Table 3.

Multivariate analyses for neonatal outcomes: logistic regressions

Characteristics	OR (95% CI), P-value	Model used
		AOR	95% CI	P-value
Dependent variable: neonate medical problem requiring neonatal intensive care unit transfer*
Later delivery month	0.19 (0.08–0.45), <0.001	0.21	0.087–0.494	<0.001
Caffeinated consumption	7.46 (1.68–33.33), 0.008	4.37	0.92–20.87	0.064
Tobacco smoking	0.27 (1.29–10.75), 0.015	3.26	1.02–10.49	0.047
Mother education	0.60 (0.53–2.37), 0.468	0.57	0.11–3.10	0.519
Dependent variable: underweight baby (<2750g)**
Later delivery month	0.20 (0.08–0.51), 0.001	0.22	0.09–0.50	<0.001
Tobacco smoking	0.44 (0.21–0.93), 0.030	1.79	0.81–3.96	0.151
Category C drug	2.15 (1.16–4.00), 0.016	2.06	1.06–4.02	0.034
Passive smoking	2.23 (1.20–4.16), 0.011	2.20	1.13–4.31	0.021
Mother education	0.84 (0.36–1.98), 0.696	1.40	0.52–3.77	0.504

Notes:

^*Nagelkerke R² = 0.252, Hosmer–Lemeshow P = 0.477, 95.5% correctly classified;

^**Nagelkerke R² = 0.289, Hosmer–Lemeshow P = 0.568, 94.3% correctly classified. Collinearity absence was verified. Independent variables entered in the initial model were age of the mother, geographical origin, body mass index before pregnancy, education level, occupation, parity, delivery type, medical problem types during pregnancy (anemia, hypertension, gestational diabetes), weight gain during pregnancy, number of live children, delivery term, and exposure to medications and licit substances.

Abbreviations: CI, confidence interval; OR, unadjusted odds ratio; AOR, adjusted odds ratio.