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Women are often the victims of intimate partner violence (IPV). Though China has established its first statute against domestic violence, there were limited studies related to IPV and only few focused on women’s perspectives of IPV. This study aimed to explore how women recognize and cope with IPV. This study completed the Short Explanatory Model Interview (SEMI) among a subset sample from a large epidemiology study in rural Sichuan China. After open coding, axial coding, and selective coding, we applied brief content analysis method to analyze qualitative interviews. Among 339 participants, the average age was 46.01 ± 12.42 years old and there were 49.26% of them had experienced violence from their partners in the last year. There were only 18 participants could recognize IPV; and there were 160 participants denied the violent relationship while blaming the victim for mental problems, serving a terrible role of wife, and less educated. One hundred and fifty-seven participants suggested solving IPV by oneself including fixing the relationship, empowering herself, enduring, doing housework, and even committing suicide; and 92 participants suggested seeking help from others including government agencies, her parents, friends, doctors, and legal aids. The results indicated that when women attributed the blame for IPV to the victim which may limit their coping strategies for self-help, and should they find themselves victimized. We believe future interventions should consider culture barriers and help vulnerable women define and perceive IPV in their lives, build broader social networks, and help victims dispel self-blame.

Made available in DSpace on 2022-04-28T19:40:08Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-07-01 Background: The COVID-19 pandemic is having profound mental health consequences for many people. Concerns have been expressed that, at their most extreme, these consequences could manifest as increased suicide rates. We aimed to assess the early effect of the COVID-19 pandemic on suicide rates around the world. Methods: We sourced real-time suicide data from countries or areas within countries through a systematic internet search and recourse to our networks and the published literature. Between Sept 1 and Nov 1, 2020, we searched the official websites of these countries’ ministries of health, police agencies, and government-run statistics agencies or equivalents, using the translated search terms “suicide” and “cause of death”, before broadening the search in an attempt to identify data through other public sources. Data were included from a given country or area if they came from an official government source and were available at a monthly level from at least Jan 1, 2019, to July 31, 2020. Our internet searches were restricted to countries with more than 3 million residents for pragmatic reasons, but we relaxed this rule for countries identified through the literature and our networks. Areas within countries could also be included with populations of less than 3 million. We used an interrupted time-series analysis to model the trend in monthly suicides before COVID-19 (from at least Jan 1, 2019, to March 31, 2020) in each country or area within a country, comparing the expected number of suicides derived from the model with the observed number of suicides in the early months of the pandemic (from April 1 to July 31, 2020, in the primary analysis). Findings: We sourced data from 21 countries (16 high-income and five upper-middle-income countries), including whole-country data in ten countries and data for various areas in 11 countries). Rate ratios (RRs) and 95% CIs based on the observed versus expected numbers of suicides showed no evidence of a significant increase in risk of suicide since the pandemic began in any country or area. There was statistical evidence of a decrease in suicide compared with the expected number in 12 countries or areas: New South Wales, Australia (RR 0·81 [95% CI 0·72–0·91]); Alberta, Canada (0·80 [0·68–0·93]); British Columbia, Canada (0·76 [0·66–0·87]); Chile (0·85 [0·78–0·94]); Leipzig, Germany (0·49 [0·32–0·74]); Japan (0·94 [0·91–0·96]); New Zealand (0·79 [0·68–0·91]); South Korea (0·94 [0·92–0·97]); California, USA (0·90 [0·85–0·95]); Illinois (Cook County), USA (0·79 [0·67–0·93]); Texas (four counties), USA (0·82 [0·68–0·98]); and Ecuador (0·74 [0·67–0·82]). Interpretation: This is the first study to examine suicides occurring in the context of the COVID-19 pandemic in multiple countries. In high-income and upper-middle-income countries, suicide numbers have remained largely unchanged or declined in the early months of the pandemic compared with the expected levels based on the pre-pandemic period. We need to remain vigilant and be poised to respond if the situation changes as the longer-term mental health and economic effects of the pandemic unfold. Funding: None. Centre for Mental Health Melbourne School of Population and Global Health University of Melbourne Swansea University Medical School Translational Health Research Institute Western Sydney University Ministry of Public Health Department of Health Promotion National Confidential Inquiry into Suicide and Safety in Mental Health University of Manchester Centre for Mental Health and Safety and National Institute for Health Research Patient Safety Translational Research Centre University of Manchester School of Public Health National Suicide Research Foundation University College Cork Australian Institute for Suicide Research and Prevention School of Applied Psychology Griffith University Institute for Life Course Health Research Department of Global Health Stellenbosch University Working Group on Prevention of Suicide and Depression at Public Health Council Department of Psychiatry Blekinge Hospital Botucatu Medical School Universidade Estadual Paulista Instituto Nacional de Psiquiatría Ramon de la Fuente Muñiz University of Rochester Medical Center Region Friuli Venezia Giulia Central Health Directorate Outpatient and Inpatient Care Service Department of Medicine University of Udine Institute of Health Behaviors and Community Sciences College of Public Health National Taiwan University Thames Valley Local Criminal Justice Board Department of Psychiatry Psychotherapy and Psychosomatics Medical University of Innsbruck Center for Outcomes Research and Evaluation Yale School of Medicine Coroners Court of Victoria Danish Research Institute for Suicide Prevention Department of Mental Health Johns Hopkins School of Public Health Centre for Mental Health Research Australian National University Brigham and Women's Hospital Department of Emergency Medicine School of Population Health University of Auckland Magistrates Court of Tasmania (Coronial Division) Bureau of Vital Records and Statistics Louisiana Office of Public Health Ministry of Public Health Undersecretary of Health Services Research Department, 113 Suicide Prevention Departments of Psychiatry and Epidemiology Columbia University Medical Center/New York State Psychiatric Institute Centre for Suicide Research University of Oxford Louisiana Department of Health Greater Manchester Mental Health NHS Foundation Trust Department of Psychiatry Aga Khan University KU Leuven Center for Contextual Psychiatry Population Health Sciences Bristol Medical School University of Bristol South Asian Clinical Toxicology Research Collaboration Faculty of Medicine University of Peradeniya World Health Organization Country Office for Nepal Karolinska Institutet Bekhterev National Medical Research Center of Psychiatry and Neurology Pavlov First Saint Petersburg State Medical University Unit Suicide Research and Mental Health Promotion Department of Social and Preventive Medicine Center for Public Health Medical University of Vienna Department of Child and Adolescent Psychiatry Medical University of Vienna School of Psychology University of Nottingham Self-Harm Research Group School of Psychology University of Nottingham Mental Health Centre Copenhagen Department of Psychiatry and Psychotherapy Klinikum Klagenfurt am Wörthersee Suicidal Behaviour Research Lab University of Glasgow Preventing Deaths from Poisoning Research Group University of Edinburgh Usher Institute University of Edinburgh Suicide Research and Prevention Center Shanghai Mental Health Center Shanghai Jiao Tong University School of Medicine Departments of Psychiatry and Epidemiology Columbia University Department of Child and Adolescent Psychiatry and Psychotherapy University of Ulm Psychosocial Services in Vienna National Centre for Suicide Research and Prevention Institute of Clinical Medicine University of Oslo Department of Child and Adolescent Psychiatry Psychotherapy and Psychosomatics University Hospital Leipzig Department of Psychiatry and Psychotherapeutic Medicine Landeskrankenhaus Villach Department of Psychiatry Psychosomatic Medicine and Psychotherapy University Hospital Frankfurt Department of Borderline Disorders and Psychotherapy Bekhterev National Medical Research Center of Psychiatry and Neurology Saint Petersburg State University Department of Psychiatry Health Authority Frankfurt am Main Department of Addictive Disorders Psychiatry and Psychotherapy LVR-Klinik Köln Department of Psychiatry Psychosomatic Medicine and Psychotherapy Goethe-University Organizational-Scientific Department Bekhterev National Medical Research Center of Psychiatry and Neurology Department of Psychiatry University of Toronto Department of Psychiatry Sunnybrook Health Sciences Centre Waseda University Faculty of Political Science and Economics Sneha—Suicide Prevention Centre Voluntary Health Services Department of Community Medicine Faculty of Medicine and Allied Sciences Rajarata University of Sri Lanka Department of Psychiatry Sackler School of Medicine Tel Aviv University and Geha Mental Health Center Division of Molecular Imaging and Neuropathology New York State Psychiatric Institute and Department of Psychiatry Columbia University National Institute of Health Research Biomedical Research Centre University Hospitals Bristol and Weston NHS Foundation Trust University of Bristol Department for Psychiatry University Psychiatric Hospital Vrapče School of Medicine University of Zagreb Botucatu Medical School Universidade Estadual Paulista

