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Mentally disordered offenders in Sweden : differentiating recidivists fromnon-recidivists in a 10-year follow-up study

Krona, Hedvig LU ; Nyman, Marielle LU ; Andreasson, Helena LU ; Vicencio, Nicolas ; Anckarsäter, Henrik LU ; Wallinius, Märta LU ; Nilsson, Thomas and Hofvander, Björn LU (2017) In Nordic Journal of Psychiatry 71(2). p.102-109
Abstract

Background: Forensic psychiatric patients present a challenge as they manifest severe mental disorders together with criminal behaviour. There are well-known risk factors for criminal behaviour in the general population, yet knowledge of what predicts reconviction in the Swedish forensic population in the long-term perspective is still insufficient. Aims: The study aims to (1) describe background and clinical characteristics of forensic psychiatric patients in a 10-year follow-up, (2) analyse risk factors associated with recidivism, and (3) test the predictive validity of risk factors for general and violent criminality. Methods: Detailed information on all offenders from the Malmö University Hospital catchment area sentenced to... (More)

Background: Forensic psychiatric patients present a challenge as they manifest severe mental disorders together with criminal behaviour. There are well-known risk factors for criminal behaviour in the general population, yet knowledge of what predicts reconviction in the Swedish forensic population in the long-term perspective is still insufficient. Aims: The study aims to (1) describe background and clinical characteristics of forensic psychiatric patients in a 10-year follow-up, (2) analyse risk factors associated with recidivism, and (3) test the predictive validity of risk factors for general and violent criminality. Methods: Detailed information on all offenders from the Malmö University Hospital catchment area sentenced to forensic psychiatric in-patient treatment from 1999–2005 (n = 125) was collected. Court decisions were collected up until the end of 2008 (median follow-up time = 6.2 years, range = 0.6–9.7 years). Results: Relapse in general crime (n = 30) was predicted by low educational attainment, mental disorder in a first degree relative, and low age at first sentenced crime. Relapse in violent crime (n = 16) was predicted by low educational attainment and low GAF scores. Patients with a restriction order were less likely to relapse in both crime categories. Conclusions: Signs of childhood adversities together with early debut in criminality appeared as important risk factors for general and violent recidivism. Forensic psychiatric treatment combined with a restriction order was demonstrated as a protective factor against recidivism, suggesting that the risk of recidivism is strongly related to the level of supervision. Although the low number of recidivism cases is highly desirable, it unfortunately reduces the power of the analyses in this paper.

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author
; ; ; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Forensic psychiatry, prediction, risk assessment, violent recidivism
in
Nordic Journal of Psychiatry
volume
71
issue
2
pages
8 pages
publisher
Informa Healthcare
external identifiers
  • pmid:27701993
  • wos:000394442500003
  • scopus:84990217672
ISSN
0803-9488
DOI
10.1080/08039488.2016.1236400
language
English
LU publication?
yes
id
95f1bee2-2b6f-4d82-824f-4b9fa5880ada
date added to LUP
2016-10-21 07:36:35
date last changed
2024-03-22 09:47:00
@article{95f1bee2-2b6f-4d82-824f-4b9fa5880ada,
  abstract     = {{<p>Background: Forensic psychiatric patients present a challenge as they manifest severe mental disorders together with criminal behaviour. There are well-known risk factors for criminal behaviour in the general population, yet knowledge of what predicts reconviction in the Swedish forensic population in the long-term perspective is still insufficient. Aims: The study aims to (1) describe background and clinical characteristics of forensic psychiatric patients in a 10-year follow-up, (2) analyse risk factors associated with recidivism, and (3) test the predictive validity of risk factors for general and violent criminality. Methods: Detailed information on all offenders from the Malmö University Hospital catchment area sentenced to forensic psychiatric in-patient treatment from 1999–2005 (n = 125) was collected. Court decisions were collected up until the end of 2008 (median follow-up time = 6.2 years, range = 0.6–9.7 years). Results: Relapse in general crime (n = 30) was predicted by low educational attainment, mental disorder in a first degree relative, and low age at first sentenced crime. Relapse in violent crime (n = 16) was predicted by low educational attainment and low GAF scores. Patients with a restriction order were less likely to relapse in both crime categories. Conclusions: Signs of childhood adversities together with early debut in criminality appeared as important risk factors for general and violent recidivism. Forensic psychiatric treatment combined with a restriction order was demonstrated as a protective factor against recidivism, suggesting that the risk of recidivism is strongly related to the level of supervision. Although the low number of recidivism cases is highly desirable, it unfortunately reduces the power of the analyses in this paper.</p>}},
  author       = {{Krona, Hedvig and Nyman, Marielle and Andreasson, Helena and Vicencio, Nicolas and Anckarsäter, Henrik and Wallinius, Märta and Nilsson, Thomas and Hofvander, Björn}},
  issn         = {{0803-9488}},
  keywords     = {{Forensic psychiatry; prediction; risk assessment; violent recidivism}},
  language     = {{eng}},
  number       = {{2}},
  pages        = {{102--109}},
  publisher    = {{Informa Healthcare}},
  series       = {{Nordic Journal of Psychiatry}},
  title        = {{Mentally disordered offenders in Sweden : differentiating recidivists fromnon-recidivists in a 10-year follow-up study}},
  url          = {{https://lup.lub.lu.se/search/files/21272876/15853322.pdf}},
  doi          = {{10.1080/08039488.2016.1236400}},
  volume       = {{71}},
  year         = {{2017}},
}