Firearm leadership: Development, analysis, and application of a novel concept to message secure storage of firearms in the military.

Suicide remains a leading cause of death in the United States (U.S.) Armed Forces. Access to firearms increases the risk of death by suicide due to the high lethality of firearm-related injuries (~90% in suicide attempts) and the highly dynamic nature of suicide which includes rapid change from low- to high-risk states. Critical gaps remain in research, programming, and communication amongst scientists, Department of Defense (DoD) programmatic leaders, front-line commanders, and service members. To enhance communication and coordination, in June 2022, the first-ever national "Firearm Suicide Prevention in the Military: Messaging and Interventions Summit" was held, with discussion of Firearm Leadership, a concept that emphasizes the importance of communication about lethal means safety (LMS) among military leaders and service members. Through a discussion of scientific literature, the points identified during the Summit, as well as presenting illustrative case examples derived from suicide death reviews, we aim to provide a conceptual model for the benefits of Firearm Leadership and how some barriers can be overcome. Following the Summit, further discussions on "Firearm Leadership" led to the development of a Firearm Leadership Factsheet.

Associations of vulnerability to stressful life events with suicide attempts after active duty among high-risk soldiers: results from the Study to Assess Risk and Resilience in Servicemembers-longitudinal study (STARRS-LS).

BACKGROUND: The transition from military service to civilian life is a high-risk period for suicide attempts (SAs). Although stressful life events (SLEs) faced by transitioning soldiers are thought to be implicated, systematic prospective evidence is lacking. METHODS: Participants in the Army Study to Assess Risk and Resilience in Servicemembers (STARRS) completed baseline self-report surveys while on active duty in 2011-2014. Two self-report follow-up Longitudinal Surveys (LS1: 2016-2018; LS2: 2018-2019) were subsequently administered to probability subsamples of these baseline respondents. As detailed in a previous report, a SA risk index based on survey, administrative, and geospatial data collected before separation/deactivation identified 15% of the LS respondents who had separated/deactivated as being high-risk for self-reported post-separation/deactivation SAs. The current report presents an investigation of the extent to which self-reported SLEs occurring in the 12 months before each LS survey might have mediated/modified the association between this SA risk index and post-separation/deactivation SAs. RESULTS: The 15% of respondents identified as high-risk had a significantly elevated prevalence of some post-separation/deactivation SLEs. In addition, the associations of some SLEs with SAs were significantly stronger among predicted high-risk than lower-risk respondents. Demographic rate decomposition showed that 59.5% (s.e. = 10.2) of the overall association between the predicted high-risk index and subsequent SAs was linked to these SLEs. CONCLUSIONS: It might be possible to prevent a substantial proportion of post-separation/deactivation SAs by providing high-risk soldiers with targeted preventive interventions for exposure/vulnerability to commonly occurring SLEs.

A practical risk calculator for suicidal behavior among transitioning U.S. Army soldiers: results from the Study to Assess Risk and Resilience in Servicemembers-Longitudinal Study (STARRS-LS).

BACKGROUND: Risk of suicide-related behaviors is elevated among military personnel transitioning to civilian life. An earlier report showed that high-risk U.S. Army soldiers could be identified shortly before this transition with a machine learning model that included predictors from administrative systems, self-report surveys, and geospatial data. Based on this result, a Veterans Affairs and Army initiative was launched to evaluate a suicide-prevention intervention for high-risk transitioning soldiers. To make targeting practical, though, a streamlined model and risk calculator were needed that used only a short series of self-report survey questions. METHODS: We revised the original model in a sample of n = 8335 observations from the Study to Assess Risk and Resilience in Servicemembers-Longitudinal Study (STARRS-LS) who participated in one of three Army STARRS 2011-2014 baseline surveys while in service and in one or more subsequent panel surveys (LS1: 2016-2018, LS2: 2018-2019) after leaving service. We trained ensemble machine learning models with constrained numbers of item-level survey predictors in a 70% training sample. The outcome was self-reported post-transition suicide attempts (SA). The models were validated in the 30% test sample. RESULTS: Twelve-month post-transition SA prevalence was 1.0% (s.e. = 0.1). The best constrained model, with only 17 predictors, had a test sample ROC-AUC of 0.85 (s.e. = 0.03). The 10-30% of respondents with the highest predicted risk included 44.9-92.5% of 12-month SAs. CONCLUSIONS: An accurate SA risk calculator based on a short self-report survey can target transitioning soldiers shortly before leaving service for intervention to prevent post-transition SA.

