Table 2.
Results of stepwise multiple logistic regression identifying determinants of suboptimal iron status.
| Variable | ORa | 95.0% CI for OR | P value |
|---|---|---|---|
| Any blood donation in the past year | 6.00 | 2.81, 12.82 | <0.001 |
| Asian ethnicity | 4.84 | 2.29, 10.20 | <0.001 |
| Previous iron deficiency | 2.19 | 1.16, 4.13 | 0.016 |
| Milk and yoghurt dietary pattern (SD) | 1.44 | 1.08, 1.93 | 0.012 |
| Duration of menstrual period (d) | 1.38 | 1.12, 1.68 | 0.002 |
| Meat and vegetable dietary pattern (SD) × having children | 0.17 | 0.08, 0.39 | <0.001 |
aChange in odds of suboptimal iron status occurring for each unit change in determinant variable. If >1.0, as determinant variable increases, odds of suboptimal iron status increase. If <1.0, as determinant variable increases, odds of suboptimal iron status decrease.
R 2 = 0.22 (Hosmer and Lemeshow), 0.19 (Cox and Snell), and 0.31 (Nagelkerke). Model χ 2 = 79.32.
CI: confidence interval; d: days; OR: odds ratio; SD: standard deviation.