Alexithymia and Suicidal Ideation in Iranian Patients With Psoriasis
Bibliographic record
Abstract
Background: Evidence highlighted the high prevalence of some mental problems among individuals with psoriasis, including alexithymia and suicidal ideation. Objectives: The present study aims to investigate the prevalence and comorbidity of alexithymia and suicidal ideation in individuals with psoriasis in Iran. Materials & Methods: This cross-sectional study was conducted on 100 patients with psoriasis referred to Razi Dermatology Clinic and Beesat Clinic of hospitals affiliated to Guilan University of Medical Sciences, Rasht, Iran, in 2020. Psoriasis was diagnosed by a dermatologist, and the demographic and clinical characteristics of patients were recorded. The Toronto alexithymia scale (TAS-20) and the Beck scale for suicidal ideation (BSSI) were used to assess alexithymia and suicidal thoughts. Results: The mean age of patients was 37.56±10.58 years, and 51% were female. Among patients, 52% had alexithymia, 23% were at high risk of suicide, and 6% were at very high risk of suicide. The moderate severity of psoriasis had a significant association with suicidal thoughts (P<0.05). The TAS-20 score had a significant association with the male gender and younger age, and the BSSI score had a significant association with the psoriasis area (P=0.003). The highest score of BSSI was seen in those with psoriasis in the face and limb/trunk (10±4.36 and 8.56±8.52, respectively). Conclusion: Patients with psoriasis exhibit a significant prevalence of alexithymia and suicidal thoughts. Additionally, younger age and male gender were identified as factors associated with alexithymia in this population.
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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 | 0.001 | 0.001 |
| 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) | 0.001 | 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".