Analyses of GWAS signal using GRIN identify additional genes contributing to suicidal behavior.

Genome-wide association studies (GWAS) identify genetic variants underlying complex traits but are limited by stringent genome-wide significance thresholds. We present GRIN (Gene set Refinement through Interacting Networks), which increases confidence in the expanded gene set by retaining genes strongly connected by biological networks when GWAS thresholds are relaxed. GRIN was validated on both simulated interrelated gene sets as well as multiple GWAS traits. From multiple GWAS summary statistics of suicide attempt, a complex phenotype, GRIN identified additional genes that replicated across independent cohorts and retained biologically interrelated genes despite a relaxed significance threshold. We present a conceptual model of how these retained genes interact through neurobiological pathways that may influence suicidal behavior, and identify existing drugs associated with these pathways that would not have been identified under traditional GWAS thresholds. We demonstrate GRIN's utility in boosting GWAS results by increasing the number of true positive genes identified from GWAS results.

Black Americans With Sickle Cell Disease (SCD) Demonstrate Accelerated Epigenetic Pace of Aging Compared to Black Americans Without SCD.

BACKGROUND: Sickle cell disease (SCD) is a chronic medical condition characterized by red blood cell sickling, vaso-occlusion, hemolytic anemia, and subsequently, end-organ damage and reduced survival. Because of this significant pathophysiology and early mortality, we hypothesized that patients with SCD are experiencing accelerated biological aging compared with individuals without SCD. METHODS: We utilized the DunedinPACE measure to compare the epigenetic pace of aging in 131 Black Americans with SCD to 1391 Black American veterans without SCD. RESULTS: SCD patients displayed a significantly accelerated pace of aging (DunedinPACE mean difference of 0.057 points) compared with the veterans without SCD, whereby SCD patients were aging ≈0.7 months more per year than those without SCD (p = 4.49 × 10-8). This was true, even though the SCD patients were significantly younger according to chronological age than the individuals without SCD, making the epigenetic aging discrepancy even more apparent. This association became stronger when we removed individuals with posttraumatic stress disorder from the non-SCD group (p = 2.18 × 10-9), and stronger still when we restricted the SCD patients to those with hemoglobin SS and Sß0 thalassemia genotypes (p = 1.61 × 10-10). CONCLUSIONS: These data support our hypothesis that individuals with SCD experience accelerated biological aging as measured by global epigenetic variation. The assessment of epigenetic measures of biological aging may prove useful to identify which SCD patients would most benefit from clinical interventions to reduce mortality.

Defining Suicidal Thought and Behavior Phenotypes for Genetic Studies.

Background: Standardized definitions of suicidality phenotypes, including suicidal ideation (SI), attempt (SA), and death (SD) are a critical step towards improving understanding and comparison of results in suicide research. The complexity of suicidality contributes to heterogeneity in phenotype definitions, impeding evaluation of clinical and genetic risk factors across studies and efforts to combine samples within consortia. Here, we present expert and data-supported recommendations for defining suicidality and control phenotypes to facilitate merging current/legacy samples with definition variability and aid future sample creation. Methods: A subgroup of clinician researchers and experts from the Suicide Workgroup of the Psychiatric Genomics Consortium (PGC) reviewed existing PGC definitions for SI, SA, SD, and control groups and generated preliminary consensus guidelines for instrument-derived and international classification of disease (ICD) data. ICD lists were validated in two independent datasets (N = 9,151 and 12,394). Results: Recommendations are provided for evaluated instruments for SA and SI, emphasizing selection of lifetime measures phenotype-specific wording. Recommendations are also provided for defining SI and SD from ICD data. As the SA ICD definition is complex, SA code list recommendations were validated against instrument results with sensitivity (range = 15.4% to 80.6%), specificity (range = 67.6% to 97.4%), and positive predictive values (range = 0.59-0.93) reported. Conclusions: Best-practice guidelines are presented for the use of existing information to define SI/SA/SD in consortia research. These proposed definitions are expected to facilitate more homogeneous data aggregation for genetic and multisite studies. Future research should involve refinement, improved generalizability, and validation in diverse populations.

