Abstract
Background and aim - Evidence on discrete dimensions underlining negative symptoms in First Episode Affective Psychosis (FEAP) may be useful for their treatment strategy, but is still relatively scarce. Aim of this study was to examine the negative symptom configuration in patients with FEAP using both exploratory and confirmatory factor analysis methods on the Positive And Negative Syndrome Scale (PANSS). Methods - Seventy-eight participants, aged 13-35 years, completed the PANSS within the "Parma Early Psychosis" (Pr-EP) program, a specialized protocol of early detection and intervention in psychosis implemented since January 2013 in all public adolescent and adult mental health services of the Parma Department of Mental Health (Northern Italy). Results - A 3-factor model (i.e. "Alogia", "Social Withdrawal" and "Motor/Affective Expression Poverty" domains) was identified. As an alternative, a 2-factor solution previously proposed in patients with first episode schizophrenia (always within the Pr-EP program) also showed good fit indices in our FEAP sample. Conclusions - Our results suggest the crucial importance of identifying discrete negative symptom domains already at the onset of affective psychosis in order to implement specific early intervention strategies aiming to improve prognosis and long-term outcomes also in this young FEAP help-seeking population.