Pursuing the developmental aims of the triarchic model of psychopathy: Creation and validation of triarchic scales for use in the USC: RFAB longitudinal twin project.

The triarchic model was advanced as an integrative, trait-based framework for investigating psychopathy using different assessment methods and across developmental periods. Recent research has shown that the triarchic traits of boldness, meanness, and disinhibition can be operationalized effectively in youth, but longitudinal research is needed to realize the model's potential to advance developmental understanding of psychopathy. We report on the creation and validation of scale measures of the triarchic traits using questionnaire items available in the University of Southern California Risk Factors for Antisocial Behavior (RFAB) project, a large-scale longitudinal study of the development of antisocial behavior that includes measures from multiple modalities (self-report, informant rating, clinical-diagnostic, task-behavioral, physiological). Using a construct-rating and psychometric refinement approach, we developed triarchic scales that showed acceptable reliability, expected intercorrelations, and good temporal stability. The scales showed theory-consistent relations with external criteria including measures of psychopathy, internalizing/externalizing psychopathology, antisocial behavior, and substance use. Findings demonstrate the viability of measuring triarchic traits in the RFAB sample, extend the known nomological network of these traits into the developmental realm, and provide a foundation for follow-up studies examining the etiology of psychopathic traits and their relations with multimodal measures of cognitive-affective function and proneness to clinical problems.

Development of the Multidimensional Personality Questionnaire-55 abbreviated research scales.

The Multidimensional Personality Questionnaire (MPQ) is a normal range inventory for assessing a variety of empirically derived primary traits. These trait scores can be differentially weighted to estimate higher-order broad dimensions such as Positive Emotionality (PEM), Negative Emotionality (NEM), and Constraint (CON). However, broad trait scores are estimated using proprietary regression equations and necessitate near complete administration of the inventory. We aimed to increase measurement efficiency by creating abbreviated item-based approximations of these weighted scores. To parsimoniously delineate and differentiate the broad traits, classical test theory and item response theory approaches were used to identify five items from each primary trait scale approximating the weighted estimates while also maintaining the breadth of MPQ content coverage. Initial scale development relied on the MPQ-276 (standard form) normative sample (n = 1,237), which was followed by cross-validation using two samples of twins and cotwins from the Minnesota Twin Family Study (n = 1,304, n = 1,305). Additional validation was conducted using a third sample of undergraduate students (n = 201).The resulting item-based scales (PEM-20, NEM-15, CON-15) demonstrated strong convergence with the established proprietary broad trait estimates. Furthermore, these abbreviated scales exhibited similar associations with the external measures of personality and psychopathology. Abbreviated item-based scales may have utility for efficient estimation of the same broadband personality dimensions assessed by longer forms of the MPQ. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Relationship between transdiagnostic dimensions of psychopathology and traumatic brain injury (TBI): A TRACK-TBI study.

Neuropsychiatric symptoms are common, comorbid, and often disabling for patients with traumatic brain injury (TBI). Identifying transdiagnostic symptom dimensions post-TBI may help overcome limitations of traditional psychiatric diagnoses and advance treatment development. We characterized the dimensional structure of neuropsychiatric symptoms at 2-weeks postinjury in n = 1,732 TBI patients and n = 238 orthopedic-injured trauma controls (OTC) from the Transforming Research and Clinical Knowledge in TBI (TRACK-TBI) study. Symptoms were reported on the Brief Symptom Inventory-18, Patient Health Questionnaire-9 Depression checklist, PTSD Checklist for DSM-5, PROMIS Pain Intensity scale, and Insomnia Severity Index. We established a novel factor model of neuropsychiatric symptoms and evaluated how 3 TBI severity strata and OTC patients differed in symptom severity. The final factor model had 6 first-order factors subsumed by 2 second-order factors: Internalizing (encompassing Depression, Anxiety, and Fear) and Somatic symptoms (Sleep, Physical, Pain). Somatic symptoms fit better as a correlated factor of (vs. a lower-order factor within) Internalizing. All symptom dimensions except for Pain were more severe in 1 or more TBI subgroups, as compared to the OTC group. Milder brain injury was generally associated with more severe symptoms, whereas more general injury severity (higher level of care, e.g., emergency department, intensive care unit) was associated with more pain. The findings indicate a broad factor resembling the internalizing factor of general psychopathology in traumatically injured patients, alongside a distinct somatic symptom factor. Brain injury, especially milder brain injury, may exacerbate liabilities toward these symptoms. These neuropsychiatric dimensions may help advance more precision medicine research for TBI. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Latent Profile Analysis of Neuropsychiatric Symptoms and Cognitive Function of Adults 2 Weeks After Traumatic Brain Injury: Findings From the TRACK-TBI Study.

