Dietary nutrients and anthropometry of Dene/Métis and Yukon children
Bibliographic record
Abstract
OBJECTIVE: To describe nutrient intakes and anthropometry of 10-12-year-old Dene/Métis and Yukon children in the Canadian Arctic. STUDY DESIGN: 24 h-recall interviews (n = 222 interviews) were conducted on Canadian Dene/Métis and Yukon children in five communities during two seasons in 2000-2001; the children were measured for height and weight (n = 216). METHODS: Assessment of nutrient adequacy used Dietary Reference Intakes (DRIs) including cut-point procedures. Anthropometric measurements (height and weight) were assessed and body mass index (BMI) was compared to the 2000 CDC Growth Charts. RESULTS: Thirty-two percent of the children were above the 85th percentile of BMI-for-age. More than 50 percent of children were below the Estimated Average Requirement (EAR) for vitamins A and E, phosphorus and magnesium; mean intakes were below the Adequate Intake (AI) for vitamin D, calcium, dietary fiber, omega-6 fatty acids, and omega-3 fatty acids. Nutrients that were probably adequate for some gender/season groups were protein, carbohydrate, iron, copper, selenium, zinc, manganese, riboflavin and vitamins B6 and C. CONCLUSIONS: Excessive prevalence of overweight and inadequacy of some nutrients were observed among Dene/Métis and Yukon children, suggesting a necessity for dietary improvement. However, many nutrients were adequate, in some cases probably due to continued traditional food use.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".