A Cluster RCT Evaluating the Effect of Iodized Salt on Infant Development in Amhara Region of Ethiopia
Bibliographic record
Abstract
Iodized has been associated with the physical and mental development of children. We examined the effects of iodized salt on the growth and mental development of infant. Forty‐four communities in the Amhara region were randomly assigned and had access to iodized salt early (intervention) or later through market forces (control). A total of 1220 pregnant women were recruited and their health and micronutrient status were assessed at enrollment. Data were collected on infants (2 to 13mo), including SES, diet, anthropometry, Hb, home stimulation and mental development (Bayley scales, Cognition, Expressive language, Receptive language and Fine motor scales). The median UI excretion was higher in the intervention vs controls, for both mothers during pregnancy (161 vs 121 µg/L, p<0.0001) and infants (141 vs 110 µg/L, p<0.02). Additionally, (45 vs 60%, p<0.05) of mothers and (37 vs 44%, p<0.05) of infants were iodine deficient. The intervention had a tendency to improve cognition with an effect size of 0.09, p=0.06, but did not affect the scores for the other three bayley scales. The intervention significantly improved home score (delta=0.45, p=0.04). Iodized salt intake improved iodine status of both pregnant women and their infants, and could lead to improved infant development. Funded by Micronutrients Initiative, Canada
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".