Predicting suicide attempts among U.S. Army soldiers after leaving active duty using information available before leaving active duty: results from the Study to Assess Risk and Resilience in Servicemembers-Longitudinal Study (STARRS-LS).

Suicide risk is elevated among military service members who recently transitioned to civilian life. Identifying high-risk service members before this transition could facilitate provision of targeted preventive interventions. We investigated the feasibility of doing this by attempting to develop a prediction model for self-reported suicide attempts (SAs) after leaving or being released from active duty in the Study to Assess Risk and Resilience in Servicemembers-Longitudinal Study (STARRS-LS). This study included two self-report panel surveys (LS1: 2016-2018, LS2: 2018-2019) administered to respondents who previously participated while on active duty in one of three Army STARRS 2011-2014 baseline self-report surveys. We focus on respondents who left active duty >12 months before their LS survey (n = 8899). An ensemble machine learning model using predictors available prior to leaving active duty was developed in a 70% training sample and validated in a 30% test sample. The 12-month self-reported SA prevalence (SE) was 1.0% (0.1). Test sample AUC (SE) was 0.74 (0.06). The 15% of respondents with highest predicted risk included nearly two-thirds of 12-month SAs and over 80% of medically serious 12-month SAs. These results show that it is possible to identify soldiers at high post-transition self-report SA risk before the transition. Future model development is needed to examine prediction of SAs assessed by administrative data and using surveys administered closer to the time of leaving active duty.

Older Adults' Preferences Regarding Firearm Locking Device Use: Results of a National Survey.

OBJECTIVES: Use of firearm locking devices may reduce the risk of suicide and injury among older adults. This study describes older adults' preferences when choosing a firearm locking device. METHODS: We conducted a secondary analysis of a nationally representative survey of US adult firearm owners (N = 2,152). We compared older adults (≥65y) with relatively younger adults (<65y), stratified by self-reported gender. RESULTS: The top three factors cited as impacting firearm locking device selection included speed (53.6%) and ease of firearm access from device (52.4%), and cost of the device (28.7%). These top factors were comparable for all adults across genders. A larger proportion of older vs younger males reported that a primary preference was whether the device allows the firearm to remain loaded with ammunition; smaller proportions of older vs younger males reported strength of device (device durability) and costs. CONCLUSIONS: Preference among older adults, particularly older males, for locking devices that maintain the firearms easy to access - especially, loaded with ammunition - might impact firearm injury prevention efforts for this high-risk group. CLINICAL IMPLICATIONS: For harm reduction, use of any firearm locking device may reduce the risk of firearm injury or death. Clinicians are encouraged to explore reasons for locking device selection within motivational interviewing frameworks.

A Comparison of Dimensional and Categorical Approaches to Characterizing the Association Between Posttraumatic Stress Disorder and Future Suicide Attempts.

The present study compared the utility of categorical (i.e., diagnostic status) and dimensional (i.e., symptom severity) approaches to measuring posttraumatic stress disorder (PTSD) in predicting future suicide attempts among participants in a nationwide, longitudinal study of U.S. military veterans who were deployed in support of operations in Iraq or Afghanistan after the September 11, 2001, terrorist attacks (9/11) and were enrolled in Veterans Health Administration services (N = 1,649). Following an initial assessment of PTSD symptoms, we assessed for suicide attempts at two subsequent time points (M = 28.74 months, SD = 8.72 and M = 55.11 months, SD = 6.89 following the initial assessment). Between the initial and final assessments, 125 participants (7.58%) made at least one suicide attempt. All categorical and dimensional indicators of PTSD predicted suicide attempts at both time points except the categorical indicator for reexperiencing symptoms. Categorical indicators predicting suicide attempts demonstrated excellent sensitivity but poor specificity and overall accuracy. The point along the continuum at which PTSD symptom severity was most accurate regarding the prediction of future suicide attempts was well above the threshold previously established as indicating a probable diagnosis. Although this score was less sensitive than diagnostic indicators, it demonstrated greater specificity and overall accuracy in predicting future suicide attempts. The present results indicate that veterans whose PTSD symptoms satisfy the diagnostic criteria have a higher risk of future suicide attempts, but this risk appears to be even higher for veterans with symptom levels above the diagnostic threshold.

