Cow's Milk Allergy and Bone Mineral Density in Prepubertal Children
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Recent data suggest that cow's milk allergy (CMA) has become more persistent, prolonging treatment via strict elimination of cow's milk products into a period of skeletal growth. The objectives of this study were to compare bone mineral density (BMD), vitamin D status, and dietary intakes of calcium and vitamin D between prepubertal children with persistent CMA and those with non-cow's milk food allergies (NCMA) as control subjects and to assess the use of and compliance to calcium and vitamin D supplementation among children with persistent CMA. METHODS: Fifty-two children with persistent CMA and 29 with NCMA were recruited. BMD was measured by using dual energy radiograph absorptiometry, and vitamin D status was assessed by using plasma 25-hydroxyvitamin D concentrations. Calcium and vitamin D intakes, as well as compliance to calcium and vitamin D supplementation, were recorded. RESULTS: Lumbar spine BMD z scores were significantly lower in children with CMA. Low bone mass was detected in 6% of the CMA group compared with none in the NCMA group. Children with CMA displayed significantly lower calcium intakes than control subjects. Vitamin D status was not reduced in children with CMA compared with control subjects. Fewer than one-half of children with CMA reported the use of calcium and vitamin D supplements. However, adherence was high among supplement users, with a mean compliance rate of 5.5 days per week. CONCLUSIONS: These prepubertal children with persistent CMA had lower lumbar spine BMD z scores than children with NCMA, which likely resulted from lower calcium intake.
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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 | 0.001 | 0.001 |
| 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".