Assessing the Impact of Pilot School Snack Programs on Milk and Alternatives Intake in 2 Remote First Nation Communities in Northern Ontario, Canada
Bibliographic record
Abstract
BACKGROUND: Canadian Aboriginal youth have poorer diet quality and higher rates of overweight and obesity than the general population. This research aimed to assess the impact of simple food provision programs on the intakes of milk and alternatives among youth in Kashechewan and Attawapiskat First Nations (FNs), Ontario, Canada. METHODS: A pilot school snack program was initiated in Kashechewan in May 2009 including coordinator training and grant writing support. A supplementary milk and alternatives program was initiated in Attawapiskat in February 2010. Changes in dietary intake were assessed using Web-based 24-hour dietary recalls in grade 6 to 8 students, pre- and 1-week post-program, with a 1-year follow-up in Kashechewan. Student impressions were collected after 1 week using open-ended questions in the Web survey. Teacher and administrator impressions were collected via focus groups after 1 year in Kashechewan. RESULTS: After 1 week, calcium intake increased in Kashechewan (805.9 ± 552.0 to 1027.6 ± 603.7 mg, p = .044); however, improvements were not sustained at 1 year; milk and alternatives (1.7 ± 1.7 servings to 2.1 ± 1.4 servings, p = .034) and vitamin D (2.5 ± 2.6 to 3.5 ± 3.4 µg, p = .022) intakes increased in Attawapiskat. Impressions of the programs were positive, though limited resources, staff, facilities, and funding were barriers to sustaining the consistent snack provision of the 1-week pilot phase. CONCLUSION: These illustrations show the potential of snack programs to address the low intakes of milk and alternatives among youth in remote FNs. Community-level constraints must be addressed for sustained program benefits.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".