Dietary intakes, food behaviours and health indicators among Métis youth in Manitoba, Canada
Bibliographic record
Abstract
Abstract Objective: Poor diets and food insecurity during adolescence can have long-lasting effects, and Métis youth may be at higher risk. This study, as part of the Food and Nutrition Security for Manitoba Youth study, examines dietary intakes, food behaviours and health indicators of Métis compared with non-Métis youth. Design: This observational cross-sectional study involved a cohort of adolescents who completed a self-administered web-based survey on demographics, dietary intake (24-h recall), food behaviours, food security and select health indicators. Setting: Manitoba, Canada Participants: Participants included 1587 Manitoba grade nine students, with 135 (8·5 %) self-identifying as Métis, a distinct Indigenous nation living in Canada. Results: Median intake of sugar was significantly higher in Métis (89·2 g) compared with non-Métis (76·3 g) participants. Percent energy intake of saturated fat was also significantly higher in Métis (12·4 %) than non-Métis (11·6 %) participants. Median intakes of grain products and meat and alternatives servings were significantly lower among Métis than non-Métis (6·0 v. 7·0 and 1·8 v. 2·0, respectively) participants. Intake of other foods was significantly higher in Métis (4·0) than non-Métis (3·0). Significantly more Métis participants were food insecure (33·1 %) compared with non-Métis participants (19·1 %). Significantly more Métis participants ate family dinners and breakfast less often than non-Métis participants and had lower self-reported health. Significantly more Métis participants had a BMI classified as obese compared with non-Métis participants (12·6 % v. 7·1 %). Conclusions: The dietary intakes observed in this study, both among Métis and non-Métis youth, are concerning. Many have dietary patterns that put them at risk for developing health issues in the future.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.000 |
| 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".