Self-injury mortality (SIM) combines suicides and the preponderance of drug misuse-related overdose fatalities. Identifying social and environmental factors associated with SIM and suicide may inform etiologic understanding and intervention design.To identify factors associated with interstate SIM and suicide rate variation and to assess potential for differential suicide misclassification.This cross-sectional study used a partial panel time series with underlying cause-of-death data from 50 US states and the District of Columbia for 1999-2000, 2007-2008, 2013-2014 and 2018-2019. Applying data from the Centers for Disease Control and Prevention, SIM includes all suicides and the preponderance of unintentional and undetermined drug intoxication deaths, reflecting self-harm behaviors. Data were analyzed from February to June 2021.Exposures included inequity, isolation, demographic characteristics, injury mechanism, health care access, and medicolegal death investigation system type.The main outcome, SIM, was assessed using unstandardized regression coefficients of interstate variation associations, identified by the least absolute shrinkage and selection operator; ratios of crude SIM to suicide rates per 100 000 population were assessed for potential differential suicide misclassification.A total of 101 325 SIMs were identified, including 74 506 (73.5%) among males and 26 819 (26.5%) among females. SIM to suicide rate ratios trended upwards, with an accelerating increase in overdose fatalities classified as unintentional or undetermined (SIM to suicide rate ratio, 1999-2000: 1.39; 95% CI, 1.38-1.41; 2018-2019: 2.12; 95% CI, 2.11-2.14). Eight states recorded a SIM to suicide rate ratio less than 1.50 in 2018-2019 vs 39 states in 1999-2000. Northeastern states concentrated in the highest category (range, 2.10-6.00); only the West remained unrepresented. Least absolute shrinkage and selection operator identified 8 factors associated with the SIM rate in 2018-2019: centralized medical examiner system (β = 4.362), labor underutilization rate (β = 0.728), manufacturing employment (β = -0.056), homelessness rate (β = -0.125), percentage nonreligious (β = 0.041), non-Hispanic White race and ethnicity (β = 0.087), prescribed opioids for 30 days or more (β = 0.117), and percentage without health insurance (β = -0.013) and 5 factors associated with the suicide rate: percentage male (β = 1.046), military veteran (β = 0.747), rural (β = 0.031), firearm ownership (β = 0.030), and pain reliever misuse (β = 1.131).These findings suggest that SIM rates were associated with modifiable, upstream factors. Although embedded in SIM, suicide unexpectedly deviated in proposed social and environmental determinants. Heterogeneity in medicolegal death investigation processes and data assurance needs further characterization, with the goal of providing the highest-quality reports for developing and tracking public health policies and practices.

Patients with severe mental illnesses and related conditions, such as substance misuse and suicide attempts, are among the highest utilizers of acute inpatient medical services. The objective of this study was to assess the impact of a specialized medical unit that uses a comprehensive biopsychosocial model to care for patients with severe mental illnesses.The study used administrative data to compare patients with severe mental illnesses admitted to a specialized unit with patients admitted to medically similar acute (non-intensive care) medical units in a tertiary academic medical center. With controls for sociodemographic variables, illness severity, and medical complexity, multivariate regression analyses compared utilization outcomes for patients from the specialized unit with outcomes from comparison units.Patients on the specialized unit (N=2,077) were younger, had more mental disorder diagnoses, and were more likely to have less severe general medical illness and less medical complexity than patients from comparison units (N=12,824). Analyses of a subsample of patients with complex behavioral health diagnoses indicated that those on the specialized unit had a shorter average stay, higher odds of discharge to home, and lower odds of 30-day readmission, compared with those on comparison units.Specialized units targeted to the needs of patients with serious mental illnesses can provide a moment of engagement when vulnerable patients are likely to benefit from more coordinated care. Findings suggest that a specialized unit that capitalizes on this moment of engagement and uses a biopsychosocial model of care can improve utilization outcomes.

Firearms are the leading method of suicide in US men, and socioeconomic status (SES) is associated with suicide risk. In this 40-year mortality follow-up of a national cohort of US men, we examined if improved SES relative to one's family of origin, upward intergenerational social mobility (ISM), is associated with lowered risk for firearm suicide and suicide by other means in US men. Family of origin SES was assessed as part of Project Talent, a broad survey of US high school students in 1960. 42,766 men in the cohort completed follow-up surveys at age 29, assessing attained SES via education, occupation, and income. ISM was measured by change between harmonized SES composites. Mortality follow-up was conducted through age 70. Adjusting for baseline SES and race/ethnicity, a 1 standard deviation increase in SES was associated with a 31% reduction in firearm suicide risk later in the life course (HR [95% CI] = 0·69 [0·54, 0·88], P = 0·003), and a smaller, non-significant reduction in suicide by other means (HR [95% CI] = 0·80 [0·60, 1·07], P = 0·136). Traits associated with both suicide and SES attainment (cognitive ability, calm, impulsivity) only modestly attenuated this association. Upward ISM was more strongly associated with reduced firearm suicide risk in males with parents of low SES. The association between upward ISM and reduced firearm suicide mortality risk prevailed over ensuing decades. Policies improving social mobility in US males, particularly those of lower SES, may function as de-facto firearm suicide prevention strategies.

