Research Article
Patterns of Dietary Iron Intake, Iron Status, and Predictors of Haemoglobin Levels among Early Adolescents in a Rural Ghanaian District
Table 5
Binary logistic regression for predictors of anaemia.
| Predictors | β | Anaemia OR (95% CI) | value |
| SociodemographicsGender | Male | −0.492 | 0.6 (0.3–1.3) | 0.193 | Female | | 1 | |
| Level of education | JHS | 0.544 | 1.7 (0.7–4.0) | 0.213 | Primary | | 1 | |
| Guardian educational status | Formal | −0.944 | 0.4 (0.1–1.1) | 0.075 | Nonformal education | | 1 | |
| Dietary factors | Meal skipping | Yes | 0.367 | 1.4 (0.7–3.0) | 0.328 | No | 1 | | |
| Breakfast | Yes | −0.090 | 0.9 (0.3–2.6) | 0.864 | No | 1 | | |
| Snacking | Yes | 0.484 | 1.6 (0.7–3.6) | 0.234 | No | 1 | | |
| Dietary iron intake | Adequate | −0.011 | 1.0 (0.5–2.1) | 0.977 | Inadequate | 1 | | |
| Dietary vitamin C intake | Adequate | −0.080 | 0.9 (0.2–5.0) | 0.926 | Inadequate | 1 | | |
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; 95% CI: confidence interval; OR: odd ratio. |