Table 4.
Multiple logistic regression analysis: macrosomia and significant confounding variables.
| Variable | Frequency of Macrosomia (%) | Wald | aOR (95% CI) | P value |
|---|---|---|---|---|
| Obese pre-pregnancy | 14.9 | 7.715 | 1.24 (1.07–1.44) | 0.005 |
| Obesity at end of pregnancy | 15.0 | 102.068 | 2.21 (1.90–2.58) | <0.0001 |
| Overweight at end of pregnancy | 9.6 | 64.688 | 1.66 (1.46–1.87) | <0.0001 |
| Excessive gestational weight gain |
13.0 | 102.551 | 1.78 (1.59–1.98) | <0.0001 |
| Pre-gestational diabetes | 14.5 | 6.662 | 1.75 (1.15–2.69) | 0.010 |
| Gestational diabetes | 11.0 | 39.190 | 1.39 (1.25–1.53) | <0.0001 |
| Multiparity | 10.0 | 5.623 | 1.24 (1.04–1.48) | 0.018 |
| Prolonged pregnancy | 19.6 | 151.575 | 2.67 (2.28–3.12) | <0.0001 |
| Male newborn | 10.0 | 175.021 | 1.89 (1.72–2.08) | <0.0001 |
aOR, adjusted OR; Adjusted for overweight and obesity pre-pregnancy and at the end pregnancy, EGWG, pre-gestational and gestational diabetes, multiparity, prolonged pregnancy, and male newborn.