Trends in violent offending among people with schizophrenia: A 10-year ecological study.

Violent offending committed by people with schizophrenia has been a public concern. The present study aims to examine the incidence of violent offending among people with schizophrenia and its correlations with mental health resources and economic factors. In this study, an examination of violent offending by people with schizophrenia and those identified as not criminally responsible on account of mental disorder (NCRMD) between 2010 and 2019 in China's Hunan province was undertaken. Principal component analysis (PCA) and regression analyses were used to explore the association of violent offending in people with schizophrenia and those identified as NCRMD with violent offending in the general population, mental health medical resources, and provincial GDP. Between 2010 and 2019, a total of 2,093 people with schizophrenia committed violent offending in Hunan province, including 1,374 (65.6%) cases identified as NCRMD. Over the period, the incidence of violent offending in people with schizophrenia and those identified as NCRMD has been decreasing. The incidences were positively correlated with the incidence of violent offending in the general population and negatively associated with mental health resources and provincial GDP. These findings may be valuable in helping to develop strategies for violence prevention and risk management for people with schizophrenia.

Determinants and outcomes of health-promoting lifestyle among people with schizophrenia.

BACKGROUND: Healthy lifestyle is an important protective factor of developing cardiovascular disease in people with schizophrenia. However, little is known about the determinants of lifestyle and its contribution to metabolic syndrome. This study aimed to explore the influencing factors of health-promoting lifestyle (HPL) and its association with metabolic syndrome among people with schizophrenia. METHODS: A cross-sectional study was conducted in twenty-two primary health centers of Guangzhou, China between December 2022 and April 2023. A total of 538 patients with schizophrenia were recruited through convenience sampling. Self-administered scales, questionnaires, and clinical data were collected. Scales and questionnaires included social-demographic information, Health-Promoting Lifestyles Profile (HPLP-C), UCLA Loneliness Scale (ULS), and International Physical Activity Questionnaire-Short Form (IPAQ-SF). Cluster analyses were used to divide participants into two groups based on the distribution characteristics of HPLP-C scores. Logistic regression models were used to identify factors associated with HPL and the association between HPL and metabolic syndrome. RESULTS: There were 271 participants in the high HPL group and 267 participants in the low HPL group. Logistic regression analysis revealed that loneliness posed a risk factor for high HPL, while high education and moderate-vigorous physical activity served as protective factors for high HPL. Low HPL was a risk factor for the prevalence of metabolic syndrome. CONCLUSIONS: Promotion of high education literacy and a physically active lifestyle should be priority targets in the health management of schizophrenia. Primary healthcare providers can play a pivotal role in assisting patients to mitigate metabolic syndrome by reinforcing healthy lifestyle strategies.

Relationship between work-family conflict and anxiety/depression among Chinese correctional officers: a moderated mediation model of burnout and resilience.

BACKGROUND: Correctional officers tend to have high levels of work-family conflict (WFC). WFC has been found associated with various forms of psychological distress and to affect the overall well-being of correctional officers. Burnout and resilience may affect the relationship between WFC and psychological distress, however, this association still remains unclear. This study aimed to examine the mediating effect of burnout on the relationship between WFC and anxiety/depression and the moderating role of resilience, within the context of correctional officers. METHODS: A cross-sectional online survey was conducted in China from October 2021 to January 2022. WFC, burnout, resilience, anxiety, and depression were evaluated using the Work-Family Conflict Scale (WFCS), Maslach Burnout Inventory-General Survey (MBI-GS), 10-item Connor-Davidson Resilience Scale (CD-RISC-10), and the Depression Anxiety Stress Scale (DASS). Mediation and moderation models were then tested using the PROCESS macro in SPSS, with burnout being a mediator and resilience playing a moderating role in the relationship between WFC and anxiety/depression. RESULTS: A total of 472 correctional officers were included. Burnout was found to mediate the relationship between WFC and anxiety (b = 0.14, 95%CI [0.10, 0.19]) and the relationship between WFC and depression (b = 0.23, 95%CI [0.18, 0.28]). Additionally, resilience played a moderating role in the direct effect of WFC on anxiety (b = - 0.02, p < 0.01) and the first half of the indirect effect of WFC on anxiety (b = - 0.007, p < 0.05). Furthermore, resilience was also found to moderate the first half of the indirect effect of WFC on depression (b = - 0.02, p < 0.01), but not the direct effect of WFC on depression (b = - 0.005, p > 0.05). CONCLUSION: The findings of the present study may improve our understanding by elucidating the fundamental mechanisms of the connection between WFC and psychological distress among correctional officers. The results have significant implications for policymakers and individuals, as they suggest that diverse interventions may help promote the mental well-being of correctional officers.