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 either Illumina HumanMethylation450 or MethylationEPIC (850K) BeadChips. A common QC pipeline was applied. 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. Methylation at most CpGs correlated with their annotated gene expression levels. Conclusions: This study identifies 11 PTSD-associated CpGs, also 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.

Evaluation of the critical warzone experiences scale among Gulf War I-era veterans: Associations with PTSD symptoms, depressive symptoms, and suicidal thoughts and behaviors.

Prior research has established the psychometric properties of the Critical Warzone Experiences (CWE) scale among post-9/11 Iraq/Afghanistan-era veterans; however, the psychometric properties of the CWE among Gulf War I-era veterans have not yet been established. The first objective of the present study was to examine the psychometric properties of the CWE among Gulf War I-era veterans. The second objective was to test the hypothesis that the CWE would have a significant indirect effect on suicidal thoughts and behaviors via posttraumatic stress disorder (PTSD) and depressive symptoms. To test these hypotheses, a survey packet that included the CWE and measures of PTSD symptoms, depressive symptoms, and suicidal thoughts and behaviors was administered to 1,153 Gulf War I-era veterans. Consistent with prior research in post-9/11 Iraq/Afghanistan-era veterans, the CWE exhibited good internal consistency (α = .85), a unidimensional factor structure (RMSEA = .056, CFI = .959, SRMR = .033; average factor loading = .69), and good concurrent validity with PTSD (r = .47, p < .001) and depressive (r = .31, p < .001) symptoms among Gulf War I-era veterans. Additionally, as hypothesized, a significant indirect effect from the CWE to suicidal thoughts and behaviors via PTSD and depressive symptoms (ß = .35, p < .001) was also observed. Taken together, our findings provide strong support for using the CWE with Gulf War I-era veterans.

Deployment-related toxic exposures are associated with worsening mental and physical health after military service: Results from a self-report screening of veterans deployed after 9/11.

Exposure to toxins-such as heavy metals and air pollution-can result in poor health and wellbeing. Recent scientific and media attention has highlighted negative health outcomes associated with toxic exposures for U.S. military personnel deployed overseas. Despite established health risks, less empirical work has examined whether deployment-related toxic exposures are associated with declines in mental and physical health after leaving military service, particularly among the most recent cohort of veterans deployed after September 11, 2001. Using data from 659 U.S. veterans in the VISN 6 MIRECC Post-Deployment Mental Health Study, we tested whether self-reported toxic exposures were associated with poorer mental and physical health. At baseline, veterans who reported more toxic exposures also reported more mental health, ß = 0.14, 95% CI [0.04, 0.23], p = 0.004, and physical health symptoms, ß = 0.21, 95% CI [0.11, 0.30], p < 0.001. Over the next ten years, veterans reporting more toxic exposures also had greater increases in mental health symptoms, ß = 0.23, 95% CI [0.15, 0.31], p < 0.001, physical health symptoms, ß = 0.22, 95% CI [0.14, 0.30], p < 0.001, and chronic disease diagnoses, ß = 0.15, 95% CI [0.07, 0.23], p < 0.001. These associations accounted for demographic and military covariates, including combat exposure. Our findings suggest that toxic exposures are associated with worsening mental and physical health after military service, and this recent cohort of veterans will have increased need for mental health and medical care as they age into midlife and older age.

Demographic characteristics and epigenetic biological aging among post-9/11 veterans: Associations of DunedinPACE with sex, race, and age.

