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

Bhavsar, Vishal; Dean, Kimberlie; Hatch, Stephani L.; MacCabe, James H.; Hotopf, Matthew

doi:10.1017/s2045796018000537

Cited by 29 publications

(24 citation statements)

References 74 publications

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“…The covariates and main explanatory variables remained the same. Based on our conceptual understanding, findings in previous literature, and exclusion of multicollinearity through Pearson’s correlation coefficient, we included the following as covariates in each of the models: age, gender, and living situation to reflect sociodemographic status; psychotic and substance use disorder as known risk factors for victimization compared to other diagnoses ( 2 , 22 ); victimization in childhood and youth as known risk factor for victimization across the lifespan ( 1 , 16 – 19 ); and finally, duration of illness and number of hospitalizations. We considered temporality between the experiences outside and those within the mental health care setting by only including observations of cases where at least one occurrence of victimization outside the mental health care system preceded the first hospitalization.…”

Section: Methodsmentioning

confidence: 99%

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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

Rossa-Roccor

Schmid²,

Steinert³

2020

Front. Psychiatry

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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. Keywords: victimization in psychiatry, risk factors for violence in mental health care system, illegal offences against patients, violence in mental health care system, patients as victims

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Section: Methodsmentioning

confidence: 99%

“…People with a mental health disorder have a significantly higher risk of becoming victims of violence compared to the general population (1)(2)(3)(4)(5)(6). Previous research has focused largely on violent crimes such as physical assault, aggravated acquisitive crimes, violent threats, and sexual offenses in this population.…”

Section: Introductionmentioning

confidence: 99%

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

Rossa-Roccor

Schmid²,

Steinert³

2020

Front. Psychiatry

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“…Associations have been found between mental health conditions (eg, bipolar disorder, schizophrenia) and the perpetration of violence toward others fueling perceptions that label these individuals as dangerous , leading to the stigmatization of this group [ 13 - 19 ]. Increasing evidence suggests that people with mental illness and psychiatric symptoms, however, are at a greater risk of victimization when compared to those without such symptoms [ 3 , 8 , 12 , 13 , 20 - 22 ]. Women with disabilities, including those with chronic mental or emotional conditions, experience higher rates of violent victimization than men with disabilities and women in the general population [ 23 ].…”

Section: Introductionmentioning

confidence: 99%

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

Karystianis¹,

Simpson²,

Adily³

et al. 2020

J Med Internet Res

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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.

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“…It is possible therefore that any greater likelihood of workplace victimization experienced by people with previous depressive symptoms is less than that for IPV, because of the association of depressive symptoms with greater work absence. Epidemiological studies on victimization in mental illness have examined birth cohorts (therefore, only including individuals of a specific age) [16,17], household surveys of urban settings [18], and clinical samples [19], but have rarely evaluated nationally representative data on depressive symptoms [20].…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2020

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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.

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

Cited by 29 publications

References 74 publications

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

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

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

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

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