Experiencing discrimination mediates the relationship between victimization and social withdrawal in patients suffering from a severe mental illness:A cross-sectional study

Psychiatric patients are often victims of crime and discrimination and are often socially withdrawn. This has negative consequences for their health and recovery. We examined whether such discrimination mediates the association between victimization and social withdrawal, and whether these associations differ between men and women. We also determined the prevalence of social withdrawal and the discrimination experienced by patients suffering from a severe mental illness. This study is embedded in the Victimization in Psychiatric Patients study. Information on discrimination, social withdrawal and victimization was obtained using structured self-report questionnaires (N = 949). We reported the 12-month prevalence of these phenomena and used path analysis to estimate the direct path between personal and property victimization and social withdrawal, and the indirect path through the discrimination experienced. The impact of gender was assessed by testing interaction terms. Social withdrawal was reported by 20.6% (95%CI 18.1–23.2) of participants, and being discriminated against in the past 12 months by 75.3% (95%CI: 72.6–78.0%). While crime victimization had no direct effects on social withdrawal, personal crime victimization (B = 0.47; 95%CI 0.25-0.72; p < 0.001) and property crime victimization (B = 0.65; 95%CI 0.42-0.93; p < 0.001) had significant indirect effects on social withdrawal, which were mediated by the discrimination experienced. In men we found a direct negative effect of property crime on social withdrawal (B = -0.68; 95%CI: −1.21to −0.11, p = 0.014). We conclude that personal and property victimization, for both men and women, was associated with higher levels of social withdrawal, and this was fully mediated by the discrimination experienced

Five-year follow-up of the iBerry Study:screening in early adolescence to identify those at risk of psychopathology in emerging adulthood

The iBerry Study, a Dutch population-based high-risk cohort (n = 1022) examines the transition from subclinical symptoms to psychiatric disorders in adolescents. Here, we present the first follow-up measurement, approximately 3 years after baseline assessment and 5 years after the screening based on self-reported emotional and behavioral problems (SDQ-Y). We give an update on the data collection, details on the (non)response, and the results on psychopathology outcomes. The first follow-up (2019–2022) had a response rate of 79% (n = 807). Our results at baseline (mean age 15.0 years) have shown the effectiveness of using the SDQ-Y to select a cohort oversampled for the risk of psychopathology. At first follow-up (mean age 18.1 years), the previously administered SDQ-Y remains predictive for selecting adolescents at risk. At follow-up, 47% of the high-risk adolescents showed significant mental health problems based on self- and parent reports and 46% of the high-risk adolescents met the criteria for multiple DSM-5 diagnoses. Compared to low-risk adolescents, high-risk adolescents had a sevenfold higher odds of significant emotional and behavioral problems at follow-up. Comprehensive assessment on psychopathology, substance abuse, psychotic symptoms, suicidality, nonsuicidal self-injury, addiction to social media and/or video gaming, and delinquency, as well as social development, and the utilization of healthcare and social services were conducted. This wave, as well as the ones to follow, track these adolescents into their young adulthood to identify risk factors, elucidate causal mechanisms, and discern pathways leading to both common and severe mental disorders. Results from the iBerry Study will provide leads for preventive interventions.</p

Five-year follow-up of the iBerry Study:screening in early adolescence to identify those at risk of psychopathology in emerging adulthood

The iBerry Study, a Dutch population-based high-risk cohort (n = 1022) examines the transition from subclinical symptoms to psychiatric disorders in adolescents. Here, we present the first follow-up measurement, approximately 3 years after baseline assessment and 5 years after the screening based on self-reported emotional and behavioral problems (SDQ-Y). We give an update on the data collection, details on the (non)response, and the results on psychopathology outcomes. The first follow-up (2019–2022) had a response rate of 79% (n = 807). Our results at baseline (mean age 15.0 years) have shown the effectiveness of using the SDQ-Y to select a cohort oversampled for the risk of psychopathology. At first follow-up (mean age 18.1 years), the previously administered SDQ-Y remains predictive for selecting adolescents at risk. At follow-up, 47% of the high-risk adolescents showed significant mental health problems based on self- and parent reports and 46% of the high-risk adolescents met the criteria for multiple DSM-5 diagnoses. Compared to low-risk adolescents, high-risk adolescents had a sevenfold higher odds of significant emotional and behavioral problems at follow-up. Comprehensive assessment on psychopathology, substance abuse, psychotic symptoms, suicidality, nonsuicidal self-injury, addiction to social media and/or video gaming, and delinquency, as well as social development, and the utilization of healthcare and social services were conducted. This wave, as well as the ones to follow, track these adolescents into their young adulthood to identify risk factors, elucidate causal mechanisms, and discern pathways leading to both common and severe mental disorders. Results from the iBerry Study will provide leads for preventive interventions.</p