A network analysis of depressive symptoms, psychosocial factors, and suicidal ideation in 8686 adolescents aged 12-20 years.

Suicide has aroused global concern, and a better understanding of the complex interactions between suicide ideation and various psychopathological features is critical. We aimed to explore the complex interplays among adolescents. This study adopted a multistage stratified cluster sampling method and recruited adolescents aged 12 to 20 year-old from 8 middle and high schools between December 2020 and September 2021 in Guangzhou, China. We assessed loneliness, social support, bullying victimization, depressive symptoms, and suicidal ideation. We used network analysis to examine the network structure of the correlates of suicidal ideation and identify central symptoms and bridge symptoms. We used case-drop bootstrapping and correlation stability coefficients to examine the stability of the network. Among 8686 adolescents, 347 (4 %) adolescents reported suicidal ideation in the past two weeks. Network analyses identified 'hopeless', 'psychomotor', and 'failure' were the three strongest edges linked to suicidal ideation. The most central nodes were identified as 'hopeless' being the most central node, followed by loneliness and verbal bullying victimization, while sexual bullying victimization, sex, and relational bullying were the strongest bridging symptoms. The findings shed light on the complexity of associations of suicidal ideation and could provide insight into school-based suicide risk assessment and prevention for adolescents.

A clinical risk prediction tool for identifying the risk of violent offending in severe mental illness: A retrospective case-control study.

BACKGROUND: Individuals with severe mental illness are at a higher risk of violence than the general population. However, there is a lack of available and simple tools to screen for the risk of violent offending in clinical settings. We aimed to develop an easy-to-use predictive tool to assist clinicians' decision-making to identify risk of violent offences in China. METHODS: We identified 1157 patients with severe mental illness who committed violent offending and 1304 patients who were not suspected of violent offending in the matched living areas. We used stepwise regression and Lasso's method to screen for predictors, built a multivariate logistic regression model, and performed internal validation with the 10- fold cross-validation to develop the final prediction model. RESULTS: The risk prediction model for violence in severe mental illness included age (beta coefficient (b) = 0.05), male sex (b = 2.03), education (b = 1.14), living in rural areas (b = 1.21), history of homeless (b = 0.62), history of previous aggression (b = 1.56), parental history of mental illness (b = 0.69), diagnosis of schizophrenia (b = 1.36), episodes (b = -2.23), duration of illness (b = 0.01). The area under curve for the predictive model for the risk of violence in severe mental illness was 0.93 (95% CI: 0.92-0.94). CONCLUSIONS: In this study, we developed a predictive tool for violent offending in severe mental illness, containing 10 items that can be easily used by healthcare practitioners. The model was internally validated and has the potential for assessing the risk of violence in patients with severe mental illness in community routine care, although external validation is necessary.

Abnormalities in electroencephalographic microstates among violent patients with schizophrenia.

Schizophrenia is often associated with a remarkably increased risk of violence, which has become a public health concern and brought a great economic burden. Recent studies have reported changes in the electroencephalograms (EEG) of patients with schizophrenia. The evidence for an association between EEG and violence in patients with schizophrenia is not conclusive. This study aimed to investigate EEG microstates in violent patients with schizophrenia. Forty-three violent patients with schizophrenia (the VS group) and 51 non-violent patients with schizophrenia (the NVS group) were included, and their EEG microstates were recorded using 21-Channel EEG recordings. The two groups were compared for differences of four microstate classes (A-D) with regards to three microstate parameters (duration, occurrence, and coverage). Compared with the NVS group, the VS group exhibited increased duration, occurrence, and coverage of microstate class A and decreased occurrence of microstate class B. The VS group also had lower probabilities of transitions from "B to C" and from "C to B", as compared with the NVS group. In addition, the MOAS score was positively correlated with the duration, occurrence, and coverage of microstate A. The present study found an abnormal pattern of EEG microstates in violent patients with schizophrenia, which might help clinicians identify patients with schizophrenia who might engaged in violence as well as develop intervention strategies at an early stage.

