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The Network Structure of Schizotypal Personality Traits
Fonseca-Pedrero, Eduardo1,2; Ortuno, Javier1; Debbane, Martin3,4; Chan, Raymond C. K.5,6; Cicero, David7; Zhangs, Lisa C.8; Brenner, Colleen8; Barkus, Emma9; Linscott, Richard J.10; Kwapil, Thomas11; Barrantes-Vidal, Neus12; Cohen, Alex13; Raine, Adrian14,15,16; Compton, Michael T.17; Tones, Erin B.18; Suhr, Julie19; Inchausti, Felix20; Bobes, Julio2,21; Fumero, Axit22; Giakoumaki, Stella23; Tsaousis, Ioannis23; Preti, Antonio24; Chmielewski, Michael25; Laloyaux, Julien26,27,28; Mechri, Anwar29; Lahmar, Mohamed Aymen29; Wuthrich, Viviana30; Laroi, Frank26,27,28; Badcock, Johanna C.31; Jablensky, Assen31; Isvoranu, Adela M.32; Epskamp, Sacha32; Fried, Eiko, I32,33
First AuthorFonseca-Pedrero, Eduardo
2018-11-01
Source PublicationSCHIZOPHRENIA BULLETIN
Correspondent Emaileduardo.fonseca@unirioja.es
ISSN0586-7614
SubtypeArticle
Volume44Pages:S468-S479
Contribution Rank5
Abstract

Elucidating 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 27 001 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.

KeywordSchizotypy Schizotypal Personality Psychosis Network Spq Mental Disorders
DOI10.1093/schbul/sby044
Indexed BySCIE
Language英语
Funding OrganizationSpanish Ministry of Science and Innovation (MICINN) ; Instituto Carlos III, Center for Biomedical Research in the Mental Health Network (CIBERSAM) ; BBVA Foundation Grants for Researchers and Cultural Creators ; European Research Council ; Swiss National Science Foundation ; National Basic Research Program of China ; Beijing Training Project for Leading Talents in ST ; Beijing Municipal Science & Technology Commission ; CAS/SAFEA International Partnership Programme for Creative Research Teams ; European Social Fund (ESF) ; Netherlands Organisation for Scientific Research (NWO) Talent ; AYUDAS FUNDACION BBVA A EQUIPOS DE INVESTIGACION CIENTIFICA 2017
Funding ProjectSpanish Ministry of Science and Innovation (MICINN)[PSI2014-56114-P] ; Instituto Carlos III, Center for Biomedical Research in the Mental Health Network (CIBERSAM) ; BBVA Foundation Grants for Researchers and Cultural Creators ; European Research Council[647209] ; Swiss National Science Foundation[100019_159440] ; National Basic Research Program of China[2016YFC0906402] ; Beijing Training Project for Leading Talents in ST[Z151100000315020] ; Beijing Municipal Science & Technology Commission[Z161100000216138] ; CAS/SAFEA International Partnership Programme for Creative Research Teams[Y2CX131003] ; European Social Fund (ESF) ; Netherlands Organisation for Scientific Research (NWO) Talent ; AYUDAS FUNDACION BBVA A EQUIPOS DE INVESTIGACION CIENTIFICA 2017
WOS Research AreaPsychiatry
WOS SubjectPsychiatry
WOS IDWOS:000448172600003
PublisherOXFORD UNIV PRESS
WOS KeywordPsychopathology Symptom Networks ; Familial High-risk ; Measurement Invariance ; Sex-differences ; General-population ; Psychotic Disorder ; Limited Replicability ; 3-factor Model ; Schizophrenia ; Questionnaire
Citation statistics
Cited Times:5[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/27312
Collection中国科学院心理健康重点实验室
Corresponding AuthorFonseca-Pedrero, Eduardo
Affiliation1.Univ La Rioja, Dept Educ Sci, La Rioja, Spain
2.Ctr Invest Biomed Red Salud Mental CIBERSAM, Oviedo, Spain
3.Univ Geneva, Fac Psychol & Educ Sci, Geneva, Switzerland
4.UCL, Dept Clin Educ & Hlth Psychol, London, England
5.Chinese Acad Sci, Inst Psychol, Neuropsychol & Appl Cognit Neurosci Lab, CAS Key Lab Mental Hlth, Beijing, Peoples R China
6.Univ Chinese Acad Sci, Dept Psychol, Beijing, Peoples R China
7.Univ Hawaii Manoa, Dept Psychol, Honolulu, HI 96822 USA
8.Univ British Columbia, Dept Psychol, Vancouver, BC, Canada
9.Univ Wollongong, Sch Psychol, Wollongong, Australia
10.Univ Otago, Dept Psychol, Dunedin, New Zealand
11.Univ North Carolina Greensboro, Dept Psychol, Greensboro, NC USA
12.Univ Autonoma Barcelona, Dept Clin & Hlth Psychol, Barcelona, Spain
13.Louisiana State Univ, Dept Psychol, Baton Rouge, LA 70803 USA
14.Univ Penn, Dept Criminol, Philadelphia, PA 19104 USA
15.Univ Penn, Dept Psychiat, Philadelphia, PA 19104 USA
16.Univ Penn, Dept Psychol, Philadelphia, PA 19104 USA
17.Lenox Hill Hosp, Dept Psychiat, New York, NY 10021 USA
18.Georgia State Univ, Dept Psychol, Univ Plaza, Atlanta, GA 30303 USA
19.Ohio Univ, Dept Psychol, Athens, OH 45701 USA
20.Univ Navarra, Dept Med, Pamplona, Spain
21.Univ Oviedo, Dept Psychiat, Oviedo, Spain
22.Univ La Laguna, Dept Psychol, Tenerife, Spain
23.Univ Crete, Dept Psychol, Rethimnon, Greece
24.Genneruxi Med Ctr, Cagliari, Italy
25.Southern Methodist Univ, Dept Psychol, Dallas, TX USA
26.Univ Bergen, Dept Biol & Med Psychol, Bergen, Norway
27.Univ Oslo, NORMENT Norwegian Ctr Excellence Mental Disorders, Oslo, Norway
28.Univ Liege, Psychol & Neurosci Cognit Res Unit, Liege, Belgium
29.Univ Hosp Monastir, Psychiat Dept, Monastir, Tunisia
30.Macquarie Univ, Ctr Emot Hlth, Dept Psychol, Sydney, NSW, Australia
31.Univ Western Australia, Ctr Clin Res Neuropsychiat, Sch Psychiat & Clin Neurosci, Perth, WA, Australia
32.Univ Amsterdam, Dept Psychol, Amsterdam, Netherlands
33.Leiden Univ, Dept Clin Psychol, Leiden, Netherlands
Recommended Citation
GB/T 7714
Fonseca-Pedrero, Eduardo,Ortuno, Javier,Debbane, Martin,et al. The Network Structure of Schizotypal Personality Traits[J]. SCHIZOPHRENIA BULLETIN,2018,44:S468-S479.
APA Fonseca-Pedrero, Eduardo.,Ortuno, Javier.,Debbane, Martin.,Chan, Raymond C. K..,Cicero, David.,...&Fried, Eiko, I.(2018).The Network Structure of Schizotypal Personality Traits.SCHIZOPHRENIA BULLETIN,44,S468-S479.
MLA Fonseca-Pedrero, Eduardo,et al."The Network Structure of Schizotypal Personality Traits".SCHIZOPHRENIA BULLETIN 44(2018):S468-S479.
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