National Cholesterol Education Program Adult Treatment Panel III guidelines and obesity: implications for Canada.
Bibliographic record
Abstract
BACKGROUND: The National Cholesterol Education Program Adult Treatment Panel (ATP) III recommendations incorporate new evidence for treating elevated low-density lipoprotein cholesterol. OBJECTIVES: Comparisons between the prevalence of drug-eligible Canadians under the old ATP II and the new ATP III guidelines were made, and the impact of obesity on current and future drug eligibility was explored using various models. METHODS: Participants from the Canadian Heart Health Surveys (1986 to 1992; n=17,728; 20 to 74 years of age) were assigned to therapeutic lifestyle change or drug-eligible groups in the event of elevated low-density lipoprotein cholesterol. Body mass index was used to classify participants as having normal weight, or as being overweight or obese. The prevalence of overweight and obese status for 2001, 2006 and 2011 were projected from past trends by linear regression. Population attributable risk was used to model reductions or increases in the prevalence of obesity in drug-eligible participants using several nationally representative population health surveys. RESULTS: In 2001, an additional 1.1 million Canadians were drug-eligible under ATP III (16.0% of men, 9.5% of women), compared with ATP II (7.7% of men, 7.7% of women). Drug eligibility was elevated in overweight participants (men: OR=1.87 [1.51 to 2.31]; women: OR=1.60 [1.13 to 2.28]) and the obese (men: OR=2.86 [1.86 to 4.38]; women: OR=2.28 [1.63 to 3.18]) versus normal weight participants. The population attributable risk was higher in men (overweight 22.6%, obese 11.5%) than in women (overweight 9.4%, obese 9.2%). IMPLICATIONS: A 10% reduction in overweight and obesity prevalence could have prevented 69,530 cases of drug eligibility in 2001. On the other hand, by 2011 over one million Canadians will be drug-eligible because of an elevated body mass index, if the recent trends in overweight and obese status continue.
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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 | 0.020 | 0.041 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.010 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".