Violence and mental disorders: a structured review of associations by individual diagnoses, risk factors, and risk assessment

Experiences of verbal violence among people with intellectual disabilities in Israel

BACKGROUND

This study examines the extent of exposure to verbal violence experienced by people with intellectual disabilities and whether it differs based on their housing situation: living in the community, with family, or in a residential facility.

METHOD

One hundred and eighty-nine people with intellectual disabilities were interviewed about their experience with verbal violence.

RESULTS

Eighty-six percent reported experiencing verbal violence in their lifetime and approximately 77% experienced it the past week. Participants were most likely to be yelled at, and friends were the most common perpetrators. While there were few differences by setting, people living with their families were more likely to be laughed at and marginally more likely to experience rude comments.

CONCLUSIONS

Verbal violence is prevalent in the lives of people with intellectual disabilities in Israel. Interventions are necessary to assist people with intellectual disabilities to deal with such incidents, with possible additional supports needed for those living with family.

Predictors of psychosocial functioning in people diagnosed with schizophrenia spectrum disorders that committed violent offences and in those that did not: Results of the Recoviwel study

Psychosocial functioning represents a core treatment target of Schizophrenia Spectrum Disorders (SSD), and several clinical and cognitive factors contribute to its impairment. However, determinants of psychosocial functioning in people living with SSD that committed violent offences remain to be more thoroughly explored. This study aims to separately assess and compare predictors of psychosocial functioning in people with SSD that did and that did not commit violent offences considering several clinical, cognitive and violence-related parameters. Fifty inmates convicted for violent crimes in a forensic psychiatry setting diagnosed with SSD (OP group) and fifty participants matched for age, gender, education, and diagnosis (Non-OP group) were included in the study. A higher risk of violent relapse as measured by HCR-20 clinical subscale scores (p < 0.002) and greater global clinical severity as measured by CGI-S scores (p = 0.023) emerged as individual predictors of worse psychosocial functioning, as measured by PSP scores, in the OP group. Greater global clinical severity (p < 0.001), worse performance in the processing speed domain as measured by the BACS Symbol Coding (p = 0.002) and TMT-A tests (p = 0.016) and higher levels of non-planning impulsivity as measured by BIS-11 scores (p < 0.001) emerged as individual predictors of worse psychosocial functioning in the Non-OP group. These results confirm that clinical severity impacts psychosocial functioning in all individuals diagnosed with SSD and suggest that while cognitive impairment clearly represents a determinant of worse functional outcomes in most patients, the risk of violent relapse is a specific predictor of worse psychosocial functioning in people with SSD that committed criminal offences.

The TCO concept in German forensic homicide offenders with schizophrenia spectrum disorders - new findings from a file-based, retrospective cross-sectional study

Introduction

There is evidence that there is a small group of people with schizophrenia spectrum disorders who are more likely to commit homicide than those in the general population. However, there is limited knowledge about the psychopathology that leads to homicide in this group. The aim of this study was to examine two commonly used definitions of the Threat/Control-Override (TCO) concept, which aims to identify a certain risk of serious violence in patients with schizophrenia spectrum disorders.

Methods

This is a sub analysis of a file-based, retrospective and exploratory cross-sectional study. All forensic homicide offenders with schizophrenia spectrum disorders who were detained at the Forensic Hospital Berlin as of 31 December 2014 were examined for the occurrence of TCO according to two commonly used definitions.

Results

Of a total of 419 forensic patients with schizophrenia spectrum disorders, 78 committed homicide (18.6%). The forensic homicide offenders with schizophrenia spectrum disorders were characterised by being male, unemployed, single and having committed (attempted) manslaughter. Irrespective of the definition used, the entire TCO complex was present in less than a third of the sample. In both definitions, Threat symptoms were slightly less frequent than Control-Override symptoms. While Threat symptoms occurred less frequently in Stompe et al.'s definition, Control-Override symptoms were the most common. With regard to Kröber's definition of Threat and Control-Override, the situation is exactly the opposite.

Discussion

Regarding the entire TCO complex, Kröber's definition seems a little more open and Stompe et al.'s more strict (38.5% vs. 35.9%). Since TCO only occurs in about one third of the subjects in both definitions, neither definition appears to be conclusive. A combination with proportions from both definitions could be a contribution to a future definition of TCO. The present study provides scarcely published primary data on psychopathology in homicide offenders with schizophrenia spectrum disorders, especially on the much discussed TCO concept in two definitions. In order to determine the most useful definition of TCO, to avoid false positives and to identify clear psychopathological risk symptoms, larger samples and comparative studies with offenders and non-offenders should be conducted in the future.

Homelessness, psychiatric disorders, and violence in Denmark: a population-based cohort study

BACKGROUND

Homelessness is associated with adverse health and social outcomes. People experiencing homelessness have been found to have a high risk of violent crime victimisation as well as high prevalence of psychiatric disorders. It is poorly understood whether experiencing homelessness is associated with additional risks of violent offending and whether psychiatric disorders contribute to these risks. We examined the association between homelessness, psychiatric disorders, and first violence offence leading to conviction.

METHODS

We did a nationwide, register-based cohort study of all Danish residents who were alive at least 1 day during the study period, born between Jan 1, 1980, and Dec 31, 2006, and aged 15 years or older retrieved from the Danish Civil Registration System, which was linked to registers with information on homelessness, health care, and criminality. The exposure was any experience of homelessness, which was defined as having at least one contact with a homeless shelter during the study period. The outcome was first violent offence leading to a conviction. We calculated incidence rates per 10 000 person-years, incidence rate ratios (IRRs) using Poisson regression analysis, and probability of conviction of a violent offence using an Aalen-Johansen estimator. Analyses were stratified by sex and adjusted for calendar year of the study period, age, other sociodemographic factors, and psychiatric disorders.

FINDINGS

The study cohort included 1 786 433 Danish residents aged 15-42 years living in Denmark at some point from Jan 1, 2001, to Dec 31, 2021, contributing to 21 336 322 person-years at risk, of whom 57 084 (3·2%) individuals had their first violent offence leading to conviction during follow-up. 10 years after their first contact with a homeless shelter, 22·9% (95% CI 21·6-24·2) of men and 7·7% (6·8-8·7) of women had committed at least one violent crime leading to conviction. The fully adjusted IRRs of a violent offence leading to conviction were 4·8 (4·5-5·1) in men and 6·3 (5·6-7·2) in women experiencing homelessness compared with individuals who had not experienced homelessness. The IRR for a violent offence leading to conviction was highest in individuals experiencing homelessness and having co-occurring psychiatric disorders compared with those not experiencing homelessness and without co-occurring psychiatric disorders, especially drug use disorders (IRR in those experiencing homelessness and having a drug use disorder: 15·3 [14·1-16·7] in men and 40·1 [33·9-47·5] in women compared with individuals not experiencing homelessness and having no drug use disorder).

INTERPRETATION

Individuals experiencing homelessness had higher risks of a violent offence leading to conviction than those who had not experienced homelessness. In addition to preventing homelessness, public health and policy should consider how to reduce the risk of adverse outcomes in people experiencing homelessness.

FUNDING

Lundbeck Foundation.

Delusions and Delinquencies: A Comparison of Violent and Non-Violent Offenders With Schizophrenia Spectrum Disorders

The relationship between schizophrenia spectrum disorders (SSD) and violent offending has long been the subject of research. The present study attempts to identify the content of delusions, an understudied factor in this regard, that differentiates between violent and non-violent offenses. Limitations, clinical relevance, and future directions are discussed. Employing a retrospective study design, machine learning algorithms and a comprehensive set of variables were applied to a sample of 366 offenders with a schizophrenia spectrum disorder in a Swiss forensic psychiatry department. Taking into account the different contents and affects associated with delusions, eight variables were identified as having an impact on discriminating between violent and non-violent offenses with an AUC of 0.68, a sensitivity of 30.8%, and a specificity of 91.9%, suggesting that the variables found are useful for discriminating between violent and non-violent offenses. Delusions of grandiosity, delusional police and/or army pursuit, delusional perceived physical and/or mental injury, and delusions of control or passivity were more predictive of non-violent offenses, while delusions with aggressive content or delusions associated with the emotions of anger, distress, or agitation were more frequently associated with violent offenses. Our findings extend and confirm current research on the content of delusions in patients with SSD. In particular, we found that the symptoms of threat/control override (TCO) do not directly lead to violent behavior but are mediated by other variables such as anger. Notably, delusions traditionally seen as symptoms of TCO, appear to have a protective value against violent behavior. These findings will hopefully help to reduce the stigma commonly and erroneously associated with mental illness, while supporting the development of effective therapeutic approaches.

Risk assessment for aggressive behaviour in schizophrenia

BACKGROUND

Aggressive or violent behaviour is often associated with people with schizophrenia in common perceptions of the disease. Risk assessment methods have been used to identify and evaluate the behaviour of those individuals who are at the greatest risk of perpetrating aggression or violence or characterise the likelihood to commit acts. Although many different interventions have been developed to decrease aggressive or violent incidences in inpatient care, staff working in inpatient settings seek easy-to-use methods to decrease patient aggressive events. However, many of these are time-consuming, and they require intensive training for staff and patient monitoring. It has also been recognised in clinical practice that if staff monitor patients' behaviour in a structured manner, the monitoring itself may result in a reduction of aggressive/violent behaviour and incidents in psychiatric settings.

OBJECTIVES

To assess the effects of structured aggression or violence risk assessment methods for people with schizophrenia or schizophrenia-like illnesses.

SEARCH METHODS

We searched the Cochrane Schizophrenia Group's Study-Based Register of Trials, which is based on CENTRAL, MEDLINE, Embase, CINAHL, PsycINFO, PubMed, ISRCTN registry, ClinicalTrials.gov, and WHO ICTRP, on 10 February 2021. We also inspected references of all identified studies.

SELECTION CRITERIA

We included all randomised controlled trials (RCTs) comparing structured risk assessment methods added to standard professional care with standard professional care for the evaluation of aggressive or violent behaviour among people with schizophrenia.

