Journal
EARLY INTERVENTION IN PSYCHIATRY
Volume 10, Issue 2, Pages 165-170Publisher
WILEY
DOI: 10.1111/eip.12190
Keywords
early psychosis intervention; factor analysis; psychotic disorder; schizophrenia; symptom
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AimWe examined the factor structure of the Positive and Negative Syndrome Scale (PANSS) in early-episode psychosis and its relationships with functioning at baseline and follow-up. MethodsA total of 240 consecutive admissions to an early intervention in psychosis clinic were assessed at intake to the program with the PANSS, Global Assessment of Functioning (GAF) and Social and Occupational Functioning Assessment Scale (SOFAS). Seventy individuals were reassessed at follow-up. A maximum likelihood factor analysis was conducted on baseline PANSS scores and the ability of each factor to predict baseline and follow-up GAF and SOFAS was examined. ResultsA five-factor model with varimax rotation was the best fit to our data and was largely congruent with factors found previously. The negative symptom factor was the best predictor of GAF and SOFAS at baseline and follow-up. ConclusionNegative symptoms are the best symptomatic predictor of functioning in individuals with early psychosis and are an important treatment target to improve recovery.
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