Psychiatric symptoms and risk of victimisation: a population-based study from Southeast London

Emotional reactions and stigmatization after a parricide in South Tyrol, Italy, among mental health professionals and the general population, including persons with mental disorders, relatives, and persons with no direct or indirect contact

Introduction

This study was conducted on the occasion of the parricide in Bolzano (South Tyrol, Italy) in January 2021. The psychological impact of parricide on the general population and on mental health professionals has scarcely been investigated to the present day. Studies on stigmatization show differences between various groups. The aim was to analyze the emotional reactions to the parricide and the stigmatization of persons with mental disorders in the South Tyrolian population.

Methods

In September 2022, 121 mental health professionals of the Department of Psychiatry in Bolzano were surveyed using an online questionnaire. In addition, from January to March 2023, the general population of South Tyrol was invited to take part in the survey through an online-link and was divided into three groups: 267 persons with mental health problems, 855 relatives and 1,019 persons with no direct or indirect contact to people with mental problems. The validated Reported and Intended Behavior Scale (RIBS) was used together with questions on the emotional reactions to the parricide and the perceived dangerousness of psychiatric patients. Descriptive statistics, one-way Anovas as well as regressions were carried out.

Results and discussion

All groups experienced sadness the most. Relatives experienced more sadness and anger than the other groups. Over 80% of the professionals stated that psychiatric patients were not at greater risk of committing parricide. The population with no contact rated the risk higher than those affected and had the lowest level of openness (RIBS). There were no differences between genders, but there were age differences, with younger people being more stigmatizing. The results suggest that personal contact, appropriate information, and education are associated with less stigmatization.

Association of physical and sexual assault with mortality in two British birth cohorts

Aims

The association of assault in adulthood with all-cause mortality, and the relevance of intermediate psychological distress, alcohol use and cigarette smoking, is poorly understood. We used data from British birth cohorts (the 1958 National Child Development Study referred to as the 1958 birth cohort and the 1970 British Birth Cohort Study) to investigate association between assault and mortality, employing a formal approach for the identification of psychological distress, alcohol use and cigarette smoking as mediators.

Methods

Associations (HRs), between assault and mortality were estimated with Cox regressions, adjusting for potential confounders. Mediation via intermediate psychological distress, alcohol use and cigarette smoking was explored using the gformula approach. The birth cohorts were analysed separately, and together estimating interaction between exposure and cohort year.

Results

Results were based on 353 deaths in 19 725 individuals. Based on multiply imputed data, the fully adjusted estimate for assault on mortality was 1.72 (95% CI 1.22 to 2.42) in the combined cohorts, 1.53 (95% CI 0.97 to 2.40) in the 1958 birth cohort and 2.05 (95% CI 1.20 to 1.50) in the 1970 birth cohort. The fully adjusted estimate for the association of sexual assault with mortality was 3.17 (95% CI 1.17 to 8.60) in the combined cohorts, 1.36 (95% CI 0.19 to 9.81) in the 1958 birth cohort and 6.02 (95% CI 1.84 to 19.69) in the 1970 birth cohort. The fully adjusted mortality HR for one additional assault was 1.46 (95% CI 1.23 to 1.73) in the combined cohorts, 1.34 (95% CI 0.99 to 1.82) in the 1958 birth cohort and 1.53 (95% CI 1.25 to 1.87) in the 1970 birth cohort. Greater need for medical treatment for assault was associated with a fully adjusted mortality HR of 1.56 (95% CI 1.19 to 2.05) in the combined cohorts, 1.43 (95% CI 1.00 to 2.05) in the 1958 birth cohort and 1.79 (95% CI 1.18 to 2.74) in the 1970 birth cohort.

Conclusions

There was statistical evidence on combining the two birth cohorts, and on analysing the 1970 birth cohort, that assault in adulthood is associated with mortality. Understanding mechanisms underlying this relationship could benefit violence reduction strategies for public health.

Measuring discrimination experienced by people with a mental illness: replication of the short-form DISCUS in six world regions

BACKGROUND

The Discrimination and Stigma Scale (DISC) is a patient-reported outcome measure which assesses experiences of discrimination among persons with a mental illness globally.

METHODS

This study evaluated whether the psychometric properties of a short-form version, DISC-Ultra Short (DISCUS) (11-item), could be replicated in a sample of people with a wide range of mental disorders from 21 sites in 15 countries/territories, across six global regions. The frequency of experienced discrimination was reported. Scaling assumptions (confirmatory factor analysis, inter-item and item-total correlations), reliability (internal consistency) and validity (convergent validity, known groups method) were investigated in each region, and by diagnosis group.