IntroductionThe postdischarge suicide risk among psychiatric patients is significantly higher than it is among patients with other diseases and general population. The brief contact interventions (BCIs) are recommended to decrease suicide risk in areas with limited mental health service resources like China. This study aims to develop a postdischarge suicide intervention strategy based on BCIs and evaluate its implementability under the implementation outcome framework.Methods and analysisThis study will invite psychiatric patients and family members, clinical and community mental health service providers as the community team to develop a postdischarge suicide intervention strategy. The study will recruit 312 patients with psychotic symptoms and 312 patients with major depressive disorder discharged from Shenzhen Kangning Hospital (SKH) in a Sequential Multiple Assignment Randomised Trial. Participants will be initially randomised into two intervention groups to receive BCIs monthly and weekly, and they will be rerandomised into three intervention groups to receive BCIs monthly, biweekly and weekly at 3 months after discharge according to the change of their suicide risk. Follow-ups are scheduled at 1, 3, 6 and 12 months after discharge. With the intention-to-treat approach, generalised estimating equation and survival analysis will be applied. This study will also collect qualitative and quantitative information on implementation and service outcomes from the community team.Ethics/disseminationThis study has received ethical approval from the Ethics Committee Review Board of SKH. All participants will provide written informed consent prior to enrolment. The findings of the study will be disseminated through peer-reviewed scientific journals, conference presentations. A project report will be submitted to the National Natural Science Foundation of China as the concluding report of this funded project, and to the mental health authorities in the Shenzhen to refine and apply evidence-based and pragmatic interventions into health systems for postdischarge suicide prevention.Trial registration numberNCT04907669.

Little research has conducted to examine the association between social deprivation and social fragmentation, overall and method-specific suicide risk, and how these associations may change over time. This study investigated the association between social deprivation and social fragmentation with overall and method-specific suicide in Hong Kong from 1999 to 2018.Suicide death data of each small tertiary planning unit (STPU) was obtained from the Census and Statistics Department of Hong Kong. Socio-economic characteristics in STPU level were obtained from Census and Bi-census. Exploratory principal component analysis was used to construct the social deprivation (SDI) and social fragmentation indices (SFI) based on the socio-economic characteristics. Bayesian hierarchical modelling was conducted to explore the association between SDI and SFI with overall and method-specific suicide over time, controlling for population density and male-to-female ratio.Higher risk of suicide was generally observed around Kowloon Peninsula and some parts in the Northern, Northwestern and Southwestern areas depending on methods. The effect of SDI and SFI on suicide risk varied by years and methods. In 2014-2018, for every 10% increase in SDI, the suicide risk for overall, jumping, hanging, and charcoal burning elevated by 22% (95%Crl = 10%-37%), 26% (95%Crl = 12%-41%), 31% (95%Crl = 14%-51%), and 21% (95%Crl = 4%-42%) respectively.Spatial variations and effects of SDI and SFI on overall and method-specific suicide risks varied by different periods. SDI was observed to be a stronger factor in the recent years. Situations should be monitored, and interventions should be implemented and adjusted accordingly to the changes.

Background Immigrant status, acculturation level, race and ethnicity have been found to contribute to the utilization of mental health services in the perinatal period. This study explored perinatal experiences and perceptions among Chinese immigrant mothers and their spouses, as well as the possible barriers and facilitators that affect their health care utilization. Methods We recruited 13 women ages 18–35 years born in mainland China, living in Rochester, New York, and residing less than 5 years in the United States. Participants primary language was Mandarin Chinese and all had given birth to at least one live infant within the past 7 years. Participants’ age was at least 18 years old at the time of delivery. Five spouses also participated. We divided women in two focus groups and held one focus group for men, with data collection including demographic questionnaires and semi-structured focus group questions conducted in December 2014. Data were analyzed following thematic analysis. Results Four themes emerged: experiences of perinatal depression; perceptions of perinatal depression; general preventive and coping strategies; and attitudes toward the supportive use social media applications (apps) and text messaging during the perinatal period. Participants had limited knowledge of perinatal depression and had difficulty distinguishing between normal perinatal mood fluctuations and more severe symptoms of depression. They discussed immigrant-related stress, conflicts with parents/in-laws while “doing the month”, the perceived gap between the ideal of “perfect moms” and reality, and challenges with parenting as the causes of perinatal depression. Women approved of screening for the condition but were conservative about follow-up interventions. As for the management of perinatal depression, participants preferred to deal with the problem within the family before seeking external help, due to potential stigma as well as Chinese traditional culture. They were receptive to obtaining pertinent health information from anonymous social media apps, preferring these to personal text messages. Conclusion The recent immigrant Chinese parents to the United States in the study had limited knowledge of perinatal depression and did not make full use of mental health services for support due to language and cultural barriers. Screening for perinatal depression is only the first step. Future research should explore what interventions may serve as an acceptable approach to overcoming these gaps.

Almost half of individuals who die by suicide have had contact with primary care (PC) services within 1 month of their death. PC providers must be able to assess and manage patients' suicidal ideation, intent, and behaviors. When didactic training is provided to providers, it is assumed that their requisite skills are well developed. The current study assessed observed skills following high-quality online didactics.Medical residents and nurse practitioner (NP) trainees (n = 127) participated in online didactic training as part of their education program, followed by a standardized patient interaction conducted to assess demonstrated suicide prevention skills (i.e., assessment of risk factors, protective factors, suicidal ideation and behavior, safety planning).Participants demonstrated only about 50% of the possible total skills in most domains and were least competent in assessing potential risk for suicide. Regression analyses showed that residents were rated significantly higher than NPs on observed skills. Personal experience with suicide was not associated with any observed skills. Baseline knowledge scores were positively associated with some skills while elapsed days since completion of didactics were negatively associated with skills.Didactics were insufficient for building suicide-specific assessment skills among physicians and nurses in advanced training.

