Personality aspects of rehabilitation of patients with schizophrenia spectrum disorders and comorbid addictive pathology in a specialized psychiatric hospital setting
Bibliographic record
Abstract
This study is devoted to identifying the potential of psychological rehabilitation concerning the personal sphere of patients with diagnosed schizophrenia spectrum disorders (SSD) and comorbid addictive pathology in a specialized psychiatric hospital. We studied the individuals suffering from SSD and comorbid addiction undergoing psychological rehabilitation in a specialized psychiatric hospital setting. The subject of the research was the personality characteristics of patients with SSD and comorbid addictive pathology. The study hypothesis was that the parameters significantly altered during the psychological rehabilitation of patients with SSD and comorbid addiction would be associated with the patients' personality characteristics, predetermining the possibility of their correction through a rehabilitation process. The following psychodiagnostic instruments were used: the Montreal Cognitive Assessment (MoCA), the Brief Negative Symptom Scale (BNSS), the Ways of Coping Questionnaire, the Life Style Index (LSI), the Zimbardo Time Perspective Inventory (ZTPI), and the Motives for Drug Use scale. Mathematical and statistical analysis was performed using the Wilcoxon signed-rank test and Spearman's rank correlation coefficient. The novelty of the research lies in identifying the specific personality constructs that can be targeted for correction in the rehabilitation process of this patient population through group work focused on traditional targets—negative symptoms and cognitive skills. In the course of psychological rehabilitation, dynamic changes were found in the integral indicator of negative symptoms (p=0.01), blunted affect (p=0.04), anhedonia (p=0.04), and asociality (p=0.03), as well as in cognitive skills (p=0.03). The correlation analysis indicated a potential for rehabilitation that is presumably latent in the following areas: psychological defense mechanisms, coping strategies, motivation to use psychoactive substances, and time perspective. The future direction of this work is aimed at confirming the identified relationships through practical experience within a long-term, systematic, and multifaceted psychological rehabilitation program.
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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 | 0.001 |
| 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".