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Prediction of prodromal symptoms and schizophrenia-spectrum personality disorder traits by positive and negative schizotypy : A 3-year prospective study
Racioppi, Anna (Universitat Autònoma de Barcelona. Departament de Psicologia Clínica i de la Salut)
Sheinbaum Frank, Tamara (University of Southern California. Department of Psychology)
Gross, Georgina M. (Yale School of Medicine)
Ballespí Sola, Sergi (Universitat Autònoma de Barcelona. Departament de Psicologia Clínica i de la Salut)
Kwapil, Thomas R. (University of Illinois at Urbana-Champaign. Department of Psychology)
Barrantes-Vidal, Neus (Centro de Investigación Biomédica en Red de Salud Mental)

Fecha: 2018
Resumen: The present study extends previous cross-sectional findings by examining the predictive validity of positive and negative schizotypy in a young adult sample at a three-year follow-up. Schizotypy and schizophrenia share a comparable multidimensional structure with positive and negative dimensions being the most strongly supported factors. Previous cross-sectional and longitudinal studies employing the psychometric high-risk strategy indicated that schizotypy is a useful method for identifying risk and resilience factors for the development of schizophrenia-spectrum psychopathology. In the present study, 103 participants (77% of 134 candidate participants) were reassessed at a three-year follow-up. As hypothesized, positive schizotypy predicted psychotic-like symptoms, depression, low self-esteem, and general psychopathology. Negative schizotypy predicted emotional disturbances, schizoid personality traits, and mental health treatment during the past year. As expected, both schizotypy dimensions predicted schizotypal, paranoid, and avoidant personality traits, and impaired functioning. These longitudinal findings provide additional evidence supporting the multidimensional model of schizotypy as a valid framework for studying etiological mechanisms and trajectories of psychosis.
Ayudas: Ministerio de Economía y Competitividad PSI2017-87512-C2-01
Agència de Gestió d'Ajuts Universitaris i de Recerca 2017-SGR-1612
Ministerio de Economía y Competitividad BOE-A-2015-6508
Derechos: Aquest document està subjecte a una llicència d'ús Creative Commons en que s'entrega l'obra al domini públic. Podeu copiar, modificar, distribuir l'obra i fer-ne comunicació pública, fins i tot amb finalitat comercial, sense demanar cap mena de permís. Public domain
Lengua: Anglès
Documento: Article ; recerca ; Versió publicada
Publicado en: PloS one, Vol. 13 (november 2018) , ISSN 1932-6203

DOI: 10.1371/journal.pone.0207150
PMID: 30408119


18 p, 1.1 MB

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