Importance: Heterogeneity across patients with traumatic brain injury (TBI) presents challenges for clinical care and intervention design. Identifying distinct clinical phenotypes of TBI soon after injury may inform patient selection for precision medicine clinical trials. Objective: To investigate whether distinct neurobehavioral phenotypes can be identified 2 weeks after TBI and to characterize the degree to which early neurobehavioral phenotypes are associated with 6-month outcomes. Design, Setting, and Participants: This prospective cohort study included patients presenting to 18 US level 1 trauma centers within 24 hours of TBI from 2014 to 2019 as part of the Transforming Research and Clinical Knowledge in TBI (TRACK-TBI) study. Data were analyzed from January 28, 2020, to January 11, 2021. Exposures: TBI. Main Outcomes and Measures: Latent profiles (LPs) were derived from common dimensions of neurobehavioral functioning at 2 weeks after injury, assessed through National Institutes of Health TBI Common Data Elements (ie, Brief Symptom Inventory-18, Patient Health Questionnaire-9 Depression checklist, Posttraumatic Stress Disorder Checklist for DSM-5, PROMIS Pain Intensity scale, Insomnia Severity Index, Rey Auditory Verbal Learning Test, Wechsler Adult Intelligence Scale-Fourth Edition Coding and Symbol Search subtests, Trail Making Test, and NIH Toolbox Cognitive Battery Pattern Comparison Processing Speed, Dimensional Change Card Sort, Flanker Inhibitory Control and Attention, and Picture Sequence Memory subtests). Six-month outcomes were the Satisfaction With Life Scale (SWLS), Quality of Life after Brain Injury-Overall Scale (QOLIBRI-OS), Glasgow Outcome Scale-Extended (GOSE), and Rivermead Post-Concussion Symptoms Questionnaire (RPQ). Results: Among 1757 patients with TBI included, 1184 (67.4%) were men, and the mean (SD) age was 39.9 (17.0) years. LP analysis revealed 4 distinct neurobehavioral phenotypes at 2 weeks after injury: emotionally resilient (419 individuals [23.8%]), cognitively impaired (368 individuals [20.9%]), cognitively resilient (620 individuals [35.3%]), and neuropsychiatrically distressed (with cognitive weaknesses; 350 individuals [19.9%]). Adding LP group to models including demographic characteristics, medical history, Glasgow Coma Scale score, and other injury characteristics was associated with significantly improved estimation of association with 6-month outcome (GOSE R2 increase = 0.09-0.19; SWLS R2 increase = 0.12-0.22; QOLIBRI-OS R2 increase = 0.14-0.32; RPQ R2 = 0.13-0.34). Conclusions and Relevance: In this cohort study of patients with TBI presenting to US level-1 trauma centers, qualitatively distinct profiles of symptoms and cognitive functioning were identified at 2 weeks after TBI. These distinct phenotypes may help optimize clinical decision-making regarding prognosis, as well as selection and stratification for randomized clinical trials.

Validity of the Brief Test of Adult Cognition by Telephone in Level 1 Trauma Center Patients Six Months Post-Traumatic Brain Injury: A TRACK-TBI Study.

Our objective was to examine the construct validity of the Brief Test of Adult Cognition by Telephone (BTACT) and its relationship to traumatic brain injury (TBI) of differing severities. Data were analyzed on 1422 patients with TBI and 170 orthopedic trauma controls (OTC) from the multi-center Transforming Research and Clinical Knowledge in TBI (TRACK-TBI) study. Participants were assessed at 6 months post-injury with the BTACT and an in-person neuropsychological battery. We examined the BTACT's factor structure, factorial group invariance, convergent and discriminant validity, and relationship to TBI and TBI severity. Confirmatory factor analysis supported both a 1-factor model and a 2-factor model comprising correlated Episodic Memory and Executive Function (EF) factors. Both models demonstrated strict invariance across TBI severity and OTC groups. Correlations between BTACT and criterion measures suggested that the BTACT memory indices predominantly reflect verbal episodic memory, whereas the BTACT EF factor correlated with a diverse range of cognitive tests. Although the EF factor and other BTACT indices showed significant relationships with TBI and TBI severity, some group effect sizes were larger for more comprehensive in-person cognitive tests than the BTACT. The BTACT is a promising, brief, phone-based cognitive screening tool for patients with TBI. Although the BTACT's memory items appear to index verbal Episodic Memory, items that purport to assess EFs may reflect a broader array of cognitive domains. The sensitivity of the BTACT to TBI severity is lower than domain-specific neuropsychological measures, suggesting it should not be used as a substitute for comprehensive, in-person cognitive testing at 6 months post-TBI.

