READY TO EAT CEREAL (RTEC) CONSUMPTION POSITIVELY AFFECTS TOTAL DAILY NUTRIENT INTAKES IN HISPANIC CHILDREN AND ADOLESCENTS.
Bibliographic record
Abstract
To examine the impact of breakfast meal pattern on nutrient intake status of Hispanic children and adolescents (N=3220), we compared breakfast skippers (S), RTEC and other breakfast consumers using 24 hour recall data from the 1999–2002 National Health and Nutrition Examination Survey. Our data indicated that RTEC breakfast consumers had significantly (p<0.05) higher mean daily intakes of dietary fiber and 11 vitamins and minerals, including vitamins A, B 1 , B 2 , B 6 , folic acid, niacin, iron and zinc, as compared to breakfast skippers. Among the groups compared, RTEC consumers showed the highest intake levels of short fall nutrients (calcium, magnesium, potassium, and fiber), while reporting the lowest % energy intake from total fat in all age groups. Daily intakes of vitamins B 12 , C, E, and % energy intake from saturated fat were not different among the groups. Breakfast consumers in general reported higher energy intakes than skippers. image These data suggest that RTE cereals can be important sources of these key nutrients in Hispanic children and adolescents.
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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".