Alexithymia and personality dimensions in relation to depression and anxiety in male alcohol-dependent inpatients
Bibliographic record
Abstract
Objective. The aim of this study was to determine the relationship of alexithymia and temperament and character model of personality with depression and anxiety symptoms in detoxified male alcohol-dependent inpatients. Method. The subjects consisted of 176 male alcohol-dependent inpatients according to the Diagnostic and Statistical Manual of Mental Disorders, 4th Edition. Patients were investigated with the Beck Depression Inventory, Beck Anxiety Inventory, State and Trait Anxiety Inventory, Michigan Alcoholism Screening Test (MAST), Toronto Alexithymia Scale (TAS-20) and Temperament and Character Inventory (TCI). Results. MAST score and scores of all three factors of the TAS-20 significantly predicted depression scale and anxiety scales. Difficulty in identifying feelings and difficulty in describing feelings factors were particularly effective, relative to the externally orientated thinking factor of the TAS-20 for prediction depression and anxiety. The TCI dimensions emerged as distinct and conceptually meaningful predictors for the depression scale and anxiety scales. Conclusion. Depression and anxiety symptoms among detoxified male alcohol dependents are associated with alexithymia, a broad range of personality dimensions and higher severity of alcohol-related problems, which make these related factors highly relevant for clinical practice.
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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 | 0.002 |
| 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 | 0.001 |
| 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".