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A latent class analysis of mental disorders, substance use, and aggressive antisocial behavior among Swedish forensic psychiatric patients

Green, J. ; Lindqvist Bagge, A. S. ; Laporte, N. LU ; Andiné, P. ; Wallinius, M. LU and Hildebrand Karlén, M. LU (2023) In Comprehensive Psychiatry 127.
Abstract

Background: Patients in the forensic mental health services (FMHS) with a mental disorder, a co-occurring substance use disorder (SUD), and high risk of aggressive antisocial behavior (AAB) are sometimes referred to as the ‘triply troubled’. They suffer poor treatment outcomes, high rates of criminal recidivism, and increased risk of drug related mortality. To improve treatment for this heterogeneous patient group, more insight is needed concerning their co-occurring mental disorders, types of substances used, and the consequent risk of AAB. Methods: A three-step latent class analysis (LCA) was used to identify clinically relevant subgroups in a sample of patients (n = 98) from a high-security FMHS clinic in Sweden based on patterns in... (More)

Background: Patients in the forensic mental health services (FMHS) with a mental disorder, a co-occurring substance use disorder (SUD), and high risk of aggressive antisocial behavior (AAB) are sometimes referred to as the ‘triply troubled’. They suffer poor treatment outcomes, high rates of criminal recidivism, and increased risk of drug related mortality. To improve treatment for this heterogeneous patient group, more insight is needed concerning their co-occurring mental disorders, types of substances used, and the consequent risk of AAB. Methods: A three-step latent class analysis (LCA) was used to identify clinically relevant subgroups in a sample of patients (n = 98) from a high-security FMHS clinic in Sweden based on patterns in their history of mental disorders, SUD, types of substances used, and AAB. Results: A four-class model best fit our data: class 1 (42%) had a high probability of SUD, psychosis, and having used all substances; class 2 (26%) had a high probability of psychosis and cannabis use; class 3 (22%) had a high probability of autism and no substance use; and class 4 (10%) had a high probability of personality disorders and having used all substances. Both polysubstance classes (1 and 4) had a significantly more extensive history of AAB compared to classes 2 and 3. Class 3 and class 4 had extensive histories of self-directed aggression. Conclusions: The present study helps disentangle the heterogeneity of the ‘triply troubled’ patient group in FMHS. The results provide an illustration of a more person-oriented perspective on patient comorbidity and types of substances used which could benefit clinical assessment, treatment planning, and risk-management among patients in forensic psychiatric care.

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author
; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Aggressive antisocial behavior, Co-occurring disorders, Latent class analysis, Mental disorders, Substance use disorder
in
Comprehensive Psychiatry
volume
127
article number
152428
publisher
Elsevier
external identifiers
  • pmid:37778180
  • scopus:85172268013
ISSN
0010-440X
DOI
10.1016/j.comppsych.2023.152428
language
English
LU publication?
yes
additional info
Publisher Copyright: © 2023
id
97cf7745-89be-4e7e-8ac5-916204e10134
date added to LUP
2023-12-07 15:54:47
date last changed
2024-04-20 10:09:45
@article{97cf7745-89be-4e7e-8ac5-916204e10134,
  abstract     = {{<p>Background: Patients in the forensic mental health services (FMHS) with a mental disorder, a co-occurring substance use disorder (SUD), and high risk of aggressive antisocial behavior (AAB) are sometimes referred to as the ‘triply troubled’. They suffer poor treatment outcomes, high rates of criminal recidivism, and increased risk of drug related mortality. To improve treatment for this heterogeneous patient group, more insight is needed concerning their co-occurring mental disorders, types of substances used, and the consequent risk of AAB. Methods: A three-step latent class analysis (LCA) was used to identify clinically relevant subgroups in a sample of patients (n = 98) from a high-security FMHS clinic in Sweden based on patterns in their history of mental disorders, SUD, types of substances used, and AAB. Results: A four-class model best fit our data: class 1 (42%) had a high probability of SUD, psychosis, and having used all substances; class 2 (26%) had a high probability of psychosis and cannabis use; class 3 (22%) had a high probability of autism and no substance use; and class 4 (10%) had a high probability of personality disorders and having used all substances. Both polysubstance classes (1 and 4) had a significantly more extensive history of AAB compared to classes 2 and 3. Class 3 and class 4 had extensive histories of self-directed aggression. Conclusions: The present study helps disentangle the heterogeneity of the ‘triply troubled’ patient group in FMHS. The results provide an illustration of a more person-oriented perspective on patient comorbidity and types of substances used which could benefit clinical assessment, treatment planning, and risk-management among patients in forensic psychiatric care.</p>}},
  author       = {{Green, J. and Lindqvist Bagge, A. S. and Laporte, N. and Andiné, P. and Wallinius, M. and Hildebrand Karlén, M.}},
  issn         = {{0010-440X}},
  keywords     = {{Aggressive antisocial behavior; Co-occurring disorders; Latent class analysis; Mental disorders; Substance use disorder}},
  language     = {{eng}},
  publisher    = {{Elsevier}},
  series       = {{Comprehensive Psychiatry}},
  title        = {{A latent class analysis of mental disorders, substance use, and aggressive antisocial behavior among Swedish forensic psychiatric patients}},
  url          = {{http://dx.doi.org/10.1016/j.comppsych.2023.152428}},
  doi          = {{10.1016/j.comppsych.2023.152428}},
  volume       = {{127}},
  year         = {{2023}},
}