Measures of epigenetic aging derived from DNA methylation (DNAm) have enabled the assessment of biological aging in new populations and cohorts. In the present study, we used an epigenetic measure of aging, DunedinPACE, to examine rates of aging across demographic groups in a sample of 2,309 United States military veterans from the VISN 6 MIRECC's Post-Deployment Mental Health Study. As assessed by DunedinPACE, female veterans were aging faster than male veterans (ß = 0.39, 95 % CI [0.29, 0.48], p < .001), non-Hispanic Black veterans were aging faster than non-Hispanic White veterans (ß = 0.58, 95 % CI [0.50, 0.66], p < .001), and older veterans were biologically aging faster than younger veterans (ß = 0.21, 95 % CI [0.18, 0.25], p < .001). In secondary analyses, these differences in rates of aging were not explained by a variety of biopsychosocial covariates. In addition, the percentage of European genetic admixture in non-Hispanic Black veterans was not associated with DunedinPACE. Our findings suggest that female and non-Hispanic Black veterans are at greater risk of accelerated aging among post-9/11 veterans. Interventions that slow aging might provide relatively greater benefit among veterans comprising these at-risk groups.

Correlates of suicidal behaviors and genetic risk among United States veterans with schizophrenia or bipolar I disorder.

Persons diagnosed with schizophrenia (SCZ) or bipolar I disorder (BPI) are at high risk for self-injurious behavior, suicidal ideation, and suicidal behaviors (SB). Characterizing associations between diagnosed health problems, prior pharmacological treatments, and polygenic scores (PGS) has potential to inform risk stratification. We examined self-reported SB and ideation using the Columbia Suicide Severity Rating Scale (C-SSRS) among 3,942 SCZ and 5,414 BPI patients receiving care within the Veterans Health Administration (VHA). These cross-sectional data were integrated with electronic health records (EHRs), and compared across lifetime diagnoses, treatment histories, follow-up screenings, and mortality data. PGS were constructed using available genomic data for related traits. Genome-wide association studies were performed to identify and prioritize specific loci. Only 20% of the veterans who reported SB had a corroborating ICD-9/10 EHR code. Among those without prior SB, more than 20% reported new-onset SB at follow-up. SB were associated with a range of additional clinical diagnoses, and with treatment with specific classes of psychotropic medications (e.g., antidepressants, antipsychotics, etc.). PGS for externalizing behaviors, smoking initiation, suicide attempt, and major depressive disorder were associated with SB. The GWAS for SB yielded no significant loci. Among individuals with a diagnosed mental illness, self-reported SB were strongly associated with clinical variables across several EHR domains. Analyses point to sequelae of substance-related and psychiatric comorbidities as strong correlates of prior and subsequent SB. Nonetheless, past SB was frequently not documented in health records, underscoring the value of regular screening with direct, in-person assessments, especially among high-risk individuals.

Genome-wide DNA methylation analysis of cannabis use disorder in a veteran cohort enriched for posttraumatic stress disorder.

Cannabis use has been increasing over the past decade, not only in the general US population, but particularly among military veterans. With this rise in use has come a concomitant increase in cannabis use disorder (CUD) among veterans. Here, we performed an epigenome-wide association study for lifetime CUD in an Iraq/Afghanistan era veteran cohort enriched for posttraumatic stress disorder (PTSD) comprising 2,310 total subjects (1,109 non-Hispanic black and 1,201 non-Hispanic white). We also investigated CUD interactions with current PTSD status and examined potential indirect effects of DNA methylation (DNAm) on the relationship between CUD and psychiatric diagnoses. Four CpGs were associated with lifetime CUD, even after controlling for the effects of current smoking (AHRR cg05575921, LINC00299 cg23079012, VWA7 cg22112841, and FAM70A cg08760398). Importantly, cg05575921, a CpG strongly linked to smoking, remained associated with lifetime CUD even when restricting the analysis to veterans who reported never smoking cigarettes. Moreover, CUD interacted with current PTSD to affect cg05575921 and cg23079012 such that those with both CUD and PTSD displayed significantly lower DNAm compared to the other groups. Finally, we provide preliminary evidence that AHRR cg05575921 helps explain the association between CUD and any psychiatric diagnoses, specifically mood disorders.

