Effect of asthma treatment on fitness, daily activity and body composition in children with asthma
Bibliographic record
Abstract
BACKGROUND: Although several cross-sectional studies have assessed the daily physical activity in children with asthma, the impact of the level of asthma control remains unknown. AIM: To assess the influence of asthma treatment-induced changes in asthma control on daily physical activity, cardiovascular fitness and body composition in children with asthma. METHODS: Daily accelerometer-measured physical activity, cardiovascular fitness, body composition (percent fat, percent lean tissue and bone mineral density) and a variety of asthma outcomes (to assess the level of asthma control) were measured over 4 weeks in 55 children with newly diagnosed untreated asthma and 154 healthy, sex and age-matched controls. Treatment with inhaled corticosteroids was initiated after the baseline period. All outcome measurements were repeated after 1 year and some also during the year of treatment. RESULTS: Asthma control improved markedly during the year of treatment. The improvement in control was associated with a significant increase in total daily activity of 2.8 h/week compared with the healthy controls (P < 0.001). In addition, significant increases were seen in moderate-vigorous activity (33 min/week; P = 0.01) and in cardiovascular fitness (1.2 ml O₂/min*kg) compared with the healthy controls. The improvement in activity was mainly seen during the last 6 month of the study. No difference was seen between the two groups in changes in percent body fat. CONCLUSION: Poorly controlled asthma is associated with reduced physical activity and cardiovascular fitness. Improvement in asthma control is associated with a clinically relevant increase in daily physical activity and cardiovascular fitness.
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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 | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".