes = 1 | No = 0 | ||
 Severe preeclampsia | Yes = 1 | No = 0 | ||
Parity |  > 1 = 1 | 1 = 0 | ||
History of cesarean section |  ≥ 1 = 1 | 0 = 0 | ||
Frequency of pregnancy |  ≥ 1 = 1 |  < 1 = 0 | ||
Multiple pregnancy | Yes = 1 | No = 0 | ||
Gestational weeks |  ≥ 37 = 0 |  ≤ 27 = 1 | 28− = 2 | 33− = 3 |
Age group |  25−= 0 |  < 20 = 1 |  20− = 2 | 30– = 3, 35 ≥ 4 |
Number of prenatal checkups |  ≥ 8 = 0 |  < 8 = 1 | ||
Delivery mode | Vaginal delivery = 0 | Cesarean section = 1 | Abortion = 2 | |
Season | winter = 0 | Spring = 1 | Summer = 2, Autumn = 3 | |
Hospital-level | Tertiary Hospital = 0 | Primary Hospital = 1 | Secondary Hospital = 2 | |
City | Chengde = 0 | Baoding = 1 | Cangzhou = 2, Other cities = 3 | |
Education grade | College and above = 0 | Middle school = 1 | Primary school and below = 2 | |