Background Strengthening social integration could prevent suicidal behavior. However, minimal research has examined social integration through relationship network structure. To address this important gap, we tested whether structural characteristics of school networks predict school rates of ideation and attempts. Methods In 38 US high schools, 10,291 students nominated close friends and trusted adults to construct social networks. We used mixed-effects logistic regression models to test individual student networks and likelihood of suicidal ideation (SI) and suicide attempts (SA); and linear regression models to estimate associations between school network characteristics and school rates of SI, SA, and SA among all with ideation. Results Lower peer network integration and cohesion increased likelihood of SI and SA across individual and school-level models. Two factors increased SA: student isolation from adults and suicidal students' popularity and clustering. A multivariable model identified higher SA in schools where youth-adult relationships were concentrated in fewer students (B = 4.95 [1.46, 8.44]) and suicidal students had higher relative popularity versus nonsuicidal peers (B = 0.93 [0.10, 1.77]). Schools had lower SA rates when more students named the same trusted adults named by friends and many students named the same trusted adults. When adjusting for depression, violence victimization and bullying, estimates for adult network characteristics were substantially unchanged whereas some peer effects decreased. Conclusions Schoolwide peer and youth-adult relationship patterns influence SA rates beyond individual student connections. Network characteristics associated with suicide attempts map onto three theory-informed domains: social integration versus thwarted relational needs, group cohesion, and suicidal students' social influence. Network interventions addressing these processes, such as maximizing youth-adult connections schoolwide and heightening influence of youth with healthy coping, could create more protective schools. Longitudinal and intervention studies are needed to determine how schools differentiate in network structure and clarify reciprocal dynamics between network characteristics and suicidal behavior.

BACKGROUND: Despite the abundance of measures to assess medication adherence by persons suffering schizophrenia, few studies have evaluated their concordance and validity against a reference standard in resource-poor community settings. We explored the concordance and validity of several measures to assess antipsychotic medication adherence in a resource-poor community. METHOD: Based on a random sample of 278 villagers diagnosed with schizophrenia from Liuyang, Hunan Province, China, we used a concordance correlation coefficient (r(c)) and Kappa statistic to assess agreement among pill counts, refill records, clinician rating, Drug Attitude Inventory (DAI), and the Brief Adherence Rating Scale (BARS). The validity of various measures was evaluated by their concordance and sensitivity/specificity to home-based unannounced pill count (UPC) as the reference standard. RESULTS: The estimated proportion of adherent patients according to all measures (41%~88%) was substantially higher than identified by UPC (35%). Concordance between any two measures was poor (r(c) /Kappa mostly < 0.30). Validity of various measures also was poor against the UPC (r(c)

Background and Objectives: One-third of individuals who die by suicide had primary care contact in the preceding month. Primary care trainees need engaging and effective suicide prevention training that can be delivered within tight time and resource constraints. However, training is currently scarce and its effectiveness unknown. The objective of this study was to assess learner engagement, learning, self-efficacy, and perceived ability to transfer training to practice from brief video-based modules centered around visual concept mapping of suicide prevention practices. Methods: We assigned 127 primary care trainees 21 brief instructional videos to watch. We analyzed engagement by monitoring the proportion of learners who began each video and the proportion of the video watched. We assessed knowledge and self-efficacy pre- and posttraining. Learners provided feedback on satisfaction with modules and ability to transfer training to practice. Results: Engagement was high, with most learners watching most of each video (mean=83.2%). Increase in knowledge was large (t(131 df)=19.91, P

China recently issued a national plan on perinatal depression (PND) screening. Previous studies elsewhere suggested that uptake of referral after screening for PND is suboptimal, but little is known in China. In this cohort study including 1126 women in Hunan, we identified women at a high risk of PND using the Edinburgh Postpartum Depression Scale (EPDS) over multiple time points. We texted them and offered free consultations with a psychiatrist/psychologist. Among 248 screen-positive women, only three expressed interest and one attended the appointment. We surveyed the women about their reasons for declining referrals and preferred means of care. Of the 161 respondents, 128 (79.5%) indicated that they could cope with the condition without professional assistance and 142 (88.2%) chose their families as the preferred source of help. Only 15 (9.3%) chose professionals as their first option. Implementing a referral policy for screen-positive women would mean approximately one-third of women who gave birth in China would be eligible. Our result argues against referring all screen-positive women for professional services at this time. Interventions should instead build upon the tradition of family support in a more engaged response. These considerations are relevant for the implementation of national screening for PND in China.

BackgroundThe novel coronavirus disease 2019 (COVID-19) pandemic has caused several disruptions in personal and collective lives worldwide. The uncertainties surrounding the pandemic have also led to multi-faceted mental health concerns, which can be exacerbated with precautionary measures such as social distancing and self-quarantining, as well as societal impacts such as economic downturn and job loss. Despite noting this as a “mental health tsunami,” the psychological effects of the COVID-19 crisis remains unexplored at scale. Consequently, public health stakeholders are currently limited in identifying ways to provide timely and tailored support during these circumstances.ObjectiveOur work aims to provide insights regarding people’s psychosocial concerns during the COVID-19 pandemic by leveraging social media data. We aim to study the temporal and linguistic changes in symptomatic mental health and support-seeking expressions in the pandemic context.MethodsWe obtain ~60M Twitter streaming posts originating from the U.S. from March, 24 - May, 25, 2020, and compare these with ~40M posts from a comparable period in 2019 to causally attribute the effect of COVID-19 on people’s social media self-disclosure. Using these datasets, we study people’s self-disclosure on social media in terms of symptomatic mental health concerns and expressions seeking support. We employ transfer learning classifiers that identify the social media language indicative of mental health outcomes (anxiety, depression, stress, and suicidal ideation) and support (emotional and informational support). We then examine the changes in psychosocial expressions over time and language, comparing the 2020 and 2019 datasets.ResultsWe find that all of the examined psychosocial expressions have significantly increased during the COVID-19 crisis - mental health symptomatic expressions have increased by ~14%, and support seeking expressions have increased by ~5%, both thematically related to COVID-19. We also observe a steady decline and eventual plateauing in these expressions during the COVID-19 pandemic, which may have been due to habituation or due to supportive policy measures enacted during this period. Our language analyses highlight that people express concerns that are contextually related to the COVID-19 crisis.ConclusionsWe studied the psychosocial effects of the COVID-19 crisis by using social media data from 2020, finding that people’s mental health symptomatic and support-seeking expressions significantly increased during the COVID-19 period as compared to similar data from 2019. However, this effect gradually lessened over time, suggesting that people adapted to the circumstances and their “new normal”. Our linguistic analyses revealed that people expressed mental health concerns regarding personal and professional challenges, healthcare and precautionary measures, and pandemic-related awareness. This work shows the potential to provide insights to mental healthcare and stakeholders and policymakers in planning and implementing measures to mitigate mental health risks amidst the health crisis.

