Effect of Body Mass Index on Self-Reported Exercise-Triggered Asthma
Bibliographic record
Abstract
INTRODUCTION: Exercise-induced asthma (EIA) is common in individuals diagnosed with asthma, with 80% to 90% experiencing asthma symptoms during moderate exercise. Asthma has been linked to obesity such that obesity may be a risk factor for adult-onset asthma. Adults with asthma disclose comorbid obesity as one of the most common barriers to exercise. Physical inactivity has been linked to increases in body mass index (BMI). Few studies have explicitly examined the relationship between BMI and reporting exercise as an asthma trigger. It was hypothesized that individuals with asthma who have an increased BMI will also have increased reports of exercise as an asthma trigger. METHODS: In total, 673 adult outpatients with asthma at Hôpital du Sacré-Cœur de Montréal in Montréal, Quebec, Canada underwent a brief sociodemographic and medical history interview. Patients provided information on their height, weight (used to calculate BMI), and triggers that generally provoked an asthma exacerbation (though it should be noted that a formal EIA test was not performed). RESULTS: When individuals were classified as normal, overweight, or obese, logistic regression analysis revealed that those who were overweight had a 95% increase in the likelihood of reporting exercise-triggered asthma (odds ratio [OR], 1.95; 95% confidence interval [CI], 1.30-2.94) compared with those of normal weight, and this likelihood was more than doubled if the individuals were obese (OR, 2.34; 95% CI, 1.44-3.82). Assessing BMI as a continuous variable revealed that every 1-point increase in BMI was associated with a 9% increase in patients reporting exercise as a trigger (OR, 1.09; 95% CI, 1.04-1.14). All analyses were conducted adjusting for age, sex, asthma severity, and asthma control. CONCLUSION: Results suggest that BMI influences the likelihood of reporting exercise as an asthma trigger, such that individuals with higher BMIs report exercise as an asthma trigger more often than those with a lower BMI. Given that the current study is cross-sectional, further prospective research is needed to define the causal pathway of this 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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".