Table 4.
The relationship between maternal multivitamin-mineral supplement use during pregnancy and birth outcomes, Leeds, UK, 2003–06
| Daily multivitamin–mineral supplements | Unadjusted difference (95% CI) | P value | Adjusted difference (95% CI) | P value |
|---|---|---|---|---|
| Birthweight (g) | ||||
| First trimester | 30.0 (−45.7, 105.7) | 0.5 | *16.9 (−42.3, 75.8) | 0.7 |
| Second trimester | 38.4 (−53.6, 130.5) | 0.4 | 29.4 (−43.0, 101.5) | 0.3 |
| Third trimester | −29.1 (−179.9, 121.6) | 0.7 | −50.4 (−168.7, 67.9) | 0.4 |
| Customised birth centile | ||||
| First trimester | 3.6 (−0.2, 7.5) | 0.06 | **1.8 (−2.3, 5.9) | 0.4 |
| Second trimester | 5.1 (0.4, 9.7) | 0.04 | 3.3 (−1.8, 8.3) | 0.3 |
| Third trimester | 1.2 (−6.5, 8.8) | 0.8 | −2.3 (−10.3, 5.7) | 0.8 |
| Small for gestational age (<10th centile) | ||||
| First trimester | 1.0 (0.6, 1.4) | 0.8 | 1.3 (0.8, 1.9) | 0.3 |
| Second trimester | 0.9 (0.5, 1.4) | 0.6 | 1.1 (0.7, 1.9) | 0.7 |
| Third trimester | 0.7 (0.4, 1.3) | 0.3 | 0.9 (0.5, 1.7) | 0.8 |
| Preterm birth (<37 weeks) | ||||
| First trimester | 0.9 (0.5, 1.8) | 0.8 | ***1.3 (0.6, 2.7) | 0.5 |
| Second trimester | 1.0 (0.5, 2.2) | 0.9 | 1.8 (0.8, 4.1) | 0.2 |
| Third trimester | 1.8 (0.8, 4.4) | 0.2 | 3.4 (1.2, 9.6) | 0.02 |
Adjusted for gestational age, baby’s sex, maternal age, height, prepregnancy weight, ethnicity, parity, salivary cotinine levels, self-reported alcohol intake, past history of miscarriage, long-term chronic illness, index of multiple deprivation (IMD) score, educational attainment and maternal vegetarian diet in a multiple linear regression model.
Adjusted for salivary cotinine levels, self-reported alcohol intake, past history of miscarriage, long-term chronic illness, IMD score, educational attainment and maternal vegetarian diet in a multiple linear regression model.
Adjusted for salivary cotinine levels, self-reported alcohol intake, maternal age, maternal vegetarian diet, ethnicity, baby’s sex, parity, IMD score, educational attainment, past history of miscarriage and long-term chronic illness in an unconditional logistic regression model.