Determinants of victimization in patients with severe mental illness:Results from a nation-wide cross-sectional survey in the Netherlands

We aimed to examine determinants of criminal victimization (i.e. both personal and property crime victimization) in outpatients with severe mental illness. Data was collected using a multisite epidemiological survey including a random sample of 956 adult outpatients with SMI. Data on 12-month victimization prevalence and frequency were obtained using the victimization scale of the Dutch Crime and Victimization Survey. Demographic characteristics, clinical diagnosis, psychosocial functioning, drug use and alcohol abuse over the past 12 months, co-morbid PTSD diagnosis, physical abuse, physical neglect and sexual abuse in childhood, perpetration of violence over the past 12-months, and anger disposition were assessed as determinants. Univariable and multivariable hurdle regression analyses were conducted to test associations of the potential determinants with victimization prevalence and frequency. We found that different sets of demographic and clinical characteristics were associated with personal and property crime victimization. Clinical characteristics were more pronounced regarding personal crime victimization. In the multivariable model, presence of psychotic disorder, drug use, childhood physical and sexual abuse, and recent violent perpetration were associated with the 12-month prevalence or frequency rate of personal crime victimization. Native Dutch and divorced patients were more at risk as well. Next to this being employed, poor social functioning, having perpetrated a violent crime, as well as alcohol abuse and recent drug use were all significantly related to property crime prevalence or frequency rate in the multivariable model.<br/

Assessing the Acceptability, Feasibility and Sustainability of an Intervention to Increase Detection of Domestic Violence and Abuse in Patients Suffering From Severe Mental Illness: A Qualitative Study

Rationale: Despite interventions to improve detection rates, domestic violence, and abuse (DVA) remains largely undetected by healthcare services. We therefore aimed to examine the acceptability, feasibility, and sustainability of an intervention aiming to improve DVA detection rates, which included a clear referral pathway (i.e., the BRAVE intervention) and to explore the acceptability and feasibility of DVA management and referrals in general, in the context of low detection rates. Methods: Qualitative study design with four focus groups of 16 community mental health (CMH) clinicians from both control and intervention arms. The focus groups discussed managing DVA in clinical practice and staff experiences with the BRAVE intervention in particular. Focus groups continued until saturation of the subject was reached. Interviews were analyzed using a thematic analysis approach. Results: DVA was seen to be highly relevant to mental healthcare but is also a very sensitive subject. Barriers in CMH professionals, institutions, and society meant CMH professionals often refrained from asking about DVA in patients. Barriers included communication difficulties between CMH professionals and DVA professionals, a fear of disrupting the therapeutic alliance with the patient, and a lack of appropriate services to help victims of DVA. Conclusion: The BRAVE intervention was acceptable but not feasible or sustainable. Personal, institutional, and public barriers make it not feasible for CMH professionals to detect DVA in mental healthcare. To increase the detection of DVA, professional standards should be combined with training, feedback sessions with peers and DVA counselors, and routine enquiry about DVA

Childhood adversity and psychopathology:the dimensions of timing, type and chronicity in a population-based sample of high-risk adolescents

Background: Research on childhood adversity and psychopathology has begun investigating the dimension of timing, however the results have been contradictory depending on the study population, outcome and how adverse life events (ALEs) were operationalized. Additionally, studies so far typically focus only on a narrow range of psychiatric diagnoses or symptoms. The current cross-sectional study aimed to examine the association between timing, type and chronicity of ALEs and adolescent mental health problems. Methods: Adolescents from a population-based cohort oversampled on emotional and behavioral problems (mean age 14.8; range 12–17, N = 861) were included in the current analysis. Primary caregivers were interviewed on what ALEs adolescents experienced. ALEs were defined in two ways: (1) broad operationalization, including school difficulties, parental divorce, and family sickness; and (2) physically threatening abuse only, including physical and sexual violence. After looking at lifetime ALEs, we turned to chronicity, timing and sex differences. We focused on overall psychiatric symptoms as well as specific domains of emotional and behavioral problems, assessed using the Youth Self Report (YSR) and psychotic experiences assessed using the Prodromal Questionnaire-16 (PQ-16). A series of linear models adjusted for sociodemographic and parental factors were used. Results: Lifetime ALEs were associated with all types of psychopathology, with relatively bigger effect sizes for broad than for physical ALEs. The latter associations were found to be more robust to unmeasured confounding. The 9–12 age period of experiencing both broad and physical ALE’s was most saliently associated with any psychopathology. Girls were more at risk after experiencing any ALEs, especially if the adversity was chronic or ALEs took place after the age of 12. Conclusions: Broad as well as physical ALEs are associated with psychopathology, especially ALEs experienced during the 9–12 age period. Physical ALEs may be more useful in investigating specific etiological factors than broad ALEs. Sex differences may not emerge in lifetime measures of ALEs, but can be important for chronic and later childhood adversity.</p

