The Efficacy of Consuming Iron-Fortified Lentils on Body Iron (Fe) Status in Bangladeshi Adolescent Girls: A Sustainable, Food-Based Solution to Iron Deficiency
Bibliographic record
Abstract
Iron deficiency (ID) and iron deficiency anaemia (IDA) remain a public health concern among women and girls globally, and have numerous impacts on health, nutrition and socioeconomic status. Our objective was to investigate the efficacy of consuming iron-fortified lentils on iron status among rural Bangladeshi adolescent girls. In this community-based, double-blind, cluster-randomized controlled trial, girls (13.5 ± 2.0 years) were randomly assigned to three groups that received 1)cooked iron-fortified lentils (160 ppm Fe NaFeEDTA per kg of lentils); 2)cooked non-iron-fortified lentils; or 3)no lentils (usual intake group). We served 200 g of cooked lentils using a local daal recipe on five days/week, for 4 months. Iron status (sFer, sTfR, and Hgb) was assessed at baseline, 2 and 4 months. All analyses were adjusted for inflammation. There were no differences in baseline iron status among the three groups. sFer significantly increased by 21.9% (+5.7 μg/L, p < 0.001; 95% CI: 1.7, 9.5 μg/L) from baseline to 4 months in the iron-fortified lentil group, compared to a decline in sFer observed in the non-iron fortified lentil (53.3 vs. 38.6 μg/L, p < 0.01) and no lentil groups (53.6 vs. 39.5 μg/L, p < 0.01). Examining overall changes in iron status over 4 months, we observed maintenance in the iron-fortified group from baseline, compared to a decline in the other groups. We observed improvement in and maintenance of iron status in a population vulnerable to ID and IDA who consumed iron-fortified lentils for 4 months. Additionally, girls who consumed iron-fortified lentils had a 60% lower chance of developing clinical and subclinical ID (sFer < 15, 15–30 μg/L), and a 70% lower chance of developing sub-clinical IDA (sFer 15–30 μg/L + Hgb < 12 g/dL) compared to those who did not. Global Institute for Food Security.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".