Clinical reappraisal of the Composite International Diagnostic Interview Screening Scales (CIDI-SC) in the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS)

Mental disorders and sexual orientation in college students across 13 countries of differing levels of LGBTQ+ acceptance

Mental health disparities have been reported among sexual minority individuals; minority stress theory posits that such disparities are a result of stigma and discrimination. We estimated the prevalence of mental disorders across sexual orientation groups among first-year college students and whether differences across sexual orientation groups varied by gender and country-level LGBTQ+ (lesbian, gay, bisexual, transgender, queer) social acceptance. Using data (N = 53,175; 13 countries) from the World Mental Health Surveys International College Surveys, we performed multilevel logistic regressions to estimate the associations between sexual orientation (i.e., heterosexual, heterosexual with same-gender attraction [SGA], gay/lesbian, bisexual, asexual, questioning, and other) and five twelve-month DSM-5 disorders (major depressive disorder, generalized anxiety disorder, panic disorder, alcohol use disorder, drug use disorder). Heterosexual students with SGA (AORs 1.30-2.15), gay/lesbian (AORs 1.49-2.70), bisexual (AORs 2.26-3.49), questioning (AORs 1.38-2.04), and "other" (AORs 1.76-2.94) students had higher odds of all disorders compared to heterosexual students with no SGA; asexual students did not. Significant interactions with gender show that the gender difference in prevalence was greater among bisexual individuals for most disorders and among all sexual minorities (except "other") for drug use disorder. Significant interactions with country level LGBT+ social acceptance showed some sexual minority groups had lower odds (AORs 0.83-0.95) of disorder as country-level acceptance increased. These findings provide further evidence of mental disorder disparities across a wide range of sexual orientations and how these disparities vary by gender and societal LGBTQ+ acceptance in students from diverse countries.

Prevalence, age-of-onset, and course of mental disorders among 72,288 first-year university students from 18 countries in the World Mental Health International College Student (WMH-ICS) initiative

BACKGROUND

The college years are a developmentally sensitive period for mental disorder onset. Reliable epidemiological data are critical for informing public health responses. This study aimed to estimate prevalence and socio-demographic distributions of common DSM-5 mental disorders among first-year university students from 77 universities across 18 countries.

METHODS

Data were collected 2017-2023 in the World Mental Health International College Student Initiative with n = 72,288 university students. Online surveys assessed alcohol use, attention-deficit/hyperactivity, bipolar, drug use, generalized anxiety, major depression, panic, and post-traumatic stress disorders with validated screening scales. Socio-demographics included student age, sex at birth, gender modality, sexual orientation, and parent education.

RESULTS

The weighted mean response rate was 20.8%. Data were calibrated for differential response rates by sex at birth and age. 65.2% of respondents screened positive for lifetime mental disorders and 57.4% for 12-month mental disorders. Females had higher prevalence of internalizing disorders and males of substance and attention-deficit/hyperactivity disorders. Older age was associated with lower prevalence of most 12-month but not lifetime mental disorders. Non-heterosexual sexual orientation and identifying as transgender were associated with highest prevalence of most mental disorders. Parent education was for the most part uncorrelated with prevalence.

CONCLUSIONS

Although prevalence might have been overestimated due to the low response rate and possible screening scale miscalibration, results nonetheless suggest that mental disorders are highly prevalent among first-year university students worldwide and are widely distributed with respect to socio-demographic characteristics. These findings highlight the need to implement effective interventions to better support first-year university student mental health.

Explainable AI-based suicidal and non-suicidal ideations detection from social media text with enhanced ensemble technique

This research presents a novel framework for distinguishing between actual and non-suicidal ideation in social media interactions using an ensemble technique. The prompt identification of sentiments on social networking platforms is crucial for timely intervention serving as a key tactic in suicide prevention efforts. However, conventional AI models often mask their decision-making processes primarily designed for classification purposes. Our methodology, along with an updated ensemble method, bridges the gap between Explainable AI and leverages a variety of machine learning algorithms to improve predictive accuracy. By leveraging Explainable AI's interpretability to analyze the features, the model elucidates the reasoning behind its classifications leading to a comprehension of hidden patterns associated with suicidal ideations. Our system is compared to cutting-edge methods on several social media datasets using experimental evaluations, demonstrating that it is superior, since it detects suicidal content more accurately than others. Consequently, this study presents a more reliable and interpretable strategy (F1-score for suicidal = 95.5% and Non-Suicidal = 99%), for monitoring and intervening in suicide-related online discussions.

Antecedents, reasons for, and consequences of suicide attempts: Results from a qualitative study of 89 suicide attempts among army soldiers

Most studies aimed at understanding suicidal behavior have focused on quantifying the associations between putative risk factors and suicidal behavior in comparative studies of cases and controls. The current study, in comparison, exclusively focused on cases-89 Army soldiers presenting for hospital care following a suicide attempt-and attempted to reveal the antecedents of, reasons for, and consequences of suicide attempts. This mixed-methods study using qualitative interviews and self-report surveys/interviews revealed that in most cases, the most recent onset of suicidal thoughts began shortly before the suicide attempt and were not disclosed to others, limiting opportunities for intervention via traditional approaches. The primary reason given for attempting suicide was to escape from psychologically aversive conditions after concluding that no other effective strategies or options were available. Participants reported both negative (e.g., self-view, guilt) and positive (e.g., learning new skills, receiving support) consequences of their suicide attempt-and described things they believe would have prevented them from making the attempt. These findings provide new insights into the motivational and contextual factors for suicidal behavior and highlight several novel directions for prevention and intervention efforts. (PsycInfo Database Record (c) 2025 APA, all rights reserved).

Epigenome-wide association studies identify novel DNA methylation sites associated with PTSD: a meta-analysis of 23 military and civilian cohorts

BACKGROUND

The occurrence of post-traumatic stress disorder (PTSD) following a traumatic event is associated with biological differences that can represent the susceptibility to PTSD, the impact of trauma, or the sequelae of PTSD itself. These effects include differences in DNA methylation (DNAm), an important form of epigenetic gene regulation, at multiple CpG loci across the genome. Moreover, these effects can be shared or specific to both central and peripheral tissues. Here, we aim to identify blood DNAm differences associated with PTSD and characterize the underlying biological mechanisms by examining the extent to which they mirror associations across multiple brain regions.

METHODS

As the Psychiatric Genomics Consortium (PGC) PTSD Epigenetics Workgroup, we conducted the largest cross-sectional meta-analysis of epigenome-wide association studies (EWASs) of PTSD to date, involving 5077 participants (2156 PTSD cases and 2921 trauma-exposed controls) from 23 civilian and military studies. PTSD diagnosis assessments were harmonized following the standardized guidelines established by the PGC-PTSD Workgroup. DNAm was assayed from blood using Illumina HumanMethylation450 or MethylationEPIC (850 K) BeadChips. Within each cohort, DNA methylation was regressed on PTSD, sex (if applicable), age, blood cell proportions, and ancestry. An inverse variance-weighted meta-analysis was performed. We conducted replication analyses in tissue from multiple brain regions, neuronal nuclei, and a cellular model of prolonged stress.

RESULTS

We identified 11 CpG sites associated with PTSD in the overall meta-analysis (1.44e - 09 < p < 5.30e - 08), as well as 14 associated in analyses of specific strata (military vs civilian cohort, sex, and ancestry), including CpGs in AHRR and CDC42BPB. Many of these loci exhibit blood-brain correlation in methylation levels and cross-tissue associations with PTSD in multiple brain regions. Out of 9 CpGs annotated to a gene expressed in blood, methylation levels at 5 CpGs showed significant correlations with the expression levels of their respective annotated genes.

CONCLUSIONS

This study identifies 11 PTSD-associated CpGs and leverages data from postmortem brain samples, GWAS, and genome-wide expression data to interpret the biology underlying these associations and prioritize genes whose regulation differs in those with PTSD.

A prediction model for differential resilience to the effects of combat-related stressors in US army soldiers

OBJECTIVES

To develop a composite score for differential resilience to effects of combat-related stressors (CRS) on persistent DSM-IV post-traumatic stress disorder (PTSD) among US Army combat arms soldiers using survey data collected before deployment.

METHODS

A sample of n = 2542 US Army combat arms soldiers completed a survey shortly before deployment to Afghanistan and then again two to three and 8-9 months after redeployment. Retrospective self-reports were obtained about CRS. Precision treatment methods were used to determine whether differential resilience to persistent PTSD in the follow-up surveys could be developed from pre-deployment survey data in a 60% training sample and validated in a 40% test sample.

RESULTS

40.8% of respondents experienced high CRS and 5.4% developed persistent PTSD. Significant test sample heterogeneity was found in resilience (t = 2.1, p = 0.032), with average treatment effect (ATE) of high CRS in the 20% least resilient soldiers of 17.1% (SE = 5.5%) compared to ATE = 3.8% (SE = 1.2%) in the remaining 80%. The most important predictors involved recent and lifetime pre-deployment distress disorders.

CONCLUSIONS

A reliable pre-deployment resilience score can be constructed to predict variation in the effects of high CRS on persistent PTSD among combat arms soldiers. Such a score could be used to target preventive interventions to reduce PTSD or other resilience-related outcomes.

Examining the association between aggression and suicide attempts among army soldiers

BACKGROUND

Suicide is a major concern among active-duty military personnel. Aggression represents a salient risk factor for suicide among civilians, yet is relatively understudied among military populations. Although several theories posit a relation between aggression and suicide with putative underlying mechanisms of social isolation, access to firearms, and alcohol use, researchers have yet to test these potential mediators. This study uses rich, longitudinal data from the Army Study to Assess Risk and Resilience (STARRS) Pre/Post Deployment Study (PPDS) to examine whether aggression longitudinally predicts suicide attempts and to identify mediators of this association.

METHODS

Army soldiers (N = 8483) completed assessments 1 month prior to deployment and 1, 2-3, and 9-12 months post-deployment. Participants reported on their physical and verbal aggression, suicide attempts, social network size, firearm ownership, and frequency of alcohol use.

RESULTS

As expected, pre-deployment aggression was significantly associated with suicide attempts at 12-months post-deployment even after controlling for lifetime suicide attempts. Social network size and alcohol use frequency mediated this association, but firearm ownership did not.

CONCLUSIONS

Findings further implicate aggression as an important suicide risk factor among military personnel and suggest that social isolation and alcohol use may partially account for this association.