BACKGROUND The COVID-19 pandemic has caused several disruptions in personal and collective lives worldwide. The uncertainties surrounding the pandemic have also led to multifaceted mental health concerns, which can be exacerbated with precautionary measures such as social distancing and self-quarantining, as well as societal impacts such as economic downturn and job loss. Despite noting this as a “mental health tsunami”, the psychological effects of the COVID-19 crisis remain unexplored at scale. Consequently, public health stakeholders are currently limited in identifying ways to provide timely and tailored support during these circumstances. OBJECTIVE Our study aims to provide insights regarding people’s psychosocial concerns during the COVID-19 pandemic by leveraging social media data. We aim to study the temporal and linguistic changes in symptomatic mental health and support expressions in the pandemic context. METHODS We obtained about 60 million Twitter streaming posts originating from the United States from March 24 to May 24, 2020, and compared these with about 40 million posts from a comparable period in 2019 to attribute the effect of COVID-19 on people’s social media self-disclosure. Using these data sets, we studied people’s self-disclosure on social media in terms of symptomatic mental health concerns and expressions of support. We employed transfer learning classifiers that identified the social media language indicative of mental health outcomes (anxiety, depression, stress, and suicidal ideation) and support (emotional and informational support). We then examined the changes in psychosocial expressions over time and language, comparing the 2020 and 2019 data sets. RESULTS We found that all of the examined psychosocial expressions have significantly increased during the COVID-19 crisis—mental health symptomatic expressions have increased by about 14%, and support expressions have increased by about 5%, both thematically related to COVID-19. We also observed a steady decline and eventual plateauing in these expressions during the COVID-19 pandemic, which may have been due to habituation or due to supportive policy measures enacted during this period. Our language analyses highlighted that people express concerns that are specific to and contextually related to the COVID-19 crisis. CONCLUSIONS We studied the psychosocial effects of the COVID-19 crisis by using social media data from 2020, finding that people’s mental health symptomatic and support expressions significantly increased during the COVID-19 period as compared to similar data from 2019. However, this effect gradually lessened over time, suggesting that people adapted to the circumstances and their “new normal.” Our linguistic analyses revealed that people expressed mental health concerns regarding personal and professional challenges, health care and precautionary measures, and pandemic-related awareness. This study shows the potential to provide insights to mental health care and stakeholders and policy makers in planning and implementing measures to mitigate mental health risks amid the health crisis.

Objective: We aimed to examine whether suicidal thoughts and behaviour were independently associated with a wide range of health and social risk behaviours. Methods: We conducted cross-sectional analyses of data collected from 13,763 adult males who participated in The Australian Longitudinal Study on Male Health. We fit generalised linear models to estimate the relative risk of engaging in a range of health and social risk behaviours across several domains by suicidal thoughts and behaviour status. Results: Men with recent suicidal ideation (relative risk range, 1.10–5.25) and lifetime suicide attempts (relative risk range, 1.10–7.65) had a higher risk of engaging in a broad range of health and social risk behaviours. The associations between suicidal thoughts and behaviour and health and social risk behaviours were typically independent of socio-demographics and in many cases were also independent of depressive symptoms. Conclusion: Suicidal thoughts and behaviour overlaps with increased risk of engagement in a wide range of health and social risk behaviours, indicating the need for an alignment of broader public health interventions within clinical and community-based suicide prevention activities. The experience of suicidality may be an important catalyst for a broader psychosocial conversation and assessment of health and social risk behaviours, some of which may be modifiable. These behaviours may not carry an imminent risk of premature death, such as from suicide, but they carry profound health and social consequences if left unaddressed.

ispartof: The Lancet Psychiatry vol:7 issue:6 pages:468-471 ispartof: location:England status: published

National suicide prevention programmes that have been successful in reducing rates or keeping them low have been intentional, with collective alignment of local, regional and national priorities. Prevention efforts must begin well before individuals become suicidal, complementing readily available clinical services that address the needs of acutely distressed persons. These efforts, which focus on the antecedent risks and vulnerabilities of key populations, have the potential to diminish premature mortality from multiple causes, even as reducing suicide is the outcome of primary interest. In this commentary, I consider four key challenges that must be confronted in order to develop effective, broadly reaching systemic strategies that, at once, can be adapted locally while being implemented nationally – challenges that are framed in a social–ecological context. They involve defining the scope of the problem, meeting essential data needs, developing and modelling measurable implementation strategies and building prevention efforts based on shared culture and values.

Background Peer-delivered services potentially provide broad, multifaceted benefits for persons suffering severe mental illness. Most studies to date have been conducted in countries with well-developed outpatient mental health systems. The objective of this study was to examine the feasibility for developing a community-based peer service in China. Methods Thirteen peer service providers and 54 consumers were recruited from four communities in Beijing. We initiated the program in two communities, followed by another two in order to verify and add to our understanding of potential scalable feasibility. Semi-structured face-to-face interviews were conducted 12 month after initiation at each site to measure satisfaction and perceived benefits from perspectives of peer service providers, and consumers and their caregivers. Results Key stakeholders reported that peer support services were satisfying and beneficial. Eleven of 13 peer service providers were willing to continue in their roles. Ten, 8, and 7 of them perceived improvements in working skills, social communication skills, and mood, respectively. Among consumers, 39 of 54 were satisfied with peer services. Improvements in mood, social communication skills, illness knowledge, and illness stability were detected among 23, 18, 13, and 13 consumers, respectively. For caregivers, 31 of 32 expressed a positive view regarding peer services. Caregivers reported improvement in their own mood, confidence in recovery of their family members, and reduction in caretaker burdens. Conclusions The findings highlight that peer-delivered services have promise in China for benefiting persons with severe mental illness and their family caregivers, as well as the peer service providers themselves.

Background As part of a larger epidemiological study of depression among rural Chinese women, we sought to understand their explanatory models of depression. We explored how participants describe depression, to what cause they attribute depression, and what sources of treatment they would recommend. Methods Participants first were assessed with the Center for Epidemiological-Depression scale (CES-D), with a cut-point of 16 or greater indicative of depression. The Short Explanatory Model Interview (SEMI), a semi-structured questionnaire, was our primary tool for exploring participants’ explanatory models relating to a vignette describing a rural Chinese woman with depression. Results Among the 416 women who consented and completed the SEMI, 277(66.6%) reported that the woman in the vignette had something wrong with her health. Among these, only 8(2.9%) women provided a specific psychiatric name for the condition, while 150(54.2%) provided non-specific psychiatric disease names or affective symptoms, and 78(28.2%)of the sample provided physical disease names. Participants attributed causes largely to internal factors (41.5%) or external factors (36.8%). In terms of help-seeking, 101(36.4%) said the woman in the vignette should see a doctor, 70(25.3%) indicated that she should solve the problem herself, and 42(15.2%) recommended seeking support from family members and friends. We did not find any differences in recognition, causal attribution, and help-seeking suggestions between women with a CES-D ≥ 16 and those with CES-D Limitations The use of a vignette to prompt discussion was not the same as talking about real-life personal situations. Conclusion Our results point to potential challenges and opportunities that lay ahead as China develops mental health services in its vast rural areas among women who may be at risk for developing depression. We found that our participants often attributed their symptoms to internal or external social causes, and preferred not speaking with family members and friends. Our findings suggest that rural Chinese women may be reticent to recognize or describe categorical concepts such as “depression” as a health problem, and they invite further consideration about how best to develop new health services in China's rural regions.