The Usability, Feasibility, Acceptability, and Efficacy of Digital Mental Health Services in the COVID-19 Pandemic: Scoping Review, Systematic Review, and Meta-analysis.

BACKGROUND: After the rapid spread of the novel SARS-CoV-2, the short-term and long-term mental health impacts of the pandemic on the public, in particular on susceptible individuals, have been reported worldwide. Although digital mental health services expand accessibility while removing many barriers to in-person therapy, their usability, feasibility, acceptability, and efficacy require continued monitoring during the initial phase of the pandemic and its aftermath. OBJECTIVE: In this study, we aimed to understand what mental health services are offered, whether they are practical or acceptable, and to what extent digital mental health services are effective in response to the COVID-19 pandemic across high-income and low- and middle-income countries. METHODS: This study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and the PRISMA Extension for Scoping Reviews (PRISMA-ScR) guideline. We implemented searches in PubMed (MEDLINE), Embase, PsycINFO, and Cochrane databases for studies that were published between December 2019 and November 2021 and that involved the use of digital mental health services. Two review authors screened, assessed, and extracted studies independently. The protocol was registered on the International Prospective Register of Systematic Reviews. RESULTS: This review identified 7506 articles through database searching. In total, 65 (0.9%) studies from 18 countries with 67,884 participants were eligible for the scoping review. Of the 65 studies, 16 (24.6%) were included in the meta-analysis. A total of 15 (23.1%) studies measured the usability; 31 (47.7%) studies evaluated the feasibility; 29 (44.6%) studies assessed the acceptability; and 51 (78.5%) studies assessed the efficacy. Web-based programs (21/65, 32.3%), videoconferencing platforms (16/65, 24.6%), smartphone apps (14/65, 21.5%), and SMS text messaging (5/65, 7.7%) were the main techniques. Psychotherapy (44/65, 67.7%) followed by psychoeducation (6/65, 9.2%) and psychological support (5/65, 7.7%) were commonly used. The results of the meta-analysis showed that digital mental health interventions were associated with a small reduction in depressive symptoms (standardized mean difference=-0.49; 95% CI -0.74 to -0.24; P<.001) and a moderate reduction in anxiety symptoms (standardized mean difference=-0.66; 95% CI -1.23 to -1.0; P=.02) significantly. CONCLUSIONS: The findings suggest that digital mental health interventions may be practical and helpful for the general population, at-risk individuals, and patients with preexisting mental disorders across high-income and middle-income countries. An expanded research agenda is needed to apply different strategies for addressing diverse psychological needs and develop integrated mental health services in the post-COVID-19 era. TRIAL REGISTRATION: PROSPERO CRD42022307695; https://tinyurl.com/2jcuwjym.

The association of childhood adversities and mental health problems with dual-harm in individuals with serious aggressive behaviors.

BACKGROUND: The coexistence of self-harm and aggression, which is referred to as dual-harm, is commonly seen in forensic population. Self-harm and aggression have often been studied separately, previous studies on risk factors of aggression or self-harm mainly focused on childhood adversities, emotional regulation, impulsivity and psychopathology, given their importance in the two behaviors. However, the factors associated with dual-harm remain unclear. This study aimed to explore potential risk factors associated with co-occurring self-harm among individuals with serious aggressive behaviors. METHODS: This multi-center, cross-sectional case-control study was conducted from May 2013 to January 2016 and involved seven qualified forensic institutes located in seven provinces in China. Participants were individuals with serious aggressive behaviors and were suspected to have mental disorders. Lifetime history of self-harm was obtained by a self-report questionnaire, and serious aggressive behaviors were assessed with the use of participants' forensic archive. Sociodemographic and clinical information were collected using a self-designed standardized data collection form, and childhood adversities was assessed using a clinician-rated scale designed by our research team. The Psychopathy Checklist-Revised (PCL-R) was used to assess psychopathic traits and the Brief Psychiatric Rating Scale (BPRS) was used to assess psychiatric symptoms of the participants. Univariate and multivariate logistic regression analyses were performed to analyze the relevant factors for dual-harm. RESULTS: A total of 423 individuals with serious aggressive behaviors were enrolled in the current study. Of them, 74 (17.5%) with self-harm history assigned into the dual-harm group (D-H) and 349 (82.5%) without self-harm history assigned into the aggression-only group (A-O). According to the binary logistic regression analysis, current diagnosis of mood disorder (OR = 3.2, 95%CI: 1.2-8.5), child abuse (OR = 2.8, 95%CI: 1.3-6.2), parental death (OR = 3.0, 95%CI: 1.2-7.5), and the score of the affective subscale in BPRS (OR = 1.7, 95%CI: 1.3-2.4) were significantly associated with dual-harm. CONCLUSIONS: Our study suggested the necessity of integrated evaluation of self-harm among individuals with serious aggressive behaviors. Childhood adversities and psychiatric symptoms in this population require special attention.

