Flavored Milk Consumers Drank More Milk and Had a Higher Prevalence of Meeting Calcium Recommendation Than Nonconsumers
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Some schools are removing flavored milk because of the perception that it negatively impacts children's overall diet. This study assessed the contribution of flavored milk to their diets. METHODS: Individual usual intakes (IUI) were calculated from 24-hour dietary recalls of children 2-18 years (N = 20,329) participating in National Health and Nutrition Examination Survey (NHANES) 2001-2012. IUI of >0.25 cup equivalent of flavored dairy milk defined consumers (N = 3564; 56% boys). Covariate-adjusted regression analyses using appropriate sample weights were calculated. Estimated Average Requirements (EAR) and Adequate Intakes (AI) determined the relation to dietary recommendations. Consumers were compared to nonconsumers (p ≤ .001). RESULTS: Flavored milk consumers consumed more milk. Consumers aged 2-3 years had higher mean added sugars intakes. Consumers aged between 2-3 and 9-13 years had a higher saturated fat (SFA) intake. Consumers aged 14-18 years had higher percent energy from SFA. Consumers had a lower mean percentage of children meeting AI for fiber and a higher percentage meeting the EAR for calcium. Consumers aged 4-8 and 9-13 years had a higher mean percentage of children meeting the EAR for magnesium. CONCLUSIONS: Consumption of flavored milk has the potential to increase milk consumption and reduce the percentage of children below the EAR for calcium; the percentage meeting AI for fiber was lower.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it