RESULTS

1195 people participated. The most frequently reported experiences of discrimination were being shunned or avoided at work (48.7%) and discrimination in making or keeping friends (47.2%). Confirmatory factor analysis supported a unidimensional model across all six regions and five diagnosis groups. Convergent validity was confirmed in the total sample and within all regions [ Internalised Stigma of Mental Illness (ISMI-10): 0.28-0.67, stopping self: 0.54-0.72, stigma consciousness: -0.32-0.57], as was internal consistency reliability (α = 0.74-0.84). Known groups validity was established in the global sample with levels of experienced discrimination significantly higher for those experiencing higher depression [Patient Health Questionnaire (PHQ)-2: p < 0.001], lower mental wellbeing [Warwick-Edinburgh Well-being Scale (WEMWBS): p < 0.001], higher suicidal ideation [Beck Hopelessness Scale (BHS)-4: p < 0.001] and higher risk of suicidal behaviour [Suicidal Ideation Attributes Scale (SIDAS): p < 0.001].

CONCLUSIONS

The DISCUS is a reliable and valid unidimensional measure of experienced discrimination for use in global settings with similar properties to the longer DISC. It offers a brief assessment of experienced discrimination for use in clinical and research settings.

Adult abuse and poor prognosis in Taiwan, 2000-2015: a cohort study

BACKGROUND

To investigate the risk of poor prognosis regarding schizophrenic disorders, psychotic disorders, suicide, self-inflicted injury, and mortality after adult violence from 2000 to 2015 in Taiwan.

METHODS

This study used data from National Health Insurance Research Database (NHIRD) on outpatient, emergency, and inpatient visits for two million people enrolled in the National Health Insurance (NHI) from 2000 to 2015. The case study defined ICD-9 diagnosis code N code 995.8 (abused adult) or E code E960-E969 (homicide and intentional injury of another). It analyzed first-time violence in adults aged 18-64 years (study group). 1:4 ratio was matched with injury and non-violent patients (control group). The paired variables were sex, age (± 1 year), pre-exposure to the Charlson comorbidity index, and year of medical treatment. Statistical analysis was conducted using SAS 9.4 and Cox regression for data analysis.

RESULTS

In total, 8,726 individuals experienced violence (case group) while34,904 did not experienced violence (control group) over 15 years. The prevalence of poor prognosis among victims of violence was 25.4/10⁴, 31.3/10⁴, 10.5/10,⁴ and 104.6/10⁴ for schizophrenic disorders, psychotic disorders, suicide or self-inflicted injury and mortality, respectively. Among adults, the risks of suicide or self-inflicted injury, schizophrenic disorders, psychotic disorders, and mortality after exposure to violence (average 9 years) were 6.87-, 5.63-, 4.10-, and 2.50-times (p < 0.01), respectively, compared with those without violence. Among males, the risks were 5.66-, 3.85-, 3.59- and 2.51-times higher, respectively, than those without violence (p < 0.01), and they were 21.93-, 5.57-, 4.60- and 2.46-times higher than those without violence (p < 0.01) among females.

CONCLUSION

The risk of poor prognosis regarding schizophrenic disorders, psychotic disorders, suicide, or self-inflicted injury and mortality after adult violence was higher than in those who have not experienced a violent injury. Adults at the highest risk for violent suicide or self-inflicted injuries due to exposure to violent injuries -males were at risk for schizophrenia and females were at risk for suicide or self-inflicted injuries. Therefore, it is necessary for social workers and medical personnel to pay attention to the psychological status of victims of violence.

Mental illness concordance between hospital clinical records and mentions in domestic violence police narratives: Data linkage study (Preprint)

Background

To better understand domestic violence, data sources from multiple sectors such as police, justice, health, and welfare are needed. Linking police data to data collections from other agencies could provide unique insights and promote an all-of-government response to domestic violence. The New South Wales Police Force attends domestic violence events and records information in the form of both structured data and a free-text narrative, with the latter shown to be a rich source of information on the mental health status of persons of interest (POIs) and victims, abuse types, and sustained injuries.

Objective

This study aims to examine the concordance (ie, matching) between mental illness mentions extracted from the police’s event narratives and mental health diagnoses from hospital and emergency department records.

