A Community Trial Examining the Effectiveness of Iron-fortified Lentils to Improve Iron Status Among Bangladeshi Adolescent Girls: Results from a Baseline Survey (P10-099-19)
Bibliographic record
Abstract
Despite all efforts, iron deficiency (ID) and iron deficiency anaemia (IDA) among adolescent girls remains a public health concern for Bangladesh. The objective of the current analysis was to examine baseline data from an effectiveness trial with the aim to compare prevalence of anemia, ID and IDA with Bangladesh’s National Micronutrients Status Survey 2011–12. A community-based, double-blind, cluster randomized controlled trial is being conducted among n = 1260 Bangladeshi adolescent girls (10–17 years). Treatment groups include: 1) Fe-fortified lentils; 2) unfortified lentils and 3) usual intake (no intervention). Within the lentil groups, participants are being served 250 g cooked lentils with half a cup of cooked rice 5 days/week for 85 feeding days. All Fe-fortification and processing of lentils were carried out at the University of Saskatchewan. Anemia, ID and IDA were defined according to WHO (2011) cut-off values. At baseline, age of participants was 13.5 ± 2.0 years; BMI 18.2 ± 3.0 kg/m2 (or 38th percentile BMI-for-age); hemoglobin 12.4 ± 1.1 g/dL, serum ferritin 54.2 ± 36.3 ng/mL, sTfR 3.7 ± 2.6 μg/mL, and CRP 1.2 ± 3.9 mg/L. 26.6% girls were clinically anemic (non-pregnant-Hb <12 g/dl), 19.9% of those were mildly anemic (non-pregnant-Hb: 11–11.9 g/dl), 5.9% were moderately anemic (non-pregnant-Hb: 8.0–10.9 g/dl) anemic, and 0.8% were severely anemic (<8.0 g/dL). We found 9.2% of girls were ID (serum ferritin <15 μg/l). One-fourth of rural Bangladeshi adolescent girls were anemic, and one-tenth were ID. This shows that rural anemia prevalence has increased ∼8.5% (26.6% vs 18.1%), ID has slightly increased (9.2% vs 10.0%) and IDA has increased (6.1% vs 1.8%) over the 7 years since the Bangladesh National Micronutrients Status Survey 2011–12. We can conclude from these baseline data that Bangladesh has made poor progress in reducing adolescent girls’ anemia with public policy efforts. Global Institute for Food Security; Nutrition International.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".