Effects of physical activity on pediatric reference data for obesity
Bibliographic record
Abstract
PURPOSE: To examine the influence of physical activity on pediatric obesity reference data for Canada. METHODS: The sample included 3527 boys and 3554 girls, 6 to 18 years of age, from the 2004 Canadian Community Health Survey: Nutrition component. The heights and weights of the participants were directly measured, and the body mass index was calculated (BMI: kg/m(2)). Physical activity levels were reported using an interviewer-administered questionnaire. Participants were divided into low and high physical activity groups, based on age-specific physical activity levels (lower and upper quartiles). BMI percentiles (25th, 50th, 75th, 85th, 95th) were generated by sex using the LMS method, separately by physical activity groups. RESULTS: There were only minor differences in BMI at the 25th and 50th percentiles between physical activity groups in both boys and girls. However, in boys, the low active group had somewhat higher BMI values at the 85th and 95th percentiles than the high active group after the age of 10 years. In girls, the differences in BMI across groups was similar to that of boys at the 95th percentile, but inconsistent at the other percentiles. CONCLUSION: The results suggest that screening for physical activity may be important for the development of national reference data for obesity.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".