Adolescents' food habits: results of the Health Behaviour in School-aged Children survey
Bibliographic record
Abstract
The present study describes food habits in adolescents in thirty-five countries and regions (European countries/regions, Israel, Canada and the USA), based on the food-frequency questions from the cross-sectional Health Behaviour in School-aged Children survey of the year 2001-2. A total of 162,305 pupils of 11, 13 or 15 years of age completed an anonymous standardised questionnaire on health and lifestyle factors during one school hour. Large differences in food habits between countries were found: the consumption frequency of fruit varied from on average 2.8 to 5 d/week, the consumption of vegetables varied from on average 2.4 to 5.5 d/week, the consumption of soft drinks varied from 2.1 to 5 d/week and sweet consumption from 2.6 to 5 d/week. Methodological problems in comparing between countries are discussed. Nonetheless, the results indicate a need for national and international health promotion programmes to improve adolescents' food habits.
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How this classification was reachedexpand
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 | 0.001 | 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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".