Prevalence, Predictors, and Longitudinal Course of Sexual Dysfunction in Adults with Atopic Dermatitis
Bibliographic record
Abstract
Background: Little is known about the burden of sexual dysfunction (SD) in atopic dermatitis (AD). Objective: The objective of this study is to determine the prevalence and associations of SD in adults with AD. Methods: A prospective dermatology practice–based study of adult patients (N = 677) with AD was performed. Sexual dysfunction in the past 7 days was assessed by patient report (4-point Likert scale). Atopic dermatitis severity was assessed using multiple validated clinician-reported and patient-reported outcomes. Results: At baseline, SD was reported by 19.35% of patients and was associated with being married (adjusted odds ratio [95% confidence interval], 2.252 [1.226–4.136]) and younger age (3.363 [1.768–6.397]) but not race or gender in models controlling for sociodemographics and AD severity. Adult-onset versus childhood-onset AD (2.781 [1.211–6.383]) was associated with significant SD. Sexual dysfunction and SD severity were associated with total and objective scoring AD, Eczema Area and Severity Index, body surface area, Investigator's Global Assessment, and their cross-product, Patient-Oriented Eczema Measure and Patient Global Assessment of AD. Atopic dermatitis lesions on the genitals (3.255 [1.405–7.541]), neck (2.244 [1.066–4.723]), and lower extremities (2.236 [1.265–3.951]) were particularly associated with SD. Conclusions: Sexual dysfunction is commonly reported by adults with AD and is associated with marriage, adult-onset AD, AD severity, and lesions on the genitals.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| 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".