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
刊名SCHIZOPHRENIA BULLETIN
2018-11-01
卷号44页码:S468-S479
关键词Schizotypy Schizotypal Personality Psychosis Network Spq Mental Disorders
ISSN号0586-7614
DOI10.1093/schbul/sby044
产权排序5
文献子类Article
英文摘要

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.

资助项目Spanish 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关键词Psychopathology Symptom Networks ; Familial High-risk ; Measurement Invariance ; Sex-differences ; General-population ; Psychotic Disorder ; Limited Replicability ; 3-factor Model ; Schizophrenia ; Questionnaire
WOS研究方向Psychiatry
语种英语
出版者OXFORD UNIV PRESS
WOS记录号WOS:000448172600003
资助机构Spanish 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
内容类型期刊论文
源URL[http://ir.psych.ac.cn/handle/311026/27312]  
专题心理研究所_中国科学院心理健康重点实验室
通讯作者Fonseca-Pedrero, Eduardo
作者单位1.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
推荐引用方式
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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