DEPENDENCE OF ALEXITHYMIA INTENSITY ON COMPONENTS OF PSYCHOSOCIAL ADAPTATION IN MEN WITH PSYCHOTROPIC SUBSTANCE USE DISORDERS
Bibliographic record
Abstract
Introduction. Levels of alexithymia and psychosocial adaptation can influence on the treatment and rehabilitation of patients with substance use disorders. The investigation of the state of the adaptation system is often used to examine these patients, despite its complexity and multilevel character. It is still unclear what characteristics of psychosocial adaptation may indicate increasing level of alexithymia. Therefore the aim of this study is to investigate their association for future prediction of alexithymia level in men with substance use disorders. Methods. We examined 28 men who took the treatment at the detoxication therapy stage. We studied severity of alexithymia by Russian version of the Toronto Alexithymia Scale and analyzed peculiarities of psycho-social adaptation by C.R. Rogers and R.F. Dymond methods. To analyze the dependence between variances, multiple linear regression with Akaike information criteria and stepwise variable method was used. Results. The average level of alexithymia in the subjects was 57.6 ± 14.1 scores: it points out an elevated severity of the condition. The patients have “difficulty identifying feelings” at 18.9±6.6 scores, “difficulty describing feelings” at 13.7±4.9 scores and “externally oriented thinking” at 25.04±5.4 scores. The average levels of the subscales of the psychosocial adaptation questionnaire demonstrate no difference from normal values, but integral indices were increased. After stepwise variable method we selected the minimum set of factor characteristics associated with the original variable. Two factors related to the level of alexithymia were identified: internality and emotional comfort. The analysis shows the adequacy of the linear two-factor model for predicting the level of alexithymia in men with substance use disorders that based on values of internality and emotional comfort. Conclusion. We found that increased level of internality and emotional comfort in men with substance use disorders can predict an elevating level of alexithymia.
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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) | 0.002 | 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".