TY - JOUR
T1 - The Network Structure of Schizotypal Personality Traits
AU - Fonseca-Pedrero, Eduardo
AU - Ortuño, Javier
AU - Debbané, Martin
AU - Chan, Raymond C.K.
AU - Cicero, David
AU - Zhang, Lisa C.
AU - Brenner, Colleen
AU - Barkus, Emma
AU - Linscott, Richard J.
AU - Kwapil, Thomas
AU - Barrantes-Vidal, Neus
AU - Cohen, Alex
AU - Raine, Adrian
AU - Compton, Michael T.
AU - Tone, Erin B.
AU - Suhr, Julie
AU - Inchausti, Felix
AU - Bobes, Julio
AU - Fumero, Axit
AU - Giakoumaki, Stella
AU - Tsaousis, Ioannis
AU - Preti, Antonio
AU - Chmielewski, Michael
AU - Laloyaux, Julien
AU - Mechri, Anwar
AU - Aymen Lahmar, Mohamed
AU - Wuthrich, Viviana
AU - Larøi, Frank
AU - Badcock, Johanna C.
AU - Jablensky, Assen
AU - Isvoranu, Adela M.
AU - Epskamp, Sacha
AU - Fried, Eiko I.
N1 - E.F.P. was supported by the Spanish Ministry of Science and Innovation (MICINN) (PSI2014-56114-P), the Instituto Carlos III, Center for Biomedical Research in the Mental Health Network (CIBERSAM), 2015 edition of the BBVA Foundation Grants for Researchers and Cultural Creators and AYUDAS FUNDACIÓN BBVA A EQUIPOS DE INVESTIGACION CIENTIFICA 2017. E.I.F. was supported by the European Research Council Consolidator grant no. 647209. M.D. was supported by the Swiss National Science Foundation (100019_159440). R.C.K.C. was supported by the National Basic Research Program of China (Precision Psychiatry Programme: 2016YFC0906402), the Beijing Training Project for Leading Talents in S&T (Z151100000315020), the Beijing Municipal Science & Technology Commission grant (Z161100000216138), and the CAS/SAFEA International Partnership Programme for Creative Research Teams (Y2CX131003). S.G. and I.T. were supported by the “ARISTEIA II” Action of the Operational Programme Education and Lifelong Learning and was co-funded by the European Social Fund (ESF) and National Resources (grant number KA 2990). A.M.I. was supported by the Netherlands Organisation for Scientific Research (NWO) Talent.
PY - 2018/10/15
Y1 - 2018/10/15
N2 - 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 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.
AB - 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 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.
KW - SPQ
KW - mental disorders
KW - network
KW - psychosis
KW - schizotypal personality
KW - schizotypy
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U2 - 10.1093/schbul/sby044
DO - 10.1093/schbul/sby044
M3 - Article
C2 - 29684178
AN - SCOPUS:85054995136
SN - 0586-7614
VL - 44
SP - S468-S479
JO - Schizophrenia Bulletin
JF - Schizophrenia Bulletin
ER -