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1.
J Pers Disord ; 35(2): 236-254, 2021 04.
Article in English | MEDLINE | ID: mdl-31609185

ABSTRACT

This study investigated the association between maladaptive personality traits, personality disorders (PDs), schizophrenia, and the risk of aggressive behavior. Ninety-four patients with a history of violence and 92 patients with no history of violence underwent a multidimensional baseline assessment. Aggressive behavior was monitored during a 1-year follow-up through the Modified Overt Aggression Scale. The Violent group scored significantly higher than the Control group on the Millon Clinical Multiaxial Inventory (MCMI-III) Antisocial, Sadistic, Borderline, and Paranoid personality scales. Irrespective of any history of violence, patients with PD as a primary diagnosis displayed more aggressive behaviors than those with a primary diagnosis of schizophrenia during the follow-up. Furthermore, the most significant predictor of aggressive behaviors over time was endorsing a primary diagnosis of PD. Identifying the crucial risk factors for violent recidivism would contribute to reducing aggressive behavior in this population.


Subject(s)
Schizophrenia , Humans , Longitudinal Studies , Personality , Personality Disorders/diagnosis , Personality Disorders/epidemiology , Schizophrenia/diagnosis , Schizophrenia/epidemiology , Violence
2.
Aust N Z J Psychiatry ; 54(12): 1212-1223, 2020 12.
Article in English | MEDLINE | ID: mdl-33045843

ABSTRACT

OBJECTIVE: The relationship between alcohol and substance use and the risk of violence exhibited by patients with mental disorders is under-researched. This prospective cohort study aims to compare patients with severe mental disorders and with different substance use behaviors in terms of sociodemographic and clinical characteristics, hostility, impulsivity and aggressive behaviors. Furthermore, this study aims to assess differences in violent behaviors during a 1-year monitoring follow-up. METHODS: A total of 378 participants with severe mental disorders from Italian residential facilities and from four Departments of Mental Health (244 outpatients and 134 residential patients) were enrolled. Participants were categorized as Persons with Current Substance Use, Persons with Former Substance Use and Persons with Non-Substance Use. All these patients underwent a complex multidimensional assessment, including the lifetime and current substance use; a subsample of outpatients was also assessed with a laboratory substance assay including the testing for specific substances. We assessed the differences among these three groups in hostility, impulsivity and aggressive behaviors. RESULTS: The results of the close 1-year monitoring show a significantly higher risk of violence for patients with severe mental disorders Persons with Current Substance Use compared to Persons with Former Substance Use and Persons with Non-Substance Use. Persons with Current Substance Use showed significantly higher scores for irritability, negativism and verbal assault compared to Persons with Non-Substance Use. Persons with Former Substance Use showed significantly higher scores for lifetime history of aggressive behaviors compared with patients with Persons with Non-Substance Use. CONCLUSION: These findings suggest that patients with comorbid mental illness and substance use disorders should be referred for specific interventions to reduce aggressive behavior and ensure patient well-being and community safety.


Subject(s)
Mental Disorders , Substance-Related Disorders , Aggression , Humans , Mental Disorders/epidemiology , Prospective Studies , Substance-Related Disorders/epidemiology , Violence
3.
Ann Gen Psychiatry ; 19: 36, 2020.
Article in English | MEDLINE | ID: mdl-32518577

ABSTRACT

BACKGROUND: Metacognitive functions play a key role in understanding which psychological variables underlying the personality might lead a person with a severe mental disorder to commit violent acts against others. The aims of this study were to: (a) investigate the differences between patients with poor metacognitive functioning (PM group) and patients with good metacognitive functioning (GM group) in relation to a history of violence; (b) investigate the differences between the two groups in relation to aggressive behavior during a 1-year follow-up; and (c) analyze the predictors of aggressive behavior. METHODS: In a prospective cohort study, patients with severe mental disorders with and without a lifetime history of serious violence were assessed with a large set of standardized instruments and were evaluated bi-monthly with MOAS in order to monitor any aggressive behavior. The total sample included 180 patients: 56% outpatients and 44% inpatients, and the majority were male (75%) with a mean age of 44 (± 9.8) years, and half of them had a history of violence. The sample was split into two groups: poor metacognition (PM) group and good metacognition (GM) group, according to MAI evaluation scores. RESULTS: The PM patients reported a history of violence more frequently than GM patients, during the 1-year follow-up, but no differences between groups in aggressive and violent behavior were found. The strongest predictors of aggressive behavior were: borderline and passive-aggressive personality traits and a history of violence, anger, and hostility. The metacognitive functions alone did not predict aggressive behavior, but metacognitive functions interacted with hostility and angry reactions in predicting aggressive behavior. CONCLUSIONS: This study led to some important conclusions: (a) some aspects closely related to violence are predictive of aggressive behavior only in patients with poor metacognition, thus good metacognition is a protective factor; (b) poor metacognition is associated with a history of violence, which in turn increases the risk of committing aggressive behavior.

