Sleep Disturbance and Sleep-Related Impairment in Adults with Atopic Dermatitis: A Cross-sectional Study
Bibliographic record
Abstract
BACKGROUND: Little is known about the impact of sleep disturbances (SD) or sleep-related impairment (SRI) in adults with AD or their relationship with severity of AD and itch and other predictors. OBJECTIVE: The aim of this study was to determine the relationship between AD severity, SD, and SRI. METHODS: We conducted a prospective online questionnaire-based study of 287 adults with AD, including assessment of AD severity by Patient-Oriented Eczema Measure, self-reported global AD severity, Self-Assessed Eczema Area and Severity Index and visual analog scale-itch, Patient-Reported Outcome Measurement Information System SD and SRI individual items, and T scores. RESULTS: Adults with AD commonly endorsed all SD and SRI symptoms examined; only 58 (21.8%) reported having good or very good sleep quality in the past week. However, only a minority of adults with AD endorsed a more profound impact from these individual aspects of SD and SRI in the past week or Patient-Reported Outcome Measurement Information System T scores greater than 55. In particular, SD and SRI were associated with severe or very severe AD (Patient-Oriented Eczema Measure, self-reported severity, visual analog scale-itch, and/or Self-Assessed Eczema Area and Severity Index). Sleep-related impairment was also associated with comorbid hay fever and/or anxiety. CONCLUSIONS: This study suggests that SD and SRI are common in adults with AD, particularly those with severe diseases. Sleep disturbances and SRI should be considered when assessing burden of AD and therapeutic decisions.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".