The use of network pharmacology and blood metabolomics to study the pathogenesis of violent aggression in patients with schizophrenia and the related drug mechanisms of action provides new directions for reducing the risk of violent aggression and optimizing treatment plans.

To explore the metabolic regulatory mechanism of olanzapine in treating patients with schizophrenia with a moderate to high risk of violent aggression.

Metabolomic technology was used to screen differentially abundant metabolites in patients with schizophrenia with a moderate to high risk of violent aggression before and after olanzapine treatment, and the related metabolic pathways were identified. Network pharmacology was used to establish protein-protein interaction networks of the core targets of olanzapine. Gene Ontology functional analysis and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis were subsequently performed.

Compared with the healthy group, the patients with schizophrenia group presented significant changes in the levels of 24 metabolites related to the disruption of 9 metabolic pathways, among which the key pathways were the alanine, aspartate and glutamate metabolism and arginine biosynthesis pathways. After treatment with olanzapine, the levels of 10 differentially abundant metabolites were significantly reversed in patients with schizophrenia. Olanzapine effectively regulated six metabolic pathways, among which the key pathways were alanine, aspartate and glutamate metabolism and arginine biosynthesis pathways. Ten core targets of olanzapine were involved in several key pathways.

The metabolic pathways of alanine, aspartate, and glutamate metabolism and arginine biosynthesis are the key pathways involved in olanzapine treatment for aggressive schizophrenia.

By providing a structured assessment of specific risk factors, risk assessment tools allow statements to be made about the likelihood of future recidivism in people who have committed a crime. These tools were originally developed for and primarily tested in men and are mainly based on the usual criminological background of men. Despite significant progress in the last decade, there is still a lack of empirical research on female offenders, especially female forensic psychiatric inpatients. To improve prognosis in female offenders, we performed a retrospective study to compare the predictive quality of the following risk assessment tools: PCL-R, LSI-R, HCR-20 v3, FAM, and VRAG-R.

Data were collected from the information available in the medical files of 525 female patients who had been discharged between 2001 and 2017. We examined the ability of the tools to predict general and violent recidivism by comparing the predictions with information from the Federal Central Criminal Register.

Overall, the prediction instruments had moderate to good predictive performance, and the study confirmed their general applicability to female forensic psychiatric patients.

The LSI-R proved to be particularly valid for general recidivism, and both, LSI-R and HCR-20 v3, for violent recidivism.

The relationship between schizophrenia and violence is heterogeneous and complex. The aim of this study was to explore the characteristics and the potential risk factors for violence crime in patients with schizophrenia.

We conducted a retrospective case-control study at the Judicial Psychiatric Identification Unit of Xiangya Second Hospital of Central South University from January 1, 2013 to December 31, 2016. The case group included violent offenders diagnosed with schizophrenia, while the control group comprised non-violent individuals with the same diagnosis.

There were 308 individuals in the violent group [subdivided into the homicide group (n = 155) and the intentional injury group (n = 153)] and 139 individuals in the non-violent group. A risk model showed that a history of violence (odds ratio (OR) = 2.88, 95% CI [1.79-4.64]), persecutory delusions (OR = 2.57, 95% CI [1.63-4.06]), regular treatment in the previous four weeks (OR = 0.29, 95% CI [0.16-0.51]) and insight (OR = 0.30, 95% CI [0.14-0.62]) were independently associated with violence.

This study provided useful clinical information to identify risk factors for violence and develop better strategic programs to manage violence in patients with schizophrenia.

Aggression and violence are common day to day problems in psychiatric settings. However, the optimal means of assessing that risk remains unclear. In the context of that uncertainty many tools have evolved, among which the HCR-20 is one of the most globally accepted, though many questions remain about its performance, how and when it should be deployed and how it can be most effectively used. In this 12 month follow up study of 210 forensic psychiatric inpatients with a diagnosis of a schizophrenia spectrum disorder we explored these issues. We found that the performance of the HCR-20v3, especially its Total score, performed well up to 6 months after it was rated but its performance deteriorated after that. Repeating the HCR-20v3 at 6 months stabilised the risk assessment and led to improved performance in the second months over and above the first rating. The HCR-20v3 was good at identifying those subjects at low risk of violence over 6 months of follow up in a forensic inpatient setting. The real-world implications of this study are that the HCR-20v3 is an effective means of identifying patient at low risk of violence, but it should be reassessed every 6 months.

Although only a few patients with severe mental disorders (SMD) can commit violent behaviour in the community, violent behaviour aggravates the stigma towards patients with SMD. Understanding the subtypes of violent behaviour may be beneficial for preventing violent behaviour among patients with SMD, but it has rarely been studied.

This longitudinal study investigated 1914 patients with SMD in the community at baseline, and the follow-up period ranged from February 2021 to August 2021. The Barratt Impulsiveness Scale Version-11, the Buss-Perry Aggression Questionnaire, the Impulsive/Premeditated Aggression Scale, the Personality Diagnostic Questionnaire and the MacArthur Community Violence Instrument were used at baseline. The Modified Overt Aggression Scale was used to assess the occurrence of violent behaviour (outcome) during the follow-up period. Cox regression models were used to calculate hazard ratios (HRs) with 95% confidence intervals (CIs). Latent class analysis was used to characterise the subtypes of patients with SMD who engaged in violent behaviour at follow-up.