Correlates of Presence and Remission of Post-trauma Stress Disorder in Incarcerated Women: A Case-Control Study Design.

Women in prison are vulnerable to post-trauma stress disorder (PTSD). However, little is known about the presence of PTSD in imprisoned women or of the natural course of that disorder. The purpose of this study was to assess the risk factors for PTSD in incarcerated women and document correlations of remission. We conducted a retrospective case-control study in the Female Prison of Hunan Province, China. Participants were screened for PTSD and depression using the Chinese version of the MINI International Neuropsychiatric Interview (MINI) 5.0. Of the 2,322 women screened, 220 met the criterion for PTSD on admission. Remission (N = 142) and non-remission PTSD (N = 78) were then separated depending on current PTSD status. History of drug use (OR = 0.43, 95% CI: 0.28-0.66, p < 0.001) and violent offense (OR = 1.56, 95% CI: 1.17-2.09, p < 0.001) were associated with the presence of PTSD. Positive associations with remission were found for longer length of sentence (61-120 vs. 13-60 months) (OR = 4.20, 95% CI: 1.50-11.75, p = 0.006), violent offense (OR = 2.50, 95% CI: 1.12-5.60, p = 0.03), and comorbid depression (OR = 29.69, 95% CI: 3.50-251.78, p = 0.002); while a negative correlate was identified for past depression (OR = 0.24, 95% CI: 0.11-0.53, p < 0.001). Although some incarcerated women with PTSD can spontaneously remit, this study suggested certain criminological and clinical risk factors are associated with the presence of PTSD and others with remission over time. Timely screening and effective intervention should be tailored for individuals with PTSD in prisons.

Identification of violent patients with schizophrenia using a hybrid machine learning approach at the individual level.

Despite numerous risk factors associated with violence in patients with schizophrenia, predicting and preventing violent behavior is still a challenge. At present, machine learning (ML) has become a promising strategy for guiding individualized assessment. To build an effective model to predict the risk of violence in patients with schizophrenia, we proposed a hybrid ML method to improve the prediction capability in 42 violent offenders with schizophrenia and 33 non-violent patients with schizophrenia. The results revealed that the final model, which combined multimodal data, achieved the highest prediction performance with an accuracy of 90.67%. Specifically, the model, which fused three modalities of neuroimaging data, achieved a better accuracy than other fused models. In addition, the msot discriminative neuroimaging features involved in the prefrontal-temporal cognitive circuit and striatum reward system, indicating that dysfunction in cortical-subcortical circuits might be associated with high risk of violence in patients with schizophrenia. This study provides the first evidence supporting that the combination of specific multimodal neuroimaging and clinical data in ML analysis can effectively identify violent patients with schizophrenia. Furthermore, this work is crucial for the development of neuro-prediction models that could facilitate individualized treatment and interventions for violent behaviors in patients with schizophrenia.

Self-Harm History, Anxiety-Depression, Severity of Disease, and Insight Are Significantly Associated With Suicide Risk in Forensic Psychiatric Inpatients of China.

