Social cognition in people with schizophrenia: a cluster-analytic approach

The study aimed to subtype patients with schizophrenia on the basis of social cognition (SC), and to identify cut-offs that best discriminate among subtypes in 809 out-patients recruited in the context of the Italian Network for Research on Psychoses. A two-step cluster analysis of The Awareness of...

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Bibliographic Details
Published in:Psychological medicine 2016-10, Vol.46 (13), p.2717-2729
Main Authors: Rocca, P., Galderisi, S., Rossi, A., Bertolino, A., Rucci, P., Gibertoni, D., Montemagni, C., Sigaudo, M., Mucci, A., Bucci, P., Acciavatti, T., Aguglia, E., Amore, M., Bellomo, A., De Ronchi, D., Dell'Osso, L., Di Fabio, F., Girardi, P., Goracci, A., Marchesi, C., Monteleone, P., Niolu, C., Pinna, F., Roncone, R., Sacchetti, E., Santonastaso, P., Zeppegno, P., Maj, M.
Format: Article
Language:English
Subjects:
Adult
Classification
Clinical medicine
Cluster Analysis
Cognition
Emotional behavior
Emotional intelligence
Emotional Intelligence - physiology
Emotions
Facial Expression
Facial Recognition - physiology
Female
Humans
Identification
Intelligence
Male
Mental disorders
Middle Aged
Negative symptoms
Original Articles
Psychosis
Rehabilitation
Sarcasm
Schizophrenia
Schizophrenia - physiopathology
Social inference
Social interactions
Social Perception
Studies
Subtypes
Test scores
Wit and Humor as Topic
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Summary:The study aimed to subtype patients with schizophrenia on the basis of social cognition (SC), and to identify cut-offs that best discriminate among subtypes in 809 out-patients recruited in the context of the Italian Network for Research on Psychoses. A two-step cluster analysis of The Awareness of Social Inference Test (TASIT), the Facial Emotion Identification Test and Mayer-Salovey-Caruso Emotional Intelligence Test scores was performed. Classification and regression tree analysis was used to identify the cut-offs of variables that best discriminated among clusters. We identified three clusters, characterized by unimpaired (42%), impaired (50.4%) and very impaired (7.5%) SC. Three theory-of-mind domains were more important for the cluster definition as compared with emotion perception and emotional intelligence. Patients more able to understand simple sarcasm (⩾14 for TASIT-SS) were very likely to belong to the unimpaired SC cluster. Compared with patients in the impaired SC cluster, those in the very impaired SC cluster performed significantly worse in lie scenes (TASIT-LI
ISSN:0033-2917
1469-8978
DOI:10.1017/S0033291716001100