We found that 7.2% of patients with SMD presented violent behaviour within six months in the community. Younger age (OR = 0.98, 95% CI = 0.96-1.00, p = 0.016) and no economic source (OR = 1.60, 95% CI = 1.10-2.33, p = 0.014) were risk factors for violent behaviour. Patients with SMD who engaged in violent behaviour could be classified into three subtypes: one class characterised by a history of violence and impulsivity, another class characterised by high levels of aggression and motor impulsivity, and the last class characterised by median cognitive impulsivity.

Socio-demographic factors were risk factors for violent behaviour among patients with SMD, which could eliminate the discrimination toward this group. Impulsivity played a vital role in identifying the three subtypes of patients with SMD who engaged in violent behaviour. These findings may be helpful for the development of a personalised violence risk management plan for patients with SMD who commit violent behaviour in the community.

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.

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.

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.

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.

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.

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.

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.

Risk factors for violent behaviour may differ depending on whether this begins before (VBO) or after (VAO) the onset of schizophrenia spectrum disorder. However, previous studies have been limited by selective samples of forensic patients and crude outcome measures.

The sample consisted of 1013 patients with schizophrenia spectrum disorders recruited from various treatment settings across the Netherlands. Putative risk factors and outcomes were measured with standardised instruments. We used logistic regression models to compare patients with VBO (n = 48), patients with VAO (n = 130) and nonviolent (NV) patients (n = 708) on each risk factor, adjusting for sex and age.

Patients with VBO more often lived in a socially disorganised neighbourhood than NV patients (adjusted odds ratio [aOR] 3.3, 95 % confidence interval [CI] 1.3-8.0) and patients with VAO (aOR 3.3, 95 % CI 1.1-9.6). Clinical risk factors were more prevalent in patients with VAO than in NV patients, with substance misuse (aOR 1.5, 95 % CI 1.0-2.3), impairments in executive functions (aOR 1.6, 95 % CI 1.0-2.4), poor impulse control (aOR 2.4, 9 % CI 1.5-3.6), delusions (aOR 1.5, 95 % CI 1.1-2.3) and lack of illness insight (aOR 1.5, 95 % CI 1.0-2.2) reaching statistical significance. Patients with VBO were also more likely to have poor impulse control than NV patients (aOR 2.6, 95 % CI 1.3-5.1).

Strategies to predict and prevent violence in schizophrenia spectrum disorders should distinguish between VBO and VAO.

Grandiose delusions may entail difficult responsibilities and detrimental actions for patients. Recognition of these consequences by patients may provide an avenue for engagement in treatment. Furthermore, when patients carry out actions within the delusional system ("immersion behaviors") or spend considerable time thinking about their grandiose beliefs this may contribute to the persistence of the grandiosity and further harmful consequences. We, therefore, investigated grandiose-related subjective harm, immersion behaviors, and perseverative thinking.

A cross-sectional study with 798 patients with psychosis (375 of whom had grandiose delusions) and 4518 nonclinical adults. Factor analyses using data from participants scoring highly on grandiosity were used to form 3 scales: subjective harm from exceptional experiences questionnaire; immersion behaviors questionnaire; and thinking about exceptional experiences questionnaire. Associations with grandiosity were tested using structural equation modeling.

A total of 268 (77.9%) patients with grandiose delusions identified grandiose-related harms in the past 6 months and 199 (55.1%) wanted help. Immersion behaviors and perseverative thinking were highly prevalent, and explained 39.5% and 20.4% of the variance in grandiosity, respectively. Immersion behaviors and perseverative thinking were significantly associated with subjective harm, even when severity of grandiosity was controlled. Requests for help were associated with higher levels of subjective harm, use of immersion behaviors, and perseverative thinking but not severity of grandiosity.

Acting on grandiose delusions, including harmful behaviors and excessive thinking about grandiose delusions, may be routes for clinicians to engage patients in treatment. This could be a starting point for targeted psychological interventions for grandiose delusions.

Violence occurs frequently in the life of forensic psychiatric patients, both as active aggression and in the form of victimization. Undoubtedly, these incidents shape personality, behavior, and affect the ability to interact adequately socially. Thus, such experiences may influence criminal recidivism and serve as forensic psychiatric/psychological predictors upon hospital discharge.

Hence, this study aimed at characterizing two distinct female forensic psychiatric patient populations (nonsubstance use mental disorders [n = 110] versus substance use disorder [n = 415]) regarding their active and passive violent experiences as well as contextualizing these with their individual crime recidivism rates. The analysis followed a record-based, retrospective approach.

While both groups experienced aggression throughout childhood and youth equally often, substance use disorder patients were significantly more often exposed to violence during adulthood. On the other hand, severely mentally ill patients tended to react more often with violence during their hospital confinement. However, regarding their violent recidivism rate, no intergroup effects were observed. Finally, within the addicted group, a violent index crime as well as physical aggression during hospital confinement increased the odds for violent reoffending by approximately 2.4-fold (95% confidence interval 1.3-4.5) and 2.5-fold (95% confidence interval 1.1-5.9), respectively.

In summary, these findings underline the importance of active aggression rather than victimization as an influencing factor on resocialization especially in a substance use disorder patient population.

