Predominance of symptoms over time in early-onset psychosis: a principal component factor analysis of the Positive and Negative Syndrome Scale

J Clin Psychiatry. 2010 Mar;71(3):327-37. doi: 10.4088/JCP.08m04845yel.

Abstract

Background: Early-onset psychosis is a symptomatically nonspecific and heterogeneous entity composed of several diagnoses. This study examined the dimensional structure of symptoms and the temporal stability of this structure during a 6-month follow-up.

Method: A principal component factor analysis of the Positive and Negative Syndrome Scale was conducted at baseline, 4 weeks, and 6 months in a sample of 99 first-episode psychotic patients (mean age = 15.5 years).

Results: The factor analysis produced a 5-dimension solution (Positive, Negative, Depression, Cognitive, Hostility) that explained 62.4% of the variance at baseline, 63.4% at 4 weeks, and 65.1% at 6 months. Negative dimension was the most consistent and stable over time and was predominant at baseline (23.9%) and at 4 weeks (25.7%). Depression was predominant at 6 months (31.1%).

Conclusions: There is a stable 5-dimension structure of symptoms in early-onset psychosis with varying predominance of symptoms over time. Negative symptoms are a core feature of psychosis and are thus important diagnostic criteria.

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Age of Onset
  • Child
  • Diagnostic and Statistical Manual of Mental Disorders
  • Factor Analysis, Statistical
  • Female
  • Humans
  • Male
  • Models, Psychological
  • Principal Component Analysis
  • Psychiatric Status Rating Scales / statistics & numerical data*
  • Psychometrics
  • Psychotic Disorders / diagnosis*
  • Psychotic Disorders / psychology
  • Schizophrenia / diagnosis
  • Schizophrenic Psychology
  • Syndrome
  • Time Factors