Prevalence of adult sexual abuse in men with mental illness: Bayesian meta-analysis

Background Sexual abuse is a broad category of traumatic experiences that includes rape and any unwanted sexual contact with a body part or foreign object, whether penetrative, oral or otherwise. Although patients with mental illness have a higher risk of becoming victims of sexual abuse in adulthood, few studies investigate the proportion of male victims in this population. Their underrepresentation in research is a barrier to understanding the negative outcomes associated with sexual abuse in men. Aims We estimated the prevalence of recent (past year) and adulthood sexual abuse perpetrated by any perpetrator and separately by intimate partners in males diagnosed with a mental illness. Method To model the prevalences and heterogeneity arising from reports, we used Bayesian multilevel models. Prevalences were estimated for mixed-diagnosis, substance misuse, intellectual disability and post-traumatic stress disorder samples, and studies reporting specifically on intimate partner violence. This review was registered through PROSPERO (CRD42020169299) Results Estimated adult sexual abuse was 5.3% (95% Credibility Interval 1.6-12.8%) for past-year abuse and 14.1% (95% Credibility Interval 7.3-22.4%) for abuse in adulthood. There was considerable heterogeneity of prevalence between studies and diagnosis groups. Conclusions Our analyses show that the prevalence of sexual abuse of males diagnosed with a mental illness was much higher than for men in the general population. This has important implications regarding the proportion of undetected or untreated sexually abused men in clinical practice

Victimisation of individuals with serious mental illness living in sheltered housing:Differential impact of risk factors related to clinical and demographic characteristics

Background Sheltered housing is associated with quality-of-life improvements for individuals with serious mental illness (SMI). However, there are equivocal findings around safety outcomes related to this type of living condition. Aims We aimed to investigate raw differences in prevalence and incidence of crime victimisation in sheltered housing compared with living alone or with family; and to identify groups at high risk for victimisation, using demographic and clinical factors. We do so by reporting estimated victimisation incidents for each risk group. Method A large, community-based, cross-sectional survey of 956 people with SMI completed the Dutch Crime and Victimisation Survey. Data was collected on victimisation prevalence and number of incidents in the past year. Results Victimisation prevalence was highest among residents in sheltered housing (50.8%) compared with persons living alone (43%) or with family (37.8%). We found that sheltered housing was associated with increased raw victimisation incidence (incidence rate ratio: 2.80, 95% CI 2.36–3.34 compared with living with family; 1.87, 95% CI 1.59–2.20 compared with living alone). Incidence was especially high for some high-risk groups, including men, people with comorbid post-traumatic stress disorder and those with high levels of education. However, women reported less victimisation in sheltered housing than living alone or with family, if they also reported drug or alcohol use. Conclusions The high prevalence and incidence of victimisation among residents in sheltered housing highlights the need for more awareness and surveillance of victimisation in this population group, to better facilitate a recovery-enabling environment for residents with SMI

Experiencing discrimination mediates the relationship between victimization and social withdrawal in patients suffering from a severe mental illness: A cross-sectional study

Psychiatric patients are often victims of crime and discrimination and are often socially withdrawn. This has negative consequences for their health and recovery. We examined whether such discrimination mediates the association between victimization and social withdrawal, and whether these associations differ between men and women. We also determined the prevalence of social withdrawal and the discrimination experienced by patients suffering from a severe mental illness. This study is embedded in the Victimization in Psychiatric Patients study. Information on discrimination, social withdrawal and victimization was obtained using structured self-report questionnaires (N = 949). We reported the 12-month prevalence of these phenomena and used path analysis to estimate the direct path between personal and property victimization and social withdrawal, and the indirect path through the discrimination experienced. The impact of gender was assessed by testing interaction terms. Social withdrawal was reported by 20.6% (95%CI 18.1–23.2) of participants, and being discriminated against in the past 12 months by 75.3% (95%CI: 72.6–78.0%). While crime victimization had no direct effects on social withdrawal, personal crime victimization (B = 0.47; 95%CI 0.25-0.72; p < 0.001) and property crime victimization (B = 0.65; 95%CI 0.42-0.93; p < 0.001) had significant indirect effects on social withdrawal, which were mediated by the discrimination experienced. In men we found a direct negative effect of property crime on social withdrawal (B = -0.68; 95%CI: −1.21to −0.11, p = 0.014). We conclude that personal and property victimization, for both men and women, was associated with higher levels of social withdrawal, and this was fully mediated by the discrimination experienced