Internet Gaming Disorder and the Incidence of Suicide-related Ideation and Behaviors in College Students

OBJECTIVES

The longitudinal associations between DSM-5 Internet Gaming Disorder (IGD) and suicide-related ideation and behaviors have not been explored. In this study, we therefore seek to examine the association between baseline IGD and incident suicide ideation, plans, and attempts.

METHODS

This is a prospective cohort study of 2586 Mexican college students followed up from September 2018 to June 2022. We estimated hazards ratios modeling incidence of suicide ideation, plans, and attempts by fitting proportional hazards Cox models with person-time scaled in years.

RESULTS

Among 2140 students without suicide ideation at baseline, there were 467 incident cases in 3987.6 person-years; ideation incidence rates were 179 cases per 1000 person-years among students with IGD and 114 cases per 1000 person-years among those without IGD. Incidence rates for suicide plans were 67 and 39 per 1000 among IGD and non-IGD students, and 15 and 10 per 1000, respectively for attempts. After controlling for age, sex, and mood, anxiety, and substance use disorders, IGD was associated with an 83% increased risk of suicide ideation. Although incidence rate estimates for plans and attempts were higher among students with IGD, results were not statistically significant.

CONCLUSIONS

This study helps to raise awareness of the increased risk of at least suicidal ideation in people experiencing IGD. Clinicians treating patients with IGD may encounter complaints of suicide ideation over time, and even reports of suicidal behavior that should not be disregarded. Identifying these patients and treating/referring them for underlying suicidality should form part of IGD treatment.

Suicide without warning: Results from the Army Study to Assess Risk and Resilience in Servicemembers (STARRS)

Objectives

The rate of suicide increased in members of the United States Army since 2011 after the Iraq and Afghanistan wars and continues to be a major concern. In order to reverse this disturbing trend, it is vital to understand the risk and protective factors for suicide death in servicemembers.

Methods

Data were obtained from a case-control psychological autopsy study, which compared U.S. Army suicide decedent cases (n = 135) to a probability sample of living controls (n = 255) who are also service members weighted to be representative of the Army. Interviews were conducted with next-of-kin (NOK) and supervisor (SUP) informants. Multivariable logistic regressions models were constructed using predictors significant after controlling for multiple comparisons.

Results

The most parsimonious multivariable model controlling for deployment status, as reported by SUP predicting suicide death consisted of four significant variables: a spouse or partner left him or her in the past month (OR = 28.5 [95% CI = 1.8, 442.7] χ2 = 5.72, p = .0168); a smaller social network (OR = 4.2 [95% CI = 1.0, 17.3] χ2 = 3.97, p = .0462), less likely to seek help from a mental health counselor (OR = 3.4 [95% CI = 1.2, 9.7] χ2 = 5.35, p = .0207) and more likely to be described as incautious (OR = 3.8 [95% CI = 1.2, 11.7] χ2 = 5.42, p = .0199). The AUC = .88 [95%CI = 0.82, 0.94] for this regression model suggests strong prediction.

Conclusions

Our findings suggest that recent relationship problems, especially in soldiers who are less likely to seek out support from others, may be warning signs for detection and prevention of imminent risk of suicide and according to supervisor informant surveys, had neither evidence of a mental health disorder, nor disclosed suicidal ideation or self-harm. Implications for suicide prevention are discussed.

Attachment Style, Social Support Network, and Lifetime Suicide Ideation and Suicide Attempts Among New Soldiers in the U.S. Army

OBJECTIVE

Attachment style and social support networks (SSN) are associated with suicide ideation (SI) and suicide attempt (SA). How these two factors interact is important to understanding the mechanisms of risk for suicidal behaviors and identifying interventions.

METHOD

Using the Army Study to Assess Risk and Resilience in Servicemembers New Soldier Study (N = 38,507 soldiers), we examined how three attachment styles (preoccupied, fearful, and secure) and SSN (smaller vs larger) were associated with lifetime SI, SA, and SA among soldiers with SI. The interaction of each attachment style by SSN was examined.

RESULTS

All three attachment styles were associated with SI and SA in the total sample (for SA: preoccupied OR = 2.82, fearful OR = 2.84, and secure OR = 0.76). Preoccupied and fearful attachment were associated with SA among suicide ideators. Smaller SSN was associated with a higher risk for all three outcomes (range of ORs = 1.23-1.52). The association of SSN with SI and with SA among suicide ideators was significantly modified by the presence or absence of preoccupied attachment style. Among soldiers without preoccupied attachment, larger SSN was associated with lower risk of SI. Among suicide ideators with preoccupied attachment, a larger SSN was associated with lower risk of SA.

CONCLUSION

This study highlights the need for increased understanding of the role of attachment style and social networks in suicide risk, in particular preoccupied attachment among soldiers with SI. A critical next step is to explore these relationships prospectively to guide intervention development.

The role of unit cohesion and perceived resilience in substance use disorder

Soldiers have high rates of substance use disorders (SUD), often in the aftermath of stressors experienced during military deployments. There are several factors that protect against SUD. For example, individual factors like perceived resilience and group factors such as unit cohesion may make someone less likely to abuse substances. However, there is little research on the differential influence of these resilience factors on SUD over and above deployment stressors. In this study, we examined the relative effects of perceived resilience, unit cohesion, and deployment stressors on SUD in a sample of 21,449 active duty and reserve soldiers from the U.S. Army (primarily White and male, mean age = 28.66, SD = 7.41) using structural equation modeling. We found that unit cohesion (ß = -.17) and perceived resilience (ß = -.16) had negative effects on SUD over and above deployment stressors. The study findings clarify research on resilience to SUD and have implications for addressing substance use in the military, specifically regarding the importance of building unit cohesion.

Factors associated with high and low mental well-being in Spanish university students

BACKGROUND

Previous studies conducted in various nationally representative samples of the general population show that positive mental health is related to social prosperity. However, specific studies in university populations are scarce. In this study, we set out to explore factors associated with mental well-being (MWB) in a representative sample of first-year university students in Spain.

METHODS

MWB was assessed with the short version of the Warwick-Edinburgh Mental Well-Being Scale. Multinomial logistic regressions were performed to explore the association between different blocks of factors, including relational, adversity, stress, lifestyle, spiritual, health, and self-perceived health variables with high and low MWB, controlling for sociodemographic and university-related variables.

RESULTS

Data from 2082 students (18.6 ± 1.2 years; 56.6 % females) were analysed. Being male, being born in a foreign country, "high" self-perceived support, and "high" self-perceived mental health increased the odds of high MWB. Growing up in the suburbs, stressful experiences, and anxiety disorders reduced the odds of high MWB. Mood and anxiety disorders increased the odds of low MWB. "Middle" self-perceived support, sleeping ≥8 h per day, and "high" self-perceived mental health reduced the odds of low MWB.

LIMITATIONS

The cross-sectional design precludes establishing causal relationships. Data were collected in the 2014-15 academic year using self-reported online surveys.

CONCLUSION

The factors associated with high and low MWB do not always mirror each other, so specific plans are needed to successfully address each of the two poles. Interventions and policies targeting these factors for health promotion and disease prevention would improve the MWB of university students.

Development of a brief bedside tool to screen women sexual assault survivors for risk of persistent posttraumatic stress six months after sexual assault

This study aims to develop and validate a brief bedside tool to screen women survivors presenting for emergency care following sexual assault for risk of persistent elevated posttraumatic stress symptoms (PTSS) six months after assault. Participants were 547 cisgender women sexual assault survivors who presented to one of 13 sexual assault nurse examiner (SANE) programs for medical care within 72 h of a sexual assault and completed surveys one week and six months after the assault. Data on 222 potential predictors from the SANE visit and the week one survey spanning seven broadly-defined risk factor domains were candidates for inclusion in the screening tool. Elevated PTSS six months after assault were defined as PCL-5 > 38. LASSO logistic regression was applied to 20 randomly selected bootstrapped samples to evaluate variable importance. Logistic regression models comprised of the top 10, 20, and 30 candidate predictors were tested in 10 cross-validation samples drawn from 80% of the sample. The resulting instrument was validated in the remaining 20% of the sample. AUC of the finalized eight-item prediction tool was 0.77 and the Brier Score was 0.19. A raw score of 41 on the screener corresponds to a 70% risk of elevated PTSS at 6 months. Similar performance was observed for elevated PTSS at one year. This brief, eight-item risk stratification tool consists of easy-to-collect information and, if validated, may be useful for clinical trial enrichment and/or patient screening.

Impact of COVID-19 first wave on the mental health of healthcare workers in a Front-Line Spanish Tertiary Hospital: lessons learned

Healthcare workers (HCWs) were at high risk of experiencing psychological distress during COVID-19 pandemic. The objective of this study was to evaluate the impact on HCWs' mental health in a Spanish hospital. Cross-sectional study of HCW, active between May and June 2020. A web-based survey assessed probable current mental disorders (major depressive disorder [PHQ-8 ≥ 10], generalized anxiety disorder [GAD-7 ≥ 10], panic attacks, post-traumatic stress disorder [PTSD; PLC-5 ≥ 7], or substance use disorder [CAGE-AID ≥ 2]). The Sheehan Disability Scale (SDS) was used to assess severe impairment and items taken from the modified self-report version of the Columbia Suicide Severity Rating Scale (C-SSRS) assessed suicidal thoughts and behaviors. A total of 870 HCWs completed the survey. Most frequent probable mental disorders were major depressive disorder (33.6%), generalized anxiety disorder (25.5%), panic attacks (26.9%), PTSD (27.2%), and substance use disorder (5.0%). Being female, having aged 18-29 years, being an auxiliary nurse, direct exposure to COVID-19-infected patients, and pre-pandemic lifetime mental disorders were positively associated with mental issues. Hospital HCWs presented a high prevalence of symptoms of mental disorders, especially depression, PTSD, panic attacks, and anxiety. Younger individuals and those with lifetime mental disorders have been more vulnerable to experiencing them.

