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Table 4 Logistic regression analysis on factors influencing the catch-up growth of preterm infants after discharge

From: Factors affecting the catch-up growth of preterm infants after discharge in China: a multicenter study based on the health belief model

Variable Partial regression coefficient Standard error Wald P-value OR (95%CI)
Birth weight −1.248 0.663 3.548 0.060 0.287 (0.078–1.052)
Gestational age 1.801 0.664 7.351 0.007 6.055 (1.647–22.259)
Type 0.889 0.805 1.219 0.269 2.433 (0.502–11.788)
Delivery mode −0.899 0.563 2.544 0.111 0.407 (0.135–1.228)
Number of fetuses 0.923 0.571 2.613 0.106 2.518 (0.822–7.715)
Parity −0.670 0.606 1.222 0.269 0.512 (0.156–1.678)
Admission to the PICU 0.870 0.518 2.816 0.093 2.386 (0.864–6.588)
Regular health care 1.545 0.757 4.166 0.041 4.687 (1.063–20.656)
Caregivers’ educational background −0.532 0.254 4.395 0.036 0.587 (0.357–0.966)
Mothers’ daily contact with the baby 2.305 0.823 7.838 0.005 10.029 (1.997–50.372)
Head of the feeding program −0.636 0.735 0.750 0.386 0.529 (0.125–2.234)
Monthly average family income 0.817 0.306 7.113 0.008 2.264 (1.242–4.128)
Maternal history 0.805 0.502 2.579 0.108 2.238 (0.837–5.98)
Breastfeeding −0.092 0.636 0.021 0.885 0.912 (0.262–3.174)
Addition of breast milk supplements 1.453 0.676 4.620 0.032 4.274 (1.137–16.071)
Daily milk volume 1.362 0.557 5.978 0.014 3.904 (1.31–11.633)
Problem with adding supplementary food 0.497 0.577 0.741 0.389 1.643 (0.531–5.089)
Previously diagnosed with malnutrition before −0.766 0.527 2.108 0.147 0.465 (0.165–1.307)
Knowledge score 0.024 0.087 0.076 0.783 1.024 (0.863–1.216)
Health belief score 0.027 0.021 1.605 0.205 1.027 (0.985–1.071)
  1. Birth weight: < 1500 g = 1, 1500~2000 g = 2, > 2000 g = 3; Gestational age: <32w = 1, 32~34w = 2, > 34w = 3; Type: SGA = 1,AGA = 2; Delivery mode: Caesarean = 1, Natural = 2; Number of fetuses: Single = 1, Double = 2, Three and above = 3; Parity: First = 1, Second = 2, Other = 3; Admission to the PICU: Yes = 1,No = 2; Regular health care: No = 1,Yes = 2; Caregivers’ educational background: Junior middle school and below = 1, Senior middle school = 2, Junior college = 3, Undergraduate = 4, Graduate students and above = 5; Mothers’ daily contact with the baby: <10 h = 1, ≥ 10 h = 2,; Head of the feeding program: Mother = 1, Father = 2, Ancestors = 3, Other = 4; Monthly average family income (RMB): <5000 = 1, 5000–10000 = 2, 10001–20000 = 3, >20000 = 4; Maternal history: Yes = 1, No = 2; Breastfeeding: Yes = 1, No = 2; Addition of breast milk supplements: No = 1,Yes = 2; Daily milk volume: Lower than normal = 1, Basically normal = 2, Higher than normal =3; Problem with adding supplementary food:Yes = 1,No = 2; Previously diagnosed with malnutrition before:Yes = 1, No = 2