Methods

We applied a rule-based text mining method on 416,441 domestic violence police event narratives between December 2005 and January 2016 to identify mental illness mentions for POIs and victims. Using different window periods (1, 3, 6, and 12 months) before and after a domestic violence event, we linked the extracted mental illness mentions of victims and POIs to clinical records from the Emergency Department Data Collection and the Admitted Patient Data Collection in New South Wales, Australia using a unique identifier for each individual in the same cohort.

Results

Using a 2-year window period (ie, 12 months before and after the domestic violence event), less than 1% (3020/416,441, 0.73%) of events had a mental illness mention and also a corresponding hospital record. About 16% of domestic violence events for both POIs (382/2395, 15.95%) and victims (101/631, 16.01%) had an agreement between hospital records and police narrative mentions of mental illness. A total of 51,025/416,441 (12.25%) events for POIs and 14,802/416,441 (3.55%) events for victims had mental illness mentions in their narratives but no hospital record. Only 841 events for POIs and 919 events for victims had a documented hospital record within 48 hours of the domestic violence event.

Conclusions

Our findings suggest that current surveillance systems used to report on domestic violence may be enhanced by accessing rich information (ie, mental illness) contained in police text narratives, made available for both POIs and victims through the application of text mining. Additional insights can be gained by linkage to other health and welfare data collections.

Can natural language processing models extract and classify instances of interpersonal violence in mental healthcare electronic records: an applied evaluative study

OBJECTIVE

This paper evaluates the application of a natural language processing (NLP) model for extracting clinical text referring to interpersonal violence using electronic health records (EHRs) from a large mental healthcare provider.

DESIGN

A multidisciplinary team iteratively developed guidelines for annotating clinical text referring to violence. Keywords were used to generate a dataset which was annotated (ie, classified as affirmed, negated or irrelevant) for: presence of violence, patient status (ie, as perpetrator, witness and/or victim of violence) and violence type (domestic, physical and/or sexual). An NLP approach using a pretrained transformer model, BioBERT (Bidirectional Encoder Representations from Transformers for Biomedical Text Mining) was fine-tuned on the annotated dataset and evaluated using 10-fold cross-validation.

SETTING

We used the Clinical Records Interactive Search (CRIS) database, comprising over 500 000 de-identified EHRs of patients within the South London and Maudsley NHS Foundation Trust, a specialist mental healthcare provider serving an urban catchment area.

PARTICIPANTS

Searches of CRIS were carried out based on 17 predefined keywords. Randomly selected text fragments were taken from the results for each keyword, amounting to 3771 text fragments from the records of 2832 patients.

OUTCOME MEASURES

We estimated precision, recall and F1 score for each NLP model. We examined sociodemographic and clinical variables in patients giving rise to the text data, and frequencies for each annotated violence characteristic.

RESULTS

Binary classification models were developed for six labels (violence presence, perpetrator, victim, domestic, physical and sexual). Among annotations affirmed for the presence of any violence, 78% (1724) referred to physical violence, 61% (1350) referred to patients as perpetrator and 33% (731) to domestic violence. NLP models' precision ranged from 89% (perpetrator) to 98% (sexual); recall ranged from 89% (victim, perpetrator) to 97% (sexual).

CONCLUSIONS

State of the art NLP models can extract and classify clinical text on violence from EHRs at acceptable levels of scale, efficiency and accuracy.

Patient’s Experiences of Violence as Perpetrator: A Qualitative Study from Patients with Schizophrenia in Indonesia

BACKGROUND: Individuals with schizophrenia are at an increased risk for violence – limited study on exploring the experience of violence in patients with schizophrenia as a perpetrator. AIM: This research aimed to investigate the perception of violence as a perpetrator in Indonesia in patients with schizophrenia. METHODS: This study used phenomenology using a purposive sampling technique. A total of 40 patients were from the psychiatric ward of significant mental hospitals in West Java, Indonesia. The inclusion criteria for patients were the following: Age over 18 years old confirmed diagnosis with schizophrenia. Focus group discussion of patients comprised four groups. Each group consisted of tens of patients. RESULTS: The patient’s experiences as a perpetrator were categorized into six subthemes: Committing physical violence to family, quarreling with family, verbal abuse to family, a perpetrator of verbal violence to neighbors, expression of anger to object, and physical violence to nurse. CONCLUSION: The patient’s experiences of violence were not linear, but rather it was a complex experience of being a perpetrator, yet at the same time as of perpetrator violence. A staff training program to reduce patient violence is needed.

