Michael W Best1, Michael Grossman1, L Kola Oyewumi2,3, Christopher R Bowie1,2,3. 1. Department of Psychology, Queen's University, Kingston, Ontario, Canada. 2. Department of Psychiatry, Queen's University, Kingston, Ontario, Canada. 3. Centre for Neuroscience Studies, Queen's University, Kingston, Ontario, Canada.
Abstract
AIM: We 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. METHODS: A 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. RESULTS: A 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. CONCLUSION: Negative symptoms are the best symptomatic predictor of functioning in individuals with early psychosis and are an important treatment target to improve recovery.
AIM: We 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. METHODS: A 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. RESULTS: A 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. CONCLUSION: Negative symptoms are the best symptomatic predictor of functioning in individuals with early psychosis and are an important treatment target to improve recovery.
Authors: Lisa Hochstrasser; Stefan Borgwardt; Martin Lambert; Benno G Schimmelmann; Undine E Lang; Rolf-Dieter Stieglitz; Christian G Huber Journal: Eur Arch Psychiatry Clin Neurosci Date: 2017-03-29 Impact factor: 5.270
Authors: Line Widing; Carmen Simonsen; Camilla B Flaaten; Beathe Haatveit; Ruth Kristine Vik; Kristin F Wold; Gina Åsbø; Torill Ueland; Ingrid Melle Journal: Front Psychiatry Date: 2020-11-12 Impact factor: 4.157