Schizophrenia is characterized by psychotic symptoms such as delusions, hallucinations, and disorganized thinking and speech. Patients suffering from schizophrenia incited by these delusions react violently in response to real or imagined threats; this engages them in violent behaviours and thus poses a threat. Sparse data are available for patients from India with regard to schizophrenia patients acting on their delusions. The aim of this study was to assess the prevalence of delusional action in patients suffering from schizophrenia and to identify the phenomenological characteristics of those delusions which are associated with action.

This study was conducted on patients with a diagnosis of schizophrenia admitted to the indoor patient department (IPD) of the Department of Psychiatry, K.D. Medical College, Hospital & Research Centre, Mathura, India, during the period of February 2022 to July 2022. A semi-structured, semi-open-ended questionnaire was used for interviewing patients regarding demographics, the course of illness, past medical illness, the family history of psychiatric disturbances, and substance use. The study tool used for delusion was the Maudsley Assessment of Delusions Schedule (MADS).

Out of 56 selected subjects, 34 acted on delusion and out of these, 19 were male and 15 female. In our study gender did not play any significant role in acting on delusion. Literacy and nuclear living households played a significant role in influencing delusion-driven behaviours, while the distinction between urban and rural living, though noteworthy, fell just short of achieving statistical significance. An emotional state like anger was significantly important to the patient's acting on delusion, which led to violent behaviour or self-harm.

Positive responses are more likely to be associated with leading action on delusion as compared to negative responses, which were also associated with action on delusion; for example, anger was significantly important in the patient's acting on delusion, which led to violent behaviour or self-harm.

Research has shown that schizophrenia augments the risk for criminal behaviour and variables both defining- and related to schizophrenia, increase criminal offending. Premeditated criminal offending is considered a severe form of criminal offending, however, very little is known about what predicts future premeditated criminal offending in schizophrenia.

In this 6-year follow-up study we explored which factors underlie future premeditated criminal behaviour in a sample of patients diagnosed with schizophrenia (N = 116). We also investigated if a specific mentalizing profile underlie part of the variance of premeditated criminal offending.

Results showed that psychopathy underlie future premeditated crime in schizophrenia, and that a specific mentalizing profile, comprised of a dysfunctional emotional and intact cognitive mentalizing profile in relation to others, mediated parts of the relation between psychopathy and premeditated criminal offending. Finally, our results indicated that patients with schizophrenia with a specific mentalizing profile (see above) engaged in premeditated criminal behaviour earlier during the 6-year follow-up period compared to patients with other mentalizing profiles.

Our findings suggest that mentalization should carefully be inspected in patients with schizophrenia in relation to future premeditated offending.

Forensic evaluations of legal insanity include the experts' assessment of symptoms present at the mental state examination (MSE) and the mental state at the time of offense (MSO). Delusions and hallucinations are most important. We explored how often symptoms were recorded in written forensic reports.

This exploratory, cross-sectional study included 500 reports of legal insanity written in 2009-2018 from cases of violent crimes in Norway. The first author read all reports and coded symptoms recorded from the experts' assessments of the offenders. Two co-authors repeated this procedure for 50 randomly selected reports. Interrater reliability was calculated with Gwet's AC1. Generalized Linear Mixed Models with Wald tests for fixed effects and Risk Ratios as effect sizes were used for the statistical analyses.

Legal insanity was the main conclusion in 23.6% of the reports; 71.2% of these were diagnosed with schizophrenia while 22.9% had other psychotic disorders. Experts recorded few symptoms from MSO, but more from MSE, although MSO is important for insanity. We found a significant association between delusions and hallucinations recorded present in the MSO and legal insanity for defendants with other psychotic disorders, but no association for defendants with schizophrenia. The differences in symptom recordings between diagnoses were significant.

Few symptoms were recorded from the MSO. We found no association between presence of delusions or hallucinations and legal insanity for defendants with schizophrenia. This may indicate that a schizophrenia diagnosis is more important to the forensic conclusion than the symptoms recorded in the MSO.

To explore the pattern of empathy characteristics in male patients with schizophrenia (SCH) and to examine whether empathy deficit is associated with impulsivity and premeditated violence.

One hundred and fourteen male SCH patients were enrolled in this study. The demographic data of all patients were collected and the subjects were divided into two groups, namely, the violent group, including 60 cases, and the non-violent group, comprising 54 cases, according to the Modified Overt Aggression Scale (MOAS). The Chinese version of the Interpersonal Reactivity Index-C (IRI-C) was used to evaluate empathy and the Impulsive/Predicted Aggression Scales (IPAS) was employed to assess the characteristics of aggression.

Among the 60 patients in the violent group, 44 patients had impulsive aggression (IA) and 16 patients had premeditated aggression (PM) according to the IPAS scale. In the violent group, the scores of the four subfactors of the IRI-C, i.e., perspective taking (PT), fantasy (FS), personal distress (PD), and empathy concern (EC), were significantly lower than in the non-violent group. Stepwise logistic regression showed that PM was independent influencing factor for violent behaviors in SCH patients. Correlation analysis revealed that EC of affective empathy was positively correlated with PM but not with IA.

SCH patients with violent behavior had more extensive empathy deficits compared with non-violent SCH patients. EC, IA and PM are independent risk factors of violence in SCH patients. Empathy concern is an important index to predict PM in male patients with SCH.

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.

