The hypertriglyceridemic-waist phenotype is associated with the Framingham risk score and subclinical atherosclerosis in Canadian Cree
Bibliographic record
Abstract
BACKGROUND AND AIMS: For primary prevention of cardiovascular disease (CVD), Canadian guidelines recommend that asymptomatic Canadians with abdominal obesity undergo Framingham risk score (FRS) assessment, and that in Indigenous Peoples, indicators of metabolic syndrome also be used to identify at-risk individuals. The hypertriglyceridemic-waist phenotype (HTGW) has been proposed to be a surrogate marker of visceral obesity and a simple proxy measure for metabolic syndrome. The primary aim of this study was to evaluate whether the HTGW and the FRS associated with sub-clinical atherosclerosis. METHODS AND RESULTS: Asymptomatic Cree participants in a cross-sectional study conducted 2005-2009 (n = 446, 18-81 y) were assessed for the HTGW using NCEP-ATP-III gender-specific-cutoffs (waist circumference: for men, ≥102 cm; for women ≥88 cm) and fasting triglycerides ≥1.7 mmol/L. Sub-clinical atherosclerosis was defined by the presence of a high sex-specific common-carotid-intimal-medial-wall-thickness (≥75th percentile). HTGW was present in 26.7% and a 10-y FRS greater than 10% was present in 18.8% of participants. The multivariate adjusted OR (95% CI) for sub-clinical atherosclerosis associated with an FRS greater than 10% was 4.10 (2.20-7.50) while that associated with the HTGW phenotype was 1.74 (95% CI 1.61-1.88) from a model including age, body mass index, alcohol consumption, FRS and the HTGW. CONCLUSIONS: The HTGW phenotype is prevalent in the Cree. Our findings support further study on the utility of combining the HTGW with the FRS in the prediction of cardiovascular disease outcomes and in health screening and intervention programs among indigenous peoples.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".