Título Classifying risk status of non-clinical adolescents using psychometric indicators for psychosis spectrum disorders
Autores Fonseca-Pedrero, Eduardo , Gooding, Diane C. , ORTUÑO SIERRA, JAVIER, Pflum, Madeline , Paino, Mercedes , Muniz, Jose
Publicación externa No
Medio Psychiatry Res.
Alcance Article
Naturaleza Científica
Cuartil JCR 2
Cuartil SJR 1
Impacto JCR 2.52800
Impacto SJR 1.23800
Web https://www.scopus.com/inward/record.uri?eid=2-s2.0-84978301550&doi=10.1016%2fj.psychres.2016.06.049&partnerID=40&md5=ec9d0fe5f8835ffb65b46dbbd9fd46a9
Fecha de publicacion 30/09/2016
ISI 000383812800040
Scopus Id 2-s2.0-84978301550
DOI 10.1016/j.psychres.2016.06.049
Abstract This study is an attempt to evaluate extant psychometric indicators using latent profile analysis for classifying community-derived individuals based on a set of clinical, behavioural, and personality traits considered risk markers for psychosis spectrum disorders. The present investigation included four hundred and forty-nine high-school students between the ages of 12 and 19. We used the following to assess risk: the Prodromal Questionnaire-Brief (PQ-B), Oviedo Schizotypy Assessment Questionnaire (ESQUIZO-Q), Anticipatory and Consummatory Interpersonal Pleasure Scale-Adolescent version (ACIPS-A), and General Health Questionnaire 12 (GHQ-12). Using Latent profile analysis six latent classes (LC) were identified: participants in class 1 (LC1) displayed little or no symptoms and accounted for 38.53% of the sample; class 2 (LC2), who accounted for 28.06%, also produced low mean scores across most measures though they expressed somewhat higher levels of subjective distress; LC3, a positive schizotypy group (10.24%); LC4 (13.36%), a psychosis high-risk group; LC5, a high positive and negative schizotypy group (4.45%); and LC6, a very high distress, severe clinical high-risk group, comprised 5.34% of the sample. The current research indicates that different latent classes of early individuals at risk can be empirically defined in adolescent community samples using psychometric indicators for psychosis spectrum disorders. These findings may have implications for early detection and prevention strategies in psychosis spectrum disorders. (C) 2016 Elsevier Ireland Ltd. All rights reserved.
Palabras clave Prodromal symptoms; Early detection; Schizotypal; Social/interpersonal pleasure; Anhedonia; Latent class
Miembros de la Universidad Loyola

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