The association between the introduction of a province-wide school nutrition policy and food consumption in elementary school children on Prince Edward Island
Bibliographic record
Abstract
Although the majority of Canadian provinces have now adopted province-wide school nutrition policies in an effort to improve children's eating habits and reduce childhood overweight, there has been little evaluation of healthy eating policies across the country. Nutrition policies for elementary schools in Prince Edward Island were adopted by all three school districts in 2005-2006, referred to as the PEI School Nutrition Policy in this thesis. This purpose of this study was to describe food consumption of those grade five and six students participating in the Eating Behaviour Survey in 2007 and to examine the association between any changes in food consumption and the implementation of the school nutrition policy (2001/02 vs. 2007). An in-class survey was used to describe food intakes according to grade and gender for all grade 5 and 6 children in PEI in 2007 (n=2026). A quasi-experimental, pre-test–post-test design was then used to compare food consumption data from a subset of 11 schools which were included in both a pre-policy (2001/02) survey and the post-implementation survey (2007) (n=1533). Study hypotheses were that (1) daily intakes of Milk and Alternatives (MA) and Vegetables and Fruit (VF) will be higher and intakes of low nutrient density foods (LNDF) will be lower following implementation of the PEI School Nutrition Policy compared to pre-implementation; (2) students will be more likely to consume adequate amounts of MA, VF following policy implementation compared to pre-implementation and (3) students will be less likely to consume three or more servings of LNDF following policy implementation compared to pre-implementation. Hierarchical linear modelling was then used to assess changes in food consumption between 2001/02 and 2007, with survey year as a fixed effect and gender, grade and the difference in students' total daily number of food servings between the two time periods as covariates.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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".