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.

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.

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.

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.

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 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.

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.

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.

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.

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.

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.

Love Is Not All You Need: Understanding the Association Between Relationship Status and Relationship Dysfunction With Self-Directed Violence in Veterans.

INTRODUCTION: Research indicates that being married is associated with reduced risk of suicide and self-directed violence (SDV) relative to being divorced. Simultaneously, difficulties within relationships predict poorer health outcomes. However, research on relationship status rarely examines relationship functioning, obfuscating the joint contribution of these variables for SDV risk. METHOD: Veterans (N = 1,049) completed a survey that included assessment of relationship status, relationship functioning, and SDV history. Logistic regression models tested how (a) relationship status, (b) relationship dysfunction, and (c) being divorced compared to being in a low- or high-dysfunction relationship were associated with SDV, controlling for several intrapersonal risk factors. RESULTS: Veterans in a relationship did not differ in SDV history compared to divorced/separated veterans. However, more dysfunction within relationships was associated with greater odds of a history of SDV and suicidal cognitions. Finally, SDV histories were more likely among veterans endorsing high-dysfunction relationships compared with (a) low-dysfunction relationships and (b) divorced veterans. CONCLUSION: It may be insufficient to only consider relationship status when evaluating interpersonal risk factors for SDV. A single item assessing relationship dysfunction was associated with enacted SDV and suicidal cognitions over and above intrapersonal risk factors. Integrating such single-item measures into clinical practice could improve identification and subsequent tailored intervention for veterans at greater risk for SDV.

Relationship dysfunction was related to self-directed violence (SDV) history independent of other risk factors.Being in a relationship alone was not related to SDV history relative to being divorced.A single item assessing relationship dysfunction was related to SDV history.

First Responder Attitudes Regarding Working Near a Supervised Injection Facility: Relationship to Burnout, Secondary Traumatic Stress, and Compassion Satisfaction.

BACKGROUND: Emergency responders are the most frequent overdose responders, however, little is known about the impact of supervised injection facility (SIF) location on first responders. The purpose of this study was to determine whether firefighter/paramedic attitudes about being stationed near an SIF were related to burnout, secondary traumatic stress, and compassion satisfaction. METHODS: Firefighter/paramedics from Vancouver Fire and Rescue Services (n = 54) completed an online survey. General linear models were used to assess differences in burnout, secondary traumatic stress, and compassion satisfaction based on attitudes regarding being stationed near an SIF while controlling for occupational stress. FINDINGS: Firefighters with negative attitudes regarding station placement near an SIF experienced more burnout compared with those with neutral/mixed attitudes and less compassion satisfaction compared with those with positive attitudes. There were no differences between those with positive and neutral/mixed attitudes. CONCLUSIONS: These findings have implications for education and training of emergency responders stationed near SIFs. They also highlight the need for more research into the effects of and possible clinical opportunities needed to support first responders' work near an SIF. APPLICATION TO PRACTICE: While these findings represent early exploratory evidence, increased burnout and reduced compassion satisfaction may be common reactions among first responders who experience negative attitudes toward SIFs. Prevention efforts could incorporate programs to enhance health and well-being of first responders and education regarding substance use and harm reduction, while workforce surveillance for signs of distress or burnout could be implemented to trigger additional mental health services and interventions. while policymakers should remain aware of SIF-related impacts on all stakeholders, including first responders.

Using iterative random forest to find geospatial environmental and Sociodemographic predictors of suicide attempts.

Introduction: Despite a recent global decrease in suicide rates, death by suicide has increased in the United States. It is therefore imperative to identify the risk factors associated with suicide attempts to combat this growing epidemic. In this study, we aim to identify potential risk factors of suicide attempt using geospatial features in an Artificial intelligence framework. Methods: We use iterative Random Forest, an explainable artificial intelligence method, to predict suicide attempts using data from the Million Veteran Program. This cohort incorporated 405,540 patients with 391,409 controls and 14,131 attempts. Our predictive model incorporates multiple climatic features at ZIP-code-level geospatial resolution. We additionally consider demographic features from the American Community Survey as well as the number of firearms and alcohol vendors per 10,000 people to assess the contributions of proximal environment, access to means, and restraint decrease to suicide attempts. In total 1,784 features were included in the predictive model. Results: Our results show that geographic areas with higher concentrations of married males living with spouses are predictive of lower rates of suicide attempts, whereas geographic areas where males are more likely to live alone and to rent housing are predictive of higher rates of suicide attempts. We also identified climatic features that were associated with suicide attempt risk by age group. Additionally, we observed that firearms and alcohol vendors were associated with increased risk for suicide attempts irrespective of the age group examined, but that their effects were small in comparison to the top features. Discussion: Taken together, our findings highlight the importance of social determinants and environmental factors in understanding suicide risk among veterans.

Network analysis of posttraumatic stress disorder in a treatment-seeking sample of US firefighters and emergency medical technicians.

BACKGROUND: First responders, including firefighters and emergency medical technicians (EMTs), are under extreme stress from repeated exposure to potentially traumatic events. To optimize treatment for this population, it is critical to understand how the various posttraumatic stress disorder (PTSD) symptom factors are associated with one another so these relations may be targeted in treatment. METHOD: Using a sample of treatment-seeking firefighters/EMTs (N = 342), we conducted a partial correlation network analysis of the eight-factor model. A Bayesian directed acyclic graph (DAG) was used to estimate causal associations between clusters. RESULTS: Approximately 37 % of the sample screened positive for probable PTSD. Internal re-experiencing and external re-experiencing had the strongest edges. In the DAG, internal re-experiencing was the parent node and was potentially predictive of external re-experiencing, negative affect, dysphoric arousal, and avoidance. LIMITATIONS: Data were drawn from a treatment-seeking sample that may not generalize to all firefighters/EMTs. CONCLUSIONS: The current findings are consistent with prior research suggesting re-experiencing plays a critical role in developing and maintaining PTSD symptoms. Future research should investigate non-treatment-seeking first responders, as well as EMTs and firefighters as individual populations.