Global impact of asthma on children and adolescents' daily lives: The room to breathe survey
Bibliographic record
Abstract
OBJECTIVE: To establish children and adolescents' perspectives regarding their asthma and its impact upon their daily lives. DESIGN: A 14-item questionnaire. SETTING: Canada, Greece, Hungary, The Netherlands, the United Kingdom, and South Africa. PARTICIPANTS: Children/adolescents (aged 8-15 years) with physician-diagnosed asthma. INTERVENTION: Interviews were conducted by telephone (Canada, Greece, Hungary, The Netherlands, and the United Kingdom) or face-to-face (South Africa). OUTCOME MEASURES: Asthma symptoms, impact on activities, and quality of life. RESULTS: Of the 943 children/adolescents interviewed, 60% were male. Most (81%) described their asthma as "not too bad" or "I only get it every now and then," with only 4% reporting their asthma as being "very bad"; however, 92% experienced asthma-related coughing and 59% reported nocturnal awakening. Over half (57%) of children/adolescents believed they could predict when their asthma would make them ill; the most common initial symptoms being breathlessness (41%) and bad cough (33%). They considered the worst things about having asthma to be the symptoms of an asthma attack (32%) and not being able to play sport (25%). Almost half (47%) of children/adolescents felt that their asthma affected their ability to play sport or engage in physical activity. One in ten reported they had suffered asthma-related bullying. CONCLUSIONS: Children/adolescents underestimate the severity of their asthma, and overestimate its control, indicating that they expect their illness to be symptomatic. Asthma has a substantial impact on their daily lives, particularly on physical activity and social functioning. Efforts are required to improve asthma control and expectations of health in children/adolescents.
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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 | 0.002 |
| 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 | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".