AI Article Synopsis

  • - This study investigates how neurocognitive and social cognitive skills relate to the risk of severe violence in individuals with schizophrenia spectrum disorders.
  • - The research involved 398 patients from various European countries, comparing those with a history of violence (forensic patients) to those without (non-forensic patients) using standard assessments.
  • - Findings indicate that education, processing speed, and particularly emotion recognition (especially anger) are key factors distinguishing violent patients, highlighting the need to incorporate these skills into clinical practice for better treatment outcomes.

Article Abstract

Objective: Neurocognitive impairment has been extensively studied in people with schizophrenia spectrum disorders and seems to be one of the major determinants of functional outcome in this clinical population. Data exploring the link between neuropsychological deficits and the risk of violence in schizophrenia has been more inconsistent. In this study, we analyse the differential predictive potential of neurocognition and social cognition to discriminate patients with schizophrenia spectrum disorders with and without a history of severe violence.

Methods: Overall, 398 (221 cases and 177 controls) patients were recruited in forensic and general psychiatric settings across five European countries and assessed using a standardized battery.

Results: Education and processing speed were the strongest discriminators between forensic and non-forensic patients, followed by emotion recognition. In particular, increased accuracy for anger recognition was the most distinctive feature of the forensic group.

Conclusions: These results may have important clinical implications, suggesting potential enhancements of the assessment and treatment of patients with schizophrenia spectrum disorders with a history of violence, who may benefit from consideration of socio-cognitive skills commonly neglected in ordinary clinical practice.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8651972PMC
http://dx.doi.org/10.1038/s41398-021-01749-1DOI Listing

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