The relationship between schizophrenia and violence is complex. The aim of this multicentre case-control study was to examine and compare the characteristics of a group of forensic psychiatric patients with a schizophrenia spectrum disorders and a history of significant interpersonal violence to a group of patients with the same diagnosis but no lifetime history of interpersonal violence.

Overall, 398 patients (221 forensic and 177 non-forensic patients) were recruited across five European Countries (Italy, Germany, Poland, Austria and the United Kingdom) and assessed using a multidimensional standardised process.

The most common primary diagnosis in both groups was schizophrenia (76.4%), but forensic patients more often met criteria for a comorbid personality disorder, almost always antisocial personality disorder (49.1 v. 0%). The forensic patients reported lower levels of disability and better social functioning. Forensic patients were more likely to have been exposed to severe violence in childhood. Education was a protective factor against future violence as well as higher levels of disability, lower social functioning and poorer performances in cognitive processing speed tasks, perhaps as proxy markers of the negative syndrome of schizophrenia. Forensic patients were typically already known to services and in treatment at the time of their index offence, but often poorly compliant.

This study highlights the need for general services to stratify patients under their care for established violence risk factors, to monitor patients for poor compliance and to intervene promptly in order to prevent severe violent incidents in the most clinically vulnerable.

Patients with Severe Mental Disorders (SMD) have a higher risk of violent behaviour than the general population. The study aimed to investigate the predictive factors for the occurrence of violent behaviour in community SMD patients.

The cases and follow-up data were collected from SMD patient Information Management system in Jiangning District, Jiangsu Province. The incidence of violent behaviours was described and analyzed. Logistic regression model was used to examine the influencing factors for violent behaviours in those patients.

Among 5277 community patients with SMD in Jiangning District, 42.4% (2236/5277) had violent behaviours. The stepwise logistic regression analysis revealed that the disease-related factors (including disease type, disease course, times of hospitalization, medication adherence, past violent behaviours), the demographic factors (age, male sex, educational level, economic and social living status), and the policy-related factors (like free treatment, annual physical check, disability certificate, family physician services, and community interviews) were significantly related to the violent behaviours in community SMD patients. After gender stratification, we found that male patients with unmarried status and with a longer course of disease were more likely to violent. However, we found that female patients with lower economic status and educational experience were more likely to violent.

Our results suggest that community SMD patients had a high incidence of violent behaviour. The findings may provide valuable information for policymakers and mental health professionals worldwide taking a number of measures to reduce the incidence of violence in community SMD patients and to better maintain social security.

In this paper, we examine a number of approaches that propose new models for psychiatric theory and practices: in the way that they incorporate 'social' dimensions, in the way they involve 'communities' in treatment, in the ways that they engage mental health service users, and in the ways that they try to shift the power relations within the psychiatric encounter. We examine the extent to which 'alternatives' - including 'Postpsychiatry', 'Open Dialogue', the 'Power, Threat and Meaning Framework' and Service User Involvement in Research - really do depart from mainstream models in terms of theory, practice and empirical research and identify some shortcomings in each. We propose an approach which seeks more firmly to ground mental distress within the lifeworld of those who experience it, with a particular focus on the biopsychosocial niches within which we make our lives, and the impact of systematic disadvantage, structural violence and other toxic exposures within the spaces and places that constitute and constrain many everyday lives. Further, we argue that a truly alternative psychiatry requires psychiatric professionals to go beyond simply listening to the voices of service users: to overcome epistemic injustice requires professionals to recognise that those who have experience of mental health services have their own expertise in accounting for their distress and in evaluating alternative forms of treatment. Finally we suggest that, if 'another psychiatry' is possible, this requires a radical reimagination of the role and responsibilities of the medically trained psychiatrist within and outside the clinical encounter.

Violence is more prevalent in patients with psychotic disorders compared to the general population. Hence, adequate violence risk assessment is of high clinical importance. Impaired insight is suggested as a risk factor for violence in psychosis, but studies have yielded conflicting results. We hypothesized that impaired insight was associated with a history of severe violence in patients with psychotic disorders.

Clinical insight was assessed both using the Birchwood Insight Scale (BIS) and the Positive and Negative Symptom Scale (PANSS) item G12 (lack of judgment and insight). The degree of impaired clinical insight was compared between psychosis patients with (N = 51) and without (N = 178) a history of severe violence. Multiple linear regression analyses were performed to investigate the effects of putative confounders.

We found that a history of severe violence was significantly associated with lower insight in one of the three BIS components (the relabeling of symptoms) (P = .03, R2 = 0.02) and the PANSS item G12 (P = .03, R2 = 0.02) also after controlling for putative confounders.

The results suggest there is an association between impaired insight and severe violence in psychosis patients. We propose that examination of insight by validated instruments comprising different components may add useful information to clinical violence risk assessment in psychosis patients.

