Prenatal vitamin D supplementation and infant vitamin D status in Bangladesh (256.4)
Bibliographic record
Abstract
We aimed to determine the effect of prenatal vitamin D supplementation on infant vitamin D status in Dhaka, Bangladesh (23°N), where vitamin D supplementation is not routine. Serum 25‐hydroxyvitamin D (25(OH)D) concentration was measured at <1, 2, 4, and 6 months of age among infants born to women randomized to receive vitamin D3 (VD: 35,000 IU/week) or placebo (PL) during the 3rd trimester of pregnancy. Mean 25(OH)D (n=115) was significantly higher among infants born to VD vs PL mothers at <1 month (80 ± 20 nmol/L vs 22 ± 18 nmol/L; P<0.001) and at 2 months of age (52 ± 19 nmol/L vs 40 ± 23 nmol/L; P=0.04), but the groups were similar at 4 months (P=0.41) and 6 months (P=0.27). Among infants of PL mothers (n=55), mean 25(OH)D increased to 78 ± 29 nmol/L by 6 months of age. Measured environmental (e.g. season) and dietary factors did not substantially explain the increase in 25(OH)D with age. In conclusion, high‐dose prenatal 3rd trimester vitamin D supplementation substantially improved infant vitamin D status during the early postnatal period. The age‐related rise in 25(OH)D from birth to 6 months suggested that routine postnatal infant vitamin D supplements may have a limited role in this setting. Grant Funding Source : Supported by the Thrasher Fund and the Department of Paediatrics, Hospital for Sick Children
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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 | 0.001 |
| 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) | 0.002 | 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".