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Suicide is a major public health problem affecting US Veterans and the US in general. Many variables (e.g., demographic, clinical, biological, geographic) have been associated with risk for suicide and suicidal behavior, including altitude; however, the exact nature of the relationship between altitude and suicide remains unclear in part due to the fact that previous studies have used either geospatial data or individual-level data, but not both. Prior research has also failed to consider the full range of suicidal thoughts and behaviors, ranging from suicidal ideation to suicide deaths. Accordingly, the objective of the present research was to use both geospatial data (county and zip codes) and individual-level data to comprehensively assess the association between altitude and suicide mortality, suicide attempts, and suicidal ideation among US Veterans between 2000 and 2018. Taken together, our results demonstrate that there is a strong correlation between altitude and suicide rates at all the levels investigated and using different statistical analyses and even after controlling for significant covariates such as percent of age50yr, percent male, percent white, percent non-Hispanic, median household income, and population density. We show that there is a positive correlation between altitude and suicide attempts especially when controlling by the covariates and a weak correlation between altitude and suicide ideation and the combination of suicide, suicide attempts and suicide ideation.

The onset and persistence of life events (LE) such as housing instability, job instability, and reduced social connection have been shown to increase risk of suicide. Predictive models for suicide risk have low sensitivity to many of these factors due to under-reporting in structured electronic health records (EHR) data. In this study, we show how natural language processing (NLP) can help identify LE in clinical notes at higher rates than reported medical codes. We compare domain-specific lexicons formulated from Unified Medical Language System (UMLS) selection, content analysis by subject matter experts (SME) and the Gravity Project, to data-driven expansion through contextual word embedding using Word2Vec. Our analysis covers EHR from the Veterans Affairs (VA) Corporate Data Warehouse (CDW) and measures the prevalence of LE across time for patients with known underlying cause of death in the National Death Index (NDI). We found that NLP methods had higher sensitivity of detecting LE relative to structured EHR (S-EHR) variables. We observed that, on average, suicide cases had higher rates of LE over time when compared to patients who died of non-suicide related causes with no previous history of diagnosed mental illness. When used to discriminate these outcomes, the inclusion of NLP derived variables increased the concentration of LE along the top 0.1%, 0.5% and 1% of predicted risk. LE were less informative when discriminating suicide death from non-suicide related death for patients with diagnosed mental illness.

Nonsuicidal self-injury (NSSI) has been identified as one of the strongest predictors of suicide attempts. Wall/object punching is a particularly prevalent form of NSSI among male veterans that has been linked to both impulsivity and anger. The objective of the present study was to examine the indirect effect of impulsivity on wall/object punching via anger. Participants included 124 veterans (32 identified as women, 92 identified as men) with at least one psychiatric disorder. A third of the sample met criteria for NSSI disorder (33.1%) with nearly a half of the remaining sample endorsing NSSI. Almost half (41.94%) of the sample endorsed wall/object punching. Consistent with our hypothesis, impulsivity was significantly associated with anger, which was, in turn, significantly associated with wall/object punching. Impulsivity was found to be indirectly related to wall/object punching via anger. These findings underscore the significance of assessing and treating anger among veterans engaging in wall/object punching. Improving our knowledge of anger and impulsivity and their relationship with this particularly prevalent form of NSSI among veterans may lead to a better understanding of suicide risk among veterans and inform future treatments.

An association has been found between cannabis use disorder (CUD) and violence in several clinical populations, including veterans with posttraumatic stress disorder (PTSD), and there is evidence that CUD has been increasing among veterans since September 11, 2001. There is also evidence that some veterans may be attempting to self-medicate psychological problems including PTSD and aggression with cannabis, despite the lack of safety and efficacy data supporting this use. To date, however, the association between CUD and aggression has yet to be examined in a large, non-clinic sample of veterans. The present study examined the association between cannabis use disorder, anger, aggressive urges, and difficulty controlling violence in a large sample of Iraq/Afghanistan-era veterans (N = 3,028). Results of multivariate logistic regressions indicated that current CUD was significantly positively associated with difficulty managing anger (OR = 2.93, p < 0.05), aggressive impulses/urges (OR = 2.74, p < 0.05), and problems controlling violence in past 30 days (OR = 2.71, p < 0.05) even accounting for demographic variables, comorbid symptoms of depression and PTSD, and co-morbid alcohol and substance use disorders. Lifetime CUD was also uniquely associated with problems controlling violence in the past 30 days (OR = 1.64, p < 0.05), but was not significantly associated with difficulty managing anger or aggressive impulses/urges. Findings indicated that the association between CUD and aggression needs to be considered in treatment planning for both CUD and problems managing anger and aggressive urges, and point to a critical need to disentangle the mechanism of the association between CUD and violence in veterans.