DATA COLLECTION AND ANALYSIS

At least two review authors independently inspected citations, selected studies, extracted data, and appraised study quality. For binary outcomes, we calculated a standard estimation of the risk ratio (RR) and its 95% confidence interval (CI). For continuous outcomes, we calculated the mean difference (MD) and its 95% CI. We assessed risk of bias in the included studies and created a summary of findings table using the GRADE approach.

MAIN RESULTS

We included four studies in the review. The total number of participants was not identifiable, as some studies provided number of participants included, and some only patient days. The studies compared a package of structured assessment methods with a control group that included routine nursing care and drug therapy or unstructured psychiatric observations/treatment based on clinical judgement. In two studies, information about treatment in control care was not available. One study reported results for our primary outcome, clinically important change in aggressive/violent behaviour, measured by the rate of severe aggression events. There was likely a positive effect favouring structured risk assessment over standard professional care (RR 0.59, 95% CI 0.41 to 0.85; 1 RCT; 1852 participants; corrected for cluster design: RR 0.59, 95% CI 0.37 to 0.93; moderate-certainty evidence). One trial reported data for the use of coercive measures (seclusion room). Compared to standard professional care, structured risk assessment may have little or no effect on use of seclusion room as days (corrected for cluster design: RR 0.92, 95% CI 0.27 to 3.07; N = 20; low-certainty evidence) or use of seclusion room as secluded participants (RR 1.83, 95% CI 0.39 to 8.7; 1 RCT; N = 20; low-certainty evidence). However, seclusion room may be used less frequently in the standard professional care group compared to the structured risk assessment group (incidence) (corrected for cluster design: RR 1.63, 95% CI 0.49 to 5.47; 1 RCT; N = 20; substantial heterogeneity, Chi2 = 0.0; df = 0.0; P = 0.0; I2 = 100%; low-certainty evidence). There was no evidence of a clear effect on adverse events of escape (RR 0.2, 95% CI 0.01 to 4.11; 1 RCT; n = 200; very low-certainty evidence); fall down (RR 0.33, 95% CI 0.04 to 3.15; 1 RCT; n = 200; very low-certainty evidence); or choking (RR 0.2, 95% CI 0.01 to 4.11; 1 RCT; n = 200; very low-certainty evidence) when comparing structured risk assessment to standard professional care. There were no useable data for patient-related outcomes such as global state, acceptance of treatment, satisfaction with treatment, quality of life, service use, or costs.

AUTHORS' CONCLUSIONS

Based on the available evidence, it is not possible to conclude that structured aggression or violence risk assessment methods are effective for people with schizophrenia or schizophrenia-like illnesses. Future work should combine the use of interventions and structured risk assessment methods to prevent aggressive incidents in psychiatric inpatient settings.

The violence profile of male mentally disordered offenders in a high secure unit in Turkiye

Our knowledge of the severity and reoffending is limited for mentally disordered offenders, and studies generally evaluate without separation between different diagnostic groups. It was aimed to determine the general profile of mentally disordered offenders who are inpatients in a high secure psychiatry unit from Turkiye and to evaluate the factors associated with violence profiles among different diagnostic groups. According to the results the schizophrenia patients committed the most severe crimes, and intellectual disability patients had some different features from schizophrenia and bipolar disorder patients. History of substance misuse in the intellectual disability group (p = 0,045) and comorbid antisocial personality disorder in the bipolar disorder group (p = 0,015) were associated with increased crime severity. Substance misuse history, history of substance use during the crime, and the existence of comorbid antisocial personality disorder were associated with increased offenses in each of the three diagnosis groups. Living alone (p = 0,004) and having a suicide history (p= 0,052) were associated with the high number of offenses in the schizophrenia group. This study is the first study that compares three diagnostic groups to involve a large patient group. We believe that clinicians must evaluate these parameters for the violence risk assessment of patients.

Exploring Characteristics of Homicide Offenders With Schizophrenia Spectrum Disorders Via Machine Learning

The link between schizophrenia and homicide has long been the subject of research with significant impact on mental health policy, clinical practice, and public perception of people with psychiatric disorders. The present study investigates factors contributing to completed homicides committed by offenders diagnosed with schizophrenia referred to a Swiss forensic institution, using machine learning algorithms. Data were collected from 370 inpatients at the Centre for Inpatient Forensic Therapy at the Zurich University Hospital of Psychiatry. A total of 519 variables were explored to differentiate homicidal and other (violent and non-violent) offenders. The dataset was split employing variable filtering, model building, and selection embedded in a nested resampling approach. Ten factors regarding criminal and psychiatric history and clinical factors were identified to be influential in differentiating between homicidal and other offenders. Findings expand the research on influential factors for completed homicide in patients with schizophrenia. Limitations, clinical relevance, and future directions are discussed.

Preferences on Governance Models for Mental Health Data: Qualitative Study With Young People

BACKGROUND

Improving access to mental health data to accelerate research and improve mental health outcomes is a potentially achievable goal given the substantial data that can now be collected from mobile devices. Smartphones can provide a useful mechanism for collecting mental health data from young people, especially as their use is relatively ubiquitous in high-resource settings such as the United Kingdom and they have a high capacity to collect active and passive data. This raises the interesting opportunity to establish a large bank of mental health data from young people that could be accessed by researchers worldwide, but it is important to clarify how to ensure that this is done in an appropriate manner aligned with the values of young people.

OBJECTIVE

In this study, we discussed the preferences of young people in the United Kingdom regarding the governance, sharing, and use of their mental health data with the establishment of a global data bank in mind. We aimed to determine whether young people want and feel safe to share their mental health data; if so, with whom; and their preferences in doing so.

METHODS

Young people (N=46) were provided with 2 modules of educational material about data governance models and background in scientific research. We then conducted 2-hour web-based group sessions using a deliberative democracy methodology to reach a consensus where possible. Findings were analyzed using the framework method.

RESULTS

Young people were generally enthusiastic about contributing data to mental health research. They believed that broader availability of mental health data could be used to discover what improves or worsens mental health and develop new services to support young people. However, this enthusiasm came with many concerns and caveats, including distributed control of access to ensure appropriate use, distributed power, and data management that included diverse representation and sufficient ethical training for applicants and data managers.

CONCLUSIONS

Although it is feasible to use smartphones to collect mental health data from young people in the United Kingdom, it is essential to carefully consider the parameters of such a data bank. Addressing and embedding young people's preferences, including the need for robust procedures regarding how their data are managed, stored, and accessed, will set a solid foundation for establishing any global data bank.

Resting-state EEG dynamic functional connectivity distinguishes non-psychotic major depression, psychotic major depression and schizophrenia

This study aims to identify dynamic patterns within the spatiotemporal feature space that are specific to nonpsychotic major depression (NPMD), psychotic major depression (PMD), and schizophrenia (SCZ). The study also evaluates the effectiveness of machine learning algorithms based on these network manifestations in differentiating individuals with NPMD, PMD, and SCZ. A total of 579 participants were recruited, including 152 patients with NPMD, 45 patients with PMD, 185 patients with SCZ, and 197 healthy controls (HCs). A dynamic functional connectivity (DFC) approach was employed to estimate the principal FC states within each diagnostic group. Incremental proportions of data (ranging from 10% to 100%) within each diagnostic group were used for variability testing. DFC metrics, such as proportion, mean duration, and transition number, were examined among the four diagnostic groups to identify disease-related neural activity patterns. These patterns were then used to train a two-layer classifier for the four groups (HC, NPMD, PMD, and SCZ). The four principal brain states (i.e., states 1,2,3, and 4) identified by the DFC approach were highly representative within and across diagnostic groups. Between-group comparisons revealed significant differences in network metrics of state 2 and state 3, within delta, theta, and gamma frequency bands, between healthy individuals and patients in each diagnostic group (p < 0.01, FDR corrected). Moreover, the identified key dynamic network metrics achieved an accuracy of 73.1 ± 2.8% in the four-way classification of HC, NPMD, PMD, and SCZ, outperforming the static functional connectivity (SFC) approach (p < 0.001). These findings suggest that the proposed DFC approach can identify dynamic network biomarkers at the single-subject level. These biomarkers have the potential to accurately differentiate individual subjects among various diagnostic groups of psychiatric disorders or healthy controls. This work may contribute to the development of a valuable EEG-based diagnostic tool with enhanced accuracy and assistive capabilities.

The Influence of Routine Health care on Reoffending in a Sample of Gun Involved Youths

In the wake of heightened concerns about gun violence and its impacts on youth, "what works" in gun violence prevention remains a critical public health concern. Gun violence prevention in the U.S. is increasingly interdisciplinary, involving both the criminal legal system and the health care system in developing an evidence base for promising programs and policies. The current study contributes to the literature by examining recidivism outcomes (i.e., rearrest) for a cohort of n = 409 Indianapolis youth involved in gun violence who were court-ordered to complete a health education-based prevention program called Project Life. The youth in our sample were predominantly from marginalized communities, all had been charged with a gun-involved or violence offense, 96% were detained by the juvenile justice system for some time, and 64% received at least one routine well check within five years prior to Project Life. Survival analyses of merged juvenile court records and health records show that routine health care (i.e., well visits) and completing the Project Life program were protective against recidivism, whereas time spent in detention increased risk. The findings provide evidence for the value of interdisciplinary approaches that include the health system in disrupting cycles of gun violence, while reducing the carceral footprint on youth.

Machine Learning for prediction of violent behaviors in schizophrenia spectrum disorders: a systematic review

Background

Schizophrenia spectrum disorders (SSD) can be associated with an increased risk of violent behavior (VB), which can harm patients, others, and properties. Prediction of VB could help reduce the SSD burden on patients and healthcare systems. Some recent studies have used machine learning (ML) algorithms to identify SSD patients at risk of VB. In this article, we aimed to review studies that used ML to predict VB in SSD patients and discuss the most successful ML methods and predictors of VB.

Methods

We performed a systematic search in PubMed, Web of Sciences, Embase, and PsycINFO on September 30, 2023, to identify studies on the application of ML in predicting VB in SSD patients.

