Table 4 Logistic regression intercept and model coefficients for predictive model of low birth weight
Characteristics, n (%) | β |
|---|---|
Intercept | 13.20554481 |
Site | |
 Democratic Republic of the Congo | -0.67484249 |
 Zambia | -0.92682525 |
 Kenya | -1.40723953 |
 Guatemala | -0.12309222 |
 Belagavi, India | ref |
 Nagpur, India | 0.0235633 |
 Pakistan | 0.014503 |
 Bangladesh | -0.44466011 |
Maternal age | |
  < 20 | 0.09673194 |
 20–35 | ref |
  > 35 | 0.22481042 |
Maternal education | |
 No formal education | 0.22003102 |
 Primary/secondary | 0.13738521 |
 University +  | ref |
Parity | |
 0 | 0.15987423 |
 1 | ref |
 2 | -0.12135872 |
 3 | -0.14800543 |
 4 +  | -0.26721066 |
Maternal height in cm | -0.02437492 |
Maternal weight in kg | -0.02930749 |
Socioeconomic status score | |
  < 34 | 0.0989827 |
 34–65 | 0.07650165 |
 66 +  | ref |
Previous livebirth | |
 Yes | ref |
 No | 0.53308781 |
 No previous pregnancy lasting 20 + weeks | 0.15987423 |
Number of antenatal care visits | |
 0 | 0.68585889 |
 1–3 | 0.51101636 |
 4 +  | ref |
Iron supplement | 0.14676482 |
Vitamin or calcium supplement | 0.01635523 |
Hypertensive disorder | -1.18879701 |
Severe antepartum hemorrhage | -2.00835591 |
Severe infection during pregnancy | -1.07404103 |