Table 5.
Binary logistic regression analysis of LBW-related risk factors.
| Variable (in the final model a) | B | Exp (B) | Odds Ratio (95% CI) |
|---|---|---|---|
| Monthly income | |||
| ≤400 | 2.489 | 12.047* | (1.680–86.401) |
| 401-550 | .719 | 2.052 | (0.290–14.506) |
| 550-700 | 1.149 | 3.154 | (0.524–18.973) |
| >700 | - | - | - |
| Passive smoking (yes) | 2.405 | 11.078* | (2.570–47.741) |
| Iron, calcium and vitamin D supplements (daily) | -1.857 | 0.156* | (0.040–0.610) |
| Maternal anemia (yes) | 1.607 | 4.986* | (1.287–19.318) |
| Gestational age | |||
| Preterm | 2.149 | 8.577* | (1.004–73.301) |
| Full-term | - | - | - |
| COVID-19 infection (yes) | 2.545 | 12.745* | (2.510–64.719) |
| Food supply affected by the COVID-19 pandemic (yes) | 2.880 | 17.806* | (2.196–144.343) |
*
– Statistically significant at P<0.05; a – Variables in the first step were all variables with a p-value of ≤0.2 in the chi-square test.