Results

We included 18 studies with data from 11,733 patients diagnosed with SSD. Different ML models demonstrated mixed performance with an area under the receiver operating characteristic curve of 0.56-0.95 and an accuracy of 50.27-90.67% in predicting violence among SSD patients. Our comparative analysis demonstrated a superior performance for the gradient boosting model, compared to other ML models in predicting VB among SSD patients. Various sociodemographic, clinical, metabolic, and neuroimaging features were associated with VB, with age and olanzapine equivalent dose at the time of discharge being the most frequently identified factors.

Conclusion

ML models demonstrated varied VB prediction performance in SSD patients, with gradient boosting outperforming. Further research is warranted for clinical applications of ML methods in this field.

Intervening factors between risk of violence and aggressive behaviours among forensic inpatients: a scoping review

BACKGROUND

Risk of violence is closely associated with aggression propensity. However, there is a lack of research to explain the mechanisms behind this association, especially among the patients of forensic secure facilities. This review aimed to identify and synthesize the available literature concerning the intervening factors (mediating or moderating factors) in the relationship between the risk of violence and aggressive behavior in forensic secure facilities.

METHODS

Two electronic academic databases were searched: Scopus and Web of Science (WoS) using specific keywords as search terms derived from the PCC framework with no specific time limit. The search strategy was developed based on the JBI Manual for Evidence Synthesis and utilised the PRISMA-ScR guidelines. Data on the risk of violence, intervening factors, and aggressive behavior were extracted from the included studies. Further analysis was performed whereby similar data were grouped and synthesised together.

RESULTS

The initial search produced 342 studies. However, only nine studies fulfilled the inclusion criteria. The nine studies included 1,068 adult forensic inpatients from various psychiatric hospitals. Only mediation studies reported significant mechanisms of influence between the risk of violence and aggressive behavior. It is postulated that the human agency factor may be the underlying factor that influences a person's functioning and the subsequent series of events between the risk of violence and aggression.

CONCLUSIONS

In light of the paucity of evidence in this area, a generalised conclusion cannot be established. More studies are warranted to address the gaps before conclusive recommendations can be proposed to the relevant stakeholders.

The High Rates of Comorbidity among Neurodevelopmental Disorders: Reconsidering the Clinical Utility of Distinct Diagnostic Categories

The boundaries between neurodevelopmental disorders are often indistinct, even among specialists. But do these boundaries exist, or do experts struggle to distinguish and categorize symptoms in order to arrive at a dominant diagnosis while comorbidity continually leaves questions about where each disorder ends and begins? What should be reconsidered? The introduction of the term 'spectrum of neurodevelopmental disorders' could pave the way for a re-appraisal of the clinical continuum of neurodevelopmental disorders. This study aims to highlight the problems that emerge in the field of the differential diagnosis of neurodevelopmental disorders and propose a renegotiation of the distinctiveness criteria.

When do drugs trigger criminal behavior? a machine learning analysis of offenders and non-offenders with schizophrenia and comorbid substance use disorder

Introduction

Comorbid substance use disorder (SUD) is linked to a higher risk of violence in patients with schizophrenia spectrum disorder (SSD). The objective of this study is to explore the most distinguishing factors between offending and non-offending patients diagnosed with SSD and comorbid SUD using supervised machine learning.

Methods

A total of 269 offender patients and 184 non-offender patients, all diagnosed with SSD and SUD, were assessed using supervised machine learning algorithms.

Results

Failures during opening, referring to rule violations during a permitted temporary leave from an inpatient ward or during the opening of an otherwise closed ward, was found to be the most influential distinguishing factor, closely followed by non-compliance with medication (in the psychiatric history). Following in succession were social isolation in the past, no antipsychotics prescribed (in the psychiatric history), and no outpatient psychiatric treatments before the current hospitalization.

Discussion

This research identifies critical factors distinguishing offending patients from non-offending patients with SSD and SUD. Among various risk factors considered in prior research, this study emphasizes treatment-related differences between the groups, indicating the potential for improvement regarding access and maintenance of treatment in this particular population. Further research is warranted to explore the relationship between social isolation and delinquency in this patient population.

Elusive cases in forensic psychiatry? Exploring subgroups of schizophrenia spectrum disorder patients in Germany

BACKGROUND

The relationship between schizophrenia spectrum disorders (SSD) and criminal behaviour is a central issue in forensic psychiatry. People with mental illness face some of the same types of criminogenic factors as people without mental illness, albeit more frequently. The research question of this study is the extent to which a framework of early and late offender typology can be empirically reconstructed in a forensic psychiatric population, and whether there are any practical implications.

METHOD

For N = 733 patients in six different forensic hospitals in Germany, the age at first psychiatric admission and the age at first registered offence were documented, as well as a number of other patient-related characteristics. Two clustering procedures were used to investigate whether forensic psychiatric patients could be classified according to these characteristics.

RESULTS

A k-means cluster analysis using age at first psychiatric admission, age at first recorded offence, sociodemographic, clinical and criminological characteristics supported a 4-cluster solution. MANOVA analyses revealed further differences between the identified types.

CONCLUSION

This study empirically confirms some of the sub-groups of the early and late starter typology described in the literature. In particular, the "early starters", "late starters" and "first presenters" were identified, but cluster four comprises individuals not previously described in the scientific literature. Each of these classes has group-specific characteristics that may have implications for forensic treatment, post-release aftercare, and the legal system.

Socioeconomic position indicators and risk of alcohol-related medical conditions: A national cohort study from Sweden

BACKGROUND

Alcohol consumption contributes to excess morbidity and mortality in part through the development of alcohol-related medical conditions (AMCs, including alcoholic cardiomyopathy, hepatitis, cirrhosis, etc.). The current study aimed to clarify the extent to which risk for these outcomes differs as a function of socioeconomic position (SEP), as discrepancies could lead to exacerbated health disparities.

METHODS AND FINDINGS

We used longitudinal Swedish national registries to estimate the individual and joint associations between 2 SEP indicators, educational attainment and income level, and risk of AMC based on International Classification of Diseases codes, while controlling for other sociodemographic covariates and psychiatric illness. We conducted Cox proportional hazards models in sex-stratified analyses (N = 1,162,679 females and N = 1,196,659 males), beginning observation at age 40 with follow-up through December 2018, death, or emigration. By the end of follow-up, 4,253 (0.37%) females and 11,183 (0.93%) males had received an AMC registration, corresponding to overall AMC incidence rates among females and males of 2.01 and 5.20, respectively. In sex-stratified models adjusted for birth year, marital status, region of origin, internalizing and externalizing disorder registrations, and alcohol use disorder (AUD) registration, lower educational attainment was associated with higher risk of AMC in both females (hazard ratios [HRs] = 1.40 to 2.46 for low- and mid-level educational attainment across 0 to 15 years of observation) and males (HRs = 1.13 to 1.48). Likewise, risk of AMC was increased for those with lower income levels (females: HRs = 1.10 to 5.86; males: HRs = 1.07 to 6.41). In secondary analyses, we further adjusted for aggregate familial risk of AUD by including family genetic risk scores for AUD (FGRSAUD), estimated using medical, pharmacy, and criminal registries in extended families, as covariates. While FGRSAUD were associated with risk of AMC in adjusted models (HR = 1.17 for females and HR = 1.21 for males), estimates for education and income level remained largely unchanged. Furthermore, FGRSAUD interacted with income level, but not education level, such that those at higher familial liability to AUD were more susceptible to the adverse effect of low income. Limitations of these analyses include the possibility of false negatives for psychiatric illness registrations, changes in income after age 40 that were not accounted for due to modeling restrictions, restriction to residents of a high-income country, and the inability to account for individual-level alcohol consumption using registry data.

CONCLUSIONS

Using comprehensive national registry data, these analyses demonstrate that individuals with lower levels of education and/or income are at higher risk of developing AMC. These associations persist even when accounting for a range of sociodemographic, psychiatric, and familial risk factors. Differences in risk could contribute to further health disparities, potentially warranting increased screening and prevention efforts in clinical and public health settings.

Systematic Review and Meta-analysis: Rates of Violence During First-Episode Psychosis (FEP)

BACKGROUND

Most people with psychotic disorders will never commit an act of violence. However, the risk of violence committed by people with schizophrenia is higher than the general population. Violence risk is also known to be highest during the first episode of psychosis compared to later stages of illness. Despite this, there have been no comprehensive reviews conducted in the past 10 years examining rates of violence during FEP. We aimed to provide an updated review of the rate of violence in people with FEP.

STUDY DESIGN

Meta-analytical techniques were used to identify pooled proportions of violence according to severity (less serious, serious, severe) and timing of violence (before presentation, at first presentation, after presentation to services).

STUDY RESULTS

Twenty-two studies were included. The pooled prevalence was 13.4% (95% CI [9.0%-19.5%]) for any violence, 16.3% (95% CI [9.1%-27.4%]) for less serious violence, 9.7% (95% CI [5.4%-17.0%]) for serious violence and 2.7% for severe violence, regardless of time point. The pooled prevalence of any violence was 11.6% (95% CI [6.8%-18.9%]) before presentation, 20.8% (95% CI [9.8%-38.7%]) at first presentation and 13.3% (95% CI [7.3%-23.0%]) after presentation to services.

CONCLUSION

Overall, rates of violence appear to be lower in more recent years. However, due to the high between-study heterogeneity related to study design, the findings must be interpreted with consideration of sample characteristics and other contextual factors. The prevalence of violence remained high at all-time points, suggesting that more targeted, holistic, and early interventions are needed for clinical FEP groups.

Approaches and challenges to assessing risk of violence in first episode psychosis: A qualitative interview study of clinicians, patients and carers

AIM

Clinical services for early psychosis seek to improve prognosis for a range of adverse outcomes. For some individuals, perpetration of violence is an important potential outcome to reduce. How these clinical services currently assess this risk however is uncertain. This study aimed to address this gap by using qualitative methods to examine in depth current approaches, attitudes and challenges to assessing violence risk in this clinical setting, from the perspectives of multidisciplinary clinicians, patients and carers.

