The Relationship between Milk Fat Content, Vitamin D and Adiposity in Early Childhood
Bibliographic record
Abstract
Abstract BACKGROUND: Fortified cow’s milk is the main dietary source of vitamin D and an important source of dietary fat for North American children. Current guidelines recommend reduced milk fat consumption to reduce childhood obesity, yet the relationship between lower milk fat, vitamin D stores and adiposity is unclear. OBJECTIVES: The objective of this study was to determine the association between percent fat content of milk and both zBMI and 25-hydroxyvi-tamin D; secondly, to explore if volume of milk consumed modified this relationship. DESIGN/METHODS: A cross-sectional study of healthy urban children 12-72 months of age was conducted. Bivariate multiple linear regression was used to test the association between percent milk fat content and child 25-hydroxyvitamin D and zBMI concurrently. The interaction between volume of milk consumed and percent milk fat content was examined to explore how milk volume might modify these relationships. RESULTS: 2745 children were included in the analysis. Percent fat content of milk was positively associated with 25-hydroxyvitamin D (p=0.006), and negatively associated with zBMI (p<0.0001). Children who drank homogenized milk (3.25% fat) had 6.6 nmol/L (95% CI 5.49 to 7.71) higher median 25(OH)D concentration and 0.72 lower (95% CI 0.68 to 0.76) zBMI score than children who drank skim milk (0.1% fat). Volume of milk consumed potentiated the effect of percent fat content of milk on 25-hydroxyvitamin D (p=0.003) but not on zBMI (p=0.77). Children who drank 1 cup of homogenized milk each day had a similar 25-hydroxyvita-min D as children who drank 2.85 cups (95% CI 2.71 to 2.99) of skim milk, but had zBMI score 0.78 (95% CI 0.63, 0.93) units lower. CONCLUSION: Homogenized milk may be more appropriate than reduced fat milk in maximizing serum 25-hydroxyvitamin D and minimizing adiposity in early childhood. Current guidelines for reduced milk fat consumption in childhood may require further study to achieve desired outcomes.
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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 | 0.001 | 0.002 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".