Empathy and Schizotypy: A Network Comparison of the Interpersonal Reactivity Index in High and Low Schizotypy Groups.

Empathy is a multifaceted concept that is vital to effective social functioning; yet, it is impaired in high schizotypy groups. Furthermore, empathy has been found to be a mediator in the relationship between schizotypy and social functioning, highlighting the importance of empathy as a driver in social outcomes. Despite this, the four-factor structure of a widely-used measure of empathy-the Interpersonal Reactivity Index (IRI)-has been found to be psychometrically weak in high schizotypy samples. As such, this study aimed to assess differences in the item-level network of the IRI between high (n = 427) and low schizotypy groups (n = 470). The results reveal that there are significant differences in the structure of these networks, though they evidence similar strengths. Within the high schizotypy group, the network structure was consistent with the four-factor structure of the IRI subscales; items from each subscale clustered together and were distinct from those in the other subscales. By contrast, the low schizotypy group evidenced six clusters that did not mirror the IRI subscales. These results suggest that the item-level structure of the IRI is dependent upon the level of schizotypy of the sample, with the high schizotypy group's network functioning similarly to what would be expected from the original four-factor structure.

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.

Clinical and psychological implications of post-traumatic stress in firefighters: a moderated network study.

Firefighters are frequently exposed to trauma and may experience a unique symptom presentation of post-traumatic stress. Prior research has identified stronger associations between certain post-traumatic stress symptoms (e.g. detachment, intrusions, physiological reactivity) using network analysis. However, little is known about the effects of symptom severity and emergency work-related trauma on symptom networks. The present study probed the network structure of post-traumatic stress symptoms in trauma-exposed firefighters (N = 871) to model the dynamic interactions of psychological symptoms. We developed a network of post-traumatic stress symptoms and a network of post-traumatic stress with clinical covariates and used moderated network modelling to assess the effects of having PTSD and experiencing work-related trauma on the networks. We identified high edge correlations between several nodes (e.g. startle/hypervigilance, internal/external cue avoidance, detachment/lack of interest) and high centrality of detachment, external cue avoidance, and flashbacks. Additionally, having PTSD moderated positive network associations between risk-taking and suicidality and between distorted blame and post-traumatic cognitions. Work-related trauma moderated negative associations between appetite gain and loss and appetite loss and suicidality. Findings suggest that targeting specific symptoms of detachment, external cue avoidance, and flashbacks could allow for the development of effective trauma-informed interventions for these populations.

Negative mood and optimism bias: An experimental investigation of sadness and belief updating.

BACKGROUND AND OBJECTIVES: Understanding how individuals integrate new information to form beliefs under changing emotional conditions is crucial to describing decision-making processes. Previous research suggests that although most people demonstrate bias toward optimistic appraisals of new information when updating beliefs, individuals with dysphoric psychiatric conditions (e.g., major depression) do not demonstrate this same bias. Despite these findings, limited research has investigated the relationship between affective states and belief updating processes. METHODS: We induced neutral and sad moods in participants and had them complete a belief-updating paradigm by estimating the likelihood of negative future events happening to them, viewing the actual likelihood, and then re-estimating their perceived likelihood. RESULTS: We observed that individuals updated their beliefs more after receiving desirable information relative to undesirable information under neutral conditions. Further, we found that individuals did not demonstrate unrealistic optimism under negative affective conditions. LIMITATIONS: This study incorporated a population of university students under laboratory conditions and would benefit from replication and extension in clinical populations and naturalistic settings. CONCLUSIONS: These findings suggest that momentary fluctuations in mood affect how individuals integrate information to form beliefs.

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.

Can general surgery interns accurately measure their own technical skills? Analysis of cognitive bias in surgical residents' self-assessments.

BACKGROUND: Accurate self-assessment of knowledge and technical skills is key to self-directed education required in surgical training. We aimed to investigate the presence and magnitude of cognitive bias in self-assessment among a cohort of surgical interns. METHODS: First-year general surgery residents self-assessed performance on a battery of technical skill tasks (knot tying, suturing, vascular anastomosis, Fundamentals of Laparoscopic Skills peg transfer and intracorporeal suturing) at the beginning of residency. Each self-assessment was compared to actual performance. Bias and deviation were defined as arithmetic and absolute difference between actual and estimated scores. Spearman correlation assessed covariation between actual and estimated scores. Improvement in participant performance was analyzed after an end-of-year assessment. RESULTS: Participants (N = 34) completed assessments from 2017 to 2019. Actual and self-assessment scores were positively correlated (0.55, P < .001). Residents generally underestimated performance (bias -4.7 + 8.1). Participants who performed above cohort average tended to assess themselves more negatively (bias -7.3 vs -2.3) and had a larger discrepancy between self and actual scores than below average performers (deviation index 9.7 + 8.2 vs 3.8 + 3.1, P < .05). End-of-year total scores improved in 31 (91.2%) participants by an average of 11 points (90 possible). Least accurate residents in initial self-assessments (deviation indices >75th percentile) improved less than more accurate residents (median 5 vs 16 points, P < .05). All residents with a deviation index >75 percentile underestimated their performance. CONCLUSION: Cognitive bias in technical surgical skills is apparent in first-year surgical residents, particularly in those who are higher performers. Inaccuracy in self-assessment may influence improvement and should be addressed in surgical training.