Most of current scales for assessing intimate partner violence (IPV) were developed for Western populations. The Chinese Risk Assessment Tool for Victims (CRAT-V) was a new scale evaluating the risk of IPV, which was developed based on Chinese populations in the context of Chinese culture. To determine whether the CRAT-V could add further value to research involving IPV and violence against women in rural China, we sought to implement the CRAT-V and to explore its factor structure among a rural population in the mainland of China. This study included women from rural Sichuan Province of China, who aged 16 years and older, had been living locally for at least 2 years, and reported that they were married or in a relationship in the preceding year. A total of 670 participants completed the CRAT-V during the field survey. We utilized exploratory factor analysis to validate the fact structure of CRAT-V. The Cronbach’s alpha of the CRAT-V was 0.90, indicating good reliability. The CRAT-V reported that 45.07% (302/670) of participants were in risk of IPV, and the risk was higher in women who were 16 to 29 years old, having 7 years and higher education, and living in stem families. The CRAT-V fit a 5-factor model including healthy relationship, jealous feeling, jealous reaction, stressful living condition, and sexual abuse. Our findings provided support for using the CRAT-V as a culturally sensitive measure to predict the risk of experiencing IPV in China, and lend insights into factors that may contribute to timely IPV prevention and intervention.

OBJECTIVE: Forensic assertive community treatment (FACT) is an adaptation of the assertive community treatment model and is designed to serve justice-involved adults with serious mental illness. This study compared the effectiveness of a standardized FACT model and enhanced treatment as usual in reducing jail and hospital use and in promoting engagement in outpatient mental health services. METHODS: Seventy adults with psychotic disorders who were arrested for misdemeanor crimes and who were eligible for conditional discharge were recruited from the Monroe County, New York, court system. Participants were randomly assigned to receive either FACT (N=35) or enhanced treatment as usual (N=35) for one year. Criminal justice and mental health service utilization outcomes were measured by using state and county databases. RESULTS: Forty-nine participants (70%) completed the full one-year intervention period. Nineteen (27%) were removed early by judicial order, one was removed by county health authorities, and one died of a medical illness. Intent-to-treat analysis for all 70 participants showed that those receiving the FACT intervention had fewer mean6SD convictions (.46.7versus.961.3,p=.023),fewer meandaysinjail (21.5625.9 versus 43.5659.2, p=.025), fewer mean days in the hospital (4.4615.1 versus 23.8664.2, p=.025), and more mean days in outpatient mental health treatment (305.5692.1 versus 169.46139.6, p,.001) compared with participants who received treatment as usual. CONCLUSIONS: The Rochester FACT model was associated with fewer convictions for new crimes, less time in jail and hospitals, and more time in outpatient treatment among justice-involved adults with psychotic disorders compared with treatment as usual.

Background Persons with schizophrenia frequently discontinue or avoid medications. Under a national community-based mental health program many places in China have started to provide free medications to people with severe mental health disorders in their communities. In the free medication program (FMP) in Liuyang, China, peripatetic psychiatrists prescribed and dispensed antipsychotic medications free of charge at regular intervals and places convenient for all patients through the primary health care system since 2006. Our study aims to test whether adherence to this FMP improves the functioning of people with schizophrenia. Methods The research was conducted in Liuyang, a rural county in central China. Data were obtained from three sources: an ad-hoc survey and the program’s management system in 2013 and in-home interviews in 2014 in Liuyang. We conducted a cross-sectional propensity-score based analysis of the “dose” effect of FMP participation on their level of functioning, using medication refill adherence as a proxy for the participatory intensity in the program. Results Only 50.9% of 2,332 participants came for all refills in 2012. Higher refill adherence was associated with slightly worse functional outcomes. The main reasons for refill non-adherence were “unwilling to take medication or only took medication when unwell” (23.6%), “forgot or missed the appointment” (20.6%) and “hospitalized” (20.1%). Conclusions The FMP program in Liuyang seemed to have successfully removed barriers in cost and access. However, better refill adherence was not associated with better functional outcomes in this study, which might have been the result of reverse causation. To improve the effectiveness of the FMP, patient-centered measures should be considered.

AimTo assess whether an enhanced category combining suicides with nonsuicide drug self-intoxication fatalities more effectively captures the burden of self-injury mortality (SIM) in the USA among US non-Hispanic black and Hispanic populations and women irrespective of race/ethnicity.MethodsThis observational study used deidentified national mortality data for 2008–2017 from the CDC’s Web-based Injury Statistics Query and Reporting System. SIM comprised suicides by any method and age at death plus estimated nonsuicide drug self-intoxication deaths at age ≥15 years. Measures were crude SIM and suicide rates; SIM-to-suicide rate ratios; and indices of premature mortality.ResultsWhile the suicide rate increased by 29% for blacks, 36% for Hispanics and 25% for non-Hispanic whites between 2008 and 2017, corresponding SIM rate increases were larger at 109%, 69% and 55% (pConclusionApplication of SIM exposed substantial excess burdens from substance poisoning relative to suicide for minorities, particularly non-Hispanic blacks and for women generally. Results underscored the need to define, develop, implement and evaluate comprehensive strategies to address common antecedents of self-injurious behaviours.