Vulnerabilidade social e transtornos mentais

A saúde mental representa parte essencial da vida das pessoas, podendo resultar no aumento da desigualdade de renda e de vulnerabilidade social. Assim, as relações entre saúde/doença mental e vulnerabilidade social incitam uma série de reflexões e de contextualizações para sua maior compreensão. Esta scoping review apresenta como objetivo mapear as produções científicas sobre as vulnerabilidades das pessoas com transtornos mentais em suas diferentes relações sociais. Divide-se em cinco etapas, com buscas nas bases de dados: MEDLINE via Pubmed; SCOPUS e Academic Search Premier, e busca nas referências dos artigos encontrados, a fim de responder à questão de pesquisa: “Como ocorre à vulnerabilidade das pessoas com transtorno mental em suas diferentes relações sociais?”. Foram encontrados 211 artigos e após as exclusões de estudos não pertinentes, foram incluídos 31 artigos. Os artigos foram organizados em 3 (três) categorias: 1 – a vulnerabilidade das pessoas com transtornos mentais e os serviços de saúde; 2 – a vulnerabilidade das pessoas com transtornos mentais e os determinantes sociais; e 3 – a vulnerabilidade das pessoas com transtornos mentais e a violência/vitimização. Dessa forma, sugere-se o desenvolvimento de mais estudos sobre a temática, assim como a reavaliação das políticas públicas voltadas às pessoas com transtornos mentais, no intuito de se tornarem mais eficazes, tanto na garantia dos direitos desse grupo como na manutenção de sua saúde mental.

Utilizing Text Mining, Data Linkage and Deep Learning in Police and Health Records to Predict Future Offenses in Family and Domestic Violence

Family and Domestic violence (FDV) is a global problem with significant social, economic, and health consequences for victims including increased health care costs, mental trauma, and social stigmatization. In Australia, the estimated annual cost of FDV is $22 billion, with one woman being murdered by a current or former partner every week. Despite this, tools that can predict future FDV based on the features of the person of interest (POI) and victim are lacking. The New South Wales Police Force attends thousands of FDV events each year and records details as fixed fields (e.g., demographic information for individuals involved in the event) and as text narratives which describe abuse types, victim injuries, threats, including the mental health status for POIs and victims. This information within the narratives is mostly untapped for research and reporting purposes. After applying a text mining methodology to extract information from 492,393 FDV event narratives (abuse types, victim injuries, mental illness mentions), we linked these characteristics with the respective fixed fields and with actual mental health diagnoses obtained from the NSW Ministry of Health for the same cohort to form a comprehensive FDV dataset. These data were input into five deep learning models (MLP, LSTM, Bi-LSTM, Bi-GRU, BERT) to predict three FDV offense types ("hands-on," "hands-off," "Apprehended Domestic Violence Order (ADVO) breach"). The transformer model with BERT embeddings returned the best performance (69.00% accuracy; 66.76% ROC) for "ADVO breach" in a multilabel classification setup while the binary classification setup generated similar results. "Hands-off" offenses proved the hardest offense type to predict (60.72% accuracy; 57.86% ROC using BERT) but showed potential to improve with fine-tuning of binary classification setups. "Hands-on" offenses benefitted least from the contextual information gained through BERT embeddings in which MLP with categorical embeddings outperformed it in three out of four metrics (65.95% accuracy; 78.03% F1-score; 70.00% precision). The encouraging results indicate that future FDV offenses can be predicted using deep learning on a large corpus of police and health data. Incorporating additional data sources will likely increase the performance which can assist those working on FDV and law enforcement to improve outcomes and better manage FDV events.

Mediators of the association between psychotic experiences and future non-suicidal self-injury and suicide attempts: results from a three-wave, prospective adolescent cohort study