METHODS

Participants were recruited from two UK Early Intervention in Psychosis services. Semi-structured individual interviews were undertaken using a topic guide. In addition, clinical vignettes were presented to clinician participants as a probe to prompt discussion. Data were analysed using thematic analysis, informed by the constant comparative method.

RESULTS

We conducted 30 qualitative interviews, of 18 clinicians and 12 patients and carers. Themes developed from clinician interviews included key difficulties of low confidence, limited training, accessing collateral information and variation in how risk is appraised and communicated. Potential stigma and sensitivity of the topic of violence were perceived as barriers to its discussion. Patient and carer perspectives provided insight into how to address barriers, and highlighted the importance of an open approach, including with families.

CONCLUSIONS

We recommend developing contextually appropriate pathways to collaboratively assess violence risk and identify modifiable needs to reduce this risk, and for practical improvements in training and information-sharing.

The influence of the COMT Val158Met polymorphism on prefrontal TDCS effects on aggression

Increasing dorsolateral prefrontal cortex (DLPFC) activity by anodal transcranial direct current stimulation (tDCS) enhances cognitive control and might reduce aggression. The Val158Met polymorphism within the catechol-O-methyltransferase gene (rs4680) plays a pivotal role in prefrontal dopamine signaling, displaying associations with aggressive behavior, and potentially influencing the effects of tDCS. In a double-blind, sham-controlled study, we investigated the influence of rs4680 on tDCS effects on aggression. While undergoing functional magnetic resonance imaging, 89 healthy male participants performed the Taylor aggression paradigm before and immediately after tDCS. Actively stimulated participants (n = 45) received anodal tDCS (1.5 mA) for 20 min targeting the right DLPFC. Carriers of the val-allele (val+; n = 46; active tDCS n = 23) were compared to met-allele homozygotes (val-; n = 43; active tDCS n = 22). Analysis revealed decreased aggressive behavior in the val- group following active tDCS (p < 0.001). The val+ group showed increased aggression during the second session (p < 0.001) with an even higher increase following active as compared to sham tDCS (p < 0.001). No effects of stimulation or rs4680 on brain activation were found. Our study provides evidence for opposite tDCS effects on aggressive behavior in val-carriers and val-noncarriers. By shedding light on genetic factors predicting tDCS responsivity, the study will help to pave the way toward individualized-and thus more effective-tDCS treatment options.

Predicting violence in female forensic inpatients with substance use disorders - the utility of a gender-responsive assessment

Introduction

Given that risk assessment tools are commonly based on male samples, the applicability to justice-involved women remains to be clarified. This study aimed at assessing (1) the predictive validity of the HCR-20 V3, the prevailing, yet primarily male-based violence risk assessment instrument, and (2) the incremental validity of the FAM, a gender-responsive supplement, for both inpatient violence and violent recidivism in justice-involved women.

Methods

The sample included 452 female forensic inpatients with substance use disorder discharged from German forensic psychiatric care between 2001 and 2018.

Results

ROC analyses revealed good predictive accuracy for the HCR-20 V3 while the FAM failed to provide incremental validity. Further, binary logistic regression determined several predictors of violence including personality disorder, covert/manipulative behavior, suicidal behavior/self-harm, and problematic intimate relationship.

Discussion

These findings support the applicability of the HCR-20 V3 in justice-involved women with substance use disorder, while highlighting the clinical relevance of the FAM in supporting a gender-informed risk management.

Violent behavior and the network properties of psychopathological symptoms and real-life functioning in patients with schizophrenia

Objective

To assess the interplay among psychopathological symptoms and real-life functioning, and to further detect their influence with violent behavior in patient with schizophrenia.

Methods

A sample of 1,664 patients with post-violence assessments and their propensity score-matched controls without violence from a disease registration report system of community mental health service in Guangdong, China, were studied by network analysis. Ising-Model was used to estimate networks of psychopathological symptoms and real-life functioning. Then, we tested whether network properties indicated the patterns of interaction were different between cases and controls, and calculated centrality indices of each node to identify the central nodes. Sensitivity analysis was conducted to examine the difference of interaction patterns between pre-violence and post-violence assessments in violence cases.

Results

Some nodes in the same domain were highly positive interrelations, while psychopathological symptoms were negatively related to real-life functioning in all networks. Many symptom-symptom connections and symptom-functioning connections were disconnected after the violence. The network density decreased from 23.53% to 12.42% without statistical significance (p = 0.338). The network structure, the global network strength, and the global clustering coefficient decreased significantly after the violence (p < 0.001, p = 0.019, and p = 0.045, respectively). Real-life functioning had a higher node strength. The strength of sleeping, lack of spontaneity and flow of conversation, and preoccupation were decreased in post-violence network of patients.

Conclusion

The decreasing connectivity may indicate an increased risk of violence and early warning for detecting violence. Interventions and improving health state based on nodes with high strength might prevent violence in schizophrenia patients.

Absolute and relative risk of violent victimisation and perpetration following onset of mental illness: a Danish register-based study

Background

Previous research has suggested that people with severe mental illness are at elevated risk of both violence perpetration and violent victimisation, with risk of the latter being perhaps greater than the former. However, few studies have examined risk across both outcomes.

Methods

Using a total population approach, the absolute and relative risks of victimisation and perpetration were estimated for young men and women across the full psychiatric diagnostic spectrum. Information on mental disorder status was extracted from national registers and information on violent victimisation and perpetration outcomes from police records. The follow-up was from age 15 to a maximum of 31 years, with most of the person-time at risk pertaining to cohort members aged in their early twenties. Both absolute risk (at 1 and 5 years from onset of illness) and relative risk were estimated.

Findings

Both types of violent outcome occurred more frequently amongst those with mental illness than the general population. However, whether risk of one was greater than the other depended on a range of factors, including sex and diagnosis. Men with a mental disorder had higher absolute risks of both outcomes than women [victimisation: Cin (5 year) = 7.15 (6.88-7.42) versus Cin (5 year) = 4.79 (4.61-4.99); perpetration: Cin (5 year) = 8.17 (7.90-8.46) versus Cin (5 year) = 1.86 (1.75-1.98)], as was the case with persons in the general population without a recorded mental illness diagnosis. Women with mental illness had higher absolute risk of victimisation than perpetration, which was also true for men and women without mental illness. However, the opposite was true for men with mental illness. Men and women with diagnoses of personality disorders, substance use disorders, and schizophrenia-spectrum disorders were at highest risk of victimisation and perpetration.

Interpretation

Strategies developed to prevent violent victimisation and violence perpetration may need to be tailored for young adults with mental disorders. There may also be a benefit in taking a sex-specific approach to prevention in this group.

Funding

This study was supported by an Australian National Health and Medical Research Council Investigator Grant awarded to the first author.

A Systematic Review of Interpersonal Violence Perpetration and Victimization Risk Examined Within Single Study Cohorts, Including in Relation to Mental Illness

Rates of both violent victimization and violence perpetration are known to be elevated among individuals with mental illness compared with those in the general population, though the relative risk of each outcome is less well established. In this systematic review, PubMed, Embase, Web of Science, PsycINFO, and Criminal Justice Abstracts were searched for articles published any time before October 2021 that reported the prevalence or incidence of both violent victimization and perpetration. We performed two searches to identify studies using samples or cohorts of (1) persons with mental illnesses and (2) persons in the general population. A total of 25 studies (9 examining persons with mental illnesses, 13 examining persons in the general population, and 3 examining both sample/cohort types) were identified and data was extracted to describe the type and size of cohort or sample, definitions and terminology (i.e., mental illness, violence victimization, violence perpetration), data source(s), observation period, prevalence/incidence of victimization, and prevalence/incidence of perpetration. The Joanna Briggs Institute Critical Appraisal Checklist for Studies Reporting Prevalence Data was used to conduct a quality assessment of all included studies. Due to marked study heterogeneity, results were presented using a narrative synthesis approach. Across studies, findings were mixed, and the methodological approaches varied greatly. Broadly, the review provides evidence for (1) higher rates of victimization than perpetration for both individuals with mental illness and those in the general population and (2) higher rates of both victimization and perpetration for those with mental illness compared to those in the general population.

Mapping Violent Behaviors and Psychiatric Symptoms Among Male Psychiatric Inpatients from a Network Perspective

Psychiatric symptoms are common risk factors of violent behaviors among psychiatric patients. This study explored the interrelationship between violence and psychiatric symptoms in male psychiatric inpatients. This is a cross-sectional survey conducted in 2019. All patients admitted to the Male Psychiatry Unit of the Second Xiangya Hospital were consecutively recruited. The presence of five violent behaviors and eleven psychiatric symptoms were collected by reviewing medical records and were included as categorical variable in the network analyses. A total of 673 participants were included. The most central symptoms were "flight of ideas", "property-oriented violence", "emotional high", "verbal violence", "physical violence attempt", and "physical violence" in the network of psychiatric symptoms and violent behaviors. The bridge symptoms connecting violence and psychiatric symptoms were "verbal violence", "property-oriented violence", "hyperbulia", and "emotional high" according to the indices of bridge expected influence. The directed acyclic graph analysis revealed that "emotional high" and "hyperbulia" were the key psychiatric symptoms triggering violence, while "verbal violence" and "property-oriented violence" were the most upstream violent behavior. Verbal and property-oriented violence should be addressed in the risk assessment among male psychiatric inpatients. In addition, emotional high and hyperbulia are the potential treatment targets for violent behaviors.

Facilitating a safe and caring atmosphere in everyday life in forensic mental health wards - a qualitative study

PURPOSE

To explore healthcare professionals' experiences with facilitating a safe and caring atmosphere in patients' everyday lives in forensic mental health wards.

METHODS

This qualitative study employed interviews with 16 healthcare professionals working shifts in two forensic mental healthcare wards in Norway. Data were analysed using phenomenological hermeneutic analysis.