Urinalysis-Assessed and Self-Reported Substance Use as Correlates of Multiple Indicators of Suicide Risk Among Acute Care Psychiatric Inpatients.

Nonalcohol substance use is a robust correlate of suicide risk. However, few data exist regarding the degree to which nonalcohol substance use, as measured by objective indicators (e.g., urinalysis toxicology screen), is related to suicide risk. This study examined the associations of a multimodal assessment of nonalcohol substance use and multiple indicators of suicide risk. Overall, 168 acute care psychiatric inpatients participated and provided data spanning urinalysis toxicology screen and self-report instruments. Substance use per urinalysis toxicology screen and self-report was not related to current suicidal ideation severity. However, substance use per urinalysis toxicology screen was significantly associated with a suicide attempt history and suicidality as a primary reason for admission. Substance use is an important variable to consider in suicide risk conceptualization. Findings underscore the importance of leveraging, when possible, objective indicators of substance use (e.g., urinalysis toxicology screen) in suicide risk formulations.

Documenting suicide risk assessments and proportionate clinical actions to improve patient safety and mitigate legal risk.

Few clinical practices are as important for simultaneously augmenting patient safety and mitigating legal risk as the judicious evaluation and stratification of a patient's risk for suicide, proportionate clinical actions based thereon taken by the healthcare provider, and contemporaneous documentation of the foregoing. In this article, we draw from our combined decades of multidisciplinary experience as a clinical psychologist, forensic psychiatrist, medical malpractice attorney, and clinical psychology trainee to discuss the documentation of suicide risk assessment and management as a conduit to patient safety and legal risk mitigation. We additionally highlight documentation as a core clinical competency across disciplines and note areas of improvement, such as increased training, to bolster documentation practices.

Posttraumatic stress disorder symptoms and mindfulness facets in relation to suicide risk among firefighters.

OBJECTIVE: Posttraumatic stress disorder (PTSD) symptoms are associated with increased suicide risk among firefighters. Few studies have examined modifiable factors, such as mindfulness facets, that might attenuate this association. This study examined the interactive effects of PTSD symptoms and mindfulness facets in relation to suicide risk among firefighters. METHOD: Overall, 831 career firefighters were assessed for PTSD symptoms, mindfulness facets, and suicide risk via the PTSD Checklist for DSM-5, Five Facet Mindfulness Questionnaire, and Suicidal Behaviors Questionnaire-Revised, respectively. RESULTS: Greater PTSD symptoms were associated with more severe suicide risk; however, higher levels of two specific mindfulness facets, acting with awareness and nonjudging of inner experience, attenuated this association. By contrast, higher levels of the observing facet of mindfulness potentiated the association between PTSD symptoms and suicide risk. CONCLUSIONS: Suicide prevention initiatives among firefighters, particularly those experiencing trauma-related sequelae, might benefit from the inclusion of mindfulness-based practices alongside frontline empirically-supported approaches.

Investigating the reliability of suicide attempt history reporting across five measures: A study of US military service members at risk of suicide.

OBJECTIVE: Utilizing a sample of military service members at risk of suicide, this study aimed to: (a) identify patterns of suicide attempt (SA) history reporting across five measures and (b) evaluate whether consistent SA reporters (i.e., individuals who consistently report an SA history across measures) differ from inconsistent SA reporters on other clinical severity indices. METHOD: Participants (N = 984) completed five validated SA history measures and self-report psychiatric symptom measures. RESULTS: Of the sample, 35.4% inconsistently responded to SA history measures. Inconsistent reporters disclosed more severe suicide threat histories than consistent reporters. On all other clinical severity indices, inconsistent reporters evinced either less severe or comparable symptom levels. CONCLUSIONS: A nontrivial portion of service members may respond inconsistently to different assessments of SA history. Research is needed to identify factors that account for inconsistent SA history reporting and to improve the accuracy of SA history assessments among military personnel.

PTSD from a suicide attempt: An empirical investigation among suicide attempt survivors.