Psychotic experiences (PEs) are robustly associated with subsequent non-suicidal self-injury (NSSI) and suicide attempts, but questions remain as to the temporal relation and underlying cause of this association. Most investigations have incorporated only two waves of data, and no study has comprehensively investigated mediating pathways. This study aimed to investigate both the PE-NSSI and PE-suicide attempt association, and their relevant mediators, across three waves of prospective data. Participants were from an Australian prospective longitudinal cohort of 1100 adolescents (12-17 years); data were collected at three time points over 2 years. NSSI and suicide attempts were measured using the Self-Harm Behaviour Questionnaire. Items from the Diagnostic Interview Schedule for Children were used to assess four PE subtypes (auditory hallucinatory experiences [HEs] and three delusional experiences). Potential mediators of interest included: psychological distress, self-reported mental disorders, self-esteem, recent traumatic life events (e.g. bullying, sexual assault), emotion regulation, and impulsivity/other personality traits. Analyses were adjusted for sociodemographics and substance use. Auditory HEs were indirectly associated with future NSSI and suicide attempts via recent traumatic life events, high psychological distress, and low self-esteem, across three waves of data. Other PE subtypes were generally not associated with incident NSSI/suicide attempts at 1- and 2-year follow-up, either directly or indirectly. These findings highlight the importance of screening for auditory HEs when assessing a young person's self-harm/suicide risk. Clinical assessment would be further enhanced by a comprehensive review of recent interpersonal traumatic events, as well as levels of self-esteem and distress.

The Mental Health Effects of Cumulative Lifetime Violence in Men: Disruptions in the Capacity to Connect with Others and Finding Ways to Reengage

We report qualitative findings of our Men's Violence Gender and Health Study, a multiple method study using a sequential design in which we explored the mental health manifestations of cumulative lifetime violence in men. Survey results revealed that higher cumulative lifetime violence scores were significantly associated with higher scores on depression, post-traumatic stress disorder, and anxiety in a community sample of men (n = 685) living in Eastern Canada. To obtain a deeper understanding of men's scores, we used an interpretive description approach to analyze data derived from 32 participant interviews. The main mental health manifestation of cumulative lifetime violence is perceptual interference, a sense of being disconnected or detached from others. This is managed by rectifying detachment, a process that includes efforts to gain connections with others. Findings suggest mental health needs in men with cumulative lifetime violence contradict gender role expectations to be stoic. Implications for nurses are explored.

Surveillance of Domestic Violence Using Text Mining Outputs From Australian Police Records

In Australia, domestic violence reports are mostly based on data from the police, courts, hospitals, and ad hoc surveys. However, gaps exist in reporting information such as victim injuries, mental health status and abuse types. The police record details of domestic violence events as structured information (e.g., gender, postcode, ethnicity), but also in text narratives describing other details such as injuries, substance use, and mental health status. However, the voluminous nature of the narratives has prevented their use for surveillance purposes. We used a validated text mining methodology on 492,393 police-attended domestic violence event narratives from 2005 to 2016 to extract mental health mentions on persons of interest (POIs) (individuals suspected/charged with a domestic violence offense) and victims, abuse types, and victim injuries. A significant increase was observed in events that recorded an injury type (28.3% in 2005 to 35.6% in 2016). The pattern of injury and abuse types differed between male and female victims with male victims more likely to be punched and to experience cuts and bleeding and female victims more likely to be grabbed and pushed and have bruises. The four most common mental illnesses (alcohol abuse, bipolar disorder, depression schizophrenia) were the same in male and female POIs. An increase from 5.0% in 2005 to 24.3% in 2016 was observed in the proportion of events with a reported mental illness with an increase between 2005 and 2016 in depression among female victims. These findings demonstrate that extracting information from police narratives can provide novel insights into domestic violence patterns including confounding factors (e.g., mental illness) and thus enable policy responses to address this significant public health problem.

Prevalence of Mental Illnesses in Domestic Violence Police Records: Text Mining Study

Background

The New South Wales Police Force (NSWPF) records details of significant numbers of domestic violence (DV) events they attend each year as both structured quantitative data and unstructured free text. Accessing information contained in the free text such as the victim’s and persons of interest (POI's) mental health status could be useful in the better management of DV events attended by the police and thus improve health, justice, and social outcomes.

Objective

The aim of this study is to present the prevalence of extracted mental illness mentions for POIs and victims in police-recorded DV events.

Methods

We applied a knowledge-driven text mining method to recognize mental illness mentions for victims and POIs from police-recorded DV events.

Results

In 416,441 police-recorded DV events with single POIs and single victims, we identified 64,587 events (15.51%) with at least one mental illness mention versus 4295 (1.03%) recorded in the structured fixed fields. Two-thirds (67,582/85,880, 78.69%) of mental illnesses were associated with POIs versus 21.30% (18,298/85,880) with victims; depression was the most common condition in both victims (2822/12,589, 22.42%) and POIs (7496/39,269, 19.01%). Mental illnesses were most common among POIs aged 0-14 years (623/1612, 38.65%) and in victims aged over 65 years (1227/22,873, 5.36%).

