Comparative Prevalence of Asthma in Different Groups of Athletes: A Survey
Bibliographic record
Abstract
BACKGROUND: The type of air predominantly inhaled during training seems to play an important role in the development of airway hyperresponsiveness in athletes; however, this factor has not been evaluated for asthma. OBJECTIVE AND PATIENTS: To compare the prevalence of self-reported and/or physician-diagnosed asthma among four groups of athletes categorized according to the type of air predominantly inhaled during training: cold air (n=176), dry air (n=384), humid air (n=95), and mixed dry and humid air (n=43). METHOD: Self-administrated questionnaires were used. RESULTS: One hundred seven (15.3%) of the 698 athletes reported having asthma; of these 107 athletes, 92 had physician-diagnosed asthma. No significant differences were found for the prevalence of asthma: 15.9% (cold air), 15.4% (dry air), 12.6% (humid air) and 18.6% (mixed dry and humid air), respectively (P>0.05). Furthermore, no significant differences were observed among the groups for the prevalence of confirmed atopy, cold/flu or respiratory infections (all P>0.05), except for the prevalence of hay fever, which was significantly lower among athletes of the dry air group (P=0.04). Athletes having a first-degree relative with asthma did not have a higher prevalence of asthma than those who did not (P>0.05). CONCLUSION: The prevalence of asthma was not significantly different among the four groups of athletes and it was not associated with a family history of asthma.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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 teacher head, 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".