The Relationship between Age of Asthma Onset and Cardiovascular Disease in Canadians
Bibliographic record
Abstract
PURPOSE: To quantify the association between cardiovascular disease (CVD) and asthma in Canadian adults and to determine whether age of asthma onset is a moderator of this association. METHODS: We used a sample of 74 342 participants with a mean age of 56.4 +/- 12.5 from cycle 1.1 of the Canadian Community Health Survey. Asthma age of onset was categorized into early-onset (0-20 years) and adult-onset (21-54 years). Three major outcomes were used to estimate the relationship between asthma and CVD, namely: high blood pressure, heart disease, and stroke. RESULTS: Multiple logistic regression models revealed that asthmatics were 43% (OR = 1.43, CI = 1.19-1.72) more likely to have heart disease, and 36% (OR = 1.36, CI = 1.21-1.53) more likely to have high blood pressure than non-asthmatics. There were no consistent results for age of onset with high blood pressure, heart disease, or stroke. CONCLUSION: Using a population-based dataset we confirmed that asthmatics are at increased odds of cardiovascular disease compared to non-asthmatics; furthermore, age of asthma onset did not appear to moderate this relationship. Future research should focus on determining whether asthma severity or allergic/non-allergic phenotypes have a differential effect on the asthma-CVD relationship.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".