Education and Improved Iron Intakes for Treatment of Mild Iron-Deficiency Anemia in Adolescent Girls in Southern Benin
Bibliographic record
Abstract
BACKGROUND: To our knowledge, the impact of a nutrition education program combined with an increase in bioavailable dietary iron to treat iron-deficiency anemia has never been studied in adolescent girls. OBJECTIVE: To evaluate the impact of an intensive dietary program for the treatment of iron-deficiency anemia in 34 intervention and 34 control boarding-school girls aged 12 to 17 years from Benin. METHODS: A quasi-experimental design consisting of 4 weeks of nutrition education combined with an increase in the content and bioavailability of dietary iron for 22 weeks was implemented in the intervention school, but not in the control school. Data were obtained from both groups from a nutrition knowledge questionnaire, 24-hour dietary recalls, anthropometric measurements, measurement of iron status indices, and screening for malarial and intestinal parasitic infections. RESULTS: Nutrition knowledge scores and mean intakes of nutrients, including dietary iron, absorbable iron, and vitamin C, were significantly higher in the intervention group (p < .05) than in the control group after 26 weeks. Mean hemoglobin and serum ferritin values were also significantly higher in the intervention group than in the control group (122 vs. 112 g/L [p = .0002] and 32 vs. 19 microg/L [p = .04], respectively), whereas the prevalence of anemia (32% vs. 85% [p = .005] and iron-deficiency anemia (26% vs. 56% [p = .04]) was significantly lower in the intervention group than in the control group. No significant differences between the groups were observed in intestinal parasitic infections or malaria status postintervention. CONCLUSIONS: A multidietary strategy aiming to improve available dietary iron can reduce iron-deficiency anemia in adolescent girls.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".