Background Schizophrenia is a leading cause of disability, and a shift from facility- to community-based care has been proposed to meet the resource challenges of mental healthcare in low- and middle-income countries. We hypothesized that the addition of mobile texting would improve schizophrenia care in a resource-poor community setting compared with a community-based free-medicine program alone. Methods and findings In this 2-arm randomized controlled trial, 278 community-dwelling villagers (patient participants) were randomly selected from people with schizophrenia from 9 townships of Hunan, China, and were randomized 1:1 into 2 groups. The program participants were recruited between May 1, 2015, and August 31, 2015, and the intervention and follow-up took place between December 15, 2015, and July 1, 2016. Baseline characteristics of the 2 groups were similar. The patients were on average 46 years of age, had 7 years of education, had a duration of schizophrenia of 18 years with minimal to mild symptoms and nearly one-fifth loss of functioning, and were mostly living with family (95%) and had low incomes. Both the intervention and the control groups received a nationwide community-based mental health program that provided free antipsychotic medications. The patient participants in the intervention group also received LEAN (Lay health supporters, E-platform, Award, and iNtegration), a program that featured recruitment of a lay health supporter and text messages for medication reminders, health education, monitoring of early signs of relapses, and facilitated linkage to primary healthcare. The primary outcome was medication adherence (proportion of dosages taken) assessed by 2 unannounced home-based pill counts 30 days apart at the 6-month endpoint. The secondary and other outcomes included patient symptoms, functioning, relapses, re-hospitalizations, death for any reason, wandering away without notifying anyone, violence against others, damaging goods, and suicide. Intent-to-treat analysis was used. Missing data were handled with multiple imputations. In total, 271 out of 278 patient participants were successfully followed up for outcome assessment. Medication adherence was 0.48 in the control group and 0.61 in the intervention group (adjusted mean difference [AMD] 0.12 [95% CI 0.03 to 0.22]; p = 0.013; effect size 0.38). Among secondary and other outcomes we noted substantial reduction in the risk of relapse (26 [21.7%] of 120 interventional participants versus 40 [34.2%] of 117 controls; relative risk 0.63 [95% CI 0.42 to 0.97]; number needed to treat [NNT] 8.0) and re-hospitalization (9 [7.3%] of 123 interventional participants versus 25 [20.5%] of 122 controls; relative risk 0.36 [95% CI 0.17 to 0.73]; NNT 7.6). The program showed no statistical difference in all other outcomes. During the course of the program, 2 participants in the intervention group and 1 in the control group died. The limitations of the study include its lack of a full economic analysis, lack of individual tailoring of the text messages, the relatively short 6-month follow-up, and the generalizability constraint of the Chinese context. Conclusions The addition of texting to patients and their lay health supporters in a resource-poor community setting was more effective than a free-medicine program alone in improving medication adherence and reducing relapses and re-hospitalizations. Future studies may test the effectiveness of customization of the texting to individual patients. Trial registration Chinese Clinical Trial Registry ChiCTR-ICR-15006053., Wenjie Gong and colleagues show that mobile messaging can increase medication adherence and reduce relapses in schizophrenia patients in rural China., Author summary Why was this study done? Schizophrenia is a leading cause of disability, but in low- and middle-income countries (LMICs) the treatment gap remains high, and even when treatment is available, adherence to antipsychotics is low. Mobile text messaging has been shown to be useful to strengthen community- and family-based care in resource-poor settings due to its availability, reliability, and ease of use. However, there has been no clear evidence that texting improves treatment adherence, symptoms, and functioning in people with schizophrenia. What did the researchers do and find? We developed an intervention called LEAN, involving the recruitment of lay health supporters; an electronic platform with mobile texting for medication reminders, health education, and monitoring; the awarding of token gifts for positive behavioral improvement, and integration of the texting with the health system. In this 2-arm randomized controlled trial, the control group received a free antipsychotic medication program (the 686 Program) while the intervention group received the 686 Program plus LEAN. We found significant improvement in medication adherence (0.48 in the control group versus 0.61 in the intervention group) and a substantial reduction in the risks of relapse and re-hospitalization with the intervention. What do these findings mean? LEAN demonstrated a 27% improvement in adherence, which is larger than the 15%–18% range reported in other text message interventions. Two unique features may have contributed to the relative superiority of LEAN: active engagement of lay health supporters and the use of texting to connect the entire treatment team from patients to lay health supporters to village doctors to psychiatrists, all in support of the patient. Texting effectively addressed the low adherence at marginal cost, and LEAN’s experiences may be useful for other LMICs with resource constraints. However, an adaptation of LEAN should fully consider some implementation details including keeping the program simple and integrated into routine care, maintaining low cost, and choosing existing texting platforms if available.

Powered by machine learning techniques, social media provides an unobtrusive lens into individual behaviors, emotions, and psychological states. Recent research has successfully employed social media data to predict mental health states of individuals, ranging from the presence and severity of mental disorders like depression to the risk of suicide. These algorithmic inferences hold great potential in supporting early detection and treatment of mental disorders and in the design of interventions. At the same time, the outcomes of this research can pose great risks to individuals, such as issues of incorrect, opaque algorithmic predictions, involvement of bad or unaccountable actors, and potential biases from intentional or inadvertent misuse of insights. Amplifying these tensions, there are also divergent and sometimes inconsistent methodological gaps and under-explored ethics and privacy dimensions. This paper presents a taxonomy of these concerns and ethical challenges, drawing from existing literature, and poses questions to be resolved as this research gains traction. We identify three areas of tension: ethics committees and the gap of social media research; questions of validity, data, and machine learning; and implications of this research for key stakeholders. We conclude with calls to action to begin resolving these interdisciplinary dilemmas.

Background: Suicides by any method, plus ‘nonsuicide’ fatalities from drug self-intoxication (estimated from selected forensically undetermined and ‘accidental’ deaths), together represent self-injury mortality (SIM)—fatalities due to mental disorders or distress. SIM is especially important to examine given frequent undercounting of suicides amongst drug overdose deaths. We report suicide and SIM trends in the United States of America (US) during 1999–2018, portray interstate rate trends, and examine spatiotemporal (spacetime) diffusion or spread of the drug self-intoxication component of SIM, with attention to potential for differential suicide misclassification. Methods: For this state-based, cross-sectional, panel time series, we used de-identified manner and underlying cause-of-death data for the 50 states and District of Columbia (DC) from CDC's Wide-ranging Online Data for Epidemiologic Research. Procedures comprised joinpoint regression to describe national trends; Spearman's rank-order correlation coefficient to assess interstate SIM and suicide rate congruence; and spacetime hierarchical modelling of the ‘nonsuicide’ SIM component. Findings: The national annual average percentage change over the observation period in the SIM rate was 4.3% (95% CI: 3.3%, 5.4%; p6.0% increase (p

