Quality of Life and Psychological Impact in Patients with Atopic Dermatitis
Bibliographic record
Abstract
Atopic dermatitis (AD) is a dermatological disorder that affects patients’ mental health and psychological state in complex ways. The importance of understanding the entire scope of this burden is well recognized, but there is limited comprehensive information about the resulting stress on adult patients with AD. This study aimed to determine the degree of psychological stress in patients with AD compared to healthy participants. A total of 352 adult patients participated in this cross-sectional study—174 with AD and 178 healthy participants. Demographic and clinical data were collected. Itch and sleep disturbance were assessed using a numeric rating scale and a visual analogue scale. The 20-item Toronto Alexithymia Scale (TAS-20) and Beck Depression Inventory (BDI) questionnaires were administered to assess the symptoms of alexithymia and depression. Quality of life (QOL) was assessed in AD patients using the Dermatology Quality Index. In our study, we found high TAS-20 and BDI scores among patients with AD. The prevalence of alexithymic personality features was 56.3% in patients with AD versus 21.3% in healthy controls (p < 0.001). Based on BDI scoring (BDI-21 > 13), depression was suspected in a significantly higher number of patients with AD than in the control group (56.9% (99/174) vs. 15.7% (28/178); p < 0.0001). Eczema Area and Severity Index (EASI) score did not show any significant correlations with psychological parameters. Among clinical parameters, only sleep disturbance was positively correlated with depression (R = 0.307, p < 0.005). Our data show that the severity index score as a representative factor of skin involvement has a limited role in predicting the effect of skin diseases on mental status. Screening and assessment for psychiatric disorders, QOL, and sleep disturbance in patients with atopic dermatitis cannot be neglected by physicians and they should be treated in clinical practice with the consideration of psychosomatic approaches.
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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 | 0.002 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".