Table 2.
Multivariable analysis by logistic regression (hierarchical models).
| Level | Variable | OR [CI 95%] ¹ | p-value |
|---|---|---|---|
| 1 | Sex of baby | 0,569 | |
| Female | 1,00 | ||
| Male | 0,85 [0,48–1,49] | ||
| 2 | Age of the mother | 0,754 | |
| < 30 years old | 1,10 [0,61–1,99] | ||
| ≥ 30 years old | 1,00 | ||
| 2 | Maternal smoking | 0,023 | |
| Has never smoked | 1,00 | ||
| Currently smokes/has smoked | 2,14 [1,11–4,14] | ||
| 3 | Breastfeeding | 0,046 | |
| < 6 months | 1,99 [1,01–3,94] | ||
| ≥ 6 months | 1,00 | ||
| 4 | Sugary beverages | 0,458 | |
| Has not consumed | 1,00 | ||
| Has consumed | 1,37 [0,59–3,10] | ||
| 5 | Collect center | ||
| South | 1,00 | ||
| Northeast | 0,18 [0,07–0,40] | <0,001 | |
| North | 0,40 [0,18–0,89] | 0,024 |
1
Odds ratio (OR) and 95% confidence interval (95% CI).