期刊论文详细信息
PSYCHIATRY RESEARCH 卷:237
Cognitive predictors of violent incidents in forensic psychiatric inpatients
Article
Brugman, Suzanne1  Lobbestael, Jill1  von Borries, A. Katinka L.2  Bulten, Berend (Erik) H.2  Cima, Maaike3,4  Schuhmann, Teresa5,6  Dambacher, Franziska5,6  Sack, Alexander T.5,6  Arntz, Arnoud7 
[1] Maastricht Univ, Fac Psychol & Neurosci, Dept Clin Psychol Sci, NL-6200 MD Maastricht, Netherlands
[2] Pompeklin Nijmegen, Nijmegen, Netherlands
[3] Forens Psychiat Ctr Rooyse Wissel, Dept Res, Maastricht, Netherlands
[4] Radboud Univ Nijmegen, Dept Dev Psychol, NL-6525 ED Nijmegen, Netherlands
[5] Maastricht Univ, Fac Psychol & Neurosci, Dept Cognit Neurosci, NL-6200 MD Maastricht, Netherlands
[6] Maastricht Brain Imaging Ctr, Maastricht, Netherlands
[7] Univ Amsterdam, Fac Social & Behav Sci, Dept Clin Psychol, NL-1012 WX Amsterdam, Netherlands
关键词: Aggressive behavior;    Cognitive bias;    Forensic patients;    Dynamic factors;    Violent incidents;   
DOI  :  10.1016/j.psychres.2016.01.035
来源: Elsevier
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【 摘 要 】

This study tested the predictive value of attentional bias, emotion recognition, automatic associations, and response inhibition, in the assessment of in-clinic violent incidents. Sixty-nine male forensic patients participated and completed an Emotional Stroop to measure attentional bias for threat and aggression, a Single Target - Implicit Association Task to assess automatic associations, a Graded Emotional Recognition Task to measure emotion recognition, and an Affective Go/NoGo to measure response inhibition. Violent incidents were derived from patient files and scored on severity level. The predictive value of level of psychopathy was tested with the Psychopathy Checklist - Revised (PCL-R). Generalized linear mixed model analyses showed that increased attention towards threat and aggression, difficulty recognizing sad faces and factor 2 of the PCL-R predicted the sum of violent incidents. Specifically, verbal aggression was predicted by increased attention towards threat and aggression, difficulty to recognize sad and happy faces, and PCL-R factor 2; physical aggression by decreased response inhibition, higher PCL-R factor 2 and lower PCL-R factor 1 scores; and aggression against property by difficulty recognizing angry faces. Findings indicate that cognitive tasks could be valuable in predicting aggression, thereby extending current knowledge on dynamic factors predicting aggressive behavior in forensic patients. (C) 2016 Elsevier Ireland Ltd. All rights reserved.

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