The prevalence of eating behaviors among Canadian youth using cross-sectional school-based surveys
Bibliographic record
Abstract
BACKGROUND: Obesity is a growing public health concern in Canada. Excess weight is particularly a concern among youth given that obesity in youth predicts obesity in adulthood. Eating behaviors, both inside and outside the home have been associated with increased risk of obesity; however, there is little data among Canadian youth to monitor trends. METHODS: The School Health Action, Planning and Evaluation Surveys (SHAPES) were administered in schools. Our study examined 20, 923 students (grades 5-12) from four regions in Canada. The regions were Hamilton and Thunder Bay (both in Ontario), the Province of Prince Edward Island, and the Province of Quebec. RESULTS: Consuming breakfast daily was reported by 70% of grade 5-8 students, and 51% of grade 9-12's. Among students in grade 9-12, 52% reported eating with family members daily, compared with 68% in grade 5-8. Just over half of students in grade 5-8, and 70% in grade 9-12 reported eating at a fast-food place once a week or more. Among grade 5-8 students 68% reported eating in front of the television at least once per week, compared to 76% in grade 9-12. Obese students were more likely to watch TV while eating, and less likely to eat with a family member and eat breakfast. CONCLUSIONS: The findings suggest that only a modest proportion of youth report dietary patterns that have previously been associated with healthy eating and reduced risk of obesity. Later adolescence may be a critical time for intervention in health-related behaviors.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".