Health service and psychotropic medication use for mental health conditions among healthcare workers active during the Spain Covid-19 Pandemic - A prospective cohort study using web-based surveys

Little is known about healthcare workers' (HCW) use of healthcare services for mental disorders. This study presents data from a 16-month prospective cohort study of Spanish HCW (n = 4,809), recruited shortly after the COVID-19 pandemic onset, and assessed at four timepoints using web-based surveys. Use of health services among HCW with mental health conditions (i.e., those having a positive screen for mental disorders and/or suicidal thoughts and behaviours [STB]) was initially low (i.e., 18.2 %) but increased to 29.6 % at 16-month follow-up. Service use was positively associated with pre-pandemic mental health treatment (OR=1.99), a positive screen for major depressive disorder (OR=1.50), panic attacks (OR=1.74), suicidal thoughts and behaviours (OR=1.22), and experiencing severe role impairment (OR=1.33), and negatively associated with being female (OR = 0.69) and a higher daily number of work hours (OR=0.95). Around 30 % of HCW with mental health conditions used anxiolytics (benzodiazepines), especially medical doctors. Four out of ten HCW (39.0 %) with mental health conditions indicated a need for (additional) help, with most important barriers for service use being too ashamed, long waiting lists, and professional treatment not being available. Our findings delineate a clear mental health treatment gap among Spanish HCW.

Mental health services for German university students: acceptance of intervention targets and preference for delivery modes

Introduction

Most university students with mental disorders remain untreated. Evaluating the acceptance of intervention targets in mental health treatment, promotion, and prevention, as well as mental health service delivery modes is crucial for reducing potential barriers, increasing healthcare utilization, and efficiently allocating resources in healthcare services.

Aim

The study aimed to evaluate the acceptance of various intervention targets and delivery modes of mental health care services in German first-year university students.

Methods

In total, 1,376 first-year students from two German universities from the 2017-2018 multi-center cross-sectional cohort of the StudiCare project, the German arm of the World Mental Health International College Student Survey initiative, completed a web-based survey assessing their mental health. Mental disorder status was based on self-reported data fulfilling the DSM-IV criteria. We report frequencies of accepted delivery modes [categories: group or in-person therapy with on or off campus services, self-help internet- or mobile-based intervention (IMI) with or without coaching, or a combination of a in-person and IMI (blended)]. In a multinomial logistic regression, we estimate correlates of the preference for in-person vs. IMI vs. a combination of both modes (blended) modalities. Additionally, we report frequencies of intervention targets (disorder specific: e.g., social phobia, depressive mood; study-related: test anxiety, procrastination; general well-being: sleep quality, resilience) their association with mental disorders and sex, and optimal combinations of treatment targets for each mental illness.

Results

German university students' acceptance is high for in-person (71%-76%), moderate for internet- and mobile-based (45%-55%), and low for group delivery modes (31%-36%). In-person treatment (72%) was preferred over IMI (19%) and blended modalities (9%). Having a mental disorder [odds ratio (OR): 1.56], believing that digital treatments are effective (OR: 3.2), and showing no intention to use services (OR: 2.8) were associated with a preference for IMI compared to in-person modes. Students with prior treatment experience preferred in-person modes (OR: 0.46). In general, treatment targets acceptance was higher among female students and students with mental disorders. However, this was not true for targets with the highest (i.e., procrastination) and the lowest (i.e., substance-use disorder) acceptance. If only two intervention targets were offered, a combination of study-related targets (i.e., procrastination, stress, time management) would reach 85%-88% of the students.

Conclusion

In-person services are preferred, yet half of the students consider using IMI, preferably aiming for a combination of at least two study-related intervention targets. Student mental health care services should offer a combination of accepted targets in different delivery modes to maximize service utilization.

Suicidal Ideation and Behavior Among Mexican University Students Before and During the COVID-19 Pandemic

OBJECTIVE

The COVID-19 pandemic has affected the mental health of populations around the world, but few longitudinal studies of its impact on suicidal thoughts and behaviors have been published especially from low- and middle-income countries.

METHODS

This is a prospective cohort study of 1,385 first-year students from 5 Universities in Mexico followed-up for 1 year. We report 1-year cumulative incidence of suicidal thoughts and behaviors before (September 19, 2019-March 29, 2020) and during the COVID-19 period (March 30, 2020-June 30, 2020), focusing on those in the COVID-19 period with risk conditions and positive coping strategies during the pandemic.

RESULTS

There was an increase in the incidence of suicidal ideation during the COVID-19 period compared to the pre-COVID-19 period (RR 1.65, 95%CI 1.08-2.50). This increase was mostly found among students with heightened sense of vulnerability (RR 1.95), any poor coping behavior (RR 2.40) and a prior mental disorder (RR 2.41). While we found no evidence of an increased risk of suicidal planning or attempts, there was evidence that those without lifetime mental health disorders were at greater risk of suicidal plans than those with these disorders especially if they had poor coping strategies (RR 3.14).

CONCLUSION

In the short term, how students deal with the pandemic, being at high risk and having poor coping behavior, increased the new occurrence of suicidal thoughts and behaviors. Studies with longer follow-up and interventions to reduce or enhance these behaviors are needed.HIGHLIGHTSSuicidal ideation increased during the COVID-19 periodThose with heightened sense of vulnerability and poor coping were more affectedStudies with longer follow-up are needed.

Treatment rates and barriers to mental health service utilisation among university students in South Africa

BACKGROUND

Mental health problems are common and impairing among university students, yet only a minority of students with psychological disorders access treatment. Understanding barriers to treatment is integral to planning services, especially in resource constrained settings like South Africa (SA).

METHODS

Data collected across 17 institutions in the online SA National Student Mental Health Survey were used to: (1) estimate 12-month prevalence of common mental health problems and self-harm; (2) estimate the proportion of students receiving treatments for the various mental health problems; (3) explore barriers to treatment; and (4) investigate sociodemographic predictors of treatment mediated through the various barriers endorsed by students with mental health problems. Prevalence analyses were carried out using cross-tabulations and prediction analyses using modified Poisson regression models.

RESULTS

Prevalence of clinically significant mental health problems is high relative to international comparisons, with the prevalence of severe, mild and moderate symptoms of any disorder and/or self-harm of 24.8% (SD = 0.3), 18.8% (SD = 0.3) and 27.6% (SD = 0.4) respectively. Treatment rates were 35.2% (S.E. = 0.6) among students with mental health problems who perceived need for treatment and 21.3% (S.E. = 0.4) irrespective of perceived need. Treatment rates were highest for mood disorders (29.9%, S.E. = 0.6) and lowest for externalising disorders (23.8%, S.E. = 0.5). Treatment rates were much less variable across disorder types among students with perceived need than irrespective of perceived need, indicating that perceived need mediated the associations of disorder types with received treatment. Adjusting for disorder profile, probability of obtaining treatment was significantly and positively associated with older age, female gender, study beyond the first year, traditional sexual orientation, and diverse indicators of social advantage (full-time study, high parent education, and attending Historically White Institutions). Among students with mental health problems, numerous barriers to treatment were reported adjusting for disorder profile, including lack of perceived need (39.5%, S.E. = 0.5) and, conditional on perceived need, psychological (54.4%, S.E. = 1.0), practical (77.3%, S.E. = 1.1), and other (79.1%, S.E. = 1.1) barriers. Typically, students reported multiple barriers to treatment. Differences in perceived need explained the gender difference in treatment, whereas practical barriers were most important in accounting for the other predictors of treatment.

CONCLUSION

Mental health problems are highly prevalent but seldom treated among SA university students. Although many barriers were reported, practical barriers were especially important in accounting for the associations of social disadvantage with low rates of treatment. Many of these practical barriers are however addressable.

Resilience in Army STARRS: Evaluating psychometrics of a multi-dimensional resilience measure

As policymakers and the U.S. military continue to place an emphasis on the resilience of servicemembers, it is critical to utilize psychometrically sound and valid scales to measure resilience. Using two independent samples of Army soldiers-in-training, this study explored the measurement of resilience in the Army Study to Assess Risk and Resilience among Servicemembers (Army STARRS) New Soldier Study Component (NSS). Exploratory factor analysis (EFA) was used to identify the factor structure of a measure of resilience within the Army STARRS NSS. Confirmatory factor analysis (CFA) was then used to confirm the factor structure, then internal reliability was assessed. Convergent validity of the identified resilience factors was examined using two-tailed bivariate correlations. The EFA identified a three-factor structure of a measure of resilience. The CFA confirm the first-order three-factor structure of stress tolerance, positive orientation, and social resources. Each factor was uniquely distinct from measures of the likelihood of generalized anxiety disorder and major depressive disorder, lifetime stressful events, and social network. Findings highlights the utility of a three-factor aggregate measure of resilience in the Army STARRS NSS and provide practitioners with a more nuanced picture of the role of resilience among soldiers-in-training.

A longitudinal investigation of non-suicidal self-injury persistence patterns, risk factors, and clinical outcomes during the college period

BACKGROUND

Although non-suicidal self-injury (NSSI) is known typically to begin in adolescence, longitudinal information is lacking about patterns, predictors, and clinical outcomes of NSSI persistence among emerging adults. The present study was designed to (1) estimate NSSI persistence during the college period, (2) identify risk factors and high-risk students for NSSI persistence patterns, and (3) evaluate the association with future mental disorders and suicidal thoughts and behaviors (STB).

METHODS

Using prospective cohorts from the Leuven College Surveys (n = 5915), part of the World Mental Health International College Student Initiative, web-based surveys assessed mental health and psychosocial problems at college entrance and three annual follow-up assessments.

RESULTS

Approximately one in five (20.4%) students reported lifetime NSSI at college entrance. NSSI persistence was estimated at 56.4%, with 15.6% reporting a high-frequency repetitive pattern (≥five times yearly). Many hypothesized risk factors were associated with repetitive NSSI persistence, with the most potent effects observed for pre-college NSSI characteristics. Multivariate models suggest that an intervention focusing on the 10-20% at the highest predicted risk could effectively reach 34.9-56.7% of students with high-frequency repetitive NSSI persistence (PPV = 81.8-93.4, AUC = 0.88-0.91). Repetitive NSSI persistence during the first two college years predicted 12-month mental disorders, role impairment, and STB during the third college year, including suicide attempts.

CONCLUSIONS

Most emerging adults with a history of NSSI report persistent self-injury during their college years. Web-based screening may be a promising approach for detecting students at risk for a highly persistent NSSI pattern characterized by subsequent adverse outcomes.

