Alexithymia and personality in relation to dimensions ofpsychopathology in male alcohol-dependent inpatients -
Bibliographic record
Abstract
Alexithymia and personality in relation to dimensions of psychopathology in male alcohol-dependent inpatients Objective: The aim of this study was to examine the capacity of alexithymia to predict psychiatric symptoms relative to other personality dimensions and age. Method: Participants were 176 consecutively admitted male alcohol dependent inpatients who were administered the Toronto Alexithymia Scale (TAS-20), Temperament and Character Inventory (TCI), and the Symptom Checklist-Revised (SCL-90-R). Results: Fifty three patients (30.1%) had alexithymia. Means of subscales of SCL-90 and the global severity index were higher among those with alexithymia than those without. The difficulty in identifying feelings factor of the TAS-20 significantly predicted all SCL-90-R subscale scores, whereas none of the SCL-90-R subscales were predicted by difficulties describing feelings or externally orientated thinking. The TCI dimensions emerged as distinct and conceptually meaningful predictors for the different SCL-90-R subscales. Somatization measured by subscale of SCL-90 was not as strongly predictable by difficulty in identifying feelings factor in alcohol dependents as was in general psychiatric patients. Conclusions: The present study supported the hypothesis that a current psychopathology is associated with difficulties in cognitively processing emotional perceptions among alcohol dependent inpatients. Since this was a study of cross-sectional design, the question of whether alexithymia represents a risk factor for psychopathology among alcohol dependent inpatients requires further evaluation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 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".