Mental health treatment utilization among Gulf War era veterans with probable alcohol use disorder.

INTRODUCTION: Alcohol use disorder (AUD) is prevalent among veterans, and excessive alcohol use is associated with significant mental and physical health consequences. Currently, the largest cohort of veterans seeking services at the VA are those from the 1990s Gulf War Era. This cohort of veterans is unique due to the nature of their deployment resulting in a myriad of unexplained symptoms collectively known as "Gulf War Illness" and higher rates of mental health problems. The present study sought to examine the association between probable AUD and mental health treatment utilization in a sample of 1126 (882 male) Gulf War-era veterans. METHODS: Veterans completed a self-report survey including the AUDIT-C, questions about mental health treatment engagement, and demographic questions. RESULTS: Results demonstrated that approximately 20 % of the sample screened positive for probable AUD, determined by standard AUDIT-C cutoff scores. Among those screening positive for AUD, 25 % reported engaging in mental health treatment in the past year. Veterans with probable AUD who use VA care had 3.8 times the odds of receiving mental health services than veterans not using VA care. Use of mental health services was associated with mental health comorbidity and identifying as Black/African American. CONCLUSIONS: The results of the present study highlight a significant unmet need for mental health treatment among Gulf War-era veterans with AUD.

Posttraumatic stress disorder, trauma, and accelerated biological aging among post-9/11 veterans.

People who experience trauma and develop posttraumatic stress disorder (PTSD) are at increased risk for poor health. One mechanism that could explain this risk is accelerated biological aging, which is associated with the accumulation of chronic diseases, disability, and premature mortality. Using data from 2309 post-9/11 United States military veterans who participated in the VISN 6 MIRECC's Post-Deployment Mental Health Study, we tested whether PTSD and trauma exposure were associated with accelerated rate of biological aging, assessed using a validated DNA methylation (DNAm) measure of epigenetic aging-DunedinPACE. Veterans with current PTSD were aging faster than those who did not have current PTSD, ß = 0.18, 95% CI [0.11, 0.27], p < .001. This effect represented an additional 0.4 months of biological aging each year. Veterans were also aging faster if they reported more PTSD symptoms, ß = 0.13, 95% CI [0.09, 0.16], p < 0.001, or higher levels of trauma exposure, ß = 0.09, 95% CI [0.05, 0.13], p < 0.001. Notably, veterans with past PTSD were aging more slowly than those with current PTSD, ß = -0.21, 95% CI [-0.35, -0.07], p = .003. All reported results accounted for age, gender, self-reported race/ethnicity, and education, and remained when controlling for smoking. Our findings suggest that an accelerated rate of biological aging could help explain how PTSD contributes to poor health and highlights the potential benefits of providing efficacious treatment to populations at increased risk of trauma and PTSD.

Development of Mobile Contingency Management for Cannabis Use Reduction.

Many interventions for cannabis use disorder (CUD) are associated with decreases in frequency and quantity of use but fail to increase overall rates of sustained abstinence. It is currently unknown whether reductions in use (in the absence of sustained abstinence) result in clinically significant improvements in functioning. The objective of this study was to refine a mobile contingency management approach to reduce cannabis use to ultimately evaluate whether reductions in frequency and quantity of cannabis are related to improvements in functional and mental health status. Three cohorts of participants (n = 18 total, n = 10 women) were enrolled and completed 2 weeks of ecological momentary assessment (EMA) during a baseline ad lib cannabis use period, followed by a 6-week reduction period. Participants completed EMA assessments multiple times per day and were prompted to provide videotaped saliva cannabis testing 2-3 times daily. Data from participants who were at least 80% adherent to all EMA prompts were analyzed (13 out of 18). During the ad lib phase, participants were using cannabis on 94% of the days and reported using a mean of 1.42 grams daily. The intervention was a mobile application that participants used to record cannabis use by saliva tests to bioverify abstinence and participants completed electronic diaries to report their grams used. During the 6-week intervention phase, participants reported reducing their use days to 47% of the days with a reported mean of .61 grams daily. In the last cohort, at least 50% of the heavy users were able to reduce their cannabis use by at least 50%. The effect of cannabis reduction (versus abstinence) is largely unknown. Observations suggest that it is possible to develop a mobile intervention to reduce cannabis use among heavy users, and this paradigm can be utilized in future work to evaluate whether reductions in cannabis use among heavy users will result in improvements in functional and mental health status.

