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Article: The Network Structure of Schizotypal Personality Traits

TitleThe Network Structure of Schizotypal Personality Traits
Authors
Keywordsmental disorders
network
psychosis
schizotypal personality
schizotypy
SPQ
Issue Date2018
Citation
Schizophrenia Bulletin, 2018, v. 44, p. S468-S479 How to Cite?
AbstractElucidating schizotypal traits is important if we are to understand the various manifestations of psychosis spectrum liability and to reliably identify individuals at high risk for psychosis. The present study examined the network structures of (1) 9 schizotypal personality domains and (2) 74 individual schizotypal items, and (3) explored whether networks differed across gender and culture (North America vs China). The study was conducted in a sample of 27001 participants from 12 countries and 21 sites (M age = 22.12; SD = 6.28; 37.5% males). The Schizotypal Personality Questionnaire (SPQ) was used to assess 74 self-report items aggregated in 9 domains. We used network models to estimate conditional dependence relations among variables. In the domain-level network, schizotypal traits were strongly interconnected. Predictability (explained variance of each node) ranged from 31% (odd/magical beliefs) to 55% (constricted affect), with a mean of 43.7%. In the item-level network, variables showed relations both within and across domains, although within-domain associations were generally stronger. The average predictability of SPQ items was 27.8%. The network structures of men and women were similar (r =.74), node centrality was similar across networks (r =.90), as was connectivity (195.59 and 199.70, respectively). North American and Chinese participants networks showed lower similarity in terms of structure (r = 0.44), node centrality (r = 0.56), and connectivity (180.35 and 153.97, respectively). In sum, the present article points to the value of conceptualizing schizotypal personality as a complex system of interacting cognitive, emotional, and affective characteristics.
Persistent Identifierhttp://hdl.handle.net/10722/367531
ISSN
2023 Impact Factor: 5.3
2023 SCImago Journal Rankings: 2.249

 

DC FieldValueLanguage
dc.contributor.authorFonseca-Pedrero, Eduardo-
dc.contributor.authorOrtuño, Javier-
dc.contributor.authorDebbané, Martin-
dc.contributor.authorChan, Raymond C.K.-
dc.contributor.authorCicero, David-
dc.contributor.authorZhang, Lisa C.-
dc.contributor.authorBrenner, Colleen-
dc.contributor.authorBarkus, Emma-
dc.contributor.authorLinscott, Richard J.-
dc.contributor.authorKwapil, Thomas-
dc.contributor.authorBarrantes-Vidal, Neus-
dc.contributor.authorCohen, Alex-
dc.contributor.authorRaine, Adrian-
dc.contributor.authorCompton, Michael T.-
dc.contributor.authorTone, Erin B.-
dc.contributor.authorSuhr, Julie-
dc.contributor.authorInchausti, Felix-
dc.contributor.authorBobes, Julio-
dc.contributor.authorFumero, Axit-
dc.contributor.authorGiakoumaki, Stella-
dc.contributor.authorTsaousis, Ioannis-
dc.contributor.authorPreti, Antonio-
dc.contributor.authorChmielewski, Michael-
dc.contributor.authorLaloyaux, Julien-
dc.contributor.authorMechri, Anwar-
dc.contributor.authorAymen Lahmar, Mohamed-
dc.contributor.authorWuthrich, Viviana-
dc.contributor.authorLarøi, Frank-
dc.contributor.authorBadcock, Johanna C.-
dc.contributor.authorJablensky, Assen-
dc.contributor.authorIsvoranu, Adela M.-
dc.contributor.authorEpskamp, Sacha-
dc.contributor.authorFried, Eiko I.-
dc.date.accessioned2025-12-19T07:57:16Z-
dc.date.available2025-12-19T07:57:16Z-
dc.date.issued2018-
dc.identifier.citationSchizophrenia Bulletin, 2018, v. 44, p. S468-S479-
dc.identifier.issn0586-7614-
dc.identifier.urihttp://hdl.handle.net/10722/367531-
dc.description.abstractElucidating schizotypal traits is important if we are to understand the various manifestations of psychosis spectrum liability and to reliably identify individuals at high risk for psychosis. The present study examined the network structures of (1) 9 schizotypal personality domains and (2) 74 individual schizotypal items, and (3) explored whether networks differed across gender and culture (North America vs China). The study was conducted in a sample of 27001 participants from 12 countries and 21 sites (M age = 22.12; SD = 6.28; 37.5% males). The Schizotypal Personality Questionnaire (SPQ) was used to assess 74 self-report items aggregated in 9 domains. We used network models to estimate conditional dependence relations among variables. In the domain-level network, schizotypal traits were strongly interconnected. Predictability (explained variance of each node) ranged from 31% (odd/magical beliefs) to 55% (constricted affect), with a mean of 43.7%. In the item-level network, variables showed relations both within and across domains, although within-domain associations were generally stronger. The average predictability of SPQ items was 27.8%. The network structures of men and women were similar (r =.74), node centrality was similar across networks (r =.90), as was connectivity (195.59 and 199.70, respectively). North American and Chinese participants networks showed lower similarity in terms of structure (r = 0.44), node centrality (r = 0.56), and connectivity (180.35 and 153.97, respectively). In sum, the present article points to the value of conceptualizing schizotypal personality as a complex system of interacting cognitive, emotional, and affective characteristics.-
dc.languageeng-
dc.relation.ispartofSchizophrenia Bulletin-
dc.subjectmental disorders-
dc.subjectnetwork-
dc.subjectpsychosis-
dc.subjectschizotypal personality-
dc.subjectschizotypy-
dc.subjectSPQ-
dc.titleThe Network Structure of Schizotypal Personality Traits-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1093/schbul/sby044-
dc.identifier.pmid29684178-
dc.identifier.scopuseid_2-s2.0-85054995136-
dc.identifier.volume44-
dc.identifier.spageS468-
dc.identifier.epageS479-
dc.identifier.eissn1745-1701-

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