Conclusions

A wealth of mental illness information exists within police-recorded DV events that can be extracted using text mining. The results showed mood-related illnesses were the most common in both victims and POIs. Further investigation is required to determine the reliability of the mental illness mentions against sources of diagnostic information.

Association of prior depressive symptoms and suicide attempts with subsequent victimization: analysis of population-based data from the Adult Psychiatric Morbidity Survey

Background:

Symptoms of mental disorder, particularly schizophrenia, predispose to victimization. Much less is known about the relationship between depressive symptoms and later victimization in the general population, the influence of these symptoms on types of subsequent victimization, or the role of symptom severity. We investigated this in nationally representative data from the United Kingdom.

Methods:

Data were from the Adult Psychiatric Morbidity Survey 2007. Multivariable logistic regressions estimated association between (a) prior depressive symptoms, (b) prior depressive symptoms with suicide attempt, and types of more recent victimization. Gender-specific associations were estimated using multiplicative interactions.

Results:

Prior depressive symptoms were associated with greater odds of any recent intimate partner violence (IPV), emotional IPV, sexual victimization, workplace victimization, any victimization, and cumulative victimization (adjusted odds ratio [aOR] for increasing types of recent victimization: 1.47, 95% confidence interval [CI]: 1.14, 1.89). Prior depressive symptoms with suicide attempt were associated with any recent IPV, emotional IPV, any victimization, and cumulative victimization (aOR for increasing types of recent victimization: 2.33, 95% CI: 1.22, 4.44). Self reported recalled data on previous depressive symptoms may have limited accuracy. Small numbers of outcomes for some comparisons results in imprecision of these estimates.

Conclusions:

Aside from severe mental illness such as schizophrenia, previous depressive symptoms in the general population are associated with greater subsequent victimization. Men and women with prior depressive symptoms may be vulnerable to a range of types of victimization, and may benefit from interventions to reduce this vulnerability.

Victimization of People With Severe Mental Illness Outside and Within the Mental Health Care System: Results on Prevalence and Risk Factors From a Multicenter Study

We performed a cross-sectional study using a self-reporting survey to assess lifetime violent and non-violent victimization in people with severe mental illness experienced both inside (i.e., any service providing mental health care such as psychiatric hospitals, psychosocial rehabilitative programs, or outpatient care) and outside (i.e., in the personal life of the participants) of the mental health care system. We recruited 170 participants from 20 community mental health facilities. We built logistic regression models to assess potential risk factors for victimization inside the mental health care system. Outside of the mental health care system, the most commonly reported events were theft (n=93, 54.7%), physical violence without use of a weapon (n=87, 51.2%), and sexual harassment (n=82, 50.6%). Within the mental health care system, most commonly reported incidents were theft (n=68, 40.0%), sexual assault (n=18, 10.6%), and physical violence (n=47, 27.7%) by other patients or staff. Significant risk factors for specific victimization events inside the mental health care system were psychotic disorder, victimization in childhood and youth, female gender, number of hospitalizations, and duration of illness. Findings call for increased attention to victimization of people with severe mental illness, especially within the mental health care system as such victimization events may severely impact patients' trajectories.

Prevalence of mental disorders among all justice-involved: A population-level study in Canada

More than 10 million people are imprisoned around the world, with many more who encounter the justice system. However, most studies examining the mental health burden in the justice system have examined only incarcerated individuals, with few looking at both criminal offending and victimization at the population-level. This study aimed to describe the population-level prevalence of mental disorders among the entirety of justice-involved individuals in a Canadian sample. The study was conducted using linked health and justice administrative data for all residents of Manitoba, Canada ages 18-64 between April 1, 2007 and March 31, 2012. All justice involvement (crime accusations and victimizations) and inpatient and outpatient mental disorder diagnoses (mood/anxiety, substance use, psychotic, personality disorders and suicidal behavior) were retrieved. Five-year age- and sex-adjusted prevalence of mental disorders and suicidal behaviour among those with any crime accusation and any victimization were compared to the general population of Manitoba. The study found that age- and sex-adjusted prevalence of any mental disorder was significantly higher among both adults accused of a crime and those victimized (38.9% and 38.6%, respectively) compared to the general population (26.1%). Rate ratios for specific mental disorders and suicidal behaviour were 1.4-3.6 among those accused of a crime, and 1.4-3.7 among those who were victims, compared to the general population. These findings highlight the need for urgent and expanded attention to this intersection of vulnerability. Victimization is especially an area of justice-related health that requires more attention.