Association of atopic dermatitis with allergic, autoimmune, and cardiovascular comorbidities in US adults
Bibliographic record
Abstract
BACKGROUND: Atopic dermatitis (AD) has been associated with multiple comorbid extracutaneous and systemic disorders. The relation between AD severity and disease comorbidities is complex and not fully understood. OBJECTIVE: To determine the complex relation between AD severity and comorbidities. METHODS: A cross-sectional US population-based study of 8,217 adults who were participants in a nationally representative internet health panel was performed using a structured questionnaire. A diagnosis of AD was determined using modified United Kingdom Working Party Criteria for AD (n = 602). AD severity was assessed using Patient-Oriented Scoring AD, Patient-Oriented Eczema Measure, Dermatology Life Quality Index, and self-reported global AD severity. Logistic regression and structural equation models were used to explore associations of AD with self-reported allergic, cardiometabolic, anxiety and depression, and autoimmune disease. RESULTS: In multivariable regression models controlling for sociodemographics, AD was associated with higher odds of asthma (adjusted odds ratio [OR] 2.09, 95% confidence interval [CI] 1.71-2.55), hay fever (OR 4.31, 95% CI 3.27-5.69), food allergy (OR 2.07, 95% CI 1.54-2.77), anxiety and depression (OR 2.34, 95% CI 1.91-2.87), autoimmune disease (OR 3.05, 95% CI 2.31-4.03), obesity (OR 1.37, 95% CI 1.13-1.67), diabetes (OR 1.52, 95% CI 1.16-1.99), high blood pressure (OR 1.46, 95% CI 1.18-1.80), and heart disease (OR 1.94, 95% CI 1.40-2.70) compared with controls (P < .01 for all). All these associations were significant in mild and/or moderate disease, with even stronger effects in severe AD. Results of structural equation models showed direct effects of moderate to severe AD on food allergy, anxiety and depression, and diabetes, direct and indirect effects on obesity, and indirect effects on high blood pressure and heart disease. CONCLUSION: There is a strong relation of AD severity to allergic, autoimmune, and cardiovascular comorbidities.
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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 | 0.000 |
| 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".