Several cases of COVID-19-related mental disorders have emerged during the pandemic. In a case of femicide that occurred in Italy during the first phase of the pandemic, coinciding with a national lockdown, a discrepancy arose among forensic psychiatry experts, particularly toward the diagnosis of Brief Psychotic Disorder (BPD) related to COVID-19. We aimed to discuss the evaluation of the case through an integration of information and a literature review on comparable reported cases. An analysis of the diagnosis of brief acute psychosis was then performed, as well as a mini-review on cases of COVID-19-related psychosis. Results showed that psychotic symptomatology was characterized by polythematic delusions that always involved a SARS-CoV-2 infection. To a lesser extent, the delusions were accompanied by hallucinations, bizarre cognitive and associative alterations, insomnia, hyporexia, dysphoria, and suicidal behavior. No particularly violent acts with related injury or death of the victim were described. Finally, we could hypothesize that our case was better represented by a diagnosis of personality with predominantly narcissistic and partly psychopathic traits. The present case highlighted the importance, in the context of forensic psychiatry, of integrating assessments with the crime perpetrators, namely through accurate clinical interviews, neuropsychological tests, diachronic observations, and comparison with similar cases present in the literature. Such an integrated approach allows precise evaluation and reduces the odds of errors in a field, such as forensic psychiatry, where a diagnostic decision can be decisive in the judgment of criminal responsibility. Moreover, discerning forensics from health cases represents an important issue in risk management.

Research has explored how the COVID-19 pandemic triggered a wave of conspiratorial thinking and online hate speech, but little is empirically known about how different phases of the pandemic are associated with hate speech against adversaries identified by online conspiracy communities. This study addresses this gap by combining observational methods with exploratory automated text analysis of content from an Italian-themed conspiracy channel on Telegram during the first year of the pandemic. We found that, before the first lockdown in early 2020, the primary target of hate was China, which was blamed for a new bioweapon. Yet over the course of 2020 and particularly after the beginning of the second lockdown, the primary targets became journalists and healthcare workers, who were blamed for exaggerating the threat of COVID-19. This study advances our understanding of the association between hate speech and a complex and protracted event like the COVID-19 pandemic, and it suggests that country-specific responses to the virus (e.g., lockdowns and re-openings) are associated with online hate speech against different adversaries depending on the social and political context.

Among forensic patients with schizophrenia spectrum disorders, the association between symptomatology and violence is still not entirely clear in literature, especially because symptoms shift both during the acute phase of the illness and after. The aims were to investigate the level of symptomatology in forensic patients and to evaluate if there are differences in the level of symptoms between forensic and non-forensic patients. According to PRISMA guidelines, a systematic search was performed in PubMed, Web of Science, and ProQuest, using the following key words: "forensic" AND "Positive and Negative Syndrome Scale" OR "PANSS". A total of 27 studies were included in the systematic review, while only 23 studies in the meta-analysis. The overall sample included a total of 1702 participants, most commonly male and inpatients in forensic settings. We found that studies with an entirely male sample had significantly lower Positive PANSS ratings than studies with mixed samples. Although both forensic and non-forensic patients were affected by mild psychopathological symptoms, forensic patients presented higher ratings in all four PANSS scales. This meta-analysis shows that forensic patients reported a mild level of symptomatology, as assessed with the PANSS, and therefore might be considered as patients in partial remission. Among patients with schizophrenia, the association between symptoms and violence is very complex: many factors might be considered as key mediators and thus should be taken into account to explain this association. Further studies are needed.Trial registration all materials and data can be found on the OSF framework: https://osf.io/5ceja (date of registration: 8 September 2021).

We aimed to apply natural language processing algorithms in routine healthcare records to identify reported somatic passivity (external control of sensations, actions and impulses) and thought interference symptoms (thought broadcasting, insertion, withdrawal), first-rank symptoms traditionally central to diagnosing schizophrenia, and determine associations with prognosis by analysing routine outcomes.

Four algorithms were developed on deidentified mental healthcare data and applied to ascertain recorded symptoms over the 3 months following first presentation to a mental healthcare provider in a cohort of patients with a primary schizophreniform disorder (ICD-10 F20-F29) diagnosis.

From the electronic health records of a large secondary mental healthcare provider in south London, 9323 patients were ascertained from 2007 to the data extraction date (25 February 2020).

The primary binary dependent variable for logistic regression analyses was any negative outcome (Mental Health Act section, >2 antipsychotics prescribed, >22 days spent in crisis care) over the subsequent 2 years.

Final adjusted models indicated significant associations of this composite outcome with baseline somatic passivity (prevalence 4.9%; adjusted OR 1.61, 95% CI 1.37 to 1.88), thought insertion (10.7%; 1.24, 95% CI 1.15 to 1.55) and thought withdrawal (4.9%; 1.36, 95% CI 1.10 to 1.69), but not independently with thought broadcast (10.3%; 1.05, 95% CI 0.91 to 1.22).

Symptoms traditionally central to the diagnosis of schizophrenia, but under-represented in current diagnostic frameworks, were thus identified as important predictors of short-term to medium-term prognosis in schizophreniform disorders.

Anger rumination and imagined violence, in the context of anger/aggression proclivity, are examined for their direct and conjoint associations with violent behavior by psychiatric patients.

A secondary analysis of data from the MacArthur Violence Risk Study was conducted with 1136 acute civil commitment patients, assessed during hospitalization and after hospital discharge. Anger/aggression proclivity was assessed with the Brief Psychiatric Rating Scale hostility subscale, anger rumination was indexed using items from the Novaco Anger Scale, and imagined violence was measured with Grisso's Schedule of Imagined Violence. Violence, prehospitalization and posthospitalization, was indexed by the MacArthur project measure.

