The diets of school‐aged <scp>A</scp>boriginal youths in <scp>C</scp>anada: a systematic review of the literature
Bibliographic record
Abstract
BACKGROUND: Most national surveys examining diet leave large segments of the Aboriginal population under-represented. The present study aimed to: (i) review primary research studies that investigated the dietary intakes of Canadian school-aged Aboriginal youths; (ii) summarise the tools and methodologies currently used to measure diet in this population; and (iii) identify knowledge gaps and suggest areas of future research. METHODS: A systematic review of research published between January 2004 and January 2014 related to the diets of Canadian school-aged (6-18 years) Aboriginal youths was undertaken, including Medline, Scopus, ERIC, Web of Science and Google Scholar databases. Studies were summarised based on purpose, year, sample population, setting, dietary assessment method and main findings. RESULTS: Twenty-four studies were reviewed, all of which were cross-sectional in design. Most (n = 16; 67%) were from Ontario or Quebec, investigated the diets of First Nations (n = 21; 88%) youths and took place in remote or isolated settings (n = 18; 75%). Almost all of the studies used the 24-h recall to assess intake (n = 19; 79%), of which 89% used a single recall. The findings suggest that the diets of Aboriginal youths could be improved. Of particular concern are inadequate intakes of vegetables and fruit, milk and alternatives, fibre, folate, vitamin A, vitamin C, calcium and vitamin D, concomitant with an excess consumption of sugar sweetened beverages, snacks and fast foods. Traditional foods remain important but tend to be consumed infrequently. CONCLUSIONS: The diets of Canadian Aboriginal youths are energy-dense and nutrient-poor. The diets of Inuit and Métis youths, in particular, and perceptions of a balanced diet warrant further investigation.
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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 | 0.008 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.005 |
| Bibliometrics | 0.014 | 0.016 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".