LEXITHYMIA AND PSYCHOPATHOLOGICAL SYMPTOMS IN PATIENTS WITH OBSESSIVE-COMPULSIVE DISORDER AND SCHIZOPHRENIA WITH PSEUDOOBSESIVE SYMPTOMS: A COMPARATIVE ANALYSIS OF RELATIONSHIPS
Bibliographic record
Abstract
Obsessions and pseudoobsessions are often impregnated with other psychopathological symptoms — anxiety, depression, irritability, asthenia. In some cases, the array of comorbid psychopathology, which patients present in the form of complaints, may come to the fore, overshadowing obsessions and complicating both the diagnosis and treatment of such patients. Alexithymia is an important factor in forming a set of complaints with which patients come to the attention of a psychiatrist. However, despite the significance of alexithymia for the formation of the clinical picture of mental illnesses, its influence on the manifestations of psychopathological symptoms in patients with OCD and patients with schizophrenia with pseudoobsessions remains poorly studied. The purpose of the study - to determine the effect of alexithymia on the severity of psychopathological symptoms in patients with OCD and patients with schizophrenia with pseudoobsessions. 54 patients with OCD and 40 patients with schizophrenia and pseudoobsessions were examined. The level of alexithymia was assessed using the Toronto Alexithymia Scale (TAS). The intensity of obsessive and pseudoobsessive symptoms was determined using the Yale-Brown Obsessive Compulsive Disorder Scale (Y-BOCS). Anxiety and depression were assessed using the Hospital Anxiety and Depression Scale (HADS). As a result of the study, it was found that most patients with schizophrenia had pronounced alexithymia, while for patients with OCD alexithymia was uncharacteristic and more often corresponded to the level of subclinical values. It was found that among patients with OCD, individuals with a high level of alexithymia were inclined to interpret their obsessive experiences as more severe, while in patients with schizophrenia, the correlation coefficient between the severity of alexithymia and the severity of pseudo-obsessions was equal to zero. The severity of anxiety and depression had a positive statistically significant correlation of medium strength with alexithymia indicators in both groups, which means a moderate tendency of patients to aggravate the symptoms of the affective sphere with an increase in inadequate interpretation of their own feelings and emotions, regardless of the underlying disease.
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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 | 0.001 | 0.001 |
| 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".