Can dietary treatment without iron supplementation correct mild iron deficiency anemia in young Beninese adolescent girls?
Bibliographic record
Abstract
The impact of a 4‐weeks nutrition education program combined with an increase in the content and bioavailability of dietary iron for 22 weeks was studied in 34 intervention boarding‐school girls who suffered from mild iron deficiency anemia. Thirty‐four anemic adolescent girls from another boarding‐school not exposed to the dietary program, served as control. There were no significant differences between the two groups for iron and vitamin C intakes at baseline. Within the intervention group, dietary iron increased from baseline (18.2 ± 5.0 mg) to mid (21.6 ± 5.4 mg) and post‐intervention (23.2 ± 4.5 mg) indicating a significant time effect interaction. In the control group, dietary iron intakes decreased from baseline (17.0 ± 3.6 mg) to mid‐intervention (15.6 ± 6.8mg) but increased at the end of the study (18.3 ± 5.9 mg), although the interaction time effect was not significant. A significant group‐by‐time interaction was observed between the two groups for dietary iron. Similar results were observed for all other nutrients including absorbable iron. A significant reduction in the prevalence of anemia (68%) and iron‐deficiency anemia (74%) was observed in the intervention group compared to the control group (15 and 44% respectively). A multi‐dietary strategy aiming to improve iron intakes and bioavailability without iron supplementation reduced iron deficiency anemia in these young Beninese adolescent girls.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".