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Psychotic-like experiences as overdetermined phenomena: When do they increase risk for psychotic disorder?

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    Continuous measures, such as severity of negative symptoms or severity of attenuated psychotic symptoms (APS), are routinely (and often repeatedly) obtained during the study period, however rarely adequately analysed and reported in outcome papers, which typically focus on the dichotomous final endpoint (transition vs non-transition). Moreover, while heterogeneity of the UHR group has been recognized (Fusar-Poli, Cappucciati, Borgwardt, & et al., 2016; Nelson & Yung, 2009; van Os & Guloksuz, 2017), the existing literature treats the UHR population as a homogeneous construct with a common pathway, thereby masking individual symptom and functional trajectories for which course and thus treatment indication may differ considerably (Xie, McHugo, & Drake, 2009). Latent Class Growth Modelling (LCGM), however, can be used to investigate unobserved heterogeneity by identifying homogenous subpopulations with comparable growth trajectories over time (‘latent classes’), as well as their characteristics and correlates (Muthen, 2004; Nylund, Asparouhov, & Muthén, 2007).

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    Schizotypal traits are present in the general population and are distributed along a continuum of adjustment, the clinical disorder (psychosis) being found at its extremity (Claridge, 1997). Along this continuum we can find “intermediate” phenotypical expressions which, without reaching a clinical level, are associated with greater current psychopathological intensity, severity and related impairment (Nelson and Yung, 2009; van Os et al., 2009; Armando et al., 2010; Barragan et al., 2011). Moreover, individuals with high scores in self-reports for schizotypy – or Psychotic-Like Experiences (PLEs) – are at greater future risk of developing schizophrenia-spectrum disorders (Poulton et al., 2000; Gooding et al., 2005; Welham et al., 2009; Dominguez et al., 2011).

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