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High-risk mentally disordered offenders present a diverse array of clinical characteristics. To contain and effectively treat this heterogeneous population requires a full understanding of the group's clinical profile. This study aimed to identify and validate clusters of clinically coherent profiles within one high-risk mentally disordered population in the UK.Latent class analysis (a statistical technique to identify clustering of variance from a set of categorical variables) was applied to 174 cases using clinical diagnostic information to identify the most parsimonious model of best fit. Validity analyses were performed.Three identified classes were a 'delinquent' group (n = 119) characterised by poor educational history, strong criminal careers and high recidivism risk; a 'primary psychopathy' group (n = 38) characterised by good educational profiles and homicide offences and an 'expressive psychopathy' group (n = 17) presenting the lowest risk and characterised by more special educational needs and sexual offences.Individuals classed as high-risk mentally disordered offenders can be loosely segregated into three discrete subtypes: 'delinquent', 'psychopathic' or 'expressive psychopathic', respectively. These groups represent different levels of risk to society and reflect differing treatment needs.

Original publication

DOI

10.1007/s00127-013-0696-9

Type

Journal article

Journal

Social psychiatry and psychiatric epidemiology

Publication Date

07/2013

Volume

48

Pages

1169 - 1176

Addresses

Institute of Psychiatry, King's College London, PO63 De Crespigny Park, London, SE5 8AF, UK. jenny.yiend@kcl.ac.uk

Keywords

IDEA group, Humans, Recurrence, Cluster Analysis, Risk Assessment, Social Behavior, Mental Disorders, Forensic Psychiatry, Violence, Adult, Middle Aged, Prisoners, Male, Criminals, United Kingdom