Background: Forensic psychiatric patients have higher suicide risk than the general population. This study aimed to evaluate the extent of suicide risk and to explore the associated factors in forensic psychiatric inpatients in China. Methods: We conducted a cross-sectional study from 1st November, 2018 to 30th January, 2019 in the Forensic Psychiatric Hospital of Hunan Province, China. Patient's information on socio-demographic, clinical, and criminological characteristics was collected. The suicidality subscale of the MINI-International Neuropsychiatric Interview (M.I.N.I.), the Brief Psychiatric Rating Scale (BPRS), and the Severity of Illness of Clinical Global Impressions Scale (CGI-SI) were used to measure present suicide risks, psychiatric symptoms, and the severity of the patient's disease, respectively. Binary logistic regression models were used to examine factors associated with suicide risk. Results: Twenty-one percent (84/408) of the forensic psychiatric inpatients reported suicide risk. Logistic regression analysis suggested that self-harm history (OR:3.47, 95% confidence interval CI: 1.45-8.33), symptoms of anxiety-depression (OR:1.15, 95% CI:1.04-1.27), and more severe mental disorder (OR:1.42, 95% CI:1.08-1.87) were associated with elevated suicide risk, while insight disorder (OR:0.81, 95% CI:0.65-0.99) was related to decreasing suicide risk. Conclusion: The study supplied useful clinical information to recognize high suicide risk in forensic psychiatric inpatients and may aid the development of valuable strategies for preventing and reducing suicide events.

Assessment of violence risk in 440 psychiatric patients in China: examining the feasibility and acceptability of a novel and scalable approach (FoVOx).

BACKGROUND: Violence risk assessment is a routine part of clinical services in mental health, and in particular secure psychiatric hospitals. The use of prediction models and risk tools can assist clinical decision-making on risk management, including decisions about further assessments, referral, hospitalization and treatment. In recent years, scalable evidence-based tools, such as Forensic Psychiatry and Violent Oxford (FoVOx), have been developed and validated for patients with mental illness. However, their acceptability and utility in clinical settings is not known. Therefore, we conducted a clinical impact study in multiple institutions that provided specialist mental health service. METHODS: We followed a two-step mixed-methods design. In phase one, we examined baseline risk factors on 330 psychiatric patients from seven forensic psychiatric institutes in China. In phase two, we conducted semi-structured interviews with 11 clinicians regarding violence risk assessment from ten mental health centres. We compared the FoVOx score on each admission (n = 110) to unstructured clinical risk assessment and used a thematic analysis to assess clinician views on the accuracy and utility of this tool. RESULTS: The median estimated probability of violent reoffending (FoVOx score) within 1 year was 7% (range 1-40%). There was fair agreement (72/99, 73% agreement) on the risk categories between FoVOx and clinicians' assessment on risk categories, and moderate agreement (10/12, 83% agreement) when examining low and high risk categories. In a majority of cases (56/101, 55%), clinicians thought the FoVOx score was an accurate representation of the violent risk of an individual patient. Clinicians suggested some additional clinical, social and criminal risk factors should be considered during any comprehensive assessment. In addition, FoVOx was considered to be helpful in assisting clinical decision-making and individual risk assessment. Ten out of 11 clinicians reported that FoVOx was easy to use, eight out of 11 was practical, and all clinicians would consider using it in the future. CONCLUSIONS: Clinicians found that violence risk assessment could be improved by using a simple, scalable tool, and that FoVOx was feasible and practical to use.

Risk factors for suicide in prisons: a systematic review and meta-analysis.

BACKGROUND: Rates of suicide among people in prison are elevated compared with people of similar age and sex who are living in the community. Improving assessments and interventions to reduce suicide risk requires updated evidence on risk factors. We aimed to examine risk factors associated with suicide in prisoners. METHODS: We did an updated systematic review and meta-analysis of risk factors for suicide among people in prison. We searched five biblographic databases for articles published between Jan 1, 2006, and Aug 13, 2020, and one database for articles published between Jan 1, 1973, and Aug 13, 2020. Eligible studies reported risk factors in individuals who died by suicide while in prison and in controls from the general prison population. Two reviewers independently extracted data for each study using a standardised form. We calculated random-effects pooled odds ratios (ORs) for the association of suicide with demographical, clinical, criminological, and institutional risk factors, and investigated heterogeneity using subgroup and meta-regression analyses. This systematic review is registered with PROSPERO, CRD42020137979. FINDINGS: We identified 8041 records through our searches, and used 77 eligible studies from 27 countries, including 35 351 suicides, in the main analysis. The strongest clinical factors associated with suicide were suicidal ideation during the current period in prison (OR 15·2, 95% CI 8·5-27·0), a history of attempted suicide (OR 8·2, 4·4-15·3), and current psychiatric diagnosis (OR 6·4, 3·6-11·1). Institutional factors associated with suicide included occupation of a single cell (OR 6·8, 2·3-19·8) and having no social visits (OR 1·9, 1·5-2·4). Criminological factors included remand status (OR 3·6, 3·1-4·1), serving a life sentence (OR 2·4, 1·3-4·6), and being convicted of a violent offence, in particular homicide (OR 3·1, 2·2-4·2). INTERPRETATION: Several modifiable risk factors, such as psychiatric diagnosis, suicidal ideation during the current period in prison, and single-cell occupancy, are associated with suicide among people in prison. Preventive interventions should target these risk factors and include improved access to evidence-based mental health care. Understanding other factors associated with suicide might improve risk stratification and resource allocation in prison services. FUNDING: Wellcome Trust, National Institute for Health Research Applied Research Collaboration Oxford and Thames Valley.

