Impact of the Mediterranean Diet and Physical Activity on the Severity of Atopic Dermatitis
Bibliographic record
Abstract
Abstract: Background: Atopic dermatitis (AD) is a common chronic inflammatory skin condition influenced by genetic and environmental factors. The role of lifestyle on AD remains unclear. This study explores the association between adherence to the Mediterranean diet (MD), physical activity (PA) levels, and AD severity. Methods: A cross-sectional study was conducted on AD patients. Disease severity was assessed using the Eczema Area and Severity Index (EASI) and the Patient Oriented Eczema Measure (POEM) scores, among others. MD adherence was evaluated using the Prevention with Mediterranean Diet (PREDIMED) questionnaire, and PA levels via the International Physical Activity Questionnaire (IPAQ). Results: 124 AD patients with moderate-to-severe disease (EASI 11.44 ± 11.64, POEM 12.46 ± 23.12) were included. MD adherence was moderate (7.55 ± 1.93), as were PA levels (2,265.34 ± 3,098.45 METs). Higher MD adherence was associated with lower disease severity ( P < 0.0001), particularly with greater consumption of vegetables, fruits, legumes, and fish ( P < 0.05). Lower PA ( P = 0.05) and sedentary behavior ( P = 0.02) were linked to greater severity. Lower MD adherence ( P < 0.0001) and reduced PA ( P = 0.02) were also related to increased pruritus. Conclusion: AD patients showed low adherence to both the MD and PA. The MD could be an appropriate dietary pattern for AD, and combining this with increased PA could offer additional benefits.
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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 | 0.000 | 0.001 |
| 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) | 0.002 | 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".