Association Between Obesity and Cardiometabolic Health in Asian-Canadian Sub-Groups
Bibliographic record
Abstract
Purpose: To examine the association between the WHO’s Asian specific trigger points representing ‘increased risk’ (BMI ≥23 kg/m2) and ‘high risk’ (BMI ≥27.5 kg/m2) with cardiovascular-related conditions in Asian-Canadian sub-groups. Methods: Six cycles of the Canadian Community Health Survey (2001-2009; N=18 794) were pooled and weighted; multivariable logistic regression was used to estimate the odds of cardiovascular outcomes. Results: Versus South Asians, Filipinos had higher odds of ‘≥1 cardiometabolic condition’ (OR=1.29). Compared to the normal weight category in each ethnic group, the association between excess adiposity on ‘≥1 cardiometabolic condition’ was highest among Chinese (‘increased risk’: OR=3.6; ‘high risk’: OR=8.9). Compared to ‘normal weight’ South Asians, those in the ‘high risk’ groups (except Southeast Asian, Arab, and Japanese) were approximately 3-times as likely to report ‘≥1 cardiometabolic condition’. Conclusions: The relationship between overweight, obesity, and health risk varied within Asian sub-groups, and was strongest for South Asian and Filipino.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".