Diabetes Prevalence and Associated Risk Factors among Canadians of South Asian Origin: Estimates from a National Survey
Bibliographic record
Abstract
International evidence suggests that prevalence of type 2 diabetes (T2D) is higher among people of South Asian origin, however, limited information exists about T2D in Canadians belonging to this ethnic group. This study estimates the prevalence of self-reported T2D and assesses its relationship with demographic, socioeconomic and lifestyle factors in South Asians using data from the 2003 Canadian Community Health Survey, Cycle 2.1. Canadians of South Asian origin were compared with following ethnic groups: Whites, Chinese and Aboriginals. Descriptive statistics and odds ratios were calculated. T2D prevalence varied by ethnicity with South Asians having one of the highest rates (8.0%). Independent of age, sex, household income, education, body mass index and physical activity, South Asians had higher odds (2.9) of T2D compared with Whites. T2D occurred at a younger age and at lower body mass in this ethnic group compared with Whites.
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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 | 0.000 |
| 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".