The Association Between Suicide Attempts, Anxiety, and Childhood Maltreatment Among Adolescents and Young Adults With First Depressive Episodes.

Objective: Adolescents and young adults are susceptible to high-risk behaviors such as self-harm and suicide. However, the impact of childhood maltreatment on suicide attempts in adolescents and young adults with first episode of depression remains unclear. This study examined the association between suicide attempts and childhood maltreatment among adolescents and young adults with first depressive episodes. Methods: A total of 181 adolescents and young adults with first depressive episodes were included. The Child Trauma Questionnaire (CTQ), Beck Anxiety Inventory (BAI), and Patient Health Questionnaire-2 (PHQ-2) were used to assess childhood maltreatment and the severity of anxiety and depressive symptoms, respectively. The suicide item in the MINI-International Neuropsychiatric Interview (M.I.N.I.) 5.0 was used to assess the suicide attempts. Logistic regression analyses were used to explore the associated factors of suicide attempts. Results: The prevalence of SA in the total sample was 31.5% (95% CI = 24.9-38.1%). Multivariate logistic regression analyses revealed that the diagnosis of bipolar disorder (OR = 2.18, 95% CI = 1.07-4.40), smoking (OR = 2.64, 95% CI = 1.10-6.37), anxiety symptoms (OR = 1.05, 95% CI = 1.02-1.08), and childhood maltreatment (OR = 1.04, 95% CI = 1.01-1.07) were potential associated factors of SA. In addition, anxiety symptoms had a mediating effect on the relationship between childhood maltreatment and SA. Conclusion: Adolescents and young adults with first depressive episodes and having experiences of childhood maltreatment are at a high risk of suicide. The severity of anxiety symptoms may mediate the relation between childhood maltreatment and suicide attempts in this group of patients.

Attention-deficit/ hyperactivity disorder symptoms and suicidal ideation among college students: A structural equation modeling approach.

OBJECTIVE: Suicidal ideation (SI) among college students is frequently reported. However, the mediating roles of depressive and anxiety symptoms between attention-deficit/hyperactivity disorder (ADHD) symptoms and SI has yet to be explored among college students. METHOD: A cross-sectional survey of college freshmen in China was conducted between October 2018 and December 2018. Standardized questionnaires were used to collect information on basic sociodemographic characteristics, including SI, ADHD symptoms, and anxiety and depressive symptoms. A structural equation model (SEM) was then constructed. RESULTS: A total of 904 college freshmen were included in the analysis. The prevalence of ADHD symptoms and lifetime SI were 11.9% (95% CI: 9.9%-14.2%) and 29.2% (95% CI: 26.3%-32.2%), respectively. The SEM revealed that there were no direct paths from inattention, executive dysfunction, and hyperactivity to SI. Under the mediating role of anxiety and depressive symptoms, executive dysfunction (ß = 0.011, p < 0.05) and hyperactivity (ß = 0.015, p < 0.05) had indirect relationships with the risk of SI, and the role of inattention was not identified. Depressive and anxiety symptoms had direct influences on increasing SI. There also were indirect effects from anxiety symptoms to SI, which were mediated by depressive symptoms (ß = 0.023, p < 0.001). CONCLUSIONS: The current study indicated the indirect relationships between ADHD symptoms and SI among college freshmen. The findings could provide useful clues for clinical treatment and school-based prevention that aims to improve college students' mental well-being.