4.
Psychiatry Res ; 289: 113027, 2020 07.
Article in English | MEDLINE | ID: mdl-32417593

ABSTRACT

In Severe Mental Disorders (SMDs) the most important cognitive deficits involve the Executive Functions (EFs). In this study we examined the association between EFs and aggressive behaviour in outpatients with SMDs. We included a total of 247 outpatients divided into two groups: 'cases', patients with a history of violence (N=126) and 'non-violent' (N=121). We compared their EFs score and then categorized the participants into four groups (Pathological Non-Violent comparison group; Non-Pathological Non-Violent comparison group; Pathological Violent cases and Non-Pathological Violent cases), based on the scores of a subtest assessing processing speed (i.e., Symbol-coding task) of the Brief Assessment of Cognition in Schizophrenia (BACS). We followed the 4 groups during a 1-year follow-up (FU) monitoring violent behaviour with the Modified Overt Aggression Scale (MOAS). According to the classification based on the BACS-Symbol Coding Task we found no statistically significant differences between subgroups in MOAS scores. We only found that the trend curve for PV was almost consistently over the other group curves in the MOAS 'aggression against people'. Our results suggested a worse performance in the violent compared to non-violent group in EFs. Despite this evidence, the score on the processing speed task was not associated with aggressive behaviour during FU.


Subject(s)
Mental Disorders/epidemiology , Mental Disorders/psychology , Neuropsychological Tests , Severity of Illness Index , Violence/psychology , Adult , Aggression/psychology , Executive Function/physiology , Female , Follow-Up Studies , Humans , Italy/epidemiology , Male , Mental Disorders/diagnosis , Middle Aged , Prospective Studies , Risk Factors
5.
Eur Arch Psychiatry Clin Neurosci ; 270(6): 761-769, 2020 Sep.
Article in English | MEDLINE | ID: mdl-31106387

ABSTRACT

Evidence for an association between impaired facial emotion recognition and violence in people with schizophrenia is inconclusive. In particular, the role of misidentification patterns involving specific emotions such as anger and the influence of clinical characteristics on this association remain unclear. In this study, we compared facial emotion recognition performance in age- and gender-matched schizophrenia spectrum disorders subjects with (N = 52) and without (N = 52) a history of violence. Data on current symptom severity, Cluster B personality status, past victimization, and alcohol and substance misuse were also collected. Compared to those without, subjects with a history of violence showed worse facial emotion recognition performances, involving anger, fear, disgust, sadness, and happiness. When formally testing the reporting of angry faces, evidence of enhanced sensitivity to anger was not supported. Finally, when the impact of current symptoms was assessed, higher severity of activation symptoms, including motor hyperactivity, elevated mood, excitement and distractibility, mediated the relationship between history of violence and poor facial emotion recognition performance. As a whole, our findings seem to support the role of perceptual deficits involving different emotions as well as of a mediation played by activation symptoms. Facial emotion recognition deficits associated with the propensity to violence, as well certain symptoms mediating their relationship, should be targeted by specific treatment approaches.


Subject(s)
Emotions/physiology , Facial Recognition/physiology , Perceptual Disorders/physiopathology , Schizophrenia/physiopathology , Social Perception , Violence , Adult , Female , Humans , Male , Mediation Analysis , Middle Aged , Perceptual Disorders/etiology , Schizophrenia/complications
6.
PLoS One ; 14(4): e0214924, 2019.
Article in English | MEDLINE | ID: mdl-30990814

ABSTRACT

BACKGROUND: The management of mentally ill offenders in the community is one of the great challenges imposed on community psychiatry. AIM: The aim of this study was to analyze the association between sociodemographic, clinical, and psychosocial factors and violent behavior in a sample of outpatients with severe mental disorders. METHOD: This was a prospective cohort study with a baseline cross-sectional design used to provide a detailed analysis of patients' profiles, followed by a longitudinal design to measure aggressive and violent behavior during a 1-year follow-up. Patients with severe mental disorders, with or without a history of violence, were enrolled in four Italian Departments of Mental Health and underwent a comprehensive multidimensional assessment. RESULTS: The sample included 247 outpatients, for a total of 126 cases and 121 controls. Compared to controls, patients with a history of violence had a greater frequency of lifetime domestic violence, a greater lifetime propensity to misuse substances, and a higher number of compulsory admissions. The forthnightly monitoring during the 1-year follow-up did show statistically significant differences in aggressive and violent behavior rates between the two groups. Verbal aggression was significantly associated with aggression against objects and physical aggression. Moreover, outpatients with an history of violence showed statistically significant higher MOAS scores compared to both residential patients with an history of violence, assessed in the first wave of this project, and all controls. CONCLUSIONS: Patients with a history of violence had specific characteristics and showed a greater occurrence of additional community violence during a 1-year observation period. Our results may assist clinicians in implementing standardized methods of patient assessment and violence monitoring in outpatient mental health services and may prompt improved collaboration between different community services.


Subject(s)
Aggression , Ambulatory Care , Hospitalization , Mental Disorders , Violence , Adolescent , Adult , Aggression/psychology , Cross-Sectional Studies , Female , Follow-Up Studies , Humans , Italy/epidemiology , Male , Mental Disorders/epidemiology , Mental Disorders/physiopathology , Mental Disorders/psychology , Mental Disorders/therapy , Middle Aged , Prospective Studies , Risk Factors , Violence/psychology
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