RESULTS

The findings are presented in terms of two themes. The first theme is "Creating a calming atmosphere" and includes the subthemes "Creating caring surroundings with safety, comfort and trust" and "Balancing everyday life activities". The second theme is "Facilitating risk assessments and care" and includes the subthemes "Acting as a team", "Becoming aware of the meaning in signs" and "Becoming aware of vulnerability and the window of tolerance".

CONCLUSIONS

Involvement in patients' history and lived lives is important both for understanding general social behaviour as well as for assessing signs, symptoms, and changes in patients' conditions; furthermore, it provides valuable information that allows healthcare professionals to become aware of the underlying meanings in signs, which can facilitate examinations and treatment. Acting as a team is essential to solve issues in a calm and safe way when signs of violence occur. In addition, our participants highlighted the need to be aware of individual patients' vulnerability and windows of tolerance to obtain a deeper understanding of patients' lived lives as a whole in the context of providing therapy and care to patients.

Incidence, Severity and Characteristics of Patients' Aggression in Acute Psychiatric Wards: Data from a Slovenian National Survey

Aim

To evaluate the incidence, severity and characteristics of aggressive behaviour in patients hospitalized in acute psychiatric wards, as well as the association between patient characteristics and the incidence of recurrent aggressive behaviour.

Methods

A multicentre prospective study included all twelve acute wards in Slovenian psychiatric hospitals with a total capacity of 232 beds. Over five consecutive months, data on the number of treatment episodes involving aggressive behaviour and the number of aggressive incidents, their severity and characteristics were obtained using the Staff Observation Aggression Scale-Revised (SOAS-R). Patient- and event-based incident rates of verbal and physical aggression were calculated. The association between patient characteristics and recurrent aggressive behaviour was analysed. Patient characteristics data were extracted from hospital databases.

Results

3,190 treatment episodes were included during a 5-month period. Aggressive behaviour was observed in 13.4% of treatment episodes, and 922 aggressive incidents were recorded, which resulted in 3.98 incidents per 100 occupied bed days and 9.48 incidents per bed per year. 74.1% of incidents were severe, and more than half of incidents included physical aggression. 75.5% of incidents were directed against medical staff. 5.9% of treatment episodes were involved in multiple aggressive incidents. Compared to patients with single incidents, patients with recurrent aggression had a less frequent main diagnosis of substance use disorders and a longer duration of hospitalization.

Conclusion

Monitoring the frequency and characteristics of aggressive behaviour allows comparisons with other studies and, more importantly, it is necessary for planning and assessing the effectiveness of preventative aggression management strategies.

Mental Health and Violence in Children and Adolescents

This article examines the complex interplay between mental health and violence among children. Although children with mental illness are more likely to be victims of violence than perpetrators, this article describes the few mental health conditions associated with increased violent behavior among children. Next, the authors examine the spectrum of mental health sequelae among children following exposure to various forms of violence. Lastly, the authors discuss the underutilization of mental health services in this population and highlight screening and intervention tools available to pediatric clinicians caring for children exposed to violence.

Depressive symptoms and anger and aggression in Russian adolescents

Research among adolescents exploring the association between depressive symptoms and aggression has produced inconsistent findings. This study investigated the prevalence of clinically significant (current major depressive episode) and subthreshold depressive symptoms in a general population sample of adolescents from Northern Russia and explored their association with aggression and anger, while controlling for comorbid mental health problems. The sample consisted of 2600 participants, aged 13-17 years (59.5% female; 95.7% ethnic Russian). Symptoms of a current major depressive episode, types of anger and aggression (anger rumination, trait anger, physical, verbal and social aggression) and comorbid problems (posttraumatic stress, alcohol use, anxiety, and hyperactivity/impulsivity) were assessed by means of self-reports. The prevalence of a clinically significant depressive episode in the past month was 3.5%, while for subthreshold depression it was 21.6%. All anger and aggression variables, as well as comorbid problems increased together with increasing levels of depression. The association between overt aggressive behavior and depression was primarily explained by comorbid mental health problems, whereas anger rumination and social aggression had more direct associations with depression, independent of comorbidity. Among adolescents with depression, boys reported higher levels of social and verbal aggression and of anger rumination than girls. The results of this study suggest that interventions aiming to reduce aggressive behavior in adolescents should consider depression and its comorbid conditions.

Changing trends in the global burden of mental disorders from 1990 to 2019 and predicted levels in 25 years

AIMS

The burden of mental disorders is increasing worldwide, thus, affecting society and healthcare systems. This study investigated the independent influences of age, period and cohort on the global prevalence of mental disorders from 1990 to 2019; compared them by sex; and predicted the future burden of mental disorders in the next 25 years.

METHODS

The age-specific and sex-specific incidence of mental disorders worldwide was analysed according to the general analysis strategy used in the Global Burden of Disease Study in 2019. The incidence and mortality trends of mental disorders from 1990 to 2019 were evaluated through joinpoint regression analysis. The influences of age, period and cohort on the incidence of mental disorders were evaluated with an age-period-cohort model.

RESULTS

From 1990 to 2019, the sex-specific age-standardized incidence and disability-adjusted life years (DALY) rate decreased slightly. Joinpoint regression analysis from 1990 to 2019 indicated four turning points in the male DALY rate and five turning points in the female DALY rate. In analysis of age effects, the relative risk (RR) of incidence and the DALY rate in mental disorders in men and women generally showed an inverted U-shaped pattern with increasing age. In analysis of period effects, the incidence of mental disorders increased gradually over time, and showed a sub-peak in 2004 (RR, 1.006 for males; 95% CI, 1.000-1.012; 1.002 for women, 0.997-1.008). Analysis of cohort effects showed that the incidence and DALY rate decreased in successive birth cohorts. The incidence of mental disorders is expected to decline slightly over the next 25 years, but the number of cases is expected to increase.

CONCLUSIONS

Although the age-standardized burden of mental disorders has declined in the past 30 years, the number of new cases and deaths of mental disorders worldwide has increased, and will continue to increase in the near future. Therefore, relevant policies should be used to promote the prevention and management of known risk factors and strengthen the understanding of risk profiles and incidence modes of mental disorders, to help guide future research on control and prevention strategies.

Predictors of Defensive Practices among Italian Psychiatrists: Additional Findings from a National Survey

Background: Defensive medicine is characterized by medical decisions made primarily as a precaution against potential malpractice claims. For psychiatrists, professional responsibility encompasses not only the appropriateness of diagnosis and treatment but also the effects of their interventions on patients and their behaviors. Objective: To investigate the socio-demographic, educational, and occupational characteristics and work-related attitudes that may serve as predictors of defensive medicine among Italian psychiatrists. This research extends the results of a previous analysis based on a national survey. Methods: A secondary analysis of the database of a national survey on attitudes and behaviors of Italian psychiatrists regarding defensive medicine and professional liability was performed for this study. Results: Among 254 surveyed psychiatrists, 153 admitted to practicing defensive medicine, while 101 had this attitude with less than half of their patients. The first group was predominantly comprised of women (p = 0.014), who were younger in age (43.34 y 9.89 vs. 48.81 y 11.66, p < 0.001) and had fewer years of professional experience (12.09 y ± 9.8 vs. 17.46 y ± 11.2, p < 0.001). There were no significant differences in prior involvement in complaints (p = 0.876) or the usual place of work (p = 0.818). The most prominent predictors for practicing defensive medicine were (1) considering guidelines and good clinical practices not only for their clinical efficacy but also or exclusively for reducing the risk of legal complaints for professional liability (OR = 3.62; 95%CI, 1.75-7.49), and (2) hospitalizing patients with violent intentions even if not warranted according to their mental state (OR = 2.28; 95%CI, 1.50-3.46, p < 0.001). Prioritizing protection from professional liability over patients' actual needs in prescribing or adjusting drug dosages and in involuntary hospitalization, as well as prescribing lower dosages than recommended for pregnant patients, were identified as additional predictors. Finally, years of professional experience exhibited a protective function against defensive practices. Conclusions: Psychiatrists advocate the need to implement a 'risk management culture' and the provision of more balanced duties in order to ensure ethical and evidence-based care to their patients. A particular source of concern stems from their professional responsibility towards not only the health of patients but also their behavior. However, these aspects conflict with a limited potential for assessment and intervention based on effective clinical tools. A reform of professional liability that considers the specificities of patients cared for by mental health services could contribute to reducing the risk of defensive medicine.

Predictors of Defensive Practices among Italian Psychiatrists: Additional Findings from a National Survey

Background: Defensive medicine is characterized by medical decisions made primarily as a precaution against potential malpractice claims. For psychiatrists, professional responsibility encompasses not only the appropriateness of diagnosis and treatment but also the effects of their interventions on patients and their behaviors. Objective: To investigate the socio-demographic, educational, and occupational characteristics and work-related attitudes that may serve as predictors of defensive medicine among Italian psychiatrists. This research extends the results of a previous analysis based on a national survey. Methods: A secondary analysis of the database of a national survey on attitudes and behaviors of Italian psychiatrists regarding defensive medicine and professional liability was performed for this study. Results: Among 254 surveyed psychiatrists, 153 admitted to practicing defensive medicine, while 101 had this attitude with less than half of their patients. The first group was predominantly comprised of women (p = 0.014), who were younger in age (43.34 y 9.89 vs. 48.81 y 11.66, p < 0.001) and had fewer years of professional experience (12.09 y ± 9.8 vs. 17.46 y ± 11.2, p < 0.001). There were no significant differences in prior involvement in complaints (p = 0.876) or the usual place of work (p = 0.818). The most prominent predictors for practicing defensive medicine were (1) considering guidelines and good clinical practices not only for their clinical efficacy but also or exclusively for reducing the risk of legal complaints for professional liability (OR = 3.62; 95%CI, 1.75–7.49), and (2) hospitalizing patients with violent intentions even if not warranted according to their mental state (OR = 2.28; 95%CI, 1.50–3.46, p < 0.001). Prioritizing protection from professional liability over patients’ actual needs in prescribing or adjusting drug dosages and in involuntary hospitalization, as well as prescribing lower dosages than recommended for pregnant patients, were identified as additional predictors. Finally, years of professional experience exhibited a protective function against defensive practices. Conclusions: Psychiatrists advocate the need to implement a ‘risk management culture’ and the provision of more balanced duties in order to ensure ethical and evidence-based care to their patients. A particular source of concern stems from their professional responsibility towards not only the health of patients but also their behavior. However, these aspects conflict with a limited potential for assessment and intervention based on effective clinical tools. A reform of professional liability that considers the specificities of patients cared for by mental health services could contribute to reducing the risk of defensive medicine.

