Negative psychotic symptoms and impaired role functioning in the at-risk mental state: a latent class cluster analysis study

 
00:00
Presentation First Author: 
Lucia Valmaggia
Abstract: 

Background. Individual symptom scores at baseline do not predict the course and outcome of the at risk mental state.Method. Latent class cluster analysis was applied to investigate data from 318 individuals with an at risk mental state for psychosis. The score on the Comprehensive Assessment of At-Risk Mental States (CAARMS) wasused to explore the number, size and symptom profiles of latent classes.Results. Latent class cluster analysis resulted in the following four classes: class 1 (mild) had the lowest scores on all the CAARMS items, they were younger, more likely to be students and had the highest Global Assessment of Functioning (GAF) score, 4.9% made transition to psychosis. Class 2 (moderate) scored moderately on all CAARMS items and were more likely to be in employment, 10.9% made a transition. Individuals in Class 3 (moderate–severe) scored moderately severe on the CAARMS and had a transition risk of 11.4%. Class 4 (severe) scored highest on the CAARMS, had the lowest GAF score, were more likely to be unemployed and had the highest transition risk (41.2%) Alogia, avolition/apathy, anhedonia, social isolation and impaired role functioning were the best items to distinguish between class 4 and the other classesConclusions. Negative symptoms and impaired social functioning at baseline are important for the outcome in the at risk mental state for psychosis.

Conference Name: 
Presentation Date: 
January, 2015
Additional Authors: 
Daniel Stahl - Yung Alison - Barnaby Nelson - Paolo Fusar-Poli - Pat McGorry - Phillip McGuire
See other presentations in this session: