Binary logistic regression for adequate levels of urinary iodine concentration
| Variables . | OR . | 95% CI . | P . |
|---|---|---|---|
| Iodine supplementation | 4.4 | 1.2-15.9 | .03 |
| Maternal age, y | 0.9 | 0.8-1.1 | .25 |
| Smoking | 2.6 | 0.5-12.2 | .24 |
| Preconception BMI | 0.9 | 0.8-1.1 | .34 |
| Iodine dietary consumption, µg/d | 0.9 | 0.9-1.0 | .56 |
| Gestational age, wk | 0.8 | 0.6-1.1 | .17 |
| Variables . | OR . | 95% CI . | P . |
|---|---|---|---|
| Iodine supplementation | 4.4 | 1.2-15.9 | .03 |
| Maternal age, y | 0.9 | 0.8-1.1 | .25 |
| Smoking | 2.6 | 0.5-12.2 | .24 |
| Preconception BMI | 0.9 | 0.8-1.1 | .34 |
| Iodine dietary consumption, µg/d | 0.9 | 0.9-1.0 | .56 |
| Gestational age, wk | 0.8 | 0.6-1.1 | .17 |
Comparators: no iodine supplementation, no smoking.
Abbreviations: BMI, body mass index; OR, odds ratio.
Binary logistic regression for adequate levels of urinary iodine concentration
| Variables . | OR . | 95% CI . | P . |
|---|---|---|---|
| Iodine supplementation | 4.4 | 1.2-15.9 | .03 |
| Maternal age, y | 0.9 | 0.8-1.1 | .25 |
| Smoking | 2.6 | 0.5-12.2 | .24 |
| Preconception BMI | 0.9 | 0.8-1.1 | .34 |
| Iodine dietary consumption, µg/d | 0.9 | 0.9-1.0 | .56 |
| Gestational age, wk | 0.8 | 0.6-1.1 | .17 |
| Variables . | OR . | 95% CI . | P . |
|---|---|---|---|
| Iodine supplementation | 4.4 | 1.2-15.9 | .03 |
| Maternal age, y | 0.9 | 0.8-1.1 | .25 |
| Smoking | 2.6 | 0.5-12.2 | .24 |
| Preconception BMI | 0.9 | 0.8-1.1 | .34 |
| Iodine dietary consumption, µg/d | 0.9 | 0.9-1.0 | .56 |
| Gestational age, wk | 0.8 | 0.6-1.1 | .17 |
Comparators: no iodine supplementation, no smoking.
Abbreviations: BMI, body mass index; OR, odds ratio.
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