High dimensional predictions of suicide risk in 4.2 million US Veterans using ensemble transfer learning.

We present an ensemble transfer learning method to predict suicide from Veterans Affairs (VA) electronic medical records (EMR). A diverse set of base models was trained to predict a binary outcome constructed from reported suicide, suicide attempt, and overdose diagnoses with varying choices of study design and prediction methodology. Each model used twenty cross-sectional and 190 longitudinal variables observed in eight time intervals covering 7.5 years prior to the time of prediction. Ensembles of seven base models were created and fine-tuned with ten variables expected to change with study design and outcome definition in order to predict suicide and combined outcome in a prospective cohort. The ensemble models achieved c-statistics of 0.73 on 2-year suicide risk and 0.83 on the combined outcome when predicting on a prospective cohort of [Formula: see text] 4.2 M veterans. The ensembles rely on nonlinear base models trained using a matched retrospective nested case-control (Rcc) study cohort and show good calibration across a diversity of subgroups, including risk strata, age, sex, race, and level of healthcare utilization. In addition, a linear Rcc base model provided a rich set of biological predictors, including indicators of suicide, substance use disorder, mental health diagnoses and treatments, hypoxia and vascular damage, and demographics.

Development and Implementation of Web-Based Safety Planning Intervention Training for Firefighter Peer Support Specialists.

Background: Recent findings indicate that firefighters may be at increased risk for death by suicide; however, there has been only limited suicide prevention work in fire service to date. Aim: The objective of this program evaluation project was to develop and evaluate a web-based Safety Planning Intervention (SPI) training course for firefighter peer support specialists. Method: Peer support specialists who completed the web-based SPI training were administered evaluation questionnaires before the training and then again at a 3-month follow-up assessment. Results: A total of 213 peer support specialists completed the SPI training. Most participants took 2-3 h to complete the training. Participants generally reported high levels of satisfaction with the course, with the vast majority (94.4%) indicating they would recommend it to their peers. Course completers also demonstrated significant gains in SPI knowledge and self-efficacy from baseline to 3-month follow-up (all p's < .001). Moreover, the percentage of participants who reported completing a safety plan with someone they suspected at being of risk for suicide increased approximately 7-fold from baseline (3.5%) to 3-month follow-up (25.2%; p < .001). Participants further reported that 97.6% of the safety plans that they completed resulted in a positive outcome. Limitations: This was a program evaluation project that did not include a control group. Thus, causality cannot be inferred. Conclusions: The present findings suggest that web-based SPI training is a feasible and scalable approach for training peer support specialists to deliver the SPI to at-risk individuals.

Correlates of Risk for Disinhibited Behaviors in the Million Veteran Program Cohort.