Experience sampling methods for the personalised prediction of mental health problems in Spanish university students: protocol for a survey-based observational study within the PROMES-U project

INTRODUCTION

There is a high prevalence of mental health problems among university students. Better prediction and treatment access for this population is needed. In recent years, short-term dynamic factors, which can be assessed using experience sampling methods (ESM), have presented promising results for predicting mental health problems.

METHODS AND ANALYSIS

Undergraduate students from five public universities in Spain are recruited to participate in two web-based surveys (at baseline and at 12-month follow-up). A subgroup of baseline participants is recruited through quota sampling to participate in a 15-day ESM study. The baseline survey collects information regarding distal risk factors, while the ESM study collects short-term dynamic factors such as affect, company or environment. Risk factors will be identified at an individual and population level using logistic regressions and population attributable risk proportions, respectively. Machine learning techniques will be used to develop predictive models for mental health problems. Dynamic structural equation modelling and multilevel mixed-effects models will be considered to develop a series of explanatory models for the occurrence of mental health problems.

ETHICS AND DISSEMINATION

The project complies with national and international regulations, including the Declaration of Helsinki and the Code of Ethics, and has been approved by the IRB Parc de Salut Mar (2020/9198/I) and corresponding IRBs of all participating universities. All respondents are given information regarding access mental health services within their university and region. Individuals with positive responses on suicide items receive a specific alert with indications for consulting with a health professional. Participants are asked to provide informed consent separately for the web-based surveys and for the ESM study. Dissemination of results will include peer-reviewed scientific articles and participation in scientific congresses, reports with recommendations for universities' mental health policy makers, as well as a well-balanced communication strategy to the general public.

STUDY REGISTRATION

osf.io/p7csq.

A longitudinal study on the impact of Internet gaming disorder on self-perceived health, academic performance, and social life of first-year college students

BACKGROUND AND OBJECTIVES

Internet gaming disorder (IGD) is associated with health, social, and academic problems but whether these are consequences of the disorder rather than precursors or correlates is unclear. We aimed to evaluate whether IGD in the 1st year of university predicts health, academic and social problems 1 year later, controlling for baseline health, academic and social problems, demographics, and mental health symptoms.

METHODS

In a prospective cohort study, 1741 university students completed both a baseline online survey in their 1st year and a follow-up survey 1 year later. Log-binomial models examined the strength of prospective associations between baseline predictor variables (IGD, baseline health, academic and social problems, sex, age, and mental health symptoms) and occurrence of health, academic and social problems at follow-up.

RESULTS

When extensively adjusted by the corresponding outcome at baseline, any mental disorder symptoms, sex, and age, baseline IGD was associated only with severe school impairment and poor social life (risk ratio [RR] = 1.77; 95% confidence interval [CI] = 1.14-2.75, p = .011; RR = 1.22; 95% CI = 1.07-1.38, p = .002, respectively).

CONCLUSIONS AND SCIENTIFIC SIGNIFICANCE

University authorities and counselors should consider that incoming 1st-year students that meet criteria for IGD are likely to have increased academic and social impairments during their 1st year for which they may want to intervene. This study adds to the existing literature by longitudinally examining a greater array of negative outcomes of IGD than previously documented.

Development and Validation of a Machine Learning Prediction Model of Posttraumatic Stress Disorder After Military Deployment

Importance

Military deployment involves significant risk for life-threatening experiences that can lead to posttraumatic stress disorder (PTSD). Accurate predeployment prediction of PTSD risk may facilitate the development of targeted intervention strategies to enhance resilience.

Objective

To develop and validate a machine learning (ML) model to predict postdeployment PTSD.

Design, Setting, and Participants

This diagnostic/prognostic study included 4771 soldiers from 3 US Army brigade combat teams who completed assessments between January 9, 2012, and May 1, 2014. Predeployment assessments occurred 1 to 2 months before deployment to Afghanistan, and follow-up assessments occurred approximately 3 and 9 months post deployment. Machine learning models to predict postdeployment PTSD were developed in the first 2 recruited cohorts using as many as 801 predeployment predictors from comprehensive self-report assessments. In the development phase, cross-validated performance metrics and predictor parsimony were considered to select an optimal model. Next, the selected model's performance was evaluated with area under the receiver operating characteristics curve and expected calibration error in a temporally and geographically distinct cohort. Data analyses were performed from August 1 to November 30, 2022.

Main Outcomes and Measures

Posttraumatic stress disorder diagnosis was assessed by clinically calibrated self-report measures. Participants were weighted in all analyses to address potential biases related to cohort selection and follow-up nonresponse.

Results

This study included 4771 participants (mean [SD] age, 26.9 [6.2] years), 4440 (94.7%) of whom were men. In terms of race and ethnicity, 144 participants (2.8%) identified as American Indian or Alaska Native, 242 (4.8%) as Asian, 556 (13.3%) as Black or African American, 885 (18.3%) as Hispanic, 106 (2.1%) as Native Hawaiian or other Pacific Islander, 3474 (72.2%) as White, and 430 (8.9%) as other or unknown race or ethnicity; participants could identify as of more than 1 race or ethnicity. A total of 746 participants (15.4%) met PTSD criteria post deployment. In the development phase, models had comparable performance (log loss range, 0.372-0.375; area under the curve range, 0.75-0.76). A gradient-boosting machine with 58 core predictors was selected over an elastic net with 196 predictors and a stacked ensemble of ML models with 801 predictors. In the independent test cohort, the gradient-boosting machine had an area under the curve of 0.74 (95% CI, 0.71-0.77) and low expected calibration error of 0.032 (95% CI, 0.020-0.046). Approximately one-third of participants with the highest risk accounted for 62.4% (95% CI, 56.5%-67.9%) of the PTSD cases. Core predictors cut across 17 distinct domains: stressful experiences, social network, substance use, childhood or adolescence, unit experiences, health, injuries, irritability or anger, personality, emotional problems, resilience, treatment, anxiety, attention or concentration, family history, mood, and religion.

Conclusions and Relevance

In this diagnostic/prognostic study of US Army soldiers, an ML model was developed to predict postdeployment PTSD risk with self-reported information collected before deployment. The optimal model showed good performance in a temporally and geographically distinct validation sample. These results indicate that predeployment stratification of PTSD risk is feasible and may facilitate the development of targeted prevention and early intervention strategies.

Calibrating the Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) for detecting alcohol-related problems among Canadian, UK and US soldiers: cross-sectional pre-deployment and post-deployment survey results

OBJECTIVES

Excessive alcohol use can bring about adverse health and work-related consequences in civilian and military populations. Screening for excessive drinking can help identify individuals at risk for alcohol-related problems who may require clinical interventions. The brief validated measures of alcohol use such as the Alcohol Use Disorders Identification Test (AUDIT), or abbreviated AUDIT-Consumption (AUDIT-C), are often included in military deployment screening and epidemiologic surveys, but appropriate cut-points must be used to effectively identify individuals at risk. Although the conventional AUDIT-C cut-points ≥4 for men and ≥3 for women are commonly used, recent validation studies of veterans and civilians recommend higher cut-points to minimise misclassification and overestimation of alcohol-related problems. This study aims to ascertain optimal AUDIT-C cut-points for detecting alcohol-related problems among serving Canadian, UK and US soldiers.

DESIGN

Cross-sectional pre/post-deployment survey data were used.

SETTINGS

Comprised Army locations in Canada and UK, and selected US Army units.

PARTICIPANTS

Included soldiers in each of the above-mentioned settings.

OUTCOME MEASURES

Soldiers' AUDIT scores for hazardous and harmful alcohol use or high levels of alcohol problems served as a benchmark against which optimal sex-specific AUDIT-C cut-points were assessed.

RESULTS

Across the three-nation samples, AUDIT-C cut-points of ≥6/7 for men and ≥5/6 for women performed well in detecting hazardous and harmful alcohol use and provided comparable prevalence estimates to AUDIT scores ≥8 for men and ≥7 for women. The AUDIT-C cut-point ≥8/9 for both men and women performed fair-to-good when benchmarked against AUDIT ≥16, although inflated AUDIT-C-derived prevalence estimates and low positive predictive values were observed.

CONCLUSION

This multi-national study provides valuable information regarding appropriate AUDIT-C cut-points for detecting hazardous and harmful alcohol use, and high levels of alcohol problems among soldiers. Such information can be useful for population surveillance, pre-deployment/post-deployment screening of military personnel, and clinical practice.

Childhood adversities and mental disorders in first-year college students: results from the World Mental Health International College Student Initiative

BACKGROUND

This study investigates associations of several dimensions of childhood adversities (CAs) with lifetime mental disorders, 12-month disorder persistence, and impairment among incoming college students.

METHODS

Data come from the World Mental Health International College Student Initiative (WMH-ICS). Web-based surveys conducted in nine countries (n = 20 427) assessed lifetime and 12-month mental disorders, 12-month role impairment, and seven types of CAs occurring before the age of 18: parental psychopathology, emotional, physical, and sexual abuse, neglect, bullying victimization, and dating violence. Poisson regressions estimated associations using three dimensions of CA exposure: type, number, and frequency.

RESULTS

Overall, 75.8% of students reported exposure to at least one CA. In multivariate regression models, lifetime onset and 12-month mood, anxiety, and substance use disorders were all associated with either the type, number, or frequency of CAs. In contrast, none of these associations was significant when predicting disorder persistence. Of the three CA dimensions examined, only frequency was associated with severe role impairment among students with 12-month disorders. Population-attributable risk simulations suggest that 18.7-57.5% of 12-month disorders and 16.3% of severe role impairment among those with disorders were associated with these CAs.

CONCLUSION

CAs are associated with an elevated risk of onset and impairment among 12-month cases of diverse mental disorders but are not involved in disorder persistence. Future research on the associations of CAs with psychopathology should include fine-grained assessments of CA exposure and attempt to trace out modifiable intervention targets linked to mechanisms of associations with lifetime psychopathology and burden of 12-month mental disorders.

Effects of prior deployments and perceived resilience on anger trajectories of combat-deployed soldiers

BACKGROUND

Problematic anger is frequently reported by soldiers who have deployed to combat zones. However, evidence is lacking with respect to how anger changes over a deployment cycle, and which factors prospectively influence change in anger among combat-deployed soldiers.

METHODS

Reports of problematic anger were obtained from 7298 US Army soldiers who deployed to Afghanistan in 2012. A series of mixed-effects growth models estimated linear trajectories of anger over a period of 1-2 months before deployment to 9 months post-deployment, and evaluated the effects of pre-deployment factors (prior deployments and perceived resilience) on average levels and growth of problematic anger.