OBJECTIVES: Suicide attempts (SAs), by definition, represent a risk for serious injury or death; thus, one's SA may contribute to the development of posttraumatic stress disorder (PTSD). Yet, empirical data on this topic are lacking. This study aimed to characterize the phenomenology, rate, and associated features of PTSD following one's SA. METHOD: A total of 386 adult SA survivors recruited from web-based sources participated. RESULTS: Overall, 27.5% (95% confidence interval = 23.1-31.9%) of SA survivors screened positive for a probable SA-related PTSD diagnosis. Individuals with a probable SA-related PTSD diagnosis reported greater current suicidal intent than those without this probable diagnosis; this association was significant at low, but not high, levels of depression symptoms. CONCLUSIONS: A substantial proportion of SA survivors may experience SA-related PTSD. SA-related PTSD may be a viable assessment and intervention target to improve the quality of life and to reduce future suicide risk among SA survivors.

Putamen Volume Differences Among Older Adults: Depression Status, Melancholia, and Age.

BACKGROUND: Individuals with major depressive disorder (MDD) may exhibit smaller striatal volumes reflecting deficits in the reward circuit. Deficits may change with age and be more pronounced among the melancholic subtype. Limited research has investigated striatal volume differences in older adults and by depression subtypes. METHOD: We used baseline data from the Neurocognitive Outcomes of Depression in the Elderly study. We examined volumetric differences in the putamen and caudate nucleus among older adults (60 years and older), comparing healthy control participants (n = 134) to depressed participants (n = 226), and comparing nonmelancholic depressed participants (n = 93) to melancholic depressed participants (n = 133). Group-by-age interactions were examined. RESULTS: There were no significant group differences for the caudate nucleus. For the left putamen, investigation of the significant group-by-age interaction revealed that volume size was greater for the healthy controls compared to the depressed participants but only at younger ages (60-65 years); group differences diminished with increasing age. Examining volume by depression subtype revealed that the melancholic depressed participants had a smaller left putamen compared to the nonmelancholic depressed participants. Anhedonia symptoms were related to both smaller left and right putamen. CONCLUSION: Structural abnormalities in reward regions may underlie the anhedonic phenotype. Volume loss associated with MDD may attenuate in older age.

Anxiety sensitivity and suicide risk among firefighters: A test of the depression-distress amplification model.

BACKGROUND: Firefighters represent an occupational group at increased suicide risk. How suicidality develops among firefighters is poorly understood. The depression-distress amplification model posits that the effects of depression symptoms on suicide risk will be intensified in the context of anxiety sensitivity (AS) cognitive concerns. The current study tested this model among firefighters. METHODS: Overall, 831 firefighters participated (mean [SD] age = 38.37 y [8.53 y]; 94.5% male; 75.2% White). The Center for Epidemiologic Studies Depression Scale (CES-D), Anxiety Sensitivity Index-3 (ASI-3), and Suicidal Behaviors Questionnaire-Revised (SBQ-R) were utilized to assess for depression symptoms, AS concerns (cognitive, physical, social), and suicide risk, respectively. Linear regression interaction models were tested. RESULTS: The effects of elevated depression symptoms on increased suicide risk were augmented when AS cognitive concerns were also elevated. Unexpectedly, depression symptoms also interacted with AS social concerns; however, consistent with expectations, depression symptoms did not interact with AS physical concerns in the prediction of suicide risk. CONCLUSIONS: In the context of elevated depression symptoms, suicide risk is potentiated among firefighters reporting elevated AS cognitive and AS social concerns. Findings support and extend the depression-distress amplification model of suicide risk within a sample of firefighters. Interventions that successfully impact AS concerns may, in turn, mitigate suicide risk among this at-risk population.

Posttraumatic Stress Disorder Symptoms and Suicide Risk in Male Firefighters: The Mediating Role of Anxiety Sensitivity.

Posttraumatic stress disorder (PTSD) symptoms are positively related to suicide risk among firefighters. One mechanism that may account for this relationship is anxiety sensitivity (AS) cognitive concerns-the fear that cognitive symptoms of anxiety will have catastrophic consequences. We sought to replicate the mediating effect of AS cognitive concerns on the relationship between PTSD symptoms and suicide risk among 214 trauma-exposed male firefighters with non-zero suicide risk. Bootstrap mediation analyses tested AS cognitive concerns as a statistical mediator of PTSD symptoms (total and symptoms clusters scores) and suicide risk, controlling for depression symptoms and relevant demographic variables. AS cognitive concerns statistically mediated the relationship between PTSD symptoms (total score, as well as intrusion, avoidance, and arousal-reactivity symptoms clusters) and suicide risk; however, the reverse was also true. AS cognitive concerns may confer risk for suicide among trauma-exposed firefighters. Firefighters may benefit from AS-specific interventions, which are shown to reduce PTSD symptoms and suicidality.

