Prevalence of impaired glucose tolerance and the components of metabolic syndrome in Canadian Tsimshian Nation youth.
Bibliographic record
Abstract
INTRODUCTION: Canadian Aboriginal people have been disproportionately affected by obesity and type 2 diabetes (T2D). Our objective was to determine the prevalence of obesity, glucose intolerance and the components of metabolic syndrome (MetS) in Tsimshian Nation youth living in 3 remote coastal communities. METHODS: A medical history, anthropometric measurements and an oral glucose tolerance test were performed in youth aged 6-18 years. We defined "overweight" by a body mass index (BMI) at the 85th percentile or higher and "obese" by a BMI at the 95th percentile or higher, by age and sex. We used the International Diabetes Federation criteria for MetS. RESULTS: Of the 224 eligible youth, 192 (85%) participated in the study. Nineteen percent were overweight, 26% were obese and 36% had central obesity (waist circumference > or = 90th percentile for age and sex). No new cases of T2D were identified. The prevalence of impaired fasting glucose (IFG 5.6-6.9 mmol/L) and impaired glucose tolerance (IGT 2-hr glucose 7.8-11.0 mmol/L) were 19.3% and 5.2%, respectively. Five of the 10 youth with IGT had a fasting glucose less than 5.6 mmol/L. The prevalence of MetS was 4.7% and increased to 8.3% when pediatric hypertension norms were applied. CONCLUSION: Tsimshian Nation youth have a high prevalence of central obesity, impaired glucose homeostasis and other components of MetS. The oral glucose tolerance test may be a more appropriate screening test to identify IGT in Aboriginal youth.
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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 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 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".