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Record W2794759338 · doi:10.1093/schbul/sby016.369

T93. PERSONALITY TRAITS AND PSYCHOTIC SYMPTOMS IN RECENT ONSET OF PSYCHOSIS PATIENTS

2018· article· en· W2794759338 on OpenAlexaff
Julia Sevilla‐Llewellyn‐Jones, Olga Santesteban‐Echarri, Pablo Cano‐Domínguez, Antonia de‐Luis‐Matilla, Alberto Espina‐Eizaguirre, Berta Moreno‐Küstner, Susana Ochoa

Bibliographic record

VenueSchizophrenia Bulletin · 2018
Typearticle
Languageen
FieldPsychology
TopicPersonality Disorders and Psychopathology
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPsychologyPsychosisAnxietyClinical psychologySadistic personality disorderDepression (economics)PsychiatryMillon Clinical Multiaxial InventorySchizophrenia (object-oriented programming)PersonalityPersonality disorders

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.016
GPT teacher head0.287
Teacher spread0.271 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2018
Admission routes1
Has abstractyes

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