[CONSUMPTION OF READY-TO-EAT CEREAL IS INVERSELY ASSOCIATED WITH BODY MASS INDEX IN 6-13 YEARS OLD CHILEAN SCHOOLCHILDREN].
Bibliographic record
Abstract
BACKGROUND AND AIMS: childhood obesity in Chile is a serious problem with the prevalence continuing to increase over the last decade, despite all governmental efforts to diminish it. Studies indicate that the consumption of certain foods may help to control body weight. The objective of this study was to evaluate the relationship between ready-to-eat cereals (RTEC), body mass index and nutritional intake of macronutrients and micronutrients in school children from Santiago, Chile. METHODS AND RESULTS: the study included 1 477 children aged 6-13 years who were evaluated by trained nutritionists. Weight, height and waist circumference were measured and a 24-hour recall questionnaire was administered in which the hours spent watching TV were also recorded. Overall, 32% of boys and 28 % of girls were overweight but the difference between them was not significant. All children, regardless of sex, showed a significant inverse relationship between amounts of RTEC consumed and body mass index (BMI). Those girls that consumed higher amount of RTEC had a reduced waist circumference than those that had a lower intake. A high consumption of RTEC in all children was related to a higher intake of calories, proteins, carbohydrates, calcium and zinc and to a lower intake of calories from fat. RTEC consumption was also associated with lower risk of being overweight/obese. CONCLUSION: this study identifies RTEC intake as a potential indicator of a healthy diet. Controlled interventions are necessary to isolate the effect of RTEC consumption from other participating factors.
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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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".