Suicidal ideation (SI) is a prevalent issue in the veteran population. A number of factors have been identified as risk factors for suicidal ideation (SI) in veterans, including suicide attempts, depression, posttraumatic stress disorder (PTSD), and drug use. However, clinicians’ ability to predict suicide is poor, particularly given the interplay between various factors such as previous suicide attempts. As such, there is a gap in our knowledge of which factors most saliently predict suicide risk and which should be targets for interventions designed to lower SI. Network analysis, a method allowing for an examination of how variables relate within the context of a network of factors, may bridge this gap by simultaneously evaluating the interrelationships between risk factors for suicide in veterans. current study used network analysis and data from 2,268 Iraq/Afghanistan-era military veterans to examine the relationships between suicidal ideation and several factors related to suicide risk, such as past suicide attempts, PTSD symptoms, depression, drug use, trauma exposure. Partial correlation network results showed suicidal ideation to be strongly related to depression, with smaller connections to past suicide attempts and anger. Additionally, past suicide attempts was strongly related to history of childhood trauma and weakly related to problematic drug use and PTSD symptoms. These results offer valuable information for both predicting suicide risk and differentiating targets for interventions lowering suicide risk in veterans.

Veterans have high rates of suicide, and nonsuicidal self-injury (NSSI) is one of the strongest predictors of suicide risk; however, there is presently little known about antecedents of NSSI that might inform intervention efforts. Accumulating research suggests that anger and hostility play an important role in NSSI, but whether these emotions precede and predict NSSI is currently unknown. The aim of the current study was to examine the temporal relationships between anger/hostility and NSSI urges and behavior among veterans diagnosed with NSSI disorder. Our hypothesis was that angry/hostile affect would predict subsequent NSSI urge and engagement, but not vice versa. Forty veterans with NSSI disorder completed a 28-day ecological momentary assessment study with three daily prompts to report on their affect and NSSI urges and engagement. Multilevel cross-lagged path modeling was used to determine the direction of effects between angry/hostile affect and NSSI urges and engagement over time. Consistent with our hypothesis, results indicated that the lagged effects of angry/hostile affect on subsequent NSSI urge and engagement were significant, whereas the lagged effects of NSSI urge and engagement on angry/hostile affect were not significant. Findings highlight the importance of assessing and treating anger among veterans who engage in NSSI.

Traumatic experiences and genetic heritability are among the most widely acknowledged risk factors leading to the development of psychopathology; including posttraumatic stress disorder (PTSD) and major depressive disorder (MDD). The purpose of this study was to investigate if polygenic risk scores (PRS) among Veterans interacted with traumatic stress to predict PTSD and MDD. 1,389 Iraq-Afghanistan military service Veterans from the Mental Illness Research Education and Clinical Center dataset were analyzed. Genome-wide association study (GWAS) statistics were utilized to generate PRS for PTSD (PRS

A substantial minority of deployed Gulf War veterans developed posttraumatic stress disorder (PTSD), depression, and several chronic illnesses. Although military combat and exposure to certain nuclear, biological, and chemical agents (NBCs) increase risk for post-deployment health problems, they do not fully explain many Gulf War veteran health diagnoses and are not viable treatment targets. Experiential avoidance (EA; one's unwillingness to remain in contact with unpleasant internal experiences) is a modifiable psychosocial risk factor associated with PTSD and depression in veterans as well as pain and gastrointestinal diseases in the general population. In this study, we recruited a national sample of deployed Gulf War veterans (N = 454) to test the hypothesis that greater EA would be significantly associated with higher lifetime odds of PTSD, depression, “Gulf War Illness” (GWI/CMI), and other chronic illnesses common in this veteran cohort. Participants completed a self-report battery assessing demographic, military-related, and health-related information. Multivariate analyses showed that after adjusting for age, sex, race, combat exposure, and NBC exposure, worse EA was associated with higher lifetime odds of PTSD, depression GWI/CMI, gastrointestinal problems, irritable bowel syndrome, arthritis, fibromyalgia, and chronic fatigue syndrome (ORs ranged 1.25 to 2.89; effect sizes ranged small to large), but not asthma or chronic obstructive pulmonary disease. Our findings suggest medical and mental health providers alike should assess for EA and potentially target EA as part of a comprehensive, biopsychosocial approach to improving Gulf War veterans' health and wellbeing. Study limitations and future research directions are also discussed.