Importance: Many psychiatric outcomes share a common etiologic pathway reflecting behavioral disinhibition, generally referred to as externalizing (EXT) disorders. Recent genome-wide association studies (GWASs) have demonstrated the overlap between EXT disorders and important aspects of veterans' health, such as suicide-related behaviors and substance use disorders (SUDs). Objective: To explore correlates of risk for EXT disorders within the Veterans Health Administration (VA) Million Veteran Program (MVP). Design, Setting, and Participants: A series of phenome-wide association studies (PheWASs) of polygenic risk scores (PGSs) for EXT disorders was conducted using electronic health records. First, ancestry-specific PheWASs of EXT PGSs were conducted in the African, European, and Hispanic or Latin American ancestries. Next, a conditional PheWAS, covarying for PGSs of comorbid psychiatric problems (depression, schizophrenia, and suicide attempt; European ancestries only), was performed. Lastly, to adjust for unmeasured confounders, a within-family analysis of significant associations from the main PheWAS was performed in full siblings (European ancestries only). This study included the electronic health record data from US veterans from VA health care centers enrolled in MVP. Analyses took place from February 2022 to August 2023 covering a period from October 1999 to January 2020. Exposures: PGSs for EXT, depression, schizophrenia, and suicide attempt. Main Outcomes and Measures: Phecodes for diagnoses derived from the International Statistical Classification of Diseases, Ninth and Tenth Revisions, Clinical Modification, codes from electronic health records. Results: Within the MVP (560 824 patients; mean [SD] age, 67.9 [14.3] years; 512 593 male [91.4%]), the EXT PGS was associated with 619 outcomes, of which 188 were independent of risk for comorbid problems or PGSs (from odds ratio [OR], 1.02; 95% CI, 1.01-1.03 for overweight/obesity to OR, 1.44; 95% CI, 1.42-1.47 for viral hepatitis C). Of the significant outcomes, 73 (11.9%) were significant in the African results and 26 (4.5%) were significant in the Hispanic or Latin American results. Within-family analyses uncovered robust associations between EXT PGS and consequences of SUDs, including liver disease, chronic airway obstruction, and viral hepatitis C. Conclusions and Relevance: Results of this cohort study suggest a shared polygenic basis of EXT disorders, independent of risk for other psychiatric problems. In addition, this study found associations between EXT PGS and diagnoses related to SUDs and their sequelae. Overall, this study highlighted the potential negative consequences of EXT disorders for health and functioning in the US veteran population.

Nonsuicidal self-injury among veterans is associated with psychosocial impairment, suicidal thoughts and behaviors, and underutilization of mental health services.

Nonsuicidal self-injury (NSSI) is a robust predictor of suicide attempts. However, understanding of NSSI and associated treatment utilization among Veterans is limited. Although impairment may be assumed, few studies examine the association between NSSI and psychosocial functioning, a core component of the rehabilitation framework of mental health. In a national survey of Veterans, current NSSI (n = 88) was associated with higher rates of suicidal thoughts and behaviors and more severe psychosocial impairment after adjusting for demographics and probable diagnoses of posttraumatic stress disorder, major depressive disorder, and alcohol use disorder, compared to Veterans without NSSI (n = 979). Only half of Veterans with NSSI were engaged with mental health services, with few appointments attended, suggesting that these Veterans are not receiving treatment interventions. Results underscore the adverse outcomes associated with NSSI. Underutilization of mental health services highlights the importance of screening for NSSI among Veterans to improve psychosocial outcomes.

Sleep Apnea Among Gulf War Veterans: An Examination of VA Utilization Rates, Treatment Initiation, and Health Outcomes.

OBJECTIVES: Obstructive sleep apnea (OSA) among veterans is frequently underdiagnosed and undertreated. The present study sought to: 1) characterize the prevalence and rate of treatment of OSA among VA users and non-users and 2) examine the associations between diagnosed or probable OSA and key physical and mental health outcomes. METHODS: Gulf-War I-era Veterans were recruited as part of a national survey assessing mental and physical health concerns, healthcare needs, and healthcare utilization. OSA diagnoses were self-reported while sleep apnea risk was assessed via the STOP-Bang. Veterans also completed questionnaires assessing overall health, pain, depression, PTSD, and psychosocial functioning. RESULTS: 1,153 veterans were included in the present analyses (Mean age = 58.81; 21.84% female). Compared to non-VA healthcare users, veterans receiving care at the VA were more likely to have been diagnosed with OSA (p < .001) and report receiving treatment for OSA (p = .005). Compared to veterans at low risk for OSA, veterans at elevated risk reported higher levels of pain (p = .001), depression (p = .02), and poorer psychosocial functioning (p < .001). CONCLUSIONS: OSA diagnoses appear to be more common among VA healthcare users. Findings suggest that OSA remains underdiagnosed and associated with important physical and mental health consequences. Additional screening for OSA, especially among non-VA clinics, is warranted.

