ArticleSchizophrenia bulletin2025
Schizotypal Traits, Psychopathology, and Reflective Functioning Impairments During Adolescence: A Bayesian Network Approach.
Article in Schizophrenia bulletin, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Structure and temporal stability of adolescent psychotic experiences: findings from a German longitudinal cohort study.Psychological medicine · 2026Article
- The relationship of sensory processing with ADHD and its co-occurring behavioural symptoms based on both undirected and directed network analysis.BMC psychiatry · 2025Article
- Neuroscience of Schizotypy: A Translational Perspective From Phenotype to Genetics and Brain Networks.Schizophrenia bulletin · 2025Article
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Authors and funding
5 authors.
Funding
Abstract
backgroundNew theoretical and measurement models related to Bayesian networks can usefully be implemented to enrich our understanding of psychosis risk. The present study aims to explore, using a directed acyclic graph (DAG), the putative causal relationship within schizotypal facets, as well as between schizotypal dimensions, psychopathology, and reflective functioning (RF) impairments, in a representative sample of non-clinical adolescents. STUDY
designA sample of 1476 adolescents from the general population participated in a cross-sectional survey. The Oviedo Schizotypy Assessment Questionnaire-Revised, the Strengths and Difficulties Questionnaire, and the Reflective Functioning Questionnaire (RFQ) were used. STUDY
resultsSchizotypal traits were positively associated with psychopathology and hypomentalizing. Putative causal relationships are presented between Reality distortion, Social disorganization, and Anhedonia. In addition, estimated DAG suggests that schizotypal dimensions influence psychopathology and RF impairments.
conclusionsThe findings suggest different pathways connecting schizotypal traits, mental health problems, and RF impairments during adolescence. The use of probabilistic DAG may allow us to make more robust conclusions about the direction of causation and to unravel potentially complex causal chains in the study of psychosis risk.
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