Investigation of Biopsychosocial Status, Fatigue, Sleep Quality, Alexithymia, Cognitive Functions, and Quality of Life in Behçet’s Disease
Bibliographic record
Abstract
Objective: The aim of this study was to compare the effects of Behçet's disease in terms of anxiety, biopsychosocial status, fatigue, sleep quality, alexithymia, cognitive level, and quality of life according to major and minor organ involvement. Methods: The study was planned as a single-centre cohort study. Fifty patients diagnosed with Behçet's (mean age 43±11.96 years) were included in the study. The patients were divided into two groups as major organ involvement (uveitis, neuro-Behçet's, or vascular type Behçet's disease) and minor organ involvement (mucocutaneous type Behçet's disease). Biopsychosocial status was evaluated with Biopsychosocial Questionnaire (BETY-BQ), anxiety with Beck Anxiety Inventory (BAI), fatigue with Multidimensional Assessment of Fatigue (MAF) Scale, sleep quality with Pittsburgh Sleep Quality Index (PSQI), alexithymia with Toronto Alexithymia Scale-20 (TAS-20), cognition level with Mini-Mental State Examination (MMSE), and quality of life with Short Form-36 (SF-36). Results: In the comparison according to minor and major organ involvement, there was no significant difference between the groups in BETY-BQ, BAI, MAF, PSQI, TAS-20, MMSE and SF-36 (p>0.05). Conclusion: Behçet's disease negatively effects in parameters such as biopsychosocial status, fatigue, sleep quality, alexithymia and quality of life. The presence of major or minor organ involvement in the patients did not change these negative effects.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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".