Accuracy, Acceptability, and Burden of an Integrated Screening Approach to Facilitate the Delivery of Tailored Sexual Assault Prevention in the U.S. Air Force.

This paper examines accuracy, acceptability, and respondent burden of integrated screening to facilitate tailored sexual assault (SA) prevention program delivery in a basic military training (BMT) environment. Trainees (n = 5,951) received tailored prevention content based on self-reported sex, sexual orientation, prior SA victimization and perpetration, and past-month post-traumatic stress symptoms. Bivariate analyses examined trainee-reported screener accuracy, acceptability, and burden, including differences by tailoring-targeted subgroups (e.g. men/women). Overall accuracy and acceptability were high (>90%) despite significant subgroup variability. Screening time averaged 10.55 (SD = 1.95) minutes; individuals with prior SA took longer. Missingness increased linearly throughout the screener. Integrated screening is an accurate, acceptable way to deploy tailored SA prevention in BMT. Findings inform data-driven screening improvements and novel applications.

Biofeedback-Assisted Resilience Training for Traumatic and Operational Stress: Preliminary Analysis of a Self-Delivered Digital Health Methodology.

BACKGROUND: Psychological resilience is critical to minimize the health effects of traumatic events. Trauma may induce a chronic state of hyperarousal, resulting in problems such as anxiety, insomnia, or posttraumatic stress disorder. Mind-body practices, such as relaxation breathing and mindfulness meditation, help to reduce arousal and may reduce the likelihood of such psychological distress. To better understand resilience-building practices, we are conducting the Biofeedback-Assisted Resilience Training (BART) study to evaluate whether the practice of slow, paced breathing with or without heart rate variability biofeedback can be effectively learned via a smartphone app to enhance psychological resilience. OBJECTIVE: Our objective was to conduct a limited, interim review of user interactions and study data on use of the BART resilience training app and demonstrate analyses of real-time sensor-streaming data. METHODS: We developed the BART app to provide paced breathing resilience training, with or without heart rate variability biofeedback, via a self-managed 6-week protocol. The app receives streaming data from a Bluetooth-linked heart rate sensor and displays heart rate variability biofeedback to indicate movement between calmer and stressful states. To evaluate the app, a population of military personnel, veterans, and civilian first responders used the app for 6 weeks of resilience training. We analyzed app usage and heart rate variability measures during rest, cognitive stress, and paced breathing. Currently released for the BART research study, the BART app is being used to collect self-reported survey and heart rate sensor data for comparative evaluation of paced breathing relaxation training with and without heart rate variability biofeedback. RESULTS: To date, we have analyzed the results of 328 participants who began using the BART app for 6 weeks of stress relaxation training via a self-managed protocol. Of these, 207 (63.1%) followed the app-directed procedures and completed the training regimen. Our review of adherence to protocol and app-calculated heart rate variability measures indicated that the BART app acquired high-quality data for evaluating self-managed stress relaxation training programs. CONCLUSIONS: The BART app acquired high-quality data for studying changes in psychophysiological stress according to mind-body activity states, including conditions of rest, cognitive stress, and slow, paced breathing.

Predictors of Posttraumatic Stress Disorder, Anxiety Disorders, Depressive Disorders, and Any Mental Health Condition Among U.S. Soldiers and Marines, 2001-2011.

Understanding mental health disorder diagnosis and treatment seeking among active-duty military personnel is a topic with both clinical and policy implications. It has been well documented in military populations that individual-level military experience, including deployment history and combat exposure, influences mental health outcomes, but the impact of unit-level factors is less well understood. In the current study, we used administrative longitudinal data to examine a comprehensive set of unit- and individual-level predictors of posttraumatic stress disorder (PTSD), non-PTSD anxiety disorders, depressive disorders, and overall mental health diagnoses among Army and Marines Corps personnel. Using Cox survival models for time-dependent variables, we analyzed time from military accession (between January 1, 2001 and December 31, 2011) until first mental health diagnosis for 773,359 soldiers and 332,093 Marines. Prior diagnosis of a substance abuse disorder during one's military career, hazard ratios (HRs) = 1.68-3.10, and cumulative time spent deployed, HRs = 1.11-2.04, were the most predictive risk factors for all outcomes. Male sex, HRs = 0.35-0.57, and officer rank, HRs = 0.13-0.23, were the most protective factors. Unit-level rate of high deployment stress was a small but significant predictor of all outcomes after controlling for individual-level deployment history and other predictors, HRs = 1.01-1.05. Findings suggest both unit- and individual-level risk and protective factors of mental health diagnoses associated with treatment seeking. Clinical, including mental health assessment and management, and policy implications related to the military environment and the individual as it relates to mental health disorders are discussed.

Workplace victimization risk and protective factors for suicidal behavior among active duty military personnel.

BACKGROUND: Workplace victimization is a potential risk factor for suicidal behaviors (SB) among military personnel that has been largely overlooked. This paper examines both the impact of workplace victimization on reported SB and several potential protective factors associated with such suicidal behaviors in a large sample of active duty soldiers. METHODS: A case-control study was conducted with 71 soldiers who reported SB in the past 12 months, each matched on sociodemographic characteristics to two others without reported suicidal behaviors. A multiple regression model was estimated to assess the effects of risk and protective factors while controlling for other variables. RESULTS: SB was associated with several aspects of victimization, mental health and substance abuse conditions, pain, impulsivity, stressors, negative life events, work-family conflict, active coping behaviors and positive military-related factors. Controlling for other variables, those with SB were more likely to have sought mental health or substance abuse services, to be depressed, anxious, impulsive, and less resilient than non-SB personnel. LIMITATIONS: Study limitations included the use of retrospective self-report data, absence of some known SB predictors, and a population restricted to active duty Army personnel. CONCLUSIONS: SB among active duty personnel is associated with victimization since joining the military and is protected by resiliency. These findings suggest that in addition to the usual mental health factors, these additional predictors should be accounted for in SB intervention and prevention planning for active duty personnel.

Posttraumatic Stress Disorder in U.S. Military Primary Care: Trajectories and Predictors of One-Year Prognosis.

We examined the longitudinal course of primary care patients in the active duty Army with posttraumatic stress disorder (PTSD) and identified prognostic indicators of PTSD severity. Data were drawn from a 6-site randomized trial of collaborative primary care for PTSD and dpression in the military. Subjects were 474 soldiers with PTSD (scores ≥ 50 on the PTSD Checklist -Civilian Version). Four assessments were completed at