Preschool based point‐of‐use fortification with micronutrients for six months reduces anaemia with modest effects on growth in rural India (624.22)
Bibliographic record
Abstract
Objective: To examine the impact of preschool based point‐of‐use micronutrient fortification on children’s anemia, micronutrient status and growth. Methods: 320 pre‐schoolers were enrolled from 22 ICDS centres from rural Andhra Pradesh, India into a double masked, randomized 6‐month trial to receive either multiple micronutrient powder (MNP) or placebo powder, mixed into the lunch meal. Baseline and end line measures included hemoglobin (Hb), ferritin, sTfR, CRP, height and weight. Mixed effects models were used for mean comparison of groups and growth analysis adjusted for baseline and clustering effect. Results: Children in MNP showed significant (p<0.001) improvements in mean Hb from 10.9 to 12.1g/dL and ferritin 20.3to 25.1µg/L respectively compared to placebo, 10.9 to 11.21 for Hb and 16.6 to 14.6mg/L for ferritin. Mean sTfR decreased significantly in MNP group (0.98) compared to placebo (0.11). Height increased from 89.6 to 94.4 cm in MNP compared to placebo from 88.5 to 93.5cm. The height increment was significantly higher in MNP ( 5.1 vs 4.7 cm, p<0.05) . Significant difference in height increments (0.6 to 0.9 cm) was observed in MNP children with anemia/ID/IDA compared to placebo. Conclusions: Point‐of‐use fortification with MNP reduced IDA /anemia and showed height improvement amongst preschoolers. ClinicalTrials.gov Identifier: NCT01660958 Grant Funding Source : Mathile Institute for the Advancement of Human Nutrition and the Micronutrient Initiative
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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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".