Beverage intake of Mexican school‐age children
Bibliographic record
Abstract
Introduction Mexico is experiencing an increasing epidemic of childhood obesity. Caloric intake from beverages is not offset by reductions in caloric intake from food. The Mexican Government has instituted policies to reduce caloric beverage consumption in schools, but the contribution of caloric beverages to overall energy intake is not known. Objective To assess beverage intake in children 9–11 y old attending public schools in Mexico City. Methodology We administered a previously‐developed, child‐friendly beverage diary. Children (n=131) completed three weekday diaries and (96) one weekend diary. Results 3592 reports of beverage consumption were obtained. During weekdays, the distribution of consumed beverages was: sugar‐sweetened beverages 48.8%, natural water 31.3%, unsweetened whole milk beverages 11.4% During weekends 798 reports from 96 children were obtained, the distribution was: sugar‐sweetened beverages 58.1%, natural water 32.2%, unsweetened whole milk beverages 11.6%. Conclusion Caloric beverages are consumed frequently, especially on weekends and likely contribute to the growing prevalence of overweight in Mexican 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 | 0.001 | 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) | 0.004 | 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".