The impact of perennial allergic rhinitis with/without allergic asthma on sleep, work and activity level
Bibliographic record
Abstract
Background: Allergic respiratory diseases such as allergic rhinitis (AR) and allergic asthma (AA) are common conditions that can influence sleep and daytime functioning. However, the significance of this impact is unclear-particularly in perennial allergy sufferers. This study investigates the impact of perennial allergy on sleep, daily activities and productivity. Methods: Adults with self-reported or physician-diagnosed perennial AR aged ≥ 18 years were recruited in Denmark, France, Germany and Sweden. Allergy sufferers were identified using online panels closely matching national population characteristics for each country. Impact on sleep, work, productivity and activity (by the Work, Productivity and Activity Index) were analysed. Descriptive analyses were conducted. Results: In total, 511 subjects with perennial AR (47.4% also with seasonal allergy) completed the survey. Most subjects (77.5%) had a physician-diagnosis of AR; 46.4% were diagnosed with both AA and AR. Most subjects (65.2%) reported sensitisation to house dust mites. Of all subjects, 66.0% reported sleep problems. Subjects with sleep problems woke, on average, 3.8 times per night, with 92.0% taking 15+ min to fall asleep (22.2% took 60+ min). Upon waking at night, 40.8% struggled to get back to sleep, and 69.2% had difficulties waking in the morning due to tiredness. Disturbances in daily functioning due to sleep issues were reported in 85.5-95.0% of subjects with sleep problems across all aspects investigated. Overall work and activity impairment were 53.3% and 47.1%, respectively. Sleep issues were more frequent (78.1% vs 54.7%) in those diagnosed with both AR and AA compared to AR alone, and more burdensome, with a greater impact on daily functioning (47.0% vs 33.3%) and impairment in work and activity (62.0% and 54.9% vs 39.3% and 35.2%, respectively). Of all subjects, 20.5% were receiving AIT at the time of the survey; of these, 36.4% reported moderate or great improvement in sleep due to allergy treatment. Conclusions: In perennial AR sufferers, sleep problems are common and impact on daily functioning, with results indicating a greater burden in those with both AR and AA compared to AR alone.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".