Intakes of milk and alternatives among on-reserve First Nations youth in northern and southern Ontario, Canada
Bibliographic record
Abstract
OBJECTIVE: To assess the adequacy of milk and alternatives, Ca and vitamin D intakes in First Nations (FN) youth in Ontario, Canada. Intakes were compared with the general population and dietary standards. Variation in intakes by community (proxy for remoteness) and BMI was examined. DESIGN: Data were collected by 24 h recall between November 2003 and June 2010. Intakes were analysed descriptively. Variation in intakes, by community and BMI category, was assessed using ANOVA. SETTING: Five remote FN communities of the Mushkegowuk Territory (northern Ontario, Canada) and two less-remote southern Ontario FN communities. SUBJECTS: Schoolchildren (n 457) in grades 6 to 12. RESULTS: Compared with Canada's Food Guide recommendations, 72.6 to 84.7% had an inadequate intake of milk and alternatives depending on age and sex group; 86.2% of individuals fell below the RDA for Ca; 96.4% fell below the RDA for vitamin D. Community variation in intakes was detected, although in all cases Fort Albany had higher intakes, even when it was the more northern (remote) community. A BMI × sex interaction was found for intake of milk and alternatives (P = 0.041): an inverse relationship between intake and BMI was seen in females; in males, those who were overweight had the highest intake, followed by normal-weight and obese youth. CONCLUSIONS: The nutritional inadequacies parallel the results of other Canadian studies of Aboriginal populations. Population health interventions to improve intakes are warranted. Moreover, community variation in intakes exists among FN youth in the present study (Fort Albany pairs only), but results were not as expected.
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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 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".