Correlational analyses, mediation analyses, and moderated mediation analyses were conducted. Anger rumination significantly predicted pre- and posthospitalization violence, when controlling for age, sex, race, childhood physical abuse, and anger/aggression proclivity; and it partially mediated the relation between anger/aggression proclivity and violence. Imagined violence and anger rumination were highly inter-related. When imagined violence was added to the regression model, it was a significant predictor of prehospitalization violence; however, it did not moderate the association of anger rumination with pre- or posthospitalization violence.

Anger rumination may be a mechanism through which anger activates violent behavior, which has important implications for psychotherapeutic intervention targeting. Future research should investigate the association between anger rumination and imagined violence, with attention given to revenge planning as a link.

Recent literature examining associations between cognitive function, clinical features, and violence in patients with schizophrenia has been growing; however, the results are inconsistent. Reports on social function and personality are limited. These studies are yet to be reflected in risk assessment tools and management plans. The aim of this study is to provide a resource for risk assessment and intervention studies by conducting multifaceted well-established assessments in a large population. Data from 355 patients with schizophrenia (112 patients with a history of violence; 243 patients without a history of violence) and 1265 healthy subjects were extracted from a large database of individuals with mental disorders in a general psychiatric population in Japan. The associations between violence in patients with schizophrenia and intellectual function, cognitive function (memory function, executive function, attentional function, verbal learning, processing speed, social cognition), clinical variables, personality traits, social function, and quality of life (QOL) were analyzed. Compared with healthy subjects, the schizophrenia group had broadly impaired cognitive function and social cognition, and their personality traits showed similar differences as those reported previously. Patients with schizophrenia with a history of violence showed significantly more impaired visual memory function (P = 1.9 × 10^-5, Cohen's d = 0.34), longer hospitalization (P = 5.9 × 10^-4, Cohen's d = 0.38), more severe excited factor on Positive and Negative Syndrome Scale (P = 1.6 × 10^-4, Cohen's d = 0.47), higher self-transcendence personality construct on the Temperament and Character Inventory (P = 1.8 × 10^-4, Cohen's d = 0.46), and shorter total working hours per week (P = 4.8 × 10^-4, Cohen's d = 0.53) than those with schizophrenia without a history of violence. New findings, including impaired visual memory, a high self-transcendence personality trait, and shorter total working hours, could be focused on in future interventional research.

The amygdala is involved in fear perception and aggression regulation, and smaller volumes have been associated with psychotic and non-psychotic violence. We explored the relationship between amygdala nuclei volumes in violent offenders with and without psychosis, and the association to psychopathy traits. 3T MRI scans (n = 204, males, 18-66 years) were obtained from psychotic violent offenders (PSY-V, n = 29), non-psychotic violent offenders (NPV, n = 19), non-violent psychosis patients (PSY-NV, n = 67), and healthy controls (HC, n = 89). Total amygdala and 9 amygdala nuclei volumes were obtained with FreeSurfer. Psychopathy traits were measured with the Psychopathy Checklist-revised (PCL-R). Multivariate analyses explored diagnostic differences in amygdala nuclei volumes and associations to psychosis, violence, and psychopathy traits. PSY-V had a smaller basal nucleus, anterior amygdaloid area, and cortical amygdalar transition area (CATA), whereas PSY-NV had a smaller CATA than HC. Volumes in NPV did not differ from HC, and there were no associations between PCL-R total or factor scores and any of the nuclei or whole amygdala volumes. The lower volumes of amygdala nuclei involved in fear modulation, stress responses, and social interpretation may point towards some mechanisms of relevance to violence in psychosis, but the results warrant replication in larger subject samples.

This paper describes several ongoing challenges in the field of violence risk assessment (VRA), particularly with respect to establishing acceptable levels of measurement reliability and validity of commonly used risk assessment instruments, and demonstrating their ability to reduce risk and avert harmful outcomes. Drawing on analogous concepts from the risk assessment and management process in the aviation industry, several key lessons and aspirational principles for research and practice in the field of VRA are described. It is argued that significantly more attention is required to evaluate the ability of VRA tools to generate effective risk management plans that measurably lower risk and rates of violent outcomes. Three propositions for advancing common VRA research designs are discussed: (1) improved operationalization of risk management plans and their ability to reduce violence; (2) improved measurement of change in risk status over prospective follow-up periods, and (3) a stronger emphasis on short-term assessments with closer temporal proximity between risk factors and outcomes. Collectively, these advancements may enhance the validity and utility of VRA instruments by permitting better specification of the conditions under which risk factors exert effects, and the development of effective risk management plans that join together explanatory frameworks for the causes of violence with strategies to avoid their recurrence.

Current legislation and policy frameworks regulating the detention and treatment of mentally disordered offenders in England and Wales are predicated on the assumption that a minority of patients have enduring violent tendencies and pose a serious long-term risk to the safety of others. This paper seeks to consider the manner in which notions of risk and the imperative to contain and minimise the potential for harm, present and impact patients in secure and forensic mental health settings. Within this, we consider how mental health stigma and Beck's concept of the Risk Society can affect the thoughts and actions of those who may be held accountable for rare but potentially serious harmful events. We consider what changes may need to be enacted within secure and forensic mental health services to reduce the incidence and severity of consequent risks of harm to patients and their mental health recovery.

The link between schizophrenia and violent offending has long been the subject of research with significant impact on mental health policy, clinical practice and public perception of the dangerousness of people with psychiatric disorders. The present study attempts to identify factors that differentiate between violent and non-violent offenders based on a unique sample of 370 forensic offender patients with schizophrenia spectrum disorder by employing machine learning algorithms and an extensive set of variables.

