The prevalence of overweight and obesity in British Columbian Aboriginal adults
Bibliographic record
Abstract
Overweight and obesity among Aboriginal populations has been a growing challenge within Canada. This investigation aimed to identify the prevalence of overweight and obesity within British Columbian adult Aboriginal populations including both on and off reserve individuals through direct measurement. Further, this study stratified the variations in these rates according to age, gender and geographic region. Weight, height and waist circumference (WC) were measured via standardized procedures, and body mass index (BMI) was calculated. The mean body composition indicators were above recommended for men (BMI = 30.3 ± 5.6 kg m(-2) ; WC = 104.2 ± 14.7 cm) and women (BMI = 30.9 ± 7.2 kg m(-2); WC= 99.3 ± 17.1 cm), respectively. Rates of obesity for men and women were similar, 48.4% and 48.7%, respectively, and showed significant increases with age. Abdominal obesity (AO) was significantly greater among female participants, 69.0% compared with 52.7% in men, while both genders also demonstrated significant increases in AO with age. Both obesity and AO rates were found to be significantly greater in the Northern and Interior regions of the province in comparison to the Vancouver/Lower Mainland region. Alarmingly high rates of obesity and AO were observed in this population in men and women at every age and geographic region.
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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) | 0.001 | 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".