[Forensic-Psychiatric Consultations in General Psychiatry]

A subgroup of psychiatric patients are at increased risk of committing interpersonal violence, which may lead to placements in forensic-psychiatric institutions. The majority of patients treated in forensic hospitals have had contact with the general psychiatric care system years before being forensically committed due to an offence. Nevertheless, attempts to establish models related to violence prevention in general psychiatry have remained sparse. In the Canton of Zurich, the forensic psychiatric consultation liaison service provides the general psychiatric clinics with access to forensic psychiatric expertise. In this paper, we describe the consultation service's diagnostic and advisory offers and aim to characterize the patient population seen by the service. We compared the three most common diagnostic groups (schizophrenic, affective and personality disorders) regarding reason for consultation, history of violence and substance abuse. In addition, we analyzed content and kind of the recommendations made. From 2013 to 2021, 188 patients in general psychiatric clinics in Zurich have been examined after informed consent. Most patients had a positive history of violence (72.7%) and substance use (66.1%). Almost half of the patients (48.4%) had been diagnosed with schizophrenia or a related disorder.

Court-ordered inpatient psychiatric care in Switzerland: determinants of length of stay and treatment outcome

Introduction

In several European countries, offenders with decreased or abolished responsibility and high risk of recidivism due to long-lasting mental disorders are compulsory admitted for court-ordered treatments (COT) that take place in high and medium-security hospitals. As a rule, length of stay in these structures is very long implying major restrictions for the inmate and high societal cost. Despite intensive research, the predictors of length of stay and treatment outcome in long stay forensic services is still matter of debate.

Methods

We report here a detailed analysis of the demographic, psychiatric and offense predictors of length of stay and discharge locations of 204 mentally disordered offenders convicted to COT in a new medium-security forensic psychiatry clinic in Geneva, Switzerland. Kaplan-Meier survival estimates were performed to determine time to release. Length of stay was predicted by Cox regressions, and discharge locations were predicted by multinomial logistic regressions.

Results

The typical inpatient was a 35-age single male re-offender, submitted to COT after a conviction for physical violence (78.9%) or property violation (64.2%), with drug trafficking (52.9%), in relation to psychotic (67.2%), antisocial or borderline personality disorder (35.8%) with comorbid substance use disorders (60.3%). Sex offenses were found in 24.5% of cases and were associated with Cluster B personality disorders. The median length of stay was of 2.5 years and was independent of demographic variables, severity of crime recidivism and psychiatric diagnosis. Longer COT at admission, and type of offense (in particular drug traffic and sexual violence) predicted longer stays. At discharge, 32.8% of cases were transferred to sheltered educational housing, 23.1% to open low-security wards, while 30.6% returned to regular prisons and 9.7% to their country of origin.

Discussion

Younger age and conviction for property violation rather than physical violence increased the chances to be discharged to sheltered educational housing. Longer COT at admission, personality disorders, and conviction for sexual offense increased the risk to return to prison. These data suggest that sex offenses determine not only longer stays under COT but also drastically decreases the chance of freedom for inmates with Cluster B personality disorders.

Violence risk assessment instruments in forensic psychiatric populations: a systematic review and meta-analysis

BACKGROUND

Although structured tools have been widely used to predict violence risk in specialist mental health settings, there is uncertainty about the extent and quality of evidence of their predictive performance. We aimed to systematically review the predictive performance of tools used to assess violence risk in forensic mental health, where they are routinely administered.

METHODS

In our systematic review and meta-analysis, we followed PRISMA guidelines and searched four databases (PsycINFO, Embase, Medline, and Global Health) from database inception to Nov 1, 2022, to identify studies examining the predictive performance of risk assessment tools in people discharged from forensic (secure) mental health hospitals. Systematic and narrative reviews were excluded from the review. Performance measures and descriptive statistics were extracted from published reports. A quality assessment was performed for each study using the Prediction Model Risk of Bias Assessment Tool. Meta-analysis was conducted on the performance of instruments that were independently externally validated with a sample size greater than 100. The study was registered with PROSPERO, CRD42022304716.

FINDINGS

We conducted a systematic review of 50 eligible publications, assessing the predictive performance of 36 tools, providing data for 10 460 participants (88% men, 12% women; median age [from 47 studies] was 35 years, IQR 33-38) from 12 different countries. Post-discharge interpersonal violence and crime was most often measured by new criminal offences or recidivism (47 [94%] of 50 studies); only three studies used informant or self-report data on physical aggression or violent behaviour. Overall, the predictive performance of risk assessment tools was mixed. Most studies reported one discrimination metric, the area under the receiver operating characteristic curve (AUC); other key performance measures such as calibration, sensitivity, and specificity were not presented. Most studies had a high risk of bias (49 [98%] of 50), partly due to poor analytical approaches. A meta-analysis was conducted for violent recidivism on 29 independent external validations from 19 studies with at least 100 patients. Pooled AUCs for predicting violent outcomes ranged from 0·72 (0·65-0·79; I2=0%) for H10, to 0·69 for the Historical Clinical Risk Management-20 version 2 (95% CI 0·65-0·72; I2=0%) and Violence Risk Appraisal Guide (0·63-0·75; I2=0%), to 0·64 for the Static-99 (0·53-0·73; I2=45%).

INTERPRETATION

Current violence risk assessment tools in forensic mental health have mixed evidence of predictive performance. Forensic mental health services should review their use of current risk assessment tools and consider implementing those with higher-quality evidence in support.

FUNDING

Wellcome Trust.

Cognitive and clinical characteristics of offenders and non-offenders diagnosed with schizophrenia spectrum disorders: results of the Recoviwel observational study

The association between schizophrenia spectrum disorders (SSD) and violent behavior is complex and requires further research. The cognitive correlates of violent behavior, in particular, remain to be further investigated. Aims of the present study were to comprehensively assess the cognitive and clinical profile of SSD violent offenders and evaluate individual predictors of violent behavior. Fifty inmates convicted for violent crimes in a forensic psychiatry setting and diagnosed with SSD were compared to fifty non-offender patients matched for age, gender, education, and diagnosis. Offender and non-offender participants were compared based on socio-demographic, clinical, and cognitive variables using non-parametric testing to select potential predictors of violent behavior. Multivariate logistic regressions were then performed to identify individual predictors of violent behavior. Offender participants showed more school failures, higher prevalence of substance use, higher Clinical Global Impression Severity Scale (CGI-S) and Positive and Negative Syndrome Scale Excited Component (PANSS-EC) scores, worse working memory and better attention performance, higher Historical Clinical and Risk Management scale 20 (HCR-20) and Hare Psychopathy Checklist (PCL-R) scores in all subdomains and factors. School failures, higher PANSS-EC scores, worse working memory and processing speed, better attention performance, higher scores in HCR-20 Management subscale and the PCL-R "Callous" factor emerged as predictors of violent behavior. Better attentional performance was correlated with higher PCL-R "Callous" factor scores, worse cognitive performance in several domains with higher PCL-R "Unstable" factor scores. In conclusion, the present study highlights the importance of carefully assessing SSD patients with violent behavior in all clinical, cognitive, and behavioral aspects.

Offenders and non-offenders with schizophrenia spectrum disorders: the crime-preventive potential of sufficient embedment in the mental healthcare and support system

Background

Suffering from schizophrenia spectrum disorder (SSD) has been well-established as a risk factor for offending. However, the majority of patients with an SSD do not show aggressive or criminal behavior. Yet, there is little research on clinical key features distinguishing offender from non-offender patients. Previous results point to poorer impulse control, higher levels of excitement, tension, and hostility, and worse overall cognitive functioning in offender populations. This study aimed to detect the most indicative distinguishing clinical features between forensic and general psychiatric patients with SSD based on the course of illness and the referenced hospitalization in order to facilitate a better understanding of the relationship between violent and non-violent offenses and SSD.

Methods

Our study population consisted of forensic psychiatric patients (FPPs) with a diagnosis of F2x (ICD-10) or 295.x (ICD-9) and a control group of general psychiatric patients (GPPs) with the same diagnosis, totaling 740 patients. Patients were evaluated regarding their medical (and, if applicable, criminal) history and the referenced psychiatric hospitalization. Supervised machine learning (ML) was used to exploratively evaluate predictor variables and their interplay and rank them in accordance with their discriminative power.

Results

Out of 194 possible predictor variables, the following 6 turned out to have the highest influence on the model: olanzapine equivalent at discharge from the referenced hospitalization, a history of antipsychotic prescription, a history of antidepressant, benzodiazepine or mood stabilizer prescription, medication compliance, outpatient treatment(s) in the past, and the necessity of compulsory measures. Out of the seven algorithms applied, gradient boosting emerged as the most suitable, with an AUC of 0.86 and a balanced accuracy of 77.5%.

Discussion

Our study aimed to identify the most influential illness-related predictors, distinguishing between FPP and GPP with SSD, thus shedding light on key differences between the two groups. To our knowledge, this is the first study to compare a homogenous sample of FPP and GPP with SSD regarding their symptom severity and course of illness using highly sophisticated statistical approaches with the possibility of evaluating the interplay of all factors at play.

