Bibliographic record
Abstract
Asthma is a chronic respiratory disease affecting approximately 8% of the Canadian population. Being physically active may assist in management of the disease and lead to improvements in overall health. The purpose of this study was to determine whether involvement in physical activity (PA) influenced self-reported measures of health in asthmatics. The sample included 4272 asthmatic men and 6971 asthmatic women who participated in the Canadian Community Health Survey cycle 2.1. The median age for this group fell in the 40-44 age category. PA level was classified into three categories: active, moderately active, or inactive. In order to determine the relationship between PA levels and the five measures of health (self-perceived health, self-perceived mental health, additional chronic conditions, functional limitations, and satisfaction with life in general) Kruskal-Wallis ANOVAs were conducted and pairwise comparisons were used when significant main effects occurred. For all five measures of health, being physically active increased the likelihood of better health, and greater levels of PA were associated with higher values. In summary, PA was consistently associated with better health in Canadians with asthma. Future research is required to confirm a linear dose-response relationship between PA and health in asthmatics.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".