To Örebro University

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.

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 ( = 0.43, p < 0.001) and 90 days ( = 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.

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, inter-pretability, 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.

Background: Can core genetic liabilities for suicidal behavior be indexed using psychological and neural indicators combined? The current work addressed this question by examining phenotypic and genetic associations of two biobehavioral traits, threat sensitivity (THT) and disinhibition (DIS) - operationalized as psychoneurometric variables (i.e., composites of psychological-scale and neurophysiological measures) - with suicidal behaviors in a sample of adult twins.

Methods: Participants were 444 identical and fraternal twins recruited from an urban community. THT was assessed using a psychological-scale measure of fear/fearlessness combined with physiological indicators of reactivity to aversive pictures, and DIS was assessed using scale measures of disinhibitory tendencies combined with indicators of brain response from lab performance tasks. Suicidality was assessed using items from structured interview and questionnaire protocols.

Results: THT and DIS each contributed uniquely to prediction of suicidality when assessed psychoneurometrically (i.e., as composites of scale and neurophysiological indicators). In addition, these traits predicted suicidality interactively, with participants high on both reporting the greatest degree of suicidal behaviors. Biometric (twin-modeling) analyses revealed that a high percentage of the predictive association for each psychoneurometric trait (83% for THT, 68% for DIS) was attributable to genetic variance in common with suicidality.

Conclusions: Findings indicate that psychoneurometric assessments of biobehavioral traits index genetic liability for suicidal behavior, and as such, can serve as innovative targets for research on core biological processes contributing to severe psychopathology, including suicidal proclivities and actions.

Objective: Spouse/partners of military personnel demonstrate elevated levels of distress during military deployments, yet there is insufficient information about courses of adjustment over time. The current study identified trajectories of depression and alcohol use problems and predictors of those trajectories across the deployment cycle.

Method: National Guard soldiers (N = 1973) and spouses/intimate partners (N = 1020) completed assessments of risk/protective factors and baseline measures of mental health functioning 2 to 5 months prior to soldiers' 1-year deployments (Time 1) to Kuwait/Iraq in support of Operation New Dawn or Afghanistan in support of Operation Enduring Freedom. Partners' mental health was reassessed at 4 months (Time 2) and 8 months (Time 3) after soldiers deployed, and both spouses/partners and soldiers were reassessed 2-3 months postdeployment (Time 4).

Results: Latent class growth modeling of partner depression symptoms over time revealed 4 groups: Resilience (79.9%), Deployment Distress (8.9%), Anticipatory Distress (8.4%), and Post-Deployment Distress (2.7%). Three alcohol misuse trajectories were identified: Resilience (91.3%), Deployment Onset (5.4%), and Deployment Desistance (3.3%). Predeployment predictors of partners' depression symptom trajectories varied by group and included soldier reports of stressors and social support and partner levels of neuroticism, introversion, disconstraint, and reported stressors. Predeployment predictors of alcohol misuse trajectories varied by group, and included soldier levels of alcohol misuse as well as partner neuroticism, disconstraint, and family readiness.

Conclusions: Delineating and predicting trajectories of partner adjustment can allow for better targeted interventions toward those most at risk for heightened distress or alcohol problems over the deployment cycle.

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.

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.