RESULTS

A model with random intercepts and slopes provided the best fit, indicating heterogeneity in soldiers' levels and trajectories of anger. First-time deployers reported the lowest anger overall, but the most growth in anger over time. Soldiers with multiple prior deployments displayed the highest anger overall, which remained relatively stable over time. Higher pre-deployment resilience was associated with lower reports of anger, but its protective effect diminished over time. First- and second-time deployers reporting low resilience displayed different anger trajectories (stable v. decreasing, respectively).

CONCLUSIONS

Change in anger from pre- to post-deployment varies based on pre-deployment factors. The observed differences in anger trajectories suggest that efforts to detect and reduce problematic anger should be tailored for first-time v. repeat deployers. Ongoing screening is needed even for soldiers reporting high resilience before deployment, as the protective effect of pre-deployment resilience on anger erodes over time.

Mood disorders in higher education in Flanders during the 2nd and 3rd COVID-19 wave: Prevalence and help-seeking: Findings from the Flemish College Surveys (FLeCS)

To examine the prevalence of 12-month mood disorders and receipt of mental health treatment among a volunteer sample of higher education students during the 2nd and 3rd COVID-19 wave in the Flanders region. Web-based self-report surveys were obtained from 9101 students in higher education in the Flemish College Surveys (FLeCS) in Flanders, Belgium. As part of the World Health Organization's World Mental Health-International College Student Initiative, we screened for 12-month mood disorders (major depressive episode (MDE), mania/hypomania), and service use. We used poststratification weights to generate population-representative data on key socio-demographic characteristics. 50.6% of the respondents screened positive for 12-month mood disorders (46.8% MDE, of which 22.9% with very severe impact). Use of services was very low, with estimates of 35.4% for MDE, 31.7% for mania, and 25.5% for hypomania. Even among students with very severe disorders, treatment rates were never higher than 48.3%. Most common barriers for not using services were: the preference to handle the problem alone (83.4%) and not knowing where to seek professional help (79.8%). We found a high unmet need for mood problems among college students; though caution is needed in interpreting these findings given the volunteer nature of the sample. A reallocation of treatment resources for higher education students should be considered, particulary services that focus on innovative, low-threshold, and scalable interventions.

The Heterogeneity of Posttraumatic Stress Disorder in DSM-5

This diagnostic study reports patterns of DSM-5 posttraumatic stress disorder diagnostic presentations from multiple cohorts.

Non-suicidal self-injury among first-year college students and its association with mental disorders: results from the World Mental Health International College Student (WMH-ICS) initiative

BACKGROUND

Although non-suicidal self-injury (NSSI) is an issue of major concern to colleges worldwide, we lack detailed information about the epidemiology of NSSI among college students. The objectives of this study were to present the first cross-national data on the prevalence of NSSI and NSSI disorder among first-year college students and its association with mental disorders.

METHODS

Data come from a survey of the entering class in 24 colleges across nine countries participating in the World Mental Health International College Student (WMH-ICS) initiative assessed in web-based self-report surveys (20 842 first-year students). Using retrospective age-of-onset reports, we investigated time-ordered associations between NSSI and Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-IV) mood (major depressive and bipolar disorder), anxiety (generalized anxiety and panic disorder), and substance use disorders (alcohol and drug use disorder).

RESULTS

NSSI lifetime and 12-month prevalence were 17.7% and 8.4%. A positive screen of 12-month DSM-5 NSSI disorder was 2.3%. Of those with lifetime NSSI, 59.6% met the criteria for at least one mental disorder. Temporally primary lifetime mental disorders predicted subsequent onset of NSSI [median odds ratio (OR) 2.4], but these primary lifetime disorders did not consistently predict 12-month NSSI among respondents with lifetime NSSI. Conversely, even after controlling for pre-existing mental disorders, NSSI consistently predicted later onset of mental disorders (median OR 1.8) as well as 12-month persistence of mental disorders among students with a generalized anxiety disorder (OR 1.6) and bipolar disorder (OR 4.6).

CONCLUSIONS

NSSI is common among first-year college students and is a behavioral marker of various common mental disorders.

Internet Gaming Disorder Does Not Predict Mood, Anxiety or Substance Use Disorders in University Students: A One-Year Follow-Up Study

We seek to evaluate whether Internet Gaming Disorder (IGD) among university students in Mexico during their first year at university predicts a long list of mental disorders a year later, controlling for baseline mental health disorders as well as demographics. This is a prospective cohort study with a one-year follow-up period conducted during the 2018-2019 academic year and followed up during the 2019-2020 academic year at six Mexican universities. Participants were first-year university students (n = 1741) who reported symptoms compatible with an IGD diagnosis at entry (baseline). Outcomes are seven mental disorders (mania, hypomania, and major depressive episodes; generalized anxiety disorder and panic disorder; alcohol use disorder and drug use disorder), and three groups of mental disorders (mood, anxiety, and substance use disorders) at the end of the one-year follow-up. Fully adjusted models, that included baseline controls for groups of mental disorders, rendered all associations null. The association between baseline IGD and all disorders and groups of disorders at follow-up was close to one, suggesting a lack of longitudinal impact of IGD on mental disorders. Conflicting results from available longitudinal studies on the role of IGD in the development of mental disorders warrant further research.

The mental health of university students in South Africa: Results of the national student survey

BACKGROUND

We estimate 30-day prevalence of 11 common mental disorders among a representative sample of university students in South Africa and explore disparities in student mental health across historically segregated institutions and marginalised groups.

METHODS

Cross-sectional data collected in self-report surveys of students (n = 28,268) from 17 universities were weighted to adjust for differences in survey responses. Poisson regression was used to estimate risk ratios (RRs).

RESULTS

Prevalence estimates were highest (21.0-24.5 %) for two anxiety disorders (social anxiety disorder, PTSD) and two disruptive behavior disorders (eating disorder, ADHD). Prevalence estimates were higher for any anxiety disorder (37.1 %) and any disruptive behavior disorder (38.7 %) than for any mood disorder (16.3 %) or any substance use disorder (6.6 %). Prevalence estimates varied significantly by historical segregation status of institutions (F₃ = 221.6, p < .001), with prevalence consistently highest in Historically White Institutions (HWIs). Across all institutions, risk of any disorder was lower among oldest than younger students (RR = 0.7, 95%CI = 0.7-0.8), and elevated among gender non-conforming (RR = 1.3, 95%CI = 1.1-1.4), female (RR = 1.2, 95%CI = 1.1-1.2), and sexual minority (RR = 1.2, 95%CI = 1.2-1.3) students. Black students attending HWIs had elevated risk of any disorder relative to White students.

LIMITATIONS

Reliance on self-report measures together with relatively low and variable response rates across institutions limit generalizability of results.

CONCLUSIONS

Modest risks associated with sociodemographic factors suggest a need to focus on mental health of female, gender nonconforming and sexual minority students at all universities along with Black students attending HWIs.

Variations in psychological disorders, suicidality, and help-seeking behaviour among college students from different academic disciplines

BACKGROUND

Elevated levels of suicidality, ADHD, mental ill-health and substance disorders are reported among college students globally, yet few receive treatment. Some faculties and courses appear to have more at-risk students than others. The current study aimed to determine if students commencing college in different academic disciplines were at a heightened risk for psychopathology, substance use disorders and suicidal behaviour, and examined variations in help-seeking behaviour.

MATERIALS AND METHODS

The study utilised data collected from 1,829 first-year undergraduate students as part of the Student Psychological Intervention Trial (SPIT) which commenced in September 2019 across four Ulster University campuses in Northern Ireland and an Institute of Technology, in the North-West of Ireland. The SPIT study is part of the World Mental Health International College Student Initiative (WMH-ICS) which uses the WMH-CIDI to identify 12-month and lifetime disorders.

RESULTS

Students from Life and Health Sciences reported the lowest rates of a range of psychological problems in the year prior to commencing college, while participants studying Arts and Humanities displayed the highest levels (e.g. depression 20.6%; social anxiety 38.8%). However, within faculty variations were found. For example, psychology students reported high rates, while nursing students reported low rates. Variations in help seeking behaviour were also revealed, with male students less likely to seek help.

CONCLUSIONS

Detecting specific cohorts at risk of psychological disorders and suicidality is challenging. This study revealed that some academic disciplines have more vulnerable students than others, with many reluctant to seek help for their problems. It is important for educators to be aware of such issues and for colleges to provide information and support to students at risk. Tailored interventions and prevention strategies may be beneficial to address the needs of students from different disciplines.

One-year incidence, predictors, and accuracy of prediction of suicidal thoughts and behaviors from the first to second year of university

BACKGROUND

Research is scarce on the prospective predictors of first onset suicidal thoughts and behaviors (STB) and the accuracy of these predictors in university students, particularly in low-and-middle income countries. Therefore, we assessed the 1-year incidence of STB among first-year students, a broad range of prospective predictors of STB incidence, and evaluated the prediction accuracy of a baseline multivariate risk prediction model to identify students at highest risk for STB onset over the subsequent 12 months.

METHODS

Students (n = 3238) from 13 universities in Mexico completed an online survey developed for the World Mental Health International College Student Surveys in their first year and again 12 months after. We ran generalized linear models and receiver operator curves.

RESULTS

The 1-year incidence of suicidal ideation, plan and attempt was 8.53%, 3.75%, and 1.16%, respectively. Predictors in final models were female sex (ideation only), minority sexual orientation (ideation only), depression, eating disorders, ADHD (ideation and plan), ongoing arguments or breakup with a romantic partner (ideation only), emotional abuse (ideation only), parental death (ideation, plan), not Catholic/Christian (ideation, plan), not having someone to rely on, psychotic experiences (plan only), and insufficient sleep (attempt only). Prediction accuracy for ideation, plan and attempt was area under the curve = 0.76, 0.81 and 0.78, respectively. Targeting the top 10% of students at highest risk could reduce STB in the subsequent year up to 36%.

CONCLUSIONS

By assessing these risk/protective factors in incoming students we identified students at greatest risk for developing STB to whom suicide prevention strategies could be targeted.

