Association of Adult Atopic Dermatitis Severity with Decreased Physical Activity: A Cross-sectional Study
Bibliographic record
Abstract
Background: Atopic dermatitis (AD) is associated with chronic pruritus, skin pain, sleep deprivation, depression, and anxiety, which may lead to decreased physical activity (PA). Objective: The aim of the study is to elucidate the impact of disease and itch severity on PA in adult AD. Methods: This is a prospective dermatology practice–based study of 955 AD patients (ages 18–97 years). Results: In multivariable logistic regression models controlling for age, sex, race/ethnicity, and asthma history, patient-reported global AD severity (PtGA), Patient-Oriented Eczema Measure, Eczema Area and Severity Index (EASI), and Investigator's Global Assessment (IGA) were associated with itch impairing light PA, moderate PA, and vigorous PA, as well as higher Patient-Reported Outcomes Measurement Information System Itch Questionnaire PA T -scores. Higher objective Scoring AD (O-SCORAD) was associated with itch impairing moderate PA. In bivariable analyses, performing greater than or equal to 30 minutes of light PA greater than or equal to 1 day a week was decreased with higher PtGA, Patient-Oriented Eczema Measure, and EASI; greater than or equal to 30 minutes of moderate PA greater than or equal to 1 day a week was decreased with PtGA, EASI, O-SCORAD, and IGA; and greater than equal to 30 minutes of vigorous PA was decreased with patient-reported AD severity, EASI, O-SCORAD, and IGA. In multivariable logistic regression models, the impact of itch on PA was inversely associated with light PA, moderate PA, and vigorous PA. Conclusion: Adult AD patients with more severe disease have decreased levels of PA secondary to itch.
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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 | 0.002 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".