Up to 14% of veterans engage in nonsuicidal self-injury (NSSI) in their lifetime and this behavior is a relatively strong predictor of suicidal behavior compared to other identified risk factors. Further, NSSI is a clinically relevant behavior in its own right; it is associated with more severe psychopathology as well as bodily harm that sometimes requires medical intervention. Therefore, a better understanding of NSSI may help inform suicide prevention efforts as well as mental healthcare strategies for veterans. Anger may be relevant to understanding NSSI in veterans. Over 60% of veterans report difficulties managing anger and this emotion is strongly associated with engagement in NSSI. However, no research has explored the extent to which anger is present prior to NSSI or whether anger is associated with specific NSSI methods or functions in veterans. The purpose of this study was to explore whether anger was associated with engagement in specific NSSI methods, and whether anger uniquely predicted any functions of NSSI while controlling for the presence of other basic negative emotions (fear and sadness). An existing dataset of 61 veterans who reported engaging in NSSI in the past year was analyzed. Results indicated anger was the most common emotional antecedent to NSSI. Further, anger was associated with several methods of NSSI including burning oneself with a cigarette, carving pictures, designs or other marks into skin, sticking sharp objects into skin, severely scratching oneself, head banging, punching oneself, and punching walls or objects. Finally, when controlling for the presence of other negative emotions, anger was associated with engaging in NSSI to relieve tension, stop feeling numb, communicate with others, feel alive, get help from others, and prove to oneself how bad things are. These results highlight the importance of assessing and treating dysregulated anger in veterans who engage in self-harming behavior.

The objective of the present research was to examine the association between lifetime cannabis use disorder (CUD), current suicidal ideation, and lifetime history of suicide attempts in a large and diverse sample of Iraq/Afghanistan-era veterans (N = 3,233) using a battery of well-validated instruments. As expected, CUD was associated with both current suicidal ideation (OR = 1.683, p = 0.008) and lifetime suicide attempts (OR = 2.306, p < 0.0001), even after accounting for the effects of sex, posttraumatic stress disorder, depression, alcohol use disorder, non-cannabis drug use disorder, history of childhood sexual abuse, and combat exposure. Thus, the findings from the present study suggest that CUD may be a unique predictor of suicide attempts among Iraq/Afghanistan-era veterans; however, a significant limitation of the present study was its cross-sectional design. Prospective research aimed at understanding the complex relationship between CUD, mental health problems, and suicidal behavior among veterans is clearly needed at the present time.

The aim of the present study was to attempt to replicate the recently reported finding associating rs2400707 of the Adrenoceptor Beta 2, Surface (ADRB2) gene and childhood trauma on PTSD symptoms. Participants included a predominantly veteran cohort of non-Hispanic blacks (NHB; n = 949) and a pre-dominantly veteran cohort of non-Hispanic whites (NHW; n = 759). No main effects were observed for rs2400707 on PTSD diagnosis. Among the NHB participants, we observed an interaction between rs2400707 and history of childhood trauma, whereby with each additional A allele, the odds of having PTSD increased by 1.31, but only among those who had experienced childhood trauma (p = 0.038). The interaction with rs2400707 and childhood trauma was not observed among the NHW study participants (p = 0.892). Taken together, the findings from the present research provide further evidence that the adrenergic system may be an important modulator of PTSD risk; however, additional work is still needed to clarify the exact nature of the relationship between PTSD and rs2400707 of the ADRB2 gene.

Posttraumatic stress disorder (PTSD) is a significant problem among Iraq/Afghanistan-era veterans. To date, however, there has been only limited research on how the recent changes in DSM-5 influence the prevalence and factor structure of PTSD. To address this key issue, the present research used a modified version of a gold-standard clinical interview to assess PTSD among a large sample of Iraq/Afghanistan-era veterans (N = 414). Thirty-seven percent of the sample met DSM-5 criteria for PTSD compared to a rate of 38% when DSM-IV diagnostic criteria were used. Differences in rates of diagnosis between DSM-IV and DSM-5 were primarily attributable to changes to Criterion A and the separation of the "avoidance" and "numbing" symptoms into separate clusters. Confirmatory factor analysis (CFA) was used to compare the fit of the previous 3-factor DSM-IV model of PTSD to the 4-factor model specified in DSM-5, a 4-factor "dysphoria" model, and a 5-factor model. CFA demonstrated that the 5-factor model (re-experiencing, active avoidance, emotional numbing, dysphoric arousal, anxious arousal) provided the best overall fit to the data, although substantial support was also found for the 4-factor DSM-5 model. Low factor loadings were noted for two of the symptoms in the DSM-5 model (psychogenic amnesia and reckless/self-destructive behavior), raising questions regarding the adequacy of fit between these symptoms and the other core features of PTSD. Overall, findings suggest the DSM-5 model of PTSD is an improvement over the previous DSM-IV model of PTSD, but still may not represent the true underlying factor structure of PTSD.