ArticleScientific reports2022
Latent state-trait structure of BPRS subscales in clinical high-risk state and first episode psychosis.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Comparing the latent state-trait structure of the PANSS in cariprazine-medicated and placebo-controlled patients with acute schizophrenia.European archives of psychiatry and clinical neuroscience · 2024Trial
- Using Large Language Models to Measure Symptom Severity Scores in Patients At-Risk for Schizophrenia.Schizophrenia bulletin · 2026Article
- Psychosis superspectrum I: Nosology, etiology, and lifespan development.Molecular psychiatry · 2024Review
- Relationships between erythrocyte membrane mono- and poly- unsaturated fatty acid composition and clinical/cognitive indices in antipsychotic-free schizophrenia patients.Frontiers in psychiatry · 2024Article
- Analysis of polyunsaturated fatty acids in antipsychotic-free individuals with at-risk mental state and patients with first-episode schizophrenia.Frontiers in psychiatry · 2023Article
- Synergising latent profile analysis and network analysis to elucidate the relationships among emotion dysregulation, post-traumatic stress disorder, dissociation, psychosis, and affective symptoms in individuals with trauma and severe mental illness.International journal of clinical and health psychology : IJCHPArticle
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Authors and funding
9 authors.
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Abstract
To investigate the longitudinal latent state-trait structure of the different dimensions of psychosis symptoms in clinical high-risk state (CHRS) and first episode psychosis (FEP) individuals over a one year time-span. This paper examines if the symptom clusters Positive Symptoms, Negative Symptoms, Affectivity, Resistance, Activation, and Excitement according to the Brief Psychiatric Rating Scale (BPRS) differ in their trait and state characters in 196 CHRS and 131 FEP individuals. Statistical analysis was performed using latent state-trait analysis. On average, trait differences accounted for 72.2% of Positive Symptoms, 81.1% of Negative Symptoms, 57.0% of Affectivity, and 69.2% of Activation, whereas 15.0% of the variance of Resistance and 13.2% of the variance of Excitement were explained by trait differences. Explorative analyses showed a trait components' increase of 0.408 in Positive Symptoms from baseline up to the 9th month and an increase of 0.521 in Affectivity from baseline up to the 6th month. Negative Symptoms had the highest trait component levels of all subscales between baseline and 6 months. The finding that an increasing proportion of psychosis symptoms is persisting over time underlines the importance of early intervention programs in individuals with psychotic disorders.
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