Invariance of the Bifactor Structure of Mild Traumatic Brain Injury (mTBI) Symptoms on the Rivermead Postconcussion Symptoms Questionnaire Across Time, Demographic Characteristics, and Clinical Groups: A TRACK-TBI Study.

This study aimed to elucidate the structure of the Rivermead Postconcussion Symptoms Questionnaire (RPQ) and evaluate its longitudinal and group variance. Factor structures were developed and compared in 1,011 patients with mild traumatic brain injury (mTBI; i.e., Glasgow Coma Scale score 13-15) from the Transforming Research and Clinical Knowledge in TBI study, using RPQ data collected at 2 weeks, and 3, 6, and 12 months postinjury. A bifactor model specifying a general factor and emotional, cognitive, and visual symptom factors best represented the latent structure of the RPQ. The model evinced strict measurement invariance over time and across sex, age, race, psychiatric history, and mTBI severity groups, indicating that differences in symptom endorsement were completely accounted for by these latent dimensions. While highly unidimensional, the RPQ has multidimensional features observable through a bifactor model, which may help differentiate symptom expression patterns in the future.

Latent variable modeling of item-based factor scales: Comment on Triarchic or septarchic?-Uncovering the Triarchic Psychopathy Measure's (TriPM) Structure, by Roy et al.

We critique Roy et al.'s (2020; this issue) approach to characterizing the item-level factor structure of the three scales of the Triarchic Psychopathy Measure (TriPM), in light of the manner in which the TriPM scales were developed, the purposes they were designed to serve, and the growing body of evidence supporting their construct validity. We focus on three major points: (1) The TriPM scales are item-based factor scales - i.e., item sets designed to index broad factors of larger multi-scale (parent) inventories; (2) item-level structural analysis can be useful for representing broad dimensions tapped by such scales, but it cannot be expected to provide an accurate picture of narrower subdimensions (facets) assessed by their parent inventories; and (3) it is critical to consider the nomological networks of the TriPM scales (and other triarchic scale measures) in appraising their effectiveness as operationalizations of the triarchic model constructs. We illustrate the first and second of these points by applying Roy et al.'s analytic approach to the trait scales of the NEO-FFI, which were developed to index broad personality dimensions of the multi-scale NEO-PI-R. We address the third point with reference to the growing body of literature supporting the construct validity of the TriPM scales and demonstrating their utility for advancing an integrative understanding of psychopathy. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Bifactor Model of the Sport Concussion Assessment Tool Symptom Checklist: Replication and Invariance Across Time in the CARE Consortium Sample.

BACKGROUND: Identifying separate dimensions of concussion symptoms may inform a precision medicine approach to treatment. It was previously reported that a bifactor model identified distinct acute postconcussion symptom dimensions. PURPOSE: To replicate previous findings of a bifactor structure of concussion symptoms in the Concussion Assessment Research and Education (CARE) Consortium sample, examine measurement invariance from pre- to postinjury, and evaluate whether factors are associated with other clinical and biomarker measures. STUDY DESIGN: Cohort study (Diagnosis); Level of evidence, 2. METHODS: Collegiate athletes were prospectively evaluated using the Sport Concussion Assessment Tool-3 (SCAT-3) during preseason (N = 31,557); 2789 were followed at <6 hours and 24 to 48 hours after concussion. Item-level SCAT-3 ratings were analyzed using exploratory and confirmatory factor analyses. Bifactor and higher-order models were compared for their fit and interpretability. Measurement invariance tested the stability of the identified factor structure across time. The association between factors and criterion measures (clinical and blood-based markers of concussion severity, symptom duration) was evaluated. RESULTS: The optimal structure for each time point was a 7-factor bifactor model: a General factor, on which all items loaded, and 6 specific factors-Vestibulo-ocular, Headache, Sensory, Fatigue, Cognitive, and Emotional. The model manifested strict invariance across the 2 postinjury time points but only configural invariance from baseline to postinjury. From <6 to 24-48 hours, some dimensions increased in severity (Sensory, Fatigue, Emotional), while others decreased (General, Headache, Vestibulo-ocular). The factors correlated with differing clinical and biomarker criterion measures and showed differing patterns of association with symptom duration at different time points. CONCLUSION: Bifactor modeling supported the predominant unidimensionality of concussion symptoms while revealing multidimensional properties, including a large dominant General factor and 6 independent factors: Headache, Vestibulo-ocular, Sensory, Cognitive, Fatigue, and Emotional. Unlike the widely used SCAT-3 symptom severity score, which declines gradually after injury, the bifactor model revealed separable symptom dimensions that have distinct trajectories in the acute postinjury period and different patterns of association with other markers of injury severity and outcome. CLINICAL RELEVANCE: The SCAT-3 total score remains a valuable, robust index of overall concussion symptom severity, and the specific factors identified may inform management strategies. Because some symptom dimensions continue to worsen in the first 24 to 48 hours after injury (ie, Sensory, Fatigue, Emotional), routine follow-up in this time frame may be valuable to ensure that symptoms are managed effectively.