Anxiety, depression, and the suicidal spectrum: a latent class analysis of overlapping and distinctive features.

Anxiety and depression diagnoses are associated with suicidal thoughts and behaviours. However, a categorical understanding of these associations limits insight into identifying dimensional mechanisms of suicide risk. This study investigated anxious and depressive features through a lens of suicide risk, independent of diagnosis. Latent class analysis of 97 depression, anxiety, and suicidality-related items among 616 psychiatric outpatients indicated a 3-class solution, specifically: (1) a higher suicide-risk class uniquely differentiated from both other classes by high reported levels of depression and anxious arousal; (2) a lower suicide-risk class that reported levels of anxiety sensitivity and generalised worry comparable to Class 1, but lower levels of depression and anxious arousal; and (3) a low to non-suicidal class that reported relatively low levels across all depression and anxiety measures. Discriminants of the higher suicide-risk class included borderline personality disorder; report of worthlessness, crying, and sadness; higher levels of anxious arousal and negative affect; and lower levels of positive affect. Depression and anxiety diagnoses were not discriminant between higher and lower suicide risk classes. This transdiagnostic and dimensional approach to understanding the suicidal spectrum contrasts with treating it as a depressive symptom, and illustrates the advantages of a tripartite model for conceptualising suicide risk.

Exposure to suicide and suicide bereavement among women firefighters: Associated suicidality and psychiatric symptoms.

OBJECTIVE: To examine experiences with suicide exposure and bereavement among women firefighters. METHODS: Women firefighters (N = 266, Mage  = 37.64y) completed self-report measures assessing their experiences with suicide exposure, history of suicidality, current psychiatric symptoms, and suicide risk. RESULTS: Three-fourths (74.4%) of participants reported knowing someone who had died by suicide; of these participants, 31.3% reported losing a fellow firefighter to suicide. Exposure to suicide during one's firefighting career was associated with more severe psychiatric symptoms and suicide risk. Greater impact of a suicide death was significantly associated with more severe current suicide risk, even after controlling for prior suicidality and other psychiatric symptoms. CONCLUSIONS: Women firefighters exposed to suicide during their careers may experience more severe psychiatric symptoms and increased suicide risk as compared to their counterparts without this exposure. In particular, women firefighters who are more severely impacted by a suicide loss may be at increased suicide risk.

Examining the characteristics and clinical features of in- and between-session suicide risk assessments among psychiatric outpatients.

OBJECTIVE: To evaluate the characteristics of suicide risk assessments completed using the Decision Tree framework both in and between psychotherapy sessions, clinical features of patients for whom between-session assessments are indicated, and data collected across assessments. METHOD: Data were collected from 1,358 suicide risk assessments conducted with psychiatric outpatients (N = 41) at elevated suicide risk engaged in care at a psychology training clinic. RESULTS: Participants completed an average of 4.75 (standard deviation = 4.95) suicide risk assessments (2.81 ± 4.43 between-session assessments) per each month in treatment. Assessment frequency and patient ratings of suicidal desire and intent were each significantly associated with therapist risk level categorizations. CONCLUSION: The Decision Tree framework's in- and between-session assessments have the potential to be implemented in a routinized format among psychiatric outpatients at elevated suicide risk. Additional research is needed to establish the feasibility and clinical utility of this framework across samples and providers.

Women Firefighters and Workplace Harassment: Associated Suicidality and Mental Health Sequelae.

This cross-sectional study investigated the association between harassment, career suicidality, and psychiatric symptoms among women firefighters. Women firefighters (n = 290) completed self-report measures of experiences with harassment on the job, career suicidality, and various psychiatric symptoms. Logistic regression analyses and one-way analyses of variance were used to address study aims. Of the sample, 21.7% reported having experienced sexual harassment and 20.3% reported having been threatened or harassed in another way on their firefighting job. Sexual harassment and other threats/harassment on the job were both significantly associated with a greater likelihood of reporting career suicidal ideation, as well as reporting more severe psychiatric symptoms. Harassment and threats experienced on the job may be associated with increased suicide risk and more severe psychiatric symptoms among women firefighters. Efforts are needed to reduce the occurrence of harassment and threats within the fire service and provide support for women firefighters who have been harassed or threatened.