Comparisons of schizotypal traits across 12 countries: Results from the International Consortium for Schizotypy Research

Autor: Axit Fumero, Johanna C. Badcock, Javier Ortuño-Sierra, Raymond C.K. Chan, José Muñiz, Thomas R. Kwapil, Mohamed Aymen Lahmar, Michael T. Compton, Alex S. Cohen, Eduardo Fonseca-Pedrero, Alicia Pérez de Albéniz, Julie A. Suhr, Assen Jablensky, Martin Debbané, Anwar Mechri, Erin B. Tone, Michael Chmielewski, Colleen A. Brenner, Neus Barrantes-Vidal, Ioannis Tsaousis, Adrian Raine, Julien Laloyaux, David C. Cicero, Emma Barkus, Stella G. Giakoumaki, Viviana M. Wuthrich, Richard J. Linscott, Lisa C. Zhang, Antonio Preti, Frank Larøi
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: RIUR. Repositorio Institucional de la Universidad de La Rioja
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Popis: Background: Schizotypal traits are expressions of underlying vulnerability to psychotic disorders which have a potential impact on mental health status, neurocognition, quality of life, and daily functioning. To date, little research has examined epidemiologic landscape of schizotypal traits at the cross-national level. Our aim was to study the expression of schizotypal traits by sex, age, and country in a combined sample gathered from 12 countries. Methods: A total of 27,001 participants completed the Schizotypal Personality Questionnaire (SPQ). The mean age of participants was 22.12 (SD = 6.28); 37.5% (n = 10,126) were males. Results: Schizotypal traits varied according to sex, age, and country. Females scored higher than males in the positive dimension, whereas males scored higher in the disorganization dimension. By age, a significant decrease in the positive schizotypal traits was observed. Epidemiological expression of schizotypal traits varied by country. Moreover, several interactions by sex, age, and country were found. Conclusions: This pattern is similar to those found in patients with psychosis and psychotic-like experiences. These findings provide new insights and the opportunity to explore the phenotypic expression of schizotypal traits at cross-national level. © 2018
Databáze: OpenAIRE