Predicting Child-to-Adult Community Mental Health Service Continuation.

Serious mental health conditions peak in prevalence and incidence during the transition to adulthood (approximately ages 16-25). Young adults are at high risk for discontinuation of care when no longer eligible for child mental health services. This study uses state administrative data to examine service continuation among those aging out of child system services in Texas (N = 3135). Most (63.5%) did not enroll in adult services following their 18th birthday. Binary logistic regression analyses found that significant predictors of child-to-adult service continuation included (1) a serious primary mental health diagnosis (i.e., schizophrenia, bipolar disorder, major depressive disorder), (2) risks to self and others, and (3) number of prior-year mental health services received. These findings suggest that historical mental health policies and practices may contribute to service disconnection at age 18 in Texas. Implications for mental health policy and system reform locally and nationally are discussed.

Quantifying Dispositional Fear as Threat Sensitivity: Development and Initial Validation of a Model-Based Scale Measure.

The Research Domain Criteria initiative aims to reorient the focus of psychopathology research toward biobehavioral constructs that cut across different modalities of measurement, including self-report and neurophysiology. Constructs within the Research Domain Criteria framework are intentionally transdiagnostic, with the construct of "acute threat," for example, broadly relevant to clinical problems and associated traits involving fearfulness and stress reactivity. A potentially valuable referent for research on the construct of acute threat is a structural model of fear/fearlessness questionnaires known to predict variations in physiological threat reactivity as indexed by startle potentiation. The aim of the current work was to develop an efficient, item-based scale measure of the general factor of this structural model for use in studies of dispositional threat sensitivity and its relationship to psychopathology. A self-report scale consisting of 44 items from a conceptually relevant, nonproprietary questionnaire was first developed in a sample of 1,307 student participants, using the general factor of the fear/fearlessness model as a direct referent. This new Trait Fear scale was then evaluated for convergent and discriminant validity with measures of personality and psychopathology in a separate sample (n = 213) consisting of community adults and undergraduate students. The strong performance of the scale in this criterion-validation sample suggests that it can provide an effective means for indexing variations along a dispositional continuum of fearfulness reflecting variations in sensitivity to acute threat.

Formulation of a measurement model for the boldness construct of psychopathy.

We describe efforts to formulate a quantitative measurement model for boldness, a construct that has been intensively discussed and investigated in the psychopathy literature in recent years. Although the Fearless Dominance factor of the Psychopathic Personality Inventory (PPI-FD) has served as a major referent for studying this dispositional construct, boldness was not explicitly targeted in developing the PPI, creating the need for a formal measurement model for this construct. Using an exploratory approach to test construction and multiple waves of data collection and analysis involving 1,791 participants, we created nine unidimensional scales (comprising a total of 130 items) for assessing correlated but thematically distinct facets of boldness, and characterized their higher-order structure. Overall scores on this new Boldness Inventory correlated highly with PPI-FD (positively) and dispositional fear (negatively), and negligibly with disinhibitory proclivities, in validation samples consisting of undergraduates (N = 767) and male prisoners (N = 326). The structural model of this new inventory, encompassing a general factor on which all facet scales loaded and two subordinate factors defined by residual variances of certain scales, effectively accommodated the constituent scales of PPI-FD. The model development work reported here establishes a valuable foundation for further, more fine-grained investigation of boldness as it relates to psychopathy and other clinical conditions as well as to adaptive functioning and performance. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Modeling the Structure of Acute Sport-Related Concussion Symptoms: A Bifactor Approach.