Managing outbreaks of highly contagious diseases in prisons: a systematic review.

BACKGROUND: There are reports of outbreaks of COVID-19 in prisons in many countries. Responses to date have been highly variable and it is not clear whether public health guidance has been informed by the best available evidence. We conducted a systematic review to synthesise the evidence on outbreaks of highly contagious diseases in prison. METHODS: We searched seven electronic databases for peer-reviewed articles and official reports published between 1 January 2000 and 28 July 2020. We included quantitative primary research that reported an outbreak of a given contagious disease in a correctional facility and examined the effects of interventions. We excluded studies that did not provide detail on interventions. We synthesised common themes using the Synthesis Without Meta-analysis (SWiM) guideline, identified gaps in the literature and critically appraised the effectiveness of various containment approaches. RESULTS: We identified 28 relevant studies. Investigations were all based in high-income countries and documented outbreaks of tuberculosis, influenza (types A and B), varicella, measles, mumps, adenovirus and COVID-19. Several themes were common to these reports, including the public health implications of infectious disease outbreaks in prison, and the role of interagency collaboration, health communication, screening for contagious diseases, restriction, isolation and quarantine, contact tracing, immunisation programmes, epidemiological surveillance and prison-specific guidelines in addressing any outbreaks. DISCUSSION: Prisons are high-risk settings for the transmission of contagious diseases and there are considerable challenges in managing outbreaks in them. A public health approach to managing COVID-19 in prisons is required. PROSPERO REGISTRATION NUMBER: CRD42020178827.

Drug Use Disorders and Violence: Associations With Individual Drug Categories.

We conducted a systematic review that examined the link between individual drug categories and violent outcomes. We searched for primary case-control and cohort investigations that reported risk of violence against others among individuals diagnosed with drug use disorders using validated clinical criteria, following Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. We identified 18 studies published during 1990-2019, reporting data from 591,411 individuals with drug use disorders. We reported odds ratios of the violence risk in different categories of drug use disorders compared with those without. We found odds ratios ranging from 0.8 to 25.0 for most individual drug categories, with generally higher odds ratios among individuals with polydrug use disorders. In addition, we explored sources of between-study heterogeneity by subgroup and meta-regression analyses. Cohort investigations reported a lower risk of violence than case-control reports (odds ratio =  2.7 (95% confidence interval (CI): 2.1, 3.5) vs. 6.6 (95% CI: 5.1, 8.6)), and associations were stronger when the outcome was any violence rather than intimate partner violence (odds ratio = 5.7 (95% CI: 3.8, 8.6) vs. 1.7 (95% CI: 1.4, 2.1)), which was consistent with results from the meta-regression. Overall, these findings highlight the potential impact of preventing and treating drug use disorders on reducing violence risk and associated morbidities.

High Psychiatric Morbidity and Comorbidity Among Female Prisoners in Hunan, China.

BACKGROUND: High prevalence of mental disorders has been found among female prisoners in Western countries, however, little is known about the epidemiology of mental disorders in such populations in China. This study aims to investigate psychiatric morbidity and comorbidity among sentenced prisoners in a female prison in China. METHODS: A cluster sample of 2,703 female adult prisoners from Hunan Provincial Female Prison were interviewed with the Mini International Neuropsychiatric Interview, a semi-structured Diagnostic and Statistical Manual of Mental Disorders 4th edition (DSM-IV) mental disorder diagnostic tool. The rates of psychotic disorders, affective disorders, anxiety disorders, and substance use disorders were reported. RESULTS: Nearly 2/3 (66.2%, N=1,790) of the sample fulfilled the criteria for at least one lifetime DSM-IV disorder 36.5% had major depression, 22.2% had post-traumatic stress disorder (PTSD), and 16.5% had drug use disorder. Drug use disorders were the major comorbid disorders. 60.8% of people with alcohol use disorder and 37.0% of those with psychotic disorders also had a drug use disorder. More than one-quarter (26.1%) of the population met criteria for a current diagnosis of any mental disorder, of which major depression was the most common (14.7%), followed by PTSD (6.4%) and psychotic disorder (1.8%). CONCLUSION: The high levels of psychiatric morbidity and comorbidity in a representative sample of female prisoners in China indicate unmet needs that require identification and therapeutic intervention in prisons.