Epidemiology and Burden of Sleep Disturbances in Atopic Dermatitis in US Adults
Bibliographic record
Abstract
BACKGROUND: The relationship between atopic dermatitis (AD) severity, sleep disturbance (SD), and health-related outcomes is not fully elucidated. OBJECTIVE: The aim of the study was to determine the prevalence of SD in adult AD and its relationship with AD severity and health outcomes among the US population. METHODS: A cross-sectional, US population-based survey study of 2893 adults was performed. RESULTS: Among adults meeting the UK Diagnostic Criteria for AD, 255 (40.7%) reported 1 or more, 67 (11.1%) reported 3 to 4, and 57 (9.5%) reported 5 to 7 nights of SD in the past week; 475 (79.7%) reported at least some trouble sleeping in the past 3 days. Moderate and severe Patient-Oriented Scoring AD, Patient-Oriented Eczema Measure, and Numeric Rating Scale-itch and Numeric Rating Scale-skin pain scores were associated with more severe SD compared with those without AD. More frequent and severe SDs were associated with higher Dermatology Life Quality Index, lower 12-item Short-Form Health Survey, and higher Hospital Anxiety and Depression Scale (HADS) scores. Significant mediation by SD severity was observed between Patient-Oriented Eczema Measure and Numeric Rating Scale-itch with Dermatology Life Quality Index, 12-item Short-Form Health Survey physical and mental component scores, HADS-anxiety and HADS-depression scores, diagnosed anxiety, and heart disease. CONCLUSIONS: Atopic dermatitis and AD severity are associated with SDs. Sleep disturbances considerably impact quality of life and other health outcomes in adults with AD.
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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 | 0.001 |
| 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 | 0.000 |
| 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".