Risk factors for acute mental health symptoms and tobacco initiation in Coast Guard Responders to the Deepwater Horizon oil spill

Acute mental health symptoms experienced during oil spill response work are understudied, especially among nonlocal responders. We assessed potential risk factors for acute mental health symptoms and tobacco initiation among U.S. Coast Guard responders to the 2010 Deepwater Horizon (DWH) oil spill who completed a deployment exit survey. Cross-sectional associations among responder characteristics, deployment-related stressors (deployment duration, timing, crude oil exposure, physical symptoms, injuries), and professional help-seeking for stressors experienced with concurrent depression/anxiety and tobacco initiation were examined. Log-binomial regression was used to calculate adjusted prevalence ratios (aPRs) and 95% confidence intervals. Sensitivity analyses excluded responders with a history of mental health conditions using health encounter data from the Military Health System Data Repository. Of the 4,855 responders, 75.5% were deployed from nonlocal/non-Gulf home stations, 5.8% reported concurrent depression and anxiety, and 2.8% reported the initiation of any tobacco product during oil spill response. Self-report of concurrent depression and anxiety was more prevalent among female responders and positively associated with longer deployments, crude oil exposure via inhalation, physical symptoms and injuries, and professional help-seeking during deployment, aPRs = 1.54-6.55. Tobacco initiation was inversely associated with older age and officer rank and positively associated with deployment-related stressors and depression/anxiety during deployment, aPRs = 1.58-4.44. Associations remained robust after excluding responders with a history of mental health- and tobacco-related health encounters up to 3 years before deployment. Depression, anxiety, and tobacco initiation were cross-sectionally associated with oil spill response work experiences among DWH responders, who largely originated outside of the affected community.

Predictive models for first-onset and persistence of depression and anxiety among university students

BACKGROUND

Depression and anxiety are both prevalent among university students. They frequently co-occur and share risk factors. Yet few studies have focused on identifying students at highest risk of first-onset and persistence of either of these conditions.

METHODS

Multicenter cohort study among Spanish first-year university students. At baseline, students were assessed for lifetime and 12-month Major Depressive Episode and/or Generalized Anxiety Disorder (MDE-GAD), other mental disorders, childhood-adolescent adversities, stressful life events, social support, socio-demographics, and psychological factors using web-based surveys; 12-month MDE-GAD was again assessed at 12-month follow-up.

RESULTS

A total of 1253 students participated in both surveys (59.2% of baseline respondents; mean age = 18.7 (SD = 1.3); 56.0% female). First-onset of MDE-GAD at follow-up was 13.3%. Also 46.7% of those with baseline MDE-GAD showed persistence at follow-up. Childhood/Adolescence emotional abuse or neglect (OR= 4.33), prior bipolar spectrum disorder (OR= 4.34), prior suicidal ideation (OR=4.85) and prior lifetime symptoms of MDE (ORs=2.33-3.63) and GAD (ORs=2.15-3.75) were strongest predictors of first-onset MDE-GAD. Prior suicidal ideation (OR=3.17) and prior lifetime GAD symptoms (ORs=2.38-4.02) were strongest predictors of MDE-GAD persistence. Multivariable predictions from baseline showed AUCs of 0.76 for first-onset and 0.81 for persistence. 74.9% of first-onset MDE-GAD cases occurred among 30% students with highest predicted risk at baseline.

LIMITATIONS

Self-report data were used; external validation of the multivariable prediction models is needed.

CONCLUSION

MDE-GAD among university students is frequent, suggesting the need to implement web-based screening at university entrance that identify those students with highest risk.

A risk algorithm that predicts alcohol use disorders among college students

The first year of college may carry especially high risk for onset of alcohol use disorders. We assessed the one-year incidence of alcohol use disorders (AUD) among incoming first-year students, predictors of AUD-incidence, prediction accuracy and population impact. A prospective cohort study of first-year college students (baseline: N = 5843; response rate = 51.8%; 1-year follow-up: n = 1959; conditional response rate = 41.6%) at a large university in Belgium was conducted. AUD were evaluated with the AUDIT and baseline predictors with the Composite International Diagnostic Interview Screening Scales (CIDI-SC). The one-year incidence of AUD was 3.9% (SE = 0.4). The most important individual-level baseline predictors of AUD incidence were being male (OR = 1.53; 95% CI = 1.12-2.10), a break-up with a romantic partner (OR = 1.67; 95% CI = 1.08-2.59), hazardous drinking (OR = 3.36; 95% CI = 1.31-8.63), and alcohol use characteristics at baseline (ORs between 1.29 and 1.38). Multivariate cross-validated prediction (cross-validated AUC = 0.887) shows that 55.5% of incident AUD cases occurred among the 10% of students at highest predicted risk (20.1% predicted incidence in this highest-risk subgroup). Four out of five students with incident AUD would hypothetically be preventable if baseline hazardous drinking was to be eliminated along with a reduction of one standard deviation in alcohol use characteristics scores, and another 15.0% would potentially be preventable if all 12-month stressful events were eliminated. Screening at college entrance is a promising strategy to identify students at risk of transitioning to more problematic drinking and AUD, thus improving the development and deployment of targeted preventive interventions.

Psychological impact of the COVID-19 pandemic on primary care workers: a cross-sectional study

BACKGROUND

The COVID-19 pandemic has had a major impact on the mental health of healthcare workers, yet studies in primary care workers are scarce.

AIM

To investigate the prevalence of and associated factors for psychological distress in primary care workers during the first COVID-19 outbreak.

DESIGN AND SETTING

This was a multicentre, cross-sectional, web-based survey conducted in primary healthcare workers in Spain, between May and September 2020.

METHOD

Healthcare workers were invited to complete a survey to evaluate sociodemographic and work-related characteristics, COVID-19 infection status, exposure to patients with COVID-19, and resilience (using the Connor-Davidson Resilience Scale), in addition to being screened for common mental disorders (depression, anxiety disorders, post-traumatic stress disorder, panic attacks, and substance use disorder). Positive screening for any of these disorders was analysed globally using the term 'any current mental disorder'.

RESULTS

A total of 2928 primary care professionals participated in the survey. Of them, 43.7% (95% confidence interval [CI] = 41.9 to 45.4) tested positive for a current mental disorder. Female sex (odds ratio [OR] 1.61, 95% CI = 1.25 to 2.06), having previous mental disorders (OR 2.58, 95% CI = 2.15 to 3.10), greater occupational exposure to patients with COVID-19 (OR 2.63, 95% CI = 1.98 to 3.51), having children or dependents (OR 1.35, 95% CI = 1.04 to 1.76 and OR 1.59, 95% CI = 1.20 to 2.11, respectively), or having an administrative job (OR 2.24, 95% CI = 1.66 to 3.03) were associated with a higher risk of any current mental disorder. Personal resilience was shown to be a protective factor.

CONCLUSION

Almost half of primary care workers showed significant psychological distress. Strategies to support the mental health of primary care workers are necessary, including designing psychological support and resilience-building interventions based on risk factors identified.

Study protocol for pragmatic trials of Internet-delivered guided and unguided cognitive behavior therapy for treating depression and anxiety in university students of two Latin American countries: the Yo Puedo Sentirme Bien study

BACKGROUND

Major depressive disorder (MDD) and generalized anxiety disorder (GAD) are highly prevalent among university students and predict impaired college performance and later life role functioning. Yet most students do not receive treatment, especially in low-middle-income countries (LMICs). We aim to evaluate the effects of expanding treatment using scalable and inexpensive Internet-delivered transdiagnostic cognitive behavioral therapy (iCBT) among college students with symptoms of MDD and/or GAD in two LMICs in Latin America (Colombia and Mexico) and to investigate the feasibility of creating a precision treatment rule (PTR) to predict for whom iCBT is most effective.

METHODS

We will first carry out a multi-site randomized pragmatic clinical trial (N = 1500) of students seeking treatment at student mental health clinics in participating universities or responding to an email offering services. Students on wait lists for clinic services will be randomized to unguided iCBT (33%), guided iCBT (33%), and treatment as usual (TAU) (33%). iCBT will be provided immediately whereas TAU will be whenever a clinic appointment is available. Short-term aggregate effects will be assessed at 90 days and longer-term effects 12 months after randomization. We will use ensemble machine learning to predict heterogeneity of treatment effects of unguided versus guided iCBT versus TAU and develop a precision treatment rule (PTR) to optimize individual student outcome. We will then conduct a second and third trial with separate samples (n = 500 per arm), but with unequal allocation across two arms: 25% will be assigned to the treatment determined to yield optimal outcomes based on the PTR developed in the first trial (PTR for optimal short-term outcomes for Trial 2 and 12-month outcomes for Trial 3), whereas the remaining 75% will be assigned with equal allocation across all three treatment arms.

DISCUSSION

By collecting comprehensive baseline characteristics to evaluate heterogeneity of treatment effects, we will provide valuable and innovative information to optimize treatment effects and guide university mental health treatment planning. Such an effort could have enormous public-health implications for the region by increasing the reach of treatment, decreasing unmet need and clinic wait times, and serving as a model of evidence-based intervention planning and implementation.

TRIAL STATUS

IRB Approval of Protocol Version 1.0; June 3, 2020. Recruitment began on March 1, 2021. Recruitment is tentatively scheduled to be completed on May 30, 2024.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04780542 . First submission date: February 28, 2021.

Association of Premilitary Mental Health With Suicide Attempts During US Army Service

IMPORTANCE

Approximately one-third of US soldiers who attempt suicide have not received a mental health diagnosis (MH-Dx) before their suicide attempt (SA), yet little is known about risk factors for SA in those with no MH-Dx.

OBJECTIVE

To examine whether premilitary mental health is associated with medically documented SA among US Army soldiers who do not receive an MH-Dx before their SA.

DESIGN, SETTING, AND PARTICIPANTS

This cohort study used data from a representative survey of soldiers in the US Army entering basic combat training from April 1, 2011, to November 30, 2012, who were followed up via administrative records for the first 48 months of service. Analyses were conducted from April 5, 2021, to January 21, 2022. Regular Army enlisted soldiers (n = 21 772) recruited from 3 US Army installations during the first week of service who agreed to have their administrative records linked to their survey responses were included.

EXPOSURES

Preenlistment lifetime history of mental disorder, suicide ideation, SA, and nonsuicidal self-injury (NSSI) as reported during the baseline survey. Service-acquired MH-Dx and sociodemographic and service-related variables were identified using administrative records.

