Nutrient adequacy and nutrient sources of adults among ninety-two First Nations communities across Canada
Bibliographic record
Abstract
OBJECTIVES: To identify food sources of nutrients in First Nations adults in Canada and to establish whether these populations are meeting their nutrient requirements and whether traditional foods (TF) contribute to better nutrient intake. METHODS: parallel. Twenty-four-hour recalls were conducted in 92 First Nations communities from 2008 to 2016. Repeat recalls were attempted with 20% of participants to adjust for within-person variation and estimate the proportion of individuals below recommendations according to Institute of Medicine guidelines. Nutrients from days with and without TF were compared. The main food sources of select nutrients were identified, including TF. RESULTS: Mean energy intakes among women and men ranged from 1664 to 1864 and from 1761 to 2298 kcal/day respectively. Most macronutrients were within the acceptable macronutrient diet range except for fat in most age groups and carbohydrates in men 71 years of age and older. Saturated fat was above recommendations for all ages. Only niacin was identified as above recommendations in all age and sex categories. Days where TF were eaten showed greater intakes of key nutrients. CONCLUSION: It is imperative that we find culturally appropriate ways to improve the quality and nutritional value of First Nations Peoples food intake by improving TF access and use on the one hand and conversely providing better quality store-bought foods. For success in this, we must empower First Nations communities and health practitioners to collaboratively overcome these challenges.
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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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".