Using machine learning algorithms, 519 variables were explored in order to differentiate violent and non-violent offenders. To minimize the risk of overfitting, the dataset was split, employing variable filtering, machine learning model building and selection embedded in a nested resampling approach on one subset. The best model was then selected, and the most important variables applied on the second data subset.

Ten factors regarding criminal and psychiatric history as well as clinical, developmental, and social factors were identified to be most influential in differentiating between violent and non-violent offenders and are discussed in light of prior research on this topic. With an AUC of 0.76, a sensitivity of 72% and a specificity of 62%, a correct classification into violent and non-violent offences could be determined in almost three quarters of cases.

Our findings expand current research on the factors influencing violent offending in patients with SSD, which is crucial for the development of preventive and therapeutic strategies that could potentially reduce the prevalence of violence in this population. Limitations, clinical relevance and future directions are discussed.

Grandiose delusions are arguably the most neglected psychotic experience in research.

We aimed to discover from patients: whether grandiose delusions have harmful consequences; the psychological mechanisms that maintain them; and what help patients may want from clinical services.

A qualitative interview design was used to explore patients' experiences of grandiose delusions.

Fifteen patients with past or present experiences of grandiose delusions who were attending psychiatric services were interviewed. Thematic analysis and grounded theory were used to analyse the data.

Participants reported physical, sexual, social, occupational, and emotional harms from grandiose delusions. All patients described the grandiose belief as highly meaningful: it provided a sense of purpose, belonging, or self-identity, or it made sense of unusual or difficult events. The meaning from the belief was not synonymous with extreme superiority or arrogance. The meaning obtained appeared to be a key driver of the persistence of the beliefs. Other maintenance factors were subjectively anomalous experiences (e.g., voices), symptoms of mania, fantasy elaboration, reasoning biases, and immersive behaviours. Participants described insufficient opportunities to talk about their grandiose beliefs and related experiences and were generally positive about the possibility of a psychological therapy.

We conclude that grandiosity is a psychologically rich experience, with a number of maintenance factors that may be amenable to a targeted psychological intervention. Importantly, the term 'grandiose delusion' is an imprecise description of the experience; we suggest 'delusions of exceptionality' may be a credible alternative.

Harm from grandiose delusions can occur across multiple domains (including physical, sexual, social, occupational, and emotional) and practitioners should assess accordingly. However, grandiose delusions are experienced by patients as highly meaningful: they provide a sense of purpose, belonging, or self-identity, or make sense of unusual or difficult events. Possible psychological maintenance mechanisms that could be a target for intervention include the meaning of the belief, anomalous experiences, mania, fantasy elaboration, reasoning biases, and immersive behaviours. Patients are keen to have the opportunity to access talking therapies for this experience. Taking extra time to talk at times of distress, 'going the extra mile', and listening carefully can help to facilitate trust.

In this Review, we summarise evidence on the association between different mental disorders and violence, with emphasis on high quality designs and replicated findings. Relative risks are typically increased for all violent outcomes in most diagnosed psychiatric disorders compared with people without psychiatric disorders, with increased odds in the range of 2-4 after adjustment for familial and other sources of confounding. Absolute rates of violent crime over 5-10 years are typically below 5% in people with mental illness (excluding personality disorders, schizophrenia, and substance misuse), which increases to 6-10% in personality disorders and schizophrenia spectrum disorders, and to more than 10% in substance misuse. Past criminality and comorbid substance misuse are strongly predictive of future violence in many individual disorders. We reviewed national clinical practice guidelines, which vary in content and require updating to reflect the present epidemiological evidence. Standardised and clinically feasible approaches to the assessment and management of violence risk in general psychiatric settings need to be developed.

In times of crisis, people are more prone to endorse conspiracy theories. Conspiracy thinking provides answers about the causes of an event, but it can also have harmful social consequences. Our research tested both the predictor and the consequences of two types of conspiracy beliefs related to the Covid-19 pandemic: (1) general conspiracy beliefs and (2) government-related conspiracy theories. In two studies in Poland (Ntotal = 2726), we found that a perceived lack of individual control predicted both types of conspiracy theories, while a sense of collective control was positively related to general conspiracy beliefs but negatively associated with government-related conspiracy theories. Moreover, general conspiracy theories were related to the acceptance of xenophobic policies and to a less favourable attitude towards outgroups whereas government-related conspiracy theories were not. Additionally, people who believed in conspiratorial governments less frequently indicated that they used prevention methods, such as social distancing and handwashing. Our research demonstrates the importance of considering the content of various conspiracy theories when studying their social effects and potential causes. Knowing which attitudes may be associated with the endorsement of specific conspiracy theories can contribute to counteracting their negative consequences during crises.

Prevention of violence due to severe mental disorders in psychiatric hospitals may require intrusive, restrictive and coercive therapeutic practices. Research concerning appropriate use of such interventions is limited by lack of a system for description and measurement. We set out to devise and validate a tool for clinicians and secure hospitals to assess necessity and proportionality between imminent violence and restrictive practices including de-escalation, seclusion, restraint, forced medication and others.