MAIN OUTCOMES AND MEASURES

Documented SAs were identified using administrative medical records. Using a discrete-time survival framework, linear splines examined the pattern of SA risk over the first 48 months of service. Logistic regression analysis examined associations of lifetime baseline survey variables with subsequent, medically documented SA among soldiers who did vs did not receive an MH-Dx during service. Models were adjusted for time in service and sociodemographic and service-related variables.

RESULTS

Of the 21 722 respondents (86.2% male, 20.4% Black, 61.8% White non-Hispanic), 253 made an SA in the first 48 months of service (male [75.4%]; Black [22.7%], White non-Hispanic [59.9%], or other race or ethnicity [17.4%]). Risk of SA peaked toward the end of the first year of service for both those who did and did not receive an MH-Dx during service. Of the 42.3% of individuals reporting at least 1 of the 4 baseline risk factors, 50.2% received an administrative MH-Dx during service vs 41.5% of those with none, and 1.6% had a documented SA vs 1.0% of those with none. Among individuals with no MH-Dx, medically documented SAs were associated with suicide ideation (odds ratio [OR], 2.2; 95% CI, 1.1-4.4), SA (OR, 11.3; 95% CI, 4.3-29.2), and NSSI (OR, 3.0; 95% CI, 1.3-6.8). For those who received an MH-Dx, medically documented SAs were associated with mental disorder (OR, 1.4; 95% CI, 1.0-1.9), SA (OR, 3.4; 95% CI, 2.1-5.6), and NSSI (OR, 1.8; 95% CI, 1.1-2.8). Interactions indicated the only explanatory variable that differed based on history of MH-Dx was preenlistment SA (χ21 = 4.7; P = .03), which had a larger OR among soldiers with no MH-Dx than among those with an MH-Dx.

CONCLUSIONS AND RELEVANCE

In this study, the period of greatest SA risk and baseline risk factors for SA were similar in soldiers with and without an MH-Dx. This finding suggests that knowledge of the time course and preenlistment mental health factors can equally aid in identifying SA risk in soldiers who do and do not receive an MH-Dx.

ADHD Comorbidity Structure and Impairment: Results of the WHO World Mental Health Surveys International College Student Project (WMH-ICS)

OBJECTIVE

To examine the prevalence of ADHD and the association of comorbid disorders, and multivariate disorder classes with role impairment in college students.

METHOD

About 15,991 freshmen (24 colleges, 9 countries, WMH-ICS) (response rate = 45.6%) completed online WMH-CIDI-SC surveys for 6-month ADHD and six 12-month DSM-IV disorders. We examined multivariate disorder classes using latent class analysis (LCA) and simulated a population attributable risk proportions (PARPs) of ADHD-related impairment.

RESULTS

About 15.9% had ADHD, of which 58.4% had comorbidities. LCA classified ADHD respondents to pure (42.9%), internalizing (36.0%), bipolar comorbidities (11.3%), and externalizing disorder classes (9.8%). ADHD, comorbidities, and multivariate disorder classes independently predicted severe impairment. PARPs: eliminating ADHD hypothetically reduced severe impairment by 19.2%, 10.1% adjusted for comorbidities, 9.5% for multivariate disorder classes.

CONCLUSIONS

ADHD and comorbid disorders are common and impairing in college students. Personalized transdiagnostic interventions guided by multivariate disorder classes should be explored.

Mental impact of Covid-19 among Spanish healthcare workers. A large longitudinal survey

AIMS

Longitudinal data on the mental health impact of the coronavirus disease 2019 (Covid-19) pandemic in healthcare workers is limited. We estimated prevalence, incidence and persistence of probable mental disorders in a cohort of Spanish healthcare workers (Covid-19 waves 1 and 2) -and identified associated risk factors.

METHODS

8996 healthcare workers evaluated on 5 May-7 September 2020 (baseline) were invited to a second web-based survey (October-December 2020). Major depressive disorder (PHQ-8 ≥ 10), generalised anxiety disorder (GAD-7 ≥ 10), panic attacks, post-traumatic stress disorder (PCL-5 ≥ 7), and alcohol use disorder (CAGE-AID ≥ 2) were assessed. Distal (pre-pandemic) and proximal (pandemic) risk factors were included. We estimated the incidence of probable mental disorders (among those without disorders at baseline) and persistence (among those with disorders at baseline). Logistic regression of individual-level [odds ratios (OR)] and population-level (population attributable risk proportions) associations were estimated, adjusting by all distal risk factors, health care centre and time of baseline interview.

RESULTS

4809 healthcare workers participated at four months follow-up (cooperation rate = 65.7%; mean = 120 days s.d. = 22 days from baseline assessment). Follow-up prevalence of any disorder was 41.5%, (v. 45.4% at baseline, p < 0.001); incidence, 19.7% (s.e. = 1.6) and persistence, 67.7% (s.e. = 2.3). Proximal factors showing significant bivariate-adjusted associations with incidence included: work-related factors [prioritising Covid-19 patients (OR = 1.62)], stress factors [personal health-related stress (OR = 1.61)], interpersonal stress (OR = 1.53) and financial factors [significant income loss (OR = 1.37)]. Risk factors associated with persistence were largely similar.

CONCLUSIONS

Our study indicates that the prevalence of probable mental disorders among Spanish healthcare workers during the second wave of the Covid-19 pandemic was similarly high to that after the first wave. This was in good part due to the persistence of mental disorders detected at the baseline, but with a relevant incidence of about 1 in 5 of HCWs without mental disorders during the first wave of the Covid-19 pandemic. Health-related factors, work-related factors and interpersonal stress are important risks of persistence of mental disorders and of incidence of mental disorders. Adequately addressing these factors might have prevented a considerable amount of mental health impact of the pandemic among this vulnerable population. Addressing health-related stress, work-related factors and interpersonal stress might reduce the prevalence of these disorders substantially. Study registration number: NCT04556565.

The Mental Health of Employees with Job Loss and Income Loss during the COVID-19 Pandemic: The Mediating Role of Perceived Financial Stress

The COVID-19 outbreak, which was followed by home confinement, is expected to have had profound negative impact on the mental health of people. Associated factors, such as losing jobs and income, can be expected to lead to an increased risk of suffering from psychopathological problems. Therefore, this study was aimed at researching the associations of job and income loss with mental health, as well as the possible mediating role of perceived financial stress during the COVID-19 outbreak. The sample included 2381 Spanish workers who were interviewed right after the first COVID-19 lockdown. Measures were taken for generalized anxiety disorder, panic attacks, depression, post-traumatic stress disorder, substance abuse, suicidal thoughts and behaviors, working conditions, sociodemographic variables, and perceived financial stress. Logistic regression models were calculated with psychological variables as outcomes, and with job loss and income loss as predictors. Mediation analyses were performed by adding the financial threat as a mediator. Nineteen point six percent and 33.9% of participants reported having lost their jobs and incomes due to the pandemic, respectively. Only income loss was related to a higher risk of suffering from depression and panic attacks. When adding financial stress as a mediator, the indirect effects of job and income loss on the mental health measures were found to be significant, therefore indicating mediation. These findings pinpoint the vulnerability of this population, and highlight the need for interventional and preventive programs targeting mental health in economic crisis scenarios, such as the current one. They also highlight the importance of implementing social and income policies during the COVID-19 pandemic to prevent mental health problems.

Parental suicide attempt and subsequent risk of pre-enlistment suicide attempt among male and female new soldiers in the U.S. Army

OBJECTIVE

Suicide and suicide attempts among U.S. Army soldiers are a significant concern for public health. This study examined the association of parental suicide attempt prior to age 13 of the soldier with subsequent risk of pre-enlistment suicide attempt.

METHOD

We conducted secondary analyses of survey data from new soldiers who participated in the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS) (N = 38,396). A series of logistic regression analyses were conducted.

RESULTS

Of all new soldiers, 1.4% reported that they attempted suicide between age 13 and entering the Army, and 2.3% reported a parental suicide attempt prior to age 13. Parental suicide attempt was associated with increased odds of subsequent suicide attempt; however, this association was moderated by gender and was significant only among male soldiers. The association between parental suicide attempt and pre-enlistment suicide attempt among male soldiers was still significant after controlling for socio-demographic characteristics, soldier/parental psychopathology, and childhood adversities.

CONCLUSIONS

These results highlight parental suicide attempt as a unique pre-enlistment risk factor for suicide attempt, especially among male new soldiers. Further studies are needed to separate the genetic and environmental contributions to intra-familial risk for suicidal behavior.

Attachment Style and Risk of Suicide Attempt Among New Soldiers in the U.S. Army

OBJECTIVE

Among U.S. Army soldiers suicide attempts (SAs) are a significant public health concern, particularly early in service. We examined the association of attachment style with SA and suicide ideation (SI) among U.S. Army soldiers.

METHODS

We analyzed survey data from new soldiers who participated in the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS). The sample consists of 38,507 soldiers entering Basic Combat Training (BCT) between April 2011 and November 2012. Attachment style (secure, preoccupied, fearful, and dismissing) was assessed using items from the Relationship Questionnaire. Lifetime (pre-enlistment) SA and SI were assessed with a modified Columbia Suicide Severity Rating Scale. Logistic regression analyses examined associations of attachment style with lifetime SA, SI, and attempts among ideators, after adjusting for socio-demographic characteristics.

RESULTS

The secure attachment style was associated with lower odds of SA (OR = 0.76, 95% CI = 0.63-0.92), whereas preoccupied (OR = 4.63, 95% CI = 3.83-5.61), fearful (OR = 4.08, 95% CI = 3.38-4.94), or dismissing (OR = 1.56, 95% CI = 1.24-1.96) attachment styles were associated with higher odds of SA. Similar results were found for SI. Importantly, both preoccupied (OR = 1.67, 95% CI = 1.37-2.04) and fearful (OR = 1.70, 95% CI = 1.38-2.08) attachment were associated with attempts among ideators.

CONCLUSION

These findings highlight the clinical importance of attachment style in predicting suicidal behavior and as possible targets for intervention. A critical next step is for prospective research to examine whether attachment style predicts future suicidal behavior.

Depression, anxiety and suicidal behaviour among college students: Comparisons pre-COVID-19 and during the pandemic

Background

Many students struggle with psychological problems during their college years. These problems may be even more apparent during the COVID-19 pandemic with the accompanying restrictions and transition to an online learning environment, but few longitudinal studies have been conducted to date. The aim of this study was to compare symptoms of depression, anxiety and suicidality prior to and during the pandemic, and identify stressors.

