TY  -  JOUR
AU  -  Birindelli, Nadia
AU  -  Montemagni, Cristiana
AU  -  Crivelli, Barbara
AU  -  Bava, Irene
AU  -  Mancini, Irene
AU  -  Rocca, Paola
T1  -  Cognitive functioning and insight in schizophrenia 
and in schizoaffective disorder
PY  -  2014
Y1  -  2014-03-01
DO  -  10.1708/1461.16143
JO  -  Rivista di Psichiatria
JA  -  Riv Psichiatr
VL  -  49
IS  -  2
SP  -  77
EP  -  83
PB  -  Il Pensiero Scientifico Editore
SN  -  2038-2502
Y2  -  2026/04/28
UR  -  http://dx.doi.org/10.1708/1461.16143
N2  -  SUMMARY. Aim. The aim of this study was to investigate cognitive functioning and insight of illness in two groups of patients during their stable phases, one with schizophrenia and one with schizoaffective disorder. Methods. We recruited 104 consecutive outpatients, 64 with schizophrenia, 40 with schizoaffective disorder, in the period between July 2010 and July 2011. They all fulfilled formal Diagnostic and Statistical Manual of Mental disorders (DSM-IV-TR) diagnostic criteria for schizophrenia and schizoaffective disorder. Psychiatric assessment included the Clinical Global Impression Scale-Severity (CGI-S), the Positive and Negative Sindrome Scale (PANSS), the Calgary Depression Scale for Schizophrenia (CDSS) and the Global Assessment of Functioning (GAF). Insight of illness was evaluated using SUMD. Neuropsychological assessment included Winsconsin Card Sorting Test (WCST), California Verbal Learning Test (CVLT), Stroop Test and Trail Making Test (TMT). Differences between the groups were tested using Chi-square test for categorical variables and one-way analysis of variance (ANOVA) for continuous variables. All variables significantly different between the two groups of subjects were subsequently analysed using a logistic regression with a backward stepwise procedure using diagnosis (schizophrenia/schizoaffective disorder) as dependent variable. Results. After backward selection of variables, four variables predicted a schizoaffective disorder diagnosis: marital status, a higher number of admission, better attentive functions and awareness of specific signs or symptoms of disease. The prediction model accounted for 55% of the variance of schizoaffective disorder diagnosis. Discussion. With replication, our findings would allow higher diagnostic accuracy and have an impact on clinical decision making, in light of an amelioration of vocational functioning.
ER  -