OBJECTIVES: Concussions cause diverse symptoms that are often measured through a single symptom severity score. Researchers have postulated distinct dimensions of concussion symptoms, raising the possibility that total scores may not accurately represent their multidimensional nature. This study examined to what degree concussion symptoms, assessed by the Sport Concussion Assessment Tool 3 (SCAT3), reflect a unidimensional versus multidimensional construct to inform how the SCAT3 should be scored and advance efforts to identify distinct phenotypes of concussion. METHODS: Data were aggregated across two prospective studies of sport-related concussion, yielding 219 high school and college athletes in the acute (<48 hr) post-injury period. Item-level ratings on the SCAT3 checklist were analyzed through exploratory and confirmatory factor analyses. We specified higher-order and bifactor models and compared their fit, interpretability, and external correlates. RESULTS: The best-fitting model was a five-factor bifactor model that included a general factor on which all items loaded and four specific factors reflecting emotional symptoms, torpor, sensory sensitivities, and headache symptoms. The bifactor model demonstrated better discriminant validity than the counterpart higher-order model, in which the factors were highly correlated (r=.55-.91). CONCLUSIONS: The SCAT3 contains items that appear unidimensional, suggesting that it is appropriate to quantify concussion symptoms with total scores. However, evidence of multidimensionality was revealed using bifactor modeling. Additional work is needed to clarify the nature of factors identified by this model, explicate their clinical and research utility, and determine to what degree the model applies to other stages of injury recovery and patient subgroups. (JINS, 2018, 24, 793-804).

Do screening and a randomized brief intervention at a Level 1 trauma center impact acute stress reactions to prevent later development of posttraumatic stress disorder?

BACKGROUND: Approximately 20% to 40% of trauma survivors experience posttraumatic stress disorder (PTSD). The American College of Surgeons Committee on Trauma reports that early screening and referral has the potential to improve outcomes and that further study of screening and intervention for PTSD would be beneficial. This prospective randomized study screened hospitalized patients for traumatic stress reactions and assessed the effect of a brief intervention in reducing later development of PTSD. METHODS: The Primary Care PTSD (PC-PTSD) screen was administered to admitted patients. Patients with symptoms were randomized to an intervention or control group. The brief intervention focused on symptom education and normalization, coping strategies, and utilizing supports. The control group received a 3-minute educational brochure review. Both groups completed in-hospital interviews, then 45- and 90-day telephone interviews. Follow-up collected the PTSD checklist-civilian (PCL-C) assessment and qualitative data on treatment-seeking barriers. RESULTS: The PC-PTSD screen was successful in predicting later PTSD symptoms at both 45 days (ß = 0.43, p < 0.001) and 90 days (ß = 0.37, p < 0.001) even after accounting for depression. Correlations of the intervention with the PCL-C scores and factor score estimates did not reach statistical significance at either time point (p = 0.827; p = 0.838), indicating that the brief intervention did not decrease PTSD symptoms over time. Of those at or above the PCL-C cutoff at follow-ups, a minority had sought treatment for their symptoms (43.2%). Primary barriers included focusing on their injury or ongoing rehabilitation, financial concerns, or location of residence. CONCLUSION: The PC-PTSD screen identified patients who later assess positive for PTSD using the PCL-C. The brief intervention did not reduce 45- and 90-day PTSD development. Follow-up interviews revealed lack of treatment infrastructure in the community. It will be important for trauma centers to align with community resources to address the treatment needs of at-risk patients. LEVEL OF EVIDENCE: Prospective randomized controlled trial, level II.

At-home partner sleep functioning over the course of military deployment.

