ArticleFrontiers in psychology2021
A Latent Class Analysis of Forensic Psychiatric Patients in Relation to Risk and Protective Factors.
Article in Frontiers in psychology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06453096 (The Prevalence of Personality Disorders in Outpatient Forensic Mental Health in the Netherlands), which is not on this map. Cited by 12 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
The Prevalence of Personality Disorders in Outpatient Forensic Mental Health in the Netherlands
Who cites it
12 citing papers in PubMed, 19 citations in OpenAlex.
- Association between neurodevelopmental disorders and recidivism among forensic outpatients under the Medical Treatment and Supervision Act in Japan: A retrospective cohort study.PCN reports : psychiatry and clinical neurosciences · 2026Article
- Life situation and mortality among former forensic psychiatric patients.Frontiers in psychiatry · 2026Article
- Reducing aggressive behavior in forensic inpatients with virtual reality aggression prevention training-intellectual disability: a pilot study.Frontiers in psychology · 2026Article
- Psychiatric Inpatient Length of Stay and Needs: A Cluster Analysis using Machine Learning Algorithms.The Psychiatric quarterly · 2025Article
- Behavioral and psychological correlates of problematic smartphone use in street ketamine users.BMC psychology · 2025Article
- The Role of Dynamic Risk and Protective Factors in Predicting Violent Recidivism: Intellectual Ability as a Possible Moderator?International journal of offender therapy and comparative criminology · 2024Article
- Post-discharge pharmacological treatment discontinuation of forensic psychiatric patients in Sweden.Frontiers in psychiatry · 2024Article
- What happens after forensic psychiatric care? A latent class analysis of dimensions of welfare for former forensic psychiatric patients.BMC psychiatry · 2023Article
- Recidivism among prisoners with severe mental disorders.Heliyon · 2023Article
- Criminal recidivism in offenders with and without intellectual disability sentenced to forensic psychiatric care in Sweden-A 17-year follow-up study.Frontiers in psychiatry · 2022Article
- High Security Settings in Flanders: An Analysis of Discharged and Long-Term Forensic Psychiatric Patients.Frontiers in psychiatry · 2022Article
- The Long-Term Changes in Dynamic Risk and Protective Factors Over Time in a Nationwide Sample of Dutch Forensic Psychiatric Patients.Frontiers in psychiatry · 2021Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Forensic psychiatric patients form a very heterogeneous population regarding psychopathology, criminal history, and risk factors for reoffending. Therefore, the present study aimed to investigate whether there are more homogeneous classes of forensic patients based on DSM-IV-TR Axis I and II diagnoses and previously committed offenses, by means of explorative latent class analysis (LCA). It was also investigated which risk and protective factors are significantly more prevalent in one class compared to other classes. The study sample contained 722 male forensic psychiatric patients who were unconditionally released between 2004 and 2014 from high-security forensic clinics. Data were retrospectively derived from electronic patient files. Five distinctive patient classes emerged: class with only Axis II diagnosis, class with multiple problems, antisocial class, psychotic class, and intellectually disabled class. These classes differed significantly in risk and protective factors. This study contributes to the understanding of patient classes and provides directions for future, class-tailored interventions.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.