Stressful life events, anxiety, depression and coping mechanisms in patients with Behçet's disease
Bibliographic record
Abstract
BACKGROUND: Behçet's disease is a systemic immunoinflammatory disease of young adults characterized by systemic vasculitis of arteries and veins. Although many studies have been published since its discovery in 1937, the etiopathogenesis of this unique disorder is still unclear. OBJECTIVE: To assess the relationship between stress factors, psychological and somatic symptoms, and coping mechanisms in patients with Behcet's disease. METHOD: Thirty-four patients with Behcet's disease and 43 control subjects were compared by using sociodemographic data collection forms, a psychosocial and environmental problems list, the Beck Anxiety Inventory (BAI), Hamilton Depression Rating Scale (HAM-D) and Toronto Alexithymia Scale (TAS). RESULTS: Twenty-four patients (70.6%) defined stress factors in the first stage of the disease. Twenty-seven (79.4%) out of 34 patients stated that the recurrence period of the disease was related to the stress factors. Fear was expressed by 10 (29.4%) patients, sadness by 11 (32.3%), and fear plus sadness by 13 (38.2%) when they first learnt the diagnosis. While coping with these emotions 14 (41.2%) revealed active-reliance strategy. A statistically significant difference was present between the Behcet's patients and control subjects regarding TAS (P < 0.05), HAM-D (P < 0.001) and BAI (P < 0.001) scores. CONCLUSION: It seems that stressful life events have important implications in both relapsing and remission periods of Behçet's disease via secondary problems.
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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 | 0.000 | 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) | 0.001 | 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".