The Network Structure of Schizotypal Personality Traits
文献类型:期刊论文
作者 | Fonseca-Pedrero, Eduardo1,2; Ortuno, Javier1; Debbane, Martin3,4; Chan, Raymond C. K.5,6![]() |
刊名 | SCHIZOPHRENIA BULLETIN
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出版日期 | 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 |
DOI | 10.1093/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. |
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 |
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研究方向 | Psychiatry |
语种 | 英语 |
WOS记录号 | WOS:000448172600003 |
出版者 | OXFORD UNIV PRESS |
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 |
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. |
入库方式: OAI收割
来源:心理研究所
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