BackgroundThe COVID-19 pandemic has caused several disruptions in personal and collective lives worldwide. The uncertainties surrounding the pandemic have also led to multifaceted mental health concerns, which can be exacerbated with precautionary measures such as social distancing and self-quarantining, as well as societal impacts such as economic downturn and job loss. Despite noting this as a “mental health tsunami”, the psychological effects of the COVID-19 crisis remain unexplored at scale. Consequently, public health stakeholders are currently limited in identifying ways to provide timely and tailored support during these circumstances.ObjectiveOur study aims to provide insights regarding people’s psychosocial concerns during the COVID-19 pandemic by leveraging social media data. We aim to study the temporal and linguistic changes in symptomatic mental health and support expressions in the pandemic context.MethodsWe obtained about 60 million Twitter streaming posts originating from the United States from March 24 to May 24, 2020, and compared these with about 40 million posts from a comparable period in 2019 to attribute the effect of COVID-19 on people’s social media self-disclosure. Using these data sets, we studied people’s self-disclosure on social media in terms of symptomatic mental health concerns and expressions of support. We employed transfer learning classifiers that identified the social media language indicative of mental health outcomes (anxiety, depression, stress, and suicidal ideation) and support (emotional and informational support). We then examined the changes in psychosocial expressions over time and language, comparing the 2020 and 2019 data sets.ResultsWe found that all of the examined psychosocial expressions have significantly increased during the COVID-19 crisis—mental health symptomatic expressions have increased by about 14%, and support expressions have increased by about 5%, both thematically related to COVID-19. We also observed a steady decline and eventual plateauing in these expressions during the COVID-19 pandemic, which may have been due to habituation or due to supportive policy measures enacted during this period. Our language analyses highlighted that people express concerns that are specific to and contextually related to the COVID-19 crisis.ConclusionsWe studied the psychosocial effects of the COVID-19 crisis by using social media data from 2020, finding that people’s mental health symptomatic and support expressions significantly increased during the COVID-19 period as compared to similar data from 2019. However, this effect gradually lessened over time, suggesting that people adapted to the circumstances and their “new normal.” Our linguistic analyses revealed that people expressed mental health concerns regarding personal and professional challenges, health care and precautionary measures, and pandemic-related awareness. This study shows the potential to provide insights to mental health care and stakeholders and policy makers in planning and implementing measures to mitigate mental health risks amid the health crisis.

Suicide in the United States is a major public health problem with approximately 42,000 reported suicides in 2014 among persons aged >10 years (1). The overall suicide rate is increasing, with a 27% increase from 2000 (12.1 per 100,000 population) to 2014 (15.4 per 100,000) (Figure 1). Males, youths and young adults, and certain racial/ethnic groups have historically had higher rates of suicide. In 2014, suicide rates were approximately four times higher among males (24.3 per 100,000) than females (6.8 per 100,000), and suicide was the second leading cause of death among youths and young adults aged 10-34 years (1). Among persons aged 10-24 years, the 2014 suicide rate among non-Hispanic American Indian/Alaska Natives was 20.2 per 100,000, 1.9 times higher than non-Hispanic whites (10.5 per 100,000), 3.5 times higher than non-Hispanic blacks (5.8 per 100,000), and 3.7 times higher than Hispanics (5.5 per 100,000) (1). Adults aged 35-64 years are an emerging group at risk, with suicide rates increasing 33% since 2000 and accounting for the largest proportion of suicides (1).

Importance Suicide has been a leading manner of death for US Air Force personnel in recent years. Universal prevention programs that reduce suicidal thoughts and behaviors in military populations have not been identified. Objectives To determine whether the Wingman-Connect program for Airmen-in-training reduces suicidal ideation, depression, and occupational problems compared with a stress management program and to test the underlying network health model positing that cohesive, healthy units are protective against suicidal ideation. Design, setting, and participants This cluster randomized clinical trial was conducted from October 2017 to October 2019 and compared classes of personnel followed up for 6 months. The setting was a US Air Force technical training school, with participants studied to their first base assignment, whether US or international. Participants in 216 classes were randomized, with an 84% retention rate. Data analysis was performed from November 2019 to May 2020. Interventions The Wingman-Connect program used group skill building for cohesion, shared purpose, and managing career and personal stressors (3 blocks of 2 hours each). Stress management training covered cognitive and behavioral strategies (2 hours). Both conditions had a 1-hour booster session, plus text messages. Main outcomes and measures The primary outcomes were scores on the suicidal ideation and depression scales of the Computerized Adaptive Test for Mental Health and self-reports of military occupational impairment. Class network protective factors hypothesized to mediate the effect of Wingman-Connect were assessed with 4 measures: cohesion assessed perceptions that classmates cooperate, work well together, and support each other; morale was measured with a single item used in other studies with military samples; healthy class norms assessed perceptions of behaviors supported by classmates; and bonds to classmates were assessed by asking each participant to name classmates whom they respect and would choose to spend time with. Results A total of 215 classes including 1485 individuals (1222 men [82.3%]; mean [SD] age, 20.9 [3.1] years) participated; 748 individuals were enrolled in the Wingman-Connect program and 737 individuals were enrolled in the stress management program. At 1 month, the Wingman-Connect group reported lower suicidal ideation severity (effect size [ES], -0.23; 95% CI, -0.39 to -0.09; P = .001) and depression symptoms (ES, -0.24; 95% CI, -0.41 to -0.08; P = .002) and fewer occupational problems (ES, -0.14; 95% CI, -0.31 to -0.02; P = .02). At 6 months, the Wingman-Connect group reported lower depression symptoms (ES, -0.16; 95% CI, -0.34 to -0.02; P = .03), whereas the difference in suicidal ideation severity was not significant (ES, -0.13; 95% CI, -0.29 to 0.01; P = .06). The number needed to treat to produce 1 fewer participant with elevated depression at either follow-up point was 21. The benefits of the training on occupational problems did not extend past 1 month. The Wingman-Connect program strengthened cohesive, healthy class units, which helped reduce suicidal ideation severity (estimate, -0.035; 95% CI, -0.07 to -0.01; P = .02) and depression symptom scores (estimate, -0.039; 95% CI, -0.07 to -0.01; P = .02) at 1 month. Conclusions and relevance Wingman-Connect is the first universal prevention program to reduce suicidal ideation and depression symptoms in a general Air Force population. Group training that builds cohesive, healthy military units is promising for upstream suicide prevention and may be essential for ecological validity. Extension of the program to the operational Air Force is recommended for maintaining continuity and testing the prevention impact on suicidal behavior. Trial registration ClinicalTrials.gov Identifier: NCT04067401.

Collectively, the epidemic increases in the United States of opioid-related deaths and suicides during the first two decades of the 21st century have exposed shortcomings in current forensic and epidemiological approaches for determining and codifying manner of death—a vital function fulfilled by medical examiners, coroners and nosologists—the foundation for the National Violent Death Reporting System (NVDRS), an incident-based surveillance system providing individual-level information on decedent characteristics, manner, cause and circumstances of suicide, homicide and other violent injury deaths. Drug intoxication deaths are generally classified as ‘accidents’ or unintentional, a fundamental mischaracterisation; most arose from repetitive self-harm behaviours related to substance acquisition and misuse. Moreover, given the burden of affirmative evidence required to determine suicide, many of these ‘accidents’ likely reflected unrecognised intentional acts—that is, suicides. Addition of a simple checkbox for self-injury mortality on the death certificate would enrich the National Death Index and NVDRS, and in turn, inform prevention and clinical research, and enhance the evaluation of prevention programmes and therapeutic regimens.