Anthropometric correlates and underlying risk factors for type 2 diabetes mellitus among Inuit
Bibliographic record
Abstract
Type 2 diabetes mellitus (DM) is an emerging problem among Inuit of Circumpolar Countries. However, Canadian Inuit health surveillance data are limited. Data from the Nunavik Health Survey were used to evaluate the prevalence of overweight and obesity using the observed body mass index (BMIob) and the standardized BMI adjusted for sitting height (BMIstd). Also, data from Pangnirtung, Nunavut in the Baffin Region pilot health screening were used to evaluate anthropometric correlates of indices of insulin resistance. Obesity among the Nunavik study population (29.8%) is more prevalent than among general Canadians (23.1%), but the prevalence rates are more comparable when using BMIstd (21.5%). In Pangnirtung, anthropometric measures BMIob, BMIstd, waist circumference and percent body fat were associated with indices of insulin resistance/sensitivity (p ≤ 0.05). BMIstd showed similar results to BMIob and does not better predict the indices of insulin resistance/sensitivity.
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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 | 0.000 |
| 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".