Global impact of asthma on children and adolescents' daily lives: the room to breathe survey
Bibliographic record
Abstract
Objective \nTo establish children and adolescents' perspectives regarding their asthma and its impact upon their daily lives. \n \nDesign \nA 14‐item questionnaire. \n \nSetting \nCanada, Greece, Hungary, The Netherlands, the United Kingdom, and South Africa. \n \nParticipants \nChildren/adolescents (aged 8–15 years) with physician‐diagnosed asthma. \n \nIntervention \nInterviews were conducted by telephone (Canada, Greece, Hungary, The Netherlands, and the United Kingdom) or face‐to‐face (South Africa). \n \nOutcome Measures \nAsthma symptoms, impact on activities, and quality of life. \n \nResults \nOf 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. \n \nConclusions \nChildren/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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".