Relationship Between Alexithymia and Aggression in a Sample of Men with Substance Dependence
Bibliographic record
Abstract
Objective: The aim of this study was to evaluate the relationship between alexithymia and aggression among men with substance dependence. In addition, we wanted to control the effect of variables such as depression and anxiety on this relationship. Methods: Participants were 200 consecutively admitted substance-dependent inpatients. Patients were assessed with the Toronto Alexithymia Scale-20, the Buss-Perry Aggression Questionnaire, the Beck Depression Inventory and the State-Trait Anxiety Inventory. Results: Of the substance-dependent inpatients, 34.0% (n=68) constituted a group suffering from alexithymia. Rates of being unemployed, being married, duration of education, and current age did not differ between the groups, whereas age at onset of regular substance use was lower in the group with alexithymia. The alexithymic group had higher scores of aggression, depression, as well as trait and state anxieties. A hierarchical linear regression analysis demonstrated that the difficulty in identifying feelings (DIF) factor of alexithymia was related with aggression, although chronic anxiety contributed to this relationship particularly in the anger and hostility dimensions of aggression. Conclusion: Trait DIF may be directly related with aggression, whereas state DIF may be a way of coping among those with chronic anxiety and may be indirectly related with cognitive and affective components of aggression. The relevance of these relationships for prevention and treatment of substance dependents deserves interest in further research.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".