Predicting potential underreporting of firearm ownership in a nationally representative sample.

PURPOSE: This study utilized demographic and intrapersonal variables to identify individuals who may have falsely denied firearm ownership and determined if individuals can be divided into meaningful subgroups. METHODS: Participants were United States residents (N = 3500) recruited from January to June 2020. matched to the 2010 census data for age, race, sex, income, and education level. A Zero-Inflated Negative Binomial (ZINB) regression was utilized to determine potential underreporting of firearm ownership, and a latent class analysis was utilized to determine unique subgroups of those who were identified as underreporting firearm ownership in the ZINB. RESULTS: Participants (N = 1306) were identified as underreporting firearm ownership (excess zeros) based on a model that included demographic and intrapersonal variables. A latent class analysis indicated that among excess zeros, three unique subgroups exist. CONCLUSIONS: Determining who may be underreporting firearm ownership will allow for a more comprehensive understanding of firearm ownership in the US and more targeted safe storage messages that may reach those who own firearms and are at risk for firearm-related injury and death.

Demographic differences in the type of firearm and location of bodily injury in firearm suicide decedents.

This study describes the type of firearm used and location of bodily injury among demographic subgroups of suicide decedents. Data on those who died by suicide via firearm from the National Violent Death Reporting System (N = 117,126) between the years 2003-2018 was utilized. A series of five logistic regression analyses examining the age of decedent, type of firearm, location of wound site, loaded vs. unloaded firearms, and locked vs. unlocked storage, using predictors including gender, race, who owns the firearm and age were performed. Findings have important public health implications. Increasing safe storage or removing the specific types of firearms one is likely to use in their death from the home during a time of crisis may decrease risk of suicide.

Alcohol use in firefighters: A network model of behaviors and transdiagnostic risk.

BACKGROUND AND AIMS: Firefighters are at heightened risk for developing alcohol use disorder (AUD), possibly due to chronic stress and exposure to potentially traumatic events. Daily trauma experiences and transdiagnostic risk factors (i.e., anxiety sensitivity and distress intolerance) are related to posttraumatic stress and depressive symptoms, as well as alcohol use severity and alcohol as a coping strategy. Although alcohol use has been identified as a key target for addressing mental health in firefighters, prior research has not fully integrated transdiagnostic vulnerabilities, internalizing symptoms, posttraumatic stress symptoms, alcohol coping, and overall alcohol use into a dynamic network model. METHODS: We assessed the symptom structure of overall alcohol use in firefighters with a likely AUD and transdiagnostic risk factors in all firefighters using network analysis. RESULTS: Failing to meet expectations (Expected Influence [EI]: 1.32), morning dependence (EI: 1.07), and guilt about drinking (EI: 1.10) were most central to the network model developed for firefighters with a likely AUD. In a transdiagnostic model of use in firefighters overall, anxiety sensitivity cognitive concerns (EI: 1.48) and negative alterations to cognitions and mood related to trauma (EI: 1.87) had the highest influence on the network. Notable correlations were also identified between trauma arousal and overall alcohol use, between depression and alcohol coping motives, and between trauma avoidance and alcohol coping motives. CONCLUSIONS: Alcohol use behaviors may follow a unique etiologic pathway in firefighters and intervention strategies should target factors found to be more central to symptom networks.

Injury characteristics and circumstances of firearm trauma: Assessing suicide survivors and decedents.

INTRODUCTION: Despite representing fewer than 5% of suicide attempts, firearms account for over half of deaths. Yet there is little clinical information regarding firearm attempts, particularly survivors. We assessed clinical factors differentiating firearm suicide survivors from decedents, firearm attempters from other methods, and firearm attempters from similarly injured trauma patients. METHODS: We used clinical data from the National Trauma Data Bank (2017) to assess firearm suicide attempts using cross-sectional and case-control designs. We used logistic and multinomial regression to compare groups and assess firearm type and discharge destination. RESULTS: Older age, being uninsured, and injury location were associated with increased mortality among firearm attempters. Older age, White race, male sex, and being uninsured were associated with firearm attempts. Major psychiatric disorders were associated with firearm attempts and using a rifle or shotgun. Major psychiatric disorders, female sex, and smoking were associated with psychiatric discharge. Black and other race were associated with law enforcement discharge, and Black race was associated with lower odds of psychiatric discharge. Uninsured patients had lower odds of discharge to long-term care, psychiatric, or rehabilitation facilities. CONCLUSIONS: This study identifies factors associated with firearm suicide and includes indicators of disparities in health services for patients at high risk of suicide death.

Toward an integrative model of transdiagnostic risk factors and suicide: A network comparison of psychiatric outpatients.

Predictive models using traditional statistical methods have largely failed to describe suicide etiology. Network theory, which conceptualizes factors as mutually interacting, reinforcing elements of a complex outcome, can model relationships between transdiagnostic and neurocognitive vulnerability factors. The present study used a network approach to produce an atheoretical model of psychological factors and their interrelationships within a population of ideators and non-ideators. We developed two network models (i.e., suicidal ideators and psychiatric controls) describing the relationships between a diverse set of risk factors and symptom measures for a population of psychiatric outpatients. We compared networks using three measures of network structure (i.e., network structure invariance, global strength invariance, edge invariance) and described the differences. Network structures for ideators (N = 229) and non-ideators (N = 454) were stable and accurate. In non-ideators, cognitive-affective depression symptoms (Expected Influence [EI]: 2.06), trauma avoidance (EI: 1.08), and negative affect (EI: 0.81) were most influential to the psychological network. In ideators, cognitive-affective depression symptoms (EI: 1.77), intolerance of uncertainty-negative self-referent implications (EI: 1.29), and negative affect (EI: 1.19) were most influential. Invariance testing did not indicate significant differences in overall network structure between ideators and non-ideators (p = .111), but did indicate significant differences in node strength (p = .013). Significant differences in node EI were detected for intolerance of uncertainty-negative self-referent implications, anxiety sensitivity physical concerns, thwarted belongingness, worry, and negative affect. These findings indicated differences in network structures for suicidal psychiatric outpatients and provide crucial directions for future research on therapeutic targets for suicidal thoughts and behaviors.

A preliminary assessment of the link between anxiety sensitivity cognitive concerns and suicidal thoughts through dissociative symptoms.

Anxiety sensitivity (AS) and AS subfactors (physical, cognitive, and social) have been found to have robust associations with suicide risk. While the direct association between AS subfactors and suicide risk have been explored, little is known about how specific mechanisms, such as dissociation, might explain this relationship. This study aimed to run three analyses to examine the direct and indirect effects of suicidal thoughts and AS via dissociative symptoms. We predicted that dissociation would be a pathway through which AS physical concerns (ASPC) and AS cognitive concerns (ASCC) predicts suicidal ideation. Participants included 84 undergraduate students from a Southeastern University who were elevated on ASCC. Participants completed measures examining dissociative experiences, anxiety sensitivity, and current suicidal ideation. Results revealed that dissociation had a significant indirect effect with ASPC but not ASCC. The current preliminary study showed that ASCC had direct associations with suicide risk; however, those with lower levels of ASPC and dissociation may also be more likely to develop suicide risk. Future research should explore the possibility that the dissociation/ASPC and ASCC pathways are separate, but related, paths to suicidality.

Exploring dissociation as a facilitator of suicide risk: A translational investigation using virtual reality.

Research shows that suicidal behavior is not a result of a single cause or single event, but instead is an interaction of facilitators. One potential facilitator that needs further exploration is dissociation. Dissociation has been consistently linked to suicidal behavior, and theories have posited that dissociation increases the possibility of a suicidal act via intensified disconnect from the body. However, these theories do not indicate whether dissociation is a facilitator of suicide risk by increasing suicidal ideation and attempt behaviors. Additionally, unique considerations of working with suicidal individuals have caused suicide research to lag behind research where laboratory manipulation is possible. Virtual Reality (VR) technology is potentially a useful new translational approach to studying suicide causes. Undergraduate students (n = 145) completed a dissociation induction task and then decided whether to engage in a virtual suicide option. Results showed that those who reported higher dissociation scores also reported higher suicide risk and indicated that certain facets of dissociation (i.e., depersonalization and derealization) significantly predicted engaging in virtual suicide. Results indicate that dissociation should be considered as a factor in the assessment and treatment of suicide risk. Limitations include that this used an uncommon suicide attempt method (i.e., jumping), and engaging in VR suicide is not the same as engaging in actual suicide or suicidal behaviors. However, VR may recreate certain sensations and situations one might experience when engaging in a suicide attempt and thus should be considered assessing and treating suicide risk.

Suicide and self-injury outcomes for patients with comorbid psychiatric and physical health conditions.

Suicide is a transdiagnostic public health issue that affects nearly all psychiatric disorders, individuals without a mental health diagnosis, and individuals with physical health issues. We assessed the relationship between these variables and suicide outcomes using a novel epidemiological research paradigm. Data were collected from the National Trauma Data Bank. Participants included patients admitted to trauma units for suicide and self-injury (n = 13,422). Patients were classified to one of four comorbid condition groups: no comorbidity, comorbid physical condition, comorbid major psychiatric condition, or multimorbidity (comorbid physical and psychiatric conditions). Multivariable logistic regression measured associations between comorbid condition and mortality and multivariable linear regression measured associations between comorbidity and injury severity. Mortality in patients with physical health comorbidity was not significant, but patients with psychiatric comorbidity or multimorbidity had significantly lower mortality than patients without either. No association between injury severity and comorbidity was detected. There were no differences in suicide mortality for individuals with a physical health comorbidity, but mortality was lower for individuals with a comorbid major psychiatric illness or multimorbidity. Since physical health conditions and psychiatric illness are associated with eventual suicide mortality, prevention strategies could target these populations at trauma units for suicide and self-injury admissions.

Substance use and suicide outcomes among self-injured trauma patients.

BACKGROUND: Research indicates alcohol (AUD) or substance (SUD) use disorders and acute alcohol or drug use serve as risk factors for suicidal behaviors and death both distally and proximally to a suicidal event. However, limited research has investigated these relationships among medically serious suicide attempters at the time of injury without relying on cohorts of substance users only or by examining suicide decedent characteristics. METHODS: Data were collected from the National Trauma Data Bank (NTDB) for 2017. The sample comprised patients who engaged in suicidal and self-injurious acts that were medically serious enough to require trauma admission and were tested for alcohol (N = 9,196) or drug (N = 8,121) exposure upon admission. Logistic regression determined relationships between acute alcohol/substance use, presence of AUDs and SUDs and suicide mortality risk, while linear regression evaluated substance conditions and injury severity and length of stay (LOS). RESULTS: AUDs (OR = 0.59[0.42-0.83]) and SUDs (OR = 0.66[0.48-0.90]) had reduced odds of death but increased LOS (ß = 1.7, p < .001; ß = 0.82, p = .024). Blood alcohol concentration (BAC) was positively associated with reduced odds of death (OR = 0.20[0.06-0.61]), injury severity (ß = -5.3, p < .001), and LOS (ß = -7.5, p < .001). Presence of cocaine (ß = -0.80, p = .044) and opioids (ß = -1.4, p < .001) were associated lower injury severity, while MDMA (ß = 3.6, p = .016) and methamphetamine (ß = 1.5, p = .025) were associated with increased injury severity. CONCLUSIONS: While higher BAC may be associated with lower odds of mortality during a single high-risk suicide event, substance users may be at increased risk for worse outcomes over time. Targeted interventions should be considered to interrupt and develop healthy alternatives for survivors with substance use conditions.