Burden of Sleep and Fatigue in US Adults With Atopic Dermatitis
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Intense itch associated with atopic dermatitis (AD) can negatively impact sleep. However, the nature of sleep disturbance and fatigue in AD has not been fully elucidated. OBJECTIVES: The aim of this study was to determine the burden of sleep disturbance and fatigue in US adults with AD. METHODS: This study used a cross-sectional, questionnaire-based survey using a nationally representative sample of 5563 adults from the 2005 to 2006 National Health and Nutrition Examination Survey. Respondents were asked about history of AD, sleep disturbance, and fatigue-related instrumental activity of daily living (IADL) impairment. RESULTS: There was no significant association between having AD and having a diagnosed sleep disorder (10.44% vs 7.27%; odds ratio [OR] [95% confidence interval (CI)], 1.49 [0.84-2.64]; P = 0.23); however, respondents were more likely to report sleep disturbances to clinicians (33.38% vs 23.67%; OR [95% CI], 1.62 [1.10-2.38]; P = 0.04). In multivariate regression models controlling for sociodemographic and lifestyle factors, adults with AD had higher odds of sleep disturbances, including shorter sleep duration (adjusted OR [95% CI], 1.61 [1.16-2.25]), trouble falling asleep (adjusted OR [95% CI], 1.57 [1.10-2.24]), and early morning awakenings (adjusted OR [95% CI], 1.86 [1.24-22.78]). Those with AD also had significantly higher odds of feeling unrested and feeling too tired to perform IADLs. CONCLUSIONS: United States adults with AD have significantly impaired sleep and fatigue affecting IADLs, and sleep disturbances may be underdiagnosed in this population.
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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) | 0.000 | 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 it