Cardiovascular risk factors and health behaviours in elementary school-age Inuvialuit and Gwich'in children
Bibliographic record
Abstract
OBJECTIVES: To determine cardiovascular risk factors and health behaviours in Aboriginal children from the Beaufort-Delta region (Northwest Territories). METHODS: A total of 91 elementary school-age children underwent a cross-sectional assessment of body mass index, waist circumference, blood pressure and aerobic fitness. Healthy living knowledge and behaviours, including frequency of self-reported physical activity (PA) and dietary intake, were also evaluated. RESULTS: A total of 49.5% of children were obese/overweight and 31.9% had elevated blood pressure. The percentages having one, two or three cardiovascular risk factor(s) were 64.4%, 42.2% and 15.6%, respectively, with no significant difference between boys and girls. Overall, the students obtained higher mean scores in the areas of healthy PA, body image, self-esteem and nutritious beverage knowledge (89%, 85%, 79% and 71% of the maximum scores, respectively). The lowest scores were in nutritious food consumption and healthy PA frequency (46% and 56% of the maximum scores, respectively). On average, children consumed 2.7 L of sugar-sweetened beverages weekly and <2 servings of fruits or vegetables daily. Children spent approximately 2 h per day watching television, playing games or using a computer. CONCLUSION: There is an urgent need for community-based approaches to address the high rates of obesity and related cardiovascular risk factors among these Aboriginal children. Given the disconnect between healthy living knowledge and behaviour, it is important that future treatment programs address other barriers faced by Aboriginal populations living in rural and remote regions, including the high cost and limited access to high-quality nutritious foods and beverages, and limited access to indoor recreational programs over the long winter season.
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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 | 0.000 | 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 | 0.001 |
| 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".