Emerging obesity and dietary habits among James Bay Cree youth
Bibliographic record
Abstract
OBJECTIVE: To describe dietary habits and extent of overweight and obesity among Cree youth. DESIGN: Dietary intake and habits were assessed by a 24 h recall and FFQ as part of a cross-sectional survey. SETTING: Three Cree communities in northern Québec, Canada. SUBJECTS: A total of 125 youth aged 9-18 years. RESULTS: Overall 67·6 % of the study population was either at risk of overweight or overweight. Over 98 % had a usual saturated fat intake over 10 % of energy while 65 % had a lower consumption of fruit/vegetables and 95 % had a lower consumption of milk and milk products than recommended by Canada's Food Guide. The majority (96·8 %) consumed high-fat foods (>40 % of total energy as fat), which accounted for 39 % of total energy intake (EI). Similarly, 92·8 % consumed high-sugar food and beverages (>25 % of total energy as sugar), which accounted for 12·8 % of total EI. Furthermore, 95 % of the youth had a Healthy Eating Index (HEI) below the recommended score of 80 or above. Certain measures of diet quality (traditional food (TF) consumption, HEI and vegetables and fruit consumption) were significantly correlated with adiposity measures. CONCLUSIONS: A high prevalence of low-diet quality was found with a high degree of sugar and fat intake and a low consumption of vegetables/fruit and milk/milk alternates and any weekly TF. Dietary interventions are sorely needed.
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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 | 0.001 |
| 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) | 0.002 | 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".