Methods

This study was conducted among students attending Ulster University, Northern Ireland (NI) and LYIT, Republic of Ireland (ROI), as part of the World Mental Health International College Student Initiative (WMH-ICS). Data was collected from first year students in September 2019. The completed response rate was 25.22% (NI) and 41.9% (ROI) in relation to the number of first-year students registered. A follow up study was conducted in Autumn 2020, with 884 students fully completing the online survey in both years, equating to just under half of those who completed initially.

Results

High levels of mental health problems were found in year 1, especially in the ROI. Levels of depression increased significantly in year 2, particularly among students in NI, however, levels of anxiety decreased. No significant variations were found for suicidal behaviour. Several stressors were revealed, including increased social isolation, and worrying about loved ones.

Limitations

The findings may not be generalised to other student populations.

Conclusions

This study reveals variation in symptoms of depression and anxiety since the onset of the pandemic. In particular, the large increase in students with depression is of concern.

Polygenic risk for major depression is associated with lifetime suicide attempt in US soldiers independent of personal and parental history of major depression

Suicide is a major public health problem. The contribution of common genetic variants for major depressive disorder (MDD) independent of personal and parental history of MDD has not been established. Polygenic risk score (using PRS-CS) for MDD was calculated for US Army soldiers of European ancestry. Associations between polygenic risk for MDD and lifetime suicide attempt (SA) were tested in models that also included parental or personal history of MDD. Models were adjusted for age, sex, tranche (where applicable), and 10 principal components reflecting ancestry. In the first cohort, 417 (6.3%) of 6,573 soldiers reported a lifetime history of SA. In a multivariable model that included personal [OR = 3.83, 95% CI:3.09-4.75] and parental history of MDD [OR = 1.43, 95% CI:1.13-1.82 for one parent and OR = 1.64, 95% CI:1.20-2.26 for both parents), MDD PRS was significantly associated with SA (OR = 1.22 [95% CI:1.10-1.36]). In the second cohort, 204 (4.2%) of 4,900 soldiers reported a lifetime history of SA. In a multivariable model that included personal [OR = 3.82, 95% CI:2.77-5.26] and parental history of MDD [OR = 1.42, 95% CI:0.996-2.03 for one parent and OR = 2.21, 95% CI:1.33-3.69 for both parents) MDD PRS continued to be associated (at p = .0601) with SA (OR = 1.15 [95% CI:0.994-1.33]). A soldier's PRS for MDD conveys information about likelihood of a lifetime SA beyond that conveyed by two predictors readily obtainable by interview: personal or parental history of MDD. Results remain to be extended to prospective prediction of incident SA. These findings portend a role for PRS in risk stratification for suicide attempts.

Are guided internet-based interventions for the indicated prevention of depression in green professions effective in the long run? Longitudinal analysis of the 6- and 12-month follow-up of a pragmatic randomized controlled trial (PROD-A)

OBJECTIVE

Evidence of long-term stability for positive mental health effects of internet-based interventions (IBIs) for depression prevention is still scarce. We evaluate long-term effectiveness of a depression prevention program in green professions (i.e. agriculture, horticulture, forestry).

METHODS

This pragmatic RCT (n = 360) compares a tailored IBI program to enhanced treatment as usual (TAU+) in green professions with at least subthreshold depression (PHQ ≥ 5). Intervention group (IG) received one of six IBIs shown previously to efficaciously reduce depressive symptoms. We report 6- and 12-month follow-up measures for depression, mental health and intervention-related outcomes. Intention-to-treat and per-protocol regression analyses were conducted for each measurement point and complemented by latent growth modeling.

RESULTS

After 6 months, depression severity (β = -0.30, 95%-CI: -0.52; -0.07), insomnia (β = -0.22, 95%-CI: -0.41; -0.02), pain-associated disability (β = -0.26, 95%-CI: -0.48; -0.04) and quality of life (β = 0.29, 95%-CI: 0.13; 0.45) in IG were superior to TAU+. Onset of possible depression was not reduced. After 12 months, no intervention effects were found. Longitudinal modeling confirmed group effects attenuating over 12 months for most outcomes. After 12 months, 55.56% of IG had completed at least 80% of their IBI.

CONCLUSIONS

Stability of intervention effects along with intervention adherence was restricted. Measures enhancing long-term effectiveness of IBIs for depression health promotion are indicated in green professions.

TRIAL REGISTRATION

German Clinical Trial Registration: DRKS00014000. Registered: 09 April 2018.

Association Between Responsibility for the Death of Others and Postdeployment Mental Health and Functioning in US Soldiers

IMPORTANCE

Rates of suicidal thoughts and behaviors (STBs) in US soldiers have increased sharply since the terrorist attacks on September 11, 2001, and postdeployment posttraumatic stress disorder (PTSD) remains a concern. Studies show that soldiers with greater combat exposure are at an increased risk for adverse mental health outcomes, but little research has been conducted on the specific exposure of responsibility for the death of others.

OBJECTIVE

To examine the association between responsibility for the death of others in combat and mental health outcomes among active-duty US Army personnel at 2 to 3 months and 8 to 9 months postdeployment.

DESIGN, SETTING, AND PARTICIPANTS

This cohort study obtained data from a prospective 4-wave survey study of 3 US Army brigade combat teams that deployed to Afghanistan in 2012. The sample was restricted to soldiers with data at all 4 waves (1-2 months predeployment, and 2-3 weeks, 2-3 months, and 8-9 months postdeployment). Data analysis was performed from December 12, 2020, to April 23, 2021.

MAIN OUTCOMES AND MEASURES

Primary outcomes were past-30-day PTSD, major depressive episode, STBs, and functional impairment at 2 to 3 vs 8 to 9 months postdeployment. Combat exposures were assessed using a combat stress scale. The association of responsibility for the death of others during combat was tested using separate multivariable logistic regression models per outcome adjusted for age, sex, race and ethnicity, marital status, brigade combat team, predeployment lifetime internalizing and externalizing disorders, and combat stress severity.

RESULTS

A total of 4645 US soldiers (mean [SD] age, 26.27 [6.07] years; 4358 men [94.0%]) were included in this study. After returning from Afghanistan, 22.8% of soldiers (n = 1057) reported responsibility for the death of others in combat. This responsibility was not associated with any outcome at 2 to 3 months postdeployment (PTSD odds ratio [OR]: 1.23 [95% CI, 0.93-1.63]; P = .14; STB OR: 1.19 [95% CI, 0.84-1.68]; P = .33; major depressive episode OR: 1.03 [95% CI, 0.73-1.45]; P = .87; and functional impairment OR: 1.12 [95% CI, 0.94-1.34]; P = .19). However, responsibility was associated with increased risk for PTSD (OR, 1.42; 95% CI, 1.09-1.86; P = .01) and STBs (OR, 1.55; 95% CI, 1.03-2.33; P = .04) at 8 to 9 months postdeployment. Responsibility was not associated with major depressive episode (OR, 1.30; 95% CI, 0.93-1.81; P = .13) or functional impairment (OR, 1.13; 95% CI, 0.94-1.36; P = .19). When examining enemy combatant death only, the pattern of results was unchanged for PTSD (OR, 1.44; 95 CI%, 1.10-1.90; P = .009) and attenuated for STBs (OR, 1.46; 95 CI%, 0.97- 2.20; P = .07).

CONCLUSIONS AND RELEVANCE

This cohort study found an association between being responsible for the death of others in combat and PTSD and STB at 8 to 9 months, but not 2 to 3 months, postdeployment in active-duty soldiers. The results suggest that delivering early intervention to those who report such responsibility may mitigate the subsequent occurrence of PTSD and STBs.

Social closeness and support are associated with lower risk of suicide among U.S. Army soldiers

OBJECTIVE

We tested the aspects of social support, unit cohesion, and religiosity hypothesized to be protective factors for suicide among U.S. service members.

METHODS

This case-control study compared U.S. Army soldiers who died by suicide while on active duty (n = 135) to controls of two types: those propensity score-matched on known sociodemographic risk factors (n = 128); and those controls who had thought about, but not died by, suicide in the past year (n = 108). Data included structured interviews of next of kin (NOK) and Army supervisors (SUP) for each case and control soldier. Logistic regression analyses were used to examine predictors of suicide.

RESULTS

Perceived social closeness and seeking help from others were associated with decreased odds of suicide, as reported by SUP (OR = 0.2 [95% CI = 0.1, 0.5]) and NOK (OR = 0.4 [95% CI = 0.2, 0.8]). Novel reports by SUP informants of high levels of unit cohesion/morale decreased odds of suicide (OR = 0.1 [95% CI = 0.0, 0.2]). Contrary to study hypotheses, no religious affiliation was associated with lower odds of suicide (OR = 0.3 [95% CI = 0.2, 0.6]).

CONCLUSIONS

Perceived social closeness and unit/group cohesion are associated with lower odds of suicide. These results point toward social intervention strategies as testable components of suicide prevention programs.

Mental Disorders, Gun Ownership, and Gun Carrying Among Soldiers After Leaving the Army, 2016-2019

Objectives. To examine associations of current mental and substance use disorders with self-reported gun ownership and carrying among recently separated US Army soldiers. Veterans have high rates of both gun ownership and mental disorders, the conjunction of which might contribute to the high suicide rate in this group. Methods. Cross-sectional survey data were collected in 2018-2019 from 5682 recently separated personnel who took part in the Army Study to Assess Risk and Resilience in Servicemembers. Validated measures assessed recent mood, anxiety, substance use, and externalizing disorders. Logistic regression models examined associations of sociodemographic characteristics, service characteristics, and mental disorders with gun ownership and carrying. Results. Of the participants, 50% reported gun ownership. About half of owners reported carrying some or most of the time. Mental disorders were not associated significantly with gun ownership. However, among gun owners, major depressive disorder, panic disorder, posttraumatic stress disorder, and intermittent explosive disorder were associated with significantly elevated odds of carrying at least some of the time. Conclusions. Mental disorders are not associated with gun ownership among recently separated Army personnel, but some mental disorders are associated with carrying among gun owners. (Am J Public Health. 2021;111(10):1855-1864. https://doi.org/10.2105/AJPH.2021.306420).