In this retrospective observational cohort study, 28 patients on a 12 bed male admissions unit in a secure psychiatric hospital were assessed daily for six months. Data on adverse incidents were collected from case notes, incident registers and legal registers. Using the functional assessment sequence of antecedents, behaviours and consequences (A, B, C) we devised and applied a multivariate framework of structured professional assessment tools, common adverse incidents and preventive clinical interventions to develop a tool to analyse clinical practice. We validated by testing assumptions regarding the use of restrictive and intrusive practices in the prevention of violence in hospital. We aimed to provide a system for measuring contextual and individual factors contributing to adverse events and to assess whether the measured seriousness of threating and violent behaviours is proportionate to the degree of restrictive interventions used. General Estimating Equations tested preliminary models of contexts, decisions and pathways to interventions.

A system for measuring adverse behaviours and restrictive, intrusive interventions for prevention had good internal consistency. Interventions were proportionate to seriousness of harmful behaviours. A 'Pareto' group of patients (5/28) were responsible for the majority (80%) of adverse events, outcomes and interventions. The seriousness of the precipitating events correlated with the degree of restrictions utilised to safely manage or treat such behaviours.

Observational scales can be used for restrictive, intrusive or coercive practices in psychiatry even though these involve interrelated complex sequences of interactions. The DRILL tool has been validated to assess the necessity and demonstrate proportionality of restrictive practices. This tool will be of benefit to services when reviewing practices internally, for mandatory external reviewing bodies and for future clinical research paradigms.

In community settings, negative symptoms and cognitive deficits are the primary barriers to independent living, stable relationships, and employment for individuals suffering from schizophrenia-spectrum disorders. In contrast, however, positive psychotic symptoms (e.g., command hallucinations and persecutory delusions) often drive behavior which serves as the gateway to arrest and criminalization. Historically, the keystone of treatment for positive psychotic symptoms has been antagonism of dopamine D2 receptors in the mesolimbic tract. In this article, we review and explore the principles underlying dopamine antagonism for the treatment of psychosis; optimization of dopamine antagonists in treating positive psychotic symptoms; the advantages of depot dopamine antagonist antipsychotics in forensic settings; the concepts of pharmacokinetic and pharmacodynamic treatment failures; and the role of medication plasma concentrations in optimizing and managing treatment.

Background: Despite individuals with schizophrenia being at an elevated risk of violence compared to the general population, limited efforts have been invested in investigating the neurobiological etiology explaining the increase. Among the few studies examining functional disruptions pertaining to violent schizophrenia patients using fMRI, only one study has considered functional connectivity. The current state of knowledge does not allow to infer deficits in functional connectivity specific to distinct cognitive/emotional states that have been associated with the emergence of violence in schizophrenia, such as negative emotion processing. This study sought to identify disrupted connectivity among men with schizophrenia and a history of violence (SCZ+V), compared to men with schizophrenia without a history of violence (SCZ-V) and healthy controls, during negative emotion processing using fMRI. Methods: Twenty SCZ+V, 19 SCZ-V, and 21 healthy men were scanned while viewing negative images. Results: Negative images elicited an increased connectivity between the dorsal anterior cingulate cortex (dACC) and the bilateral rostral prefrontal cortex (rPFC), as well as a decreased functional connectivity between the frontal regions (bilateral rPFC and dACC) and the putamen and hippocampus in SCZ+V men as compared to SCZ-V men and healthy controls. Concurrently, the centrality of the dACC within the network was reduced in SCV+V subjects. Conclusions: These results suggest an inefficient integration of the information by the dACC between frontal and limbic regions in SCZ+V men during negative emotion processing and highlight the importance of the ACC in the neurobiological bases of violent behavior in schizophrenia.

People with schizophrenia are ten times more likely to commit homicide than a member of the general population. The relationship between symptoms of schizophrenia and acts of violence is unclear. There has also been limited research on what determines the seriousness and form of violence, such as reactive or instrumental violence. Moral cognition may play a paradoxical role in acts of violence for people with schizophrenia. Thoughts which have moral content arising from psychotic symptoms may be a cause of serious violence.

We investigated if psychotic symptoms and moral cognitions at the time of a violent act were associated with acts of violence using a cross-sectional national forensic cohort (n = 55). We examined whether moral cognitions were associated with violence when controlling for neurocognition and violence proneness. We explored the association between all psychotic symptoms present at the time of the violent act, psychotic symptoms judged relevant to the violent act and moral cognitions present at that time. Using mediation analysis, we examined whether moral cognitions were the missing link between symptoms and the relevance of symptoms for violence. We also investigated if specific moral cognitions mediated the relationship between specific psychotic symptoms, the seriousness of violence (including homicide), and the form of violence.

Psychotic symptoms generally were not associated with the seriousness or form of violence. However, specific moral cognitions were associated with the seriousness and form of violence even when controlling for neurocognition and violence proneness. Specific moral cognitions were associated with specific psychotic symptoms present and relevant to violence. Moral cognitions mediated the relationship between the presence of specific psychotic symptoms and their relevance for violence, homicide, seriousness of violence, and the form of violence.

Moral cognitions including the need to reduce suffering, responding to an act of injustice or betrayal, the desire to comply with authority, or the wish to punish impure or disgusting behaviour, may be a key mediator explaining the relationship between psychotic symptoms and acts of violence. Our findings may have important implications for risk assessment, treatment and violence prevention.