Subtyping attenuated psychotic symptoms: A cluster analytic approach
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UNIL restricted access
State: Public
Version: Final published version
License: Not specified
Serval ID
serval:BIB_A48FEC57EF4D
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Subtyping attenuated psychotic symptoms: A cluster analytic approach
Journal
Journal of Clinical Psychology
ISSN
0021-9762
Publication state
Published
Issued date
2018
Peer-reviewed
Oui
Volume
74
Number
12
Pages
2117-2133
Language
english
Abstract
Objective The aim of the present study is to examine the heterogeneity
of attenuated psychotic symptoms (PS) and related personality
factors using a cluster analytic approach.
Method A large sample of participants from the general population
was evaluated in terms of attenuated symptomatology (psychotic
and affective) and two personality factors: encoding style and impulsivity
traits.
Results Cluster analysis emphasized the existence of five independent
clusters: High Psychosis, High Positive, High Negative, High
Impulsive-Low Psychosis, and Low Psychosis. Cluster comparisons
demonstrated that the personality factors and PS are differentially
involved in the clusters.
Conclusions The present study demonstrated that reliable and relatively
distinct clusters of individuals from the general population can
be identified based on established PS and related personality factors.
The fact that a variety of profiles was observed contributes to a better
understanding of the nature of the heterogeneity characterizing
PS and has clear theoretical and clinical implications.
of attenuated psychotic symptoms (PS) and related personality
factors using a cluster analytic approach.
Method A large sample of participants from the general population
was evaluated in terms of attenuated symptomatology (psychotic
and affective) and two personality factors: encoding style and impulsivity
traits.
Results Cluster analysis emphasized the existence of five independent
clusters: High Psychosis, High Positive, High Negative, High
Impulsive-Low Psychosis, and Low Psychosis. Cluster comparisons
demonstrated that the personality factors and PS are differentially
involved in the clusters.
Conclusions The present study demonstrated that reliable and relatively
distinct clusters of individuals from the general population can
be identified based on established PS and related personality factors.
The fact that a variety of profiles was observed contributes to a better
understanding of the nature of the heterogeneity characterizing
PS and has clear theoretical and clinical implications.
Keywords
Arts and Humanities (miscellaneous), Clinical Psychology, delusion, encoding style, hallucination, impulsivity, schizophrenia, schizotypy
Pubmed
Web of science
Create date
10/01/2020 9:30
Last modification date
15/01/2020 10:24