Although the negative effects of deployment on the health of military spouses have been studied, research on sleep disruptions remains limited. This study investigates trajectories of sleep complaints over the course of deployment and predictors of these changes among a cohort of at-home partners. Data were drawn from the Readiness and Resilience in National Guard Soldiers (RINGS-2) project, a prospective, longitudinal study of National Guard soldiers deployed to Iraq/Kuwait (2011-2012) and their intimate partners. Spouses or cohabiting partners (N = 686) of soldiers completed assessments of risk/protective factors 2 to 5 months before their partners' deployment (Time 1), 4 months (Time 2) and 8 months (Time 3) into the deployment, and 2 to 3 months following the soldiers' return (Time 4). Latent class growth analyses (LCGA) revealed quadratic change in partners' sleep over the deployment cycle, characterized by 4 distinct trajectories: resilient (61%), deployment-onset sleep problems (22%), deployment improvement (10%), and chronic (7%) groups. Predeployment and during deployment predictors of partners' sleep complaints varied by group and included negative emotionality, depression symptoms, alcohol use, low negative communication, and family stressors. Understanding the course of sleep complaints and potentially modifiable risk-factors among at-home partners during deployment may be useful for prevention and targeted intervention efforts. (PsycINFO Database Record

Resilience and Posttraumatic Stress Disorder Symptoms in National Guard Soldiers Deployed to Iraq: A Prospective Study of Latent Class Trajectories and Their Predictors.

This study examined the prospective course of posttraumatic stress disorder (PTSD) symptoms in a cohort of National Guard soldiers (N = 522) deployed to combat operations in Iraq. Participants were assessed 4 times: 1 month before deployment, 2-3 months after returning from deployment, 1 year later, and 2 years postdeployment. Growth mixture modeling revealed 3 distinct trajectories: low-stable symptoms, resilient, 76.4%; new-onset symptoms, 14.2%; and chronic distress, 9.4%. Relative to the resilient class, membership in both the new-onset symptoms and chronic distress trajectory classes was predicted by negative emotionality/neuroticism, odds ratios (ORs) = 1.09, 95% CI [1.02, 1.17], and OR = 1.22, 95% CI [1.09,1.35], respectively; and combat exposure, OR = 1.07, 95% CI [1.02, 1.12], and OR = 1.12, 95% CI [1.02, 1.24], respectively. Membership in the new-onset trajectory class was predicted by predeployment military preparedness, OR = 0.95, 95% CI [0.91, 0.98], perceived threat during deployment, OR = 1.07, 95% CI [1.03, 1.10], and stressful life events following deployment, OR = 1.44, 95% CI [1.05, 1.96]. Prior deployment to Iraq or Afghanistan, OR = 3.85, 95% CI [1.72, 8.69], predeployment depression, OR = 1.27, 95% CI [1.20, 1.36], and predeployment concerns about a deployment's impact on civilian/family life, OR = 1.09, 95% CI [1.02, 1.16], distinguished the chronic distress group relative to the resilient group. Identifying predeployment vulnerability and postdeployment contextual factors provides insight for future efforts to bolster resilience, prevent, and treat posttraumatic symptoms.

Predictors of Postdeployment Functioning in Combat-Exposed U.S. Military Veterans.

Posttraumatic stress disorder (PTSD) and sequelae of mild traumatic brain injury (mTBI) are presumed to contribute to reintegration difficulties in combat-exposed veterans. Yet their relative impacts on postdeployment functioning are not well understood. The current study used structural equation modeling (SEM) to clarify the extent to which symptoms of internalizing disorders (e.g., depression, anxiety), mTBI symptoms, and cognitive performance are associated with functional impairment in 295 combat-exposed veterans. SEM results showed that internalizing symptoms most significantly predicted functional impairment (r = 0.72). Blast mTBI and cognitive performance were associated with internalizing (r = 0.24 and -0.25, respectively), but functional impairment was only modestly related to cognition (r = -0.17) and unrelated to mTBI. These results indicate that internalizing symptoms are the strongest predictor of functioning in trauma-exposed veterans, exceeding the effects of mTBI and cognitive performance. This evidence supports prioritizing interventions that target internalizing psychopathology to improve functioning in cases of co-occurring PTSD and mTBI.

Evidence of a prominent genetic basis for associations between psychoneurometric traits and common mental disorders.

Threat sensitivity (THT) and weak inhibitory control (or disinhibition; DIS) are trait constructs that relate to multiple types of psychopathology and can be assessed psychoneurometrically (i.e., using self-report and physiological indicators combined). However, to establish that psychoneurometric assessments of THT and DIS index biologically-based liabilities, it is important to clarify the etiologic bases of these variables and their associations with clinical problems. The current work addressed this important issue using data from a sample of identical and fraternal adult twins (N=454). THT was quantified using a scale measure and three physiological indicators of emotional reactivity to visual aversive stimuli. DIS was operationalized using scores on two scale measures combined with two brain indicators from cognitive processing tasks. THT and DIS operationalized in these ways both showed appreciable heritability (0.45, 0.68), and genetic variance in these traits accounted for most of their phenotypic associations with fear, distress, and substance use disorder symptoms. Our findings suggest that, as indices of basic dispositional liabilities for multiple forms of psychopathology with direct links to neurophysiology, psychoneurometric assessments of THT and DIS represent novel and important targets for biologically-oriented research on psychopathology.