Nonsuicidal self-injury methods among U.S. Veterans: Latent class analysis and associations with psychosocial outcomes.

Nonsuicidal self-injury (NSSI) is a debilitating concern among U.S. veterans, with wall/object-punching commonly endorsed as an NSSI method. We examined how this behavior relates to other NSSI methods and psychosocial outcomes. We conducted a latent class analysis (LCA) of NSSI methods among 1,138 Gulf War Era veterans, (77.9% male), 21.7% of whom endorsed lifetime NSSI. We categorized classes based on their associations with age, sex, combat and military sexual assault exposure, then examined the association of class membership with psychosocial indicators. LCA results supported four classes: 1) High punching/banging NSSI (2.5%); 2) Multimethod NSSI methods (6.3%); 3) High-risk, multimethod NSSI (3.1%); and 4) Low-risk NSSI (88.1%). Psychosocial indicators (suicide attempt, ideation, possible depressive or posttraumatic stress disorders, poor psychosocial functioning) were worse for members of the NSSI classes versus those in the low-risk group. A subset of U.S. veterans may engage in NSSI primarily via punching/banging methods. All patterns of NSSI engagement were associated with negative psychosocial outcomes relative to those in the low-risk class of the behavior.

Deep sequential neural network models improve stratification of suicide attempt risk among US veterans.

OBJECTIVE: To apply deep neural networks (DNNs) to longitudinal EHR data in order to predict suicide attempt risk among veterans. Local explainability techniques were used to provide explanations for each prediction with the goal of ultimately improving outreach and intervention efforts. MATERIALS AND METHODS: The DNNs fused demographic information with diagnostic, prescription, and procedure codes. Models were trained and tested on EHR data of approximately 500 000 US veterans: all veterans with recorded suicide attempts from April 1, 2005, through January 1, 2016, each paired with 5 veterans of the same age who did not attempt suicide. Shapley Additive Explanation (SHAP) values were calculated to provide explanations of DNN predictions. RESULTS: The DNNs outperformed logistic and linear regression models in predicting suicide attempts. After adjusting for the sampling technique, the convolutional neural network (CNN) model achieved a positive predictive value (PPV) of 0.54 for suicide attempts within 12 months by veterans in the top 0.1% risk tier. Explainability methods identified meaningful subgroups of high-risk veterans as well as key determinants of suicide attempt risk at both the group and individual level. DISCUSSION AND CONCLUSION: The deep learning methods employed in the present study have the potential to significantly enhance existing suicide risk models for veterans. These methods can also provide important clues to explore the relative value of long-term and short-term intervention strategies. Furthermore, the explainability methods utilized here could also be used to communicate to clinicians the key features which increase specific veterans' risk for attempting suicide.

Examining the daily relationship between guilt, shame, and substance use among veterans with psychiatric disorders.

Background: Shame and guilt are key emotions known to amplify trauma-related symptoms in veterans. Maintenance of symptoms is facilitated by avoidance behaviors, such as substance use. However, limited research has examined the associations between shame, guilt, and substance use in daily life. Methods: The current study sought to examine the cross-lagged association between shame, guilt, and substance use. Forty veterans completed 28 days of experience sampling reporting on their current emotional experiences and use of substances. Results: Results suggest a reciprocal relationship among shame and guilt and substance use, such that shame and guilt separately predicted subsequent substance use, and substance use predicted subsequent shame and guilt. Conclusions: These results highlight the dynamic relationship among shame, guilt, and substance use and suggest the potential value of conceptualizing these clinical targets as mutually reinforcing to inform integrative intervention strategies that can interrupt the in-the-moment cascade of negative consequences.