Risk of violent behaviour in young people at clinical high risk for psychosis from the North American Prodrome Longitudinal Studies consortium

AIM

Although violent behaviour has been studied in schizophrenia, violence risk has received little attention in individuals at clinical high risk for psychosis (CHR). This manuscript aims to report and discuss the overall results of the Structured Assessment for Violence Risk in Youth (SAVRY) from the NAPLS-3 project to explore the risk of violence in CHR youth and to determine the relationship between SAVRY violence risk scores, psychosis risk symptoms, and global functioning. We hypothesized that CHR young people are at higher risk of violence as compared to healthy comparison participants due to a similarity between risk factors for psychosis and risk factors for violence, and that this risk is associated with greater severity of symptoms, poor functioning, and risk for conversion to psychosis.

METHODS

Participants from the North American Prodrome Longitudinal Study consortium phase 3 (NAPLS-3) included 684 CHR and 96 HC. Assessments included the Structural Assessment of Violence Risk in Youth (SAVRY), clinical and functional measures.

RESULTS

The majority of participants across groups were deemed to be at low risk for violence. There were significantly more CHR participants (29.8%) who had moderate or high scores on the SAVRY Summary Risk Rating compared to HC participants (3.1%). Low versus moderate-high SAVRY scores were associated with better social (p < .005) and role (p < .002) functioning and fewer positive (p < .002), negative (p < .002), disorganized (p < .01) and general symptoms (p < .002). CHR participants with higher SAVRY scores were more likely to be diagnosed with borderline personality disorder, ADHD and substance misuse. Among CHR, overall violence risk was not associated with conversion to psychosis. However, those who converted to psychosis scored lower on the protective factors index, primarily driven by less prosocial involvement and fewer resilient personality traits.

CONCLUSIONS

This is the first study to assess violence risk in CHR adolescents. Violence risk factors overlap with risk factors for psychosis in general, perhaps accounting for the association. These findings have implications for intervention efforts to reduce violence risk and bolster resiliency in CHR youth.

Association of intellectual disability with violent and sexual crime and victimization: a population-based cohort study

BACKGROUND

Intellectual disability (ID) is associated with violent and sexual offending and victimization, but the importance of neuropsychiatric comorbidity and severity of disability remains unclear.

METHODS

In a register-based cohort study of people born in Sweden 1980-1991 (n = 1 232 564), we investigated associations of mild and moderate/severe ID with any, violent and sexual crimes, and with assault victimization, stratified by comorbid autism and attention deficit hyperactivity disorder (ADHD). We defined ID by attendance at a special school or registered diagnosis and obtained data on criminal convictions and injuries or deaths due to assaults from nationwide registers until end of 2013.

RESULTS

Compared to people without ID, autism or ADHD, men and women with mild or moderate/severe ID and comorbid ADHD had elevated risks of violent crimes [range of hazard ratios (HRs) 4.4-10.4] and assault victimization (HRs 2.0-7.7). Women with mild ID without comorbidities or with comorbid autism also had elevated risks of violent crimes and victimization (HRs 1.8-4.6) compared to women without ID, autism or ADHD. The relative risks of sexual offending and victimization were elevated in men and women with ID without comorbidities (HRs 2.6-12.7). The highest risks for sexual offending in men (HRs 9.4-11.0) and for sexual assault victimization in women (HRs 11.0-17.1) related to ID and comorbid ADHD.

CONCLUSIONS

The elevated risk of violent offending and assault victimization in people with ID is largely explained by comorbid ADHD, whereas ID is independently associated with sexual crimes and victimization, even though absolute risks are low.

Risk factors for violence among female forensic inpatients with schizophrenia

Introduction

Schizophrenia is associated with a heightened risk of violent behavior. However, conclusions on the nature of this relationship remain inconclusive. Equally, the empirical evidence on female patients with schizophrenia spectrum disorders (SSD) is strongly underrepresented.

Methods

For this purpose, the first aim of the present retrospective follow-up study was to determine the risk factors of violence in a sample of 99 female SSD patients discharged from forensic psychiatric treatment between 2001 and 2017, using three different measures of violence at varying time points (i.e., violent index offense, inpatient violence, and violent recidivism). Potential risk factors were retrieved from the relevant literature on SSD as well as two violence risk assessment instruments (i.e., HCR-20 V3, FAM). Further, we aimed to assess the predictive validity of the HCR-20 V3 in terms of violent recidivism and evaluate the incremental validity of the FAM as a supplementary gender-responsive assessment.

Results

The given results indicate strong heterogeneity between the assessed violence groups in terms of risk factors. Particularly, violence during the index offense was related to psychotic symptoms while inpatient violence was associated with affective and behavioral instability as well as violent ideation/intent, psychotic symptoms, and non-responsiveness to treatment. Lastly, violent recidivism was related to non-compliance, cognitive instability, lack of insight, childhood antisocial behavior, and poverty. Further, the application of the HCR-20 V3 resulted in moderate predictive accuracy (AUC = 0.695), while the supplementary assessment of the FAM did not add any incremental validity.

Discussion

This article provides important insights into the risk factors of violence among female SSD patients while highlighting the importance of differentiating between various forms of violence. Equally, it substitutes the existing evidence on violence risk assessment in female offenders with SSD.

Examining correlates of aggression and mediating effect of psychological distress between exposure to media violence and aggression in lebanese adults

BACKGROUND

Violent media is the most consumed type of media in Lebanon. Many studies have linked exposure to media violence to increased aggression and psychological distress. As Lebanon is going through socio-political turmoil, we aimed to [1] explore the correlates of aggression (i.e., sociodemographic factors, BMI, loneliness, social competence, and psychological distress) in a sample of Lebanese adults from the general population, and [2] to examine the mediating effect of psychological distress in the association between exposure to media violence and aggression in this sample.

METHODOLOGY

Adults were recruited through online convenience sampling. We employed scales to assess content-based media exposure (C-ME), aggression (BPAQ-SF), psychological distress (DASS-8), loneliness (JGLS), and perceived social competence (PSCS).

RESULTS

Exposure to media violence was associated with all four aggression subtypes (verbal, physical, hostility, and anger). Psychological distress partially mediated all these associations; higher exposure to media violence was significantly associated with more psychological distress, which was significantly associated with higher levels of all types of aggression. Moreover, higher exposure to media violence was significantly associated with higher levels of all types of aggression.

CONCLUSION

In the sociopolitical context of Lebanon, violent media could be considered a public hazard. Psychological distress likely potentiates the association between exposure to violent media and aggression. Future research should focus on determining what components of psychological distress underpin this mediation.

Self-reported incidents of violence towards nurses working in acute psychiatric units

BACKGROUND

 Acute psychiatric units are found to be stressful working environments because of the nature of illness patients present with.

OBJECTIVES

 This study aimed to determine self-reported incidents of physical and verbal violence towards nurses working in acute psychiatric units in Western Cape, South Africa.

METHOD

 A questionnaire was used to collect data. Chi-square test was performed to determine association between gender, category and experience of violence. Mann-Whitney U test was carried out to determine associations between years of employment and the likelihood of experiencing physical violence and verbal abuse.

RESULTS

 Overall physical violence 35 (34.3%) and verbal abuse 83 (83%) incidents. Most female respondents reported both physical violence (74.2%, n = 26) and verbal abuse (72.2%, n = 60), with (56.2%, n = 18) professional nurses reporting physical violence. Years of employment was statistically significantly associated with the likelihood of nurses experiencing physical violence (p = 0.007).

CONCLUSION

 Most respondents (74.2%, n = 26) were females and they mostly experienced physical violence and verbal abuse while 28.2% (n = 29) were males. Years of service were associated with the likelihood of experiencing physical violence.Contribution: The knowledge gained will add on existing knowledge about the challenge of violence experienced by nurses in the workplace and might have an influence on policymakers.

Post-traumatic stress disorder and the risk of violent crime conviction in Sweden: a nationwide, register-based cohort study

BACKGROUND

Post-traumatic stress disorder (PTSD) has been linked to violent crime in veteran populations. However, whether there is a link between PTSD and violent crime in the general population is not known. This study aimed to investigate the hypothesised association between PTSD and violent crime in the Swedish general population and to investigate the extent to which familial factors might explain this association using unaffected sibling control individuals.

METHODS

This nationwide, register-based cohort study assessed individuals born in Sweden in 1958-93 for eligibility for inclusion. Individuals who died or emigrated before their 15th birthday, were adopted, were twins, or whose biological parents could not be identified were excluded. Participants were identified and included from the National Patient Register (1973-2013), the Multi-Generation Register (1932-2013), the Total Population Register (1947-2013), and the National Crime Register (1973-2013). Participants with PTSD were matched (1:10) with randomly selected control individuals from the population without PTSD by birth year, sex, and county of residence in the year of PTSD diagnosis for the matched individual. Each participant was followed up from the date of matching (ie, the index person's first PTSD diagnosis) until violent crime conviction or until being censored at emigration, death, or Dec 31, 2013, whichever occurred first. Stratified Cox regressions were used to estimate the hazard ratio of time to violent crime conviction ascertained from national registers in individuals with PTSD compared with control individuals. To account for familial confounding, sibling analyses were conducted, comparing the risk of violent crime in a subsample of individuals with PTSD with their unaffected full biological siblings.

FINDINGS

Of 3 890 765 eligible individuals, 13 119 had a PTSD diagnosis (9856 [75·1%] of whom were female and 3263 [24·9%] of whom were male), were matched with 131 190 individuals who did not, and were included in the matched cohort. 9114 individuals with PTSD and 14 613 full biological siblings without PTSD were also included in the sibling cohort. In the sibling cohort, 6956 (76·3%) of 9114 participants were female and 2158 (23·7%) were male. Cumulative incidence of violent crime convictions after 5 years was 5·0% (95% CI 4·6-5·5) in individuals diagnosed with PTSD versus 0·7% (0·6-0·7) in individuals without PTSD. At the end of follow-up (median follow-up time 4·2 years, IQR 2·0-7·6), cumulative incidence was 13·5% (11·3-16·6) versus 2·3% (1·9-2·6). Individuals with PTSD had a significantly higher risk of violent crime than the matched control population in the fully-adjusted model (hazard ratio [HR] 6·4, 95% CI 5·7-7·2). In the sibling cohort, the risk of violent crime was also significantly higher in the siblings with PTSD (3·2, 2·6-4·0).

INTERPRETATION

PTSD was associated with increased risk of violent crime conviction, even after controlling for familial effects shared by siblings and in the absence of SUD or a history of violent crime. Although our results might not be generalisable to less severe or undetected PTSD, our study could inform interventions that aim to reduce violent crime in this vulnerable population.

FUNDING

None.

Assessing violence risk in first-episode psychosis: external validation, updating and net benefit of a prediction tool (OxMIV)

BACKGROUND

Violence perpetration is a key outcome to prevent for an important subgroup of individuals presenting to mental health services, including early intervention in psychosis (EIP) services. Needs and risks are typically assessed without structured methods, which could facilitate consistency and accuracy. Prediction tools, such as OxMIV (Oxford Mental Illness and Violence tool), could provide a structured risk stratification approach, but require external validation in clinical settings.

OBJECTIVES

We aimed to validate and update OxMIV in first-episode psychosis and consider its benefit as a complement to clinical assessment.

METHODS

A retrospective cohort of individuals assessed in two UK EIP services was included. Electronic health records were used to extract predictors and risk judgements made by assessing clinicians. Outcome data involved police and healthcare records for violence perpetration in the 12 months post-assessment.

FINDINGS

Of 1145 individuals presenting to EIP services, 131 (11%) perpetrated violence during the 12 month follow-up. OxMIV showed good discrimination (area under the curve 0.75, 95% CI 0.71 to 0.80). Calibration-in-the-large was also good after updating the model constant. Using a 10% cut-off, sensitivity was 71% (95% CI 63% to 80%), specificity 66% (63% to 69%), positive predictive value 22% (19% to 24%) and negative predictive value 95% (93% to 96%). In contrast, clinical judgement sensitivity was 40% and specificity 89%. Decision curve analysis showed net benefit of OxMIV over comparison approaches.

CONCLUSIONS

OxMIV performed well in this real-world validation, with improved sensitivity compared with unstructured assessments.

CLINICAL IMPLICATIONS

Structured tools to assess violence risk, such as OxMIV, have potential in first-episode psychosis to support a stratified approach to allocating non-harmful interventions to individuals who may benefit from the largest absolute risk reduction.

Neurocognitive Suicide and Homicide Markers in Patients with Schizophrenia Spectrum Disorders: A Systematic Review

Suicide and homicide are considered important problems in public health. This study aims to identify the cognitive performance of suicidal and homicidal behaviors in people with schizophrenia spectrum disorders, as well as examining whether there are shared neuropsychological mechanisms. A systematic review of the recent literature was carried out from September 2012 to June 2022 using the Medline (via PubMed), Scopus, Embase, and Cochrane databases. Among the 870 studies initially identified, 23 were finally selected (15 related to suicidal behaviors and 8 to homicidal behaviors). The results evidenced a relationship between impairment of cognitive performance and homicidal behavior; meanwhile, for suicidal behaviors, no consistent results were found. High neuropsychological performance seems to act as a protective factor against violent behavior in people with schizophrenia spectrum disorders, but not against suicidal behavior; indeed, it can even act as a risk factor for suicidal behavior. To date, there is insufficient evidence that shared neurocognitive mechanisms exist. However, processing speed and visual memory seem to be affected in the presence of both behaviors.

Association between inequalities in human resources for health and all cause and cause specific mortality in 172 countries and territories, 1990-2019: observational study

OBJECTIVE

To explore inequalities in human resources for health (HRH) in relation to all cause and cause specific mortality globally in 1990-2019.

DESIGN

Observational study.

SETTING

172 countries and territories.

DATA SOURCES

Databases of the Global Burden of Disease Study 2019, United Nations Statistics, and Our World in Data.

MAIN OUTCOME MEASURES

The main outcome was age standardized all cause mortality per 100 000 population in relation to HRH density per 10 000 population, and secondary outcome was age standardized cause specific mortality. The Lorenz curve and the concentration index (CCI) were used to assess trends and inequalities in HRH.

RESULTS

Globally, the total HRH density per 10 000 population increased, from 56.0 in 1990 to 142.5 in 2019, whereas age standardized all cause mortality per 100 000 population decreased, from 995.5 in 1990 to 743.8 in 2019. The Lorenz curve lay below the equality line and CCI was 0.43 (P<0.05), indicating that the health workforce was more concentrated among countries and territories ranked high on the human development index. The CCI for HRH was stable, at about 0.42-0.43 between 1990 and 2001 and continued to decline (narrowed inequality), from 0.43 in 2001 to 0.38 in 2019 (P<0.001). In the multivariable generalized estimating equation model, a negative association was found between total HRH level and all cause mortality, with the highest levels of HRH as reference (low: incidence risk ratio 1.15, 95% confidence interval 1.00 to 1.32; middle: 1.14, 1.01 to 1.29; high: 1.18, 1.08 to 1.28). A negative association between total HRH density and mortality rate was more pronounced for some types of cause specific mortality, including neglected tropical diseases and malaria, enteric infections, maternal and neonatal disorders, and diabetes and kidney diseases. The risk of death was more likely to be higher in people from countries and territories with a lower density of doctors, dentistry staff, pharmaceutical staff, aides and emergency medical workers, optometrists, psychologists, personal care workers, physiotherapists, and radiographers.

CONCLUSIONS

Inequalities in HRH have been decreasing over the past 30 years globally but persist. All cause mortality and most types of cause specific mortality were relatively higher in countries and territories with a limited health workforce, especially for several specific HRH types among priority diseases. The findings highlight the importance of strengthening political commitment to develop equity oriented health workforce policies, expanding health financing, and implementing targeted measures to reduce deaths related to inadequate HRH to achieve universal health coverage by 2030.

Exploring the nature and prevalence of targeted violence perpetrated by persons found not criminally responsible on account of mental disorder

Although mental illness has a demonstrated link with violence, the prevalence of targeted (planned and goal-directed) violence perpetrated by individuals with mental illness and its association with psychiatric symptoms is relatively unexplored. File information was compared for all 293 individuals found not criminally responsible due to mental illness in British Columbia between 2001 and 2005, of whom 19% had committed targeted violence. Most individuals with targeted offenses displayed at least one warning behavior before their offense (93%); all displayed delusions and approximately one third exhibited hallucinations. Compared to individuals who perpetrated non-targeted offenses, the individuals with targeted offenses displayed greater proportions of threats/criminal harassment, had female victims, displayed a psychotic disorder and/or personality disorder, and displayed delusions during the offense. This implies that severe psychiatric disorders do not preclude the perpetration of planned violence and suggests that exploring symptoms of mental illness that may be proximally indicative of targeted violence is important in preventing future acts.

Alcohol use disorder as a risk factor for violent offending and reoffending in delinquent women with substance use disorders

Female gender is generally less associated with aggressive behavior and violent offending than male gender. Therefore, most studies on violence and (re-)offending include only men. However, it is crucial to better understand pathways to female offending in order to enable efficient psychological interventions and risk assessment in women. Well-established risk factors for aggressive behavior include alcohol use disorder (AUD) and other substance use disorders (SUDs). We retrospectively analyzed the association of AUD and other SUDs with violent offending and reoffending in a sample of female offenders (N = 334) in a forensic treatment facility. In total, 72% of the patients with an AUD had committed a violent crime leading to admission, whereas only 19% of those with other SUDs had. Over 70% of the participants with AUD had a family history of AUD, and over 83% had experienced physical violence in adulthood. Rates of AUD and other SUDs did not differ regarding aggressive behavior during inpatient treatment, while the risk of reoffending with a violent crime after discharge was nine times higher in patients with an AUD than in those with other SUDs. Our results indicate that AUD is a significant risk factor for violent offending and reoffending in women. A familial background of AUD and a history of physical abuse increase the probability for both AUD and offending, suggesting a possible interaction between (epi-)genetic and environmental factors. The comparable rates of aggression during inpatient treatment in patients with AUD and other SUDs indicate that abstinence is a protective factor for violence.

Examination of the Relationship between Peripheral Inflammation Markers and Impulsivity and Aggression in Schizophrenia Patients Involved and Not Involved in Crime

Aim: The aim of this study was to examine the relationship between peripheral inflammatory markers and aggression and impulsivity in schizophrenia patients with and without criminal histories. Materials and Methods: The study was conducted with patients with schizophrenia involved in crimes and hospitalized in the Forensic Psychiatry ward of Elazığ Fethi Sekin City Hospital and patients with schizophrenia not involved in crimes and hospitalized in the psychiatry ward of Elazığ Mental Health and Diseases Hospital. All participants completed the Buss–Waren Aggression Scale (BWAS), the Barratt Impulsiveness Scale-11 (BIS-11), and the Positive and Negative Symptom Scale (PANSS). Before treatment, venous blood samples were taken for laboratory measurements on the first day of hospitalization. Results: All participants were male. The mean age of those involved in a crime was 39 ± 9.7 years, while the mean age of those not involved in a crime was 41.2 ± 10.7 years. The PANSS all subscale and total scores of the patients with schizophrenia who were involved in a crime were significantly higher than the group who were not involved (p values were p < 0.001, p = 0.001, p = 0.043, p = 0.001, respectively). The BWAS—physical aggression (p = 0.007) and total scores of the scale (p = 0.046) and BIS-11—inability to plan (p = 0.002) scores of the group involved in a crime were higher than the group not involved. As for laboratory parameters, MCH, MCHC, PDW, eosinophils, basophils, RDW-CV, and RDW-SD values were significantly higher in those involved in crime, while MPV, creatinine, albumin, and LDH values were lower. CRP and CRP/albumin values were significantly higher, while neutrophil/albumin values were significantly lower in those who committed murder in the first degree than those who committed other crimes. Conclusion: Based on our results, we found that inflammatory agents were significantly increased in forensic schizophrenia patients with high aggression scores. Significant correlations between some inflammatory factors and impulsivity and aggression scores and differences in these factors according to crime types showed that these factors might be related to violence and criminal behavior. There is a need for further large-scale studies on this subject at different stages of the disease.