Examining differences in school hour and school day dietary quality among Canadian children between 2004 and 2015
Bibliographic record
Abstract
OBJECTIVE: The present study aimed to: (i) evaluate changes in Canadian children's dietary quality during school hours and on school days between 2004 and 2015; and (ii) explore whether changes in dietary quality over time were moderated by sociodemographic characteristics. DESIGN: Nationally representative 24 h dietary recall data were obtained from the 2004 (n 4827) and 2015 (n 2447) Canadian Community Health Surveys. Dietary quality was measured using the Canadian Healthy Eating Index (C-HEI) which evaluates respondents' compliance with 2007 national dietary recommendations, and the school-HEI which assesses respondents' dietary quality during school hours. Multivariable regression models compared differences in dietary quality between 2004 and 2015. Interaction effects were used to test whether changes over time were moderated by sociodemographic characteristics (sex, age group, ethnicity, residential location, province of residence, parental education, food security status). SETTING: Canada. PARTICIPANTS: Children aged 6-17 years. RESULTS: Mean school-HEI score rose from 51.3 to 58.0 points (maximum = 100) from 2004 to 2015 (P < 0.001). School-HEI sub-scores for total vegetables and fruit, whole fruit, dark green and orange vegetables, milk and alternatives, and meat and alternatives improved over time, but remained well below recommendations. Decreased energy from minimally nutritious foods accounted for 39 % of the improvement in mean school-HEI scores. Mean whole day C-HEI scores also improved (60.8 to 66.4 points, P < 0.001). There was no evidence of a moderating effect for any of the sociodemographic variables examined. CONCLUSIONS: Mean dietary quality of Canadian children during school hours and on school days improved modestly for all age and sex groups but remained below 2007 national dietary recommendations.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".