T93. PERSONALITY TRAITS AND PSYCHOTIC SYMPTOMS IN RECENT ONSET OF PSYCHOSIS PATIENTS
Bibliographic record
Abstract
Personality in patients with psychosis, and particularly its relation to psychotic symptoms in recent onset of psychosis (ROP) patients, is understudied. The aims of this research were, first, to study the relation between each clinically significant personality trait (CSPT) and psychotic symptoms, and second, to study the variance of each CSPT that was explained by psychotic symptoms, sex and age. Sample: Data was obtained from 94 ROP patients (78.7% males; mean age: 24.67(4.59)). Measures: The Millon Clinical Multiaxial Inventory (MCMI) and the Positive and Negative Syndrome Scale were used to assess CSPT (schizoid, avoidant, dependent, depressive, histrionic, narcissistic, antisocial, sadistic, compulsive, negativistic, masochistic, schizotypal, borderline, paranoid) and psychotic symptoms (positive, negative, disorganized, exited, and anxiety and depression). Statistical analyses: U Mann–Whitney tests and multivariate logistic regressions were carried out to test the association between clinical personality traits adjusting for symptoms, sex and age. From the 94 patients, 13.9% had schizoid, 20.8% had avoidant, 7.9% had depressive, 7.9% had dependent, 5% histrionic, 15.8% narcissistic, 9.9% antisocial, 6.9 % sadistic, 14.9% compulsive, 1% negativistic, 0% masochistic, 2% schizotypal, 2% borderline, 5% paranoid CSPT. Negative psychotic symptoms were higher in patients with schizoid CSPT. The excited symptoms were lower for those with avoidant and depressive CSPT. The anxiety and depression symptoms were higher for patients with dependent CSPT. The positive psychotic symptoms were lower for patients with histrionic and higher for patients with compulsive CSPT. Logistic regression demonstrated that gender and positive and negative symptoms explained 35.9% of the variance of the schizoid CSPT. Excited symptoms explained 9.1% of the variance of the avoidant CSPT. Anxiety and depression symptoms and age explained 31.3% of the dependent CSPT. Gender explained 11.6% of the histrionic CSPT, 14.5% of the narcissistic CSPT and 11.6% of the paranoid CSPT. Finally, gender and positive dimension explained 16.1% of the compulsive CSPT. The study highlights the importance of studying personality in patients with psychosis as it broadens understating of the patients themselves and the symptoms suffered.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".