Weight Status and Determinants of Health: In Manitoba Children and Youth
Bibliographic record
Abstract
PURPOSE: Because of the tremendous increase in overweight and obesity in Canadian children and youth in recent decades, we examined associations among health determinants, healthy living characteristics, and overweight and obesity in Manitoba children and youth. METHODS: Using descriptive statistics and logistic regression, we identified factors associated with measured overweight and obesity in a sample of 1651 Manitoba children and youth aged two to 17 years from the 2004 Canadian Community Health Survey 2.2-Nutrition. RESULTS: Thirty-one percent of the children and youth were overweight or obese. Males aged 12 to 17 or from food-insecure homes were more likely to be overweight or obese than were younger males or males from food-secure households. Females from households with higher parental education were less likely to be overweight or obese than were those from households with lower parental education. Female youth who were sedentary for at least three hours daily were more likely to be overweight or obese than were less sedentary female youth. A trend toward significance with overweight or obesity in youth was noted with levels of daily fruit and vegetable consumption and regular physical activity. CONCLUSIONS: Overweight and obesity in Manitoba children and youth are associated with socio-economic and demographic characteristics, and with food and activity behaviours. These findings can inform health and nutrition policy and practice by indicating health inequities that require particular attention.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".