Efficacy of multiple micronutrient supplementations on child health: study design and baseline characteristics.
Bibliographic record
Abstract
BACKGROUND: The rates of anemia in children in southern Israel are high despite the current prevention strategy. A daily dose of "Sprinkles" (SuppleForte, Heinz, Canada), a micronutrient home supplementation, was proven effective for the treatment of anemia worldwide. OBJECTIVES: To assess the efficacy of Sprinkles, a novel supplementation formulation, in the primary prevention of anemia in infants who have free access to health care services. METHODS: A two-arm open-labeled cluster randomized controlled clinical trial was performed in 6 month old Bedouin and Jewish infants. The Sprinkles arm received sachets with iron, vitamins A and C, folic acid and zinc, and the control arm received standard treatment (liquid iron and vitamins A and D). The infants were from families attending Mother and Child Health clinics during 2005-2007. Intervention and follow-up were conducted for babies aged 6-12 months. Health outcomes (hematologic and nutritional indicators, growth parameters, morbidity rates) were evaluated at 12 and 18 months. RESULTS: The final study population numbered 621 infants (328 Bedouin and 293 Jewish); of the parents approached 88.5% agreed to participate. Hemoglobin > 11 g/dl was found in 55% of Bedouin and 40% of Jewish infants (P < 0.01). Bedouin infants had significantly lower serum concentration of iron, folic acid and zinc. All background, hematologic and micronutrient indicators were similar in the two study arms except for a slightly but not clinically significant difference in hemoglobin and hematocrit levels in Bedouins. CONCLUSIONS: Our findings indicate the need to improve the micronutrient status of infants living in the Negev. A cluster randomized trial in MCH clinics is a feasible option.
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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 | 0.010 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".