The Effectiveness of A School‐Based Nutrition Intervention on Children's Fruit, Vegetables, and Dairy Product Intake
Bibliographic record
Abstract
BACKGROUND: Most Canadian children do not meet daily recommendations for consumption of vegetables and fruits (V/F) and dairy products (DP). The aim of this study was to evaluate the impact of Team Nutriathlon on V/F and DP consumption of children. METHODS: Participants were 404 children from grades 5 and 6 (intervention group [IG] N = 242, control group [CG] N = 162). Teams of children were guided to increase their consumption and variety of V/F and DP over an 8-week period. Daily servings of V/F and DP were compared between groups at 4 time points: baseline (week 0), during (week 6), immediately after (week 9 or 10), and a follow-up 10 weeks after (week 20) the intervention. RESULTS: During and after the program and at follow-up, children in the IG consumed more servings of V/F and DP compared to the CG (group × time, p < .0001). Sex, baseline consumption levels, and school socioeconomic status did not influence the results (p > .05). CONCLUSIONS: Team Nutriathlon is an innovative school-based nutrition program that can help to increase the V/F and DP consumption of children.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".