Efficiently measuring dimensions of the externalizing spectrum model: Development of the Externalizing Spectrum Inventory-Computerized Adaptive Test (ESI-CAT).

The development of the Externalizing Spectrum Inventory (ESI) was motivated by the need to comprehensively assess the interrelated nature of externalizing psychopathology and personality using an empirically driven framework. The ESI measures 23 theoretically distinct yet related unidimensional facets of externalizing, which are structured under 3 superordinate factors representing general externalizing, callous aggression, and substance abuse. One limitation of the ESI is its length at 415 items. To facilitate the use of the ESI in busy clinical and research settings, the current study sought to examine the efficiency and accuracy of a computerized adaptive version of the ESI. Data were collected over 3 waves and totaled 1,787 participants recruited from undergraduate psychology courses as well as male and female state prisons. A series of 6 algorithms with different termination rules were simulated to determine the efficiency and accuracy of each test under 3 different assumed distributions. Scores generated using an optimal adaptive algorithm evidenced high correlations (r > .9) with scores generated using the full ESI, brief ESI item-based factor scales, and the 23 facet scales. The adaptive algorithms for each facet administered a combined average of 115 items, a 72% decrease in comparison to the full ESI. Similarly, scores on the item-based factor scales of the ESI-brief form (57 items) were generated using on average of 17 items, a 70% decrease. The current study successfully demonstrates that an adaptive algorithm can generate similar scores for the ESI and the 3 item-based factor scales using a fraction of the total item pool. (PsycINFO Database Record

Using reinforcement sensitivity to understand longitudinal links between PTSD and relationship adjustment.

There is limited research testing longitudinal models of how posttraumatic stress disorder (PTSD) severity leads to impaired relationship adjustment. The present study evaluated 2 potential mechanisms among a longitudinal sample of National Guard soldiers deployed to the Iraq War: (1) sensitivity to cues associated with punishment within intimate relationships and (2) sensitivity to cues associated with incentives in intimate relationships. Participants were surveyed by mail 1 year after an extended 16-month combat deployment and again 2 years later. Using a cross-lagged panel analysis with 2 mediators (relationship-specific threat and incentive sensitivity), findings indicated Time 1 PTSD symptom severity significantly eroded relationship adjustment over time through greater sensitivity to cues of relationship-related punishment, but not through incentive sensitivity. Additionally, findings indicated sensitivity to cues of relationship-related threats maintains symptoms of PTSD while sensitivity to cues of relationship-related incentives maintains relationship adjustment. Finally, PTSD symptoms significantly predicted erosion of relationship adjustment over time; however, associations from relationship adjustment to changes in PTSD severity over time were nonsignificant. Findings are discussed within the context of reinforcement sensitivity theory and emotional processing theory of PTSD. (PsycINFO Database Record

Social Causation Versus Social Erosion: Comparisons of Causal Models for Relations Between Support and PTSD Symptoms.

Social support is a robust correlate of posttraumatic stress disorder (PTSD) symptoms and of general psychological distress (Ozer, Best, Lipsey, & Weiss, 2003). The nature of the causal relationship between support and PTSD remains the subject of debate, with 2 models, social erosion and social causation, often used to explain findings. Despite extensive research using these models, no studies of which we are aware have included tests of both models within the same series of analyses, across more than 2 time points, in veterans. These competing models were tested in a sample of National Guard soldiers (N = 521) who completed measures of perceived social support and the PTSD Checklist-Military version (Weathers, Litz, Herman, Huska, & Keane, 1993) at 3 months, 15 months, and 27 months following a combat deployment to Iraq. Analyses were run separately for overall PTSD symptoms and the PTSD components of intrusion, trauma-avoidance, dysphoria, and hyperarousal. Both the social erosion (ßs ranging from -.10 to -.19) and social causation (ßs ranging from -.08 to -.13) hypotheses were supported. Results suggested PTSD-specific symptom dimensions may both erode and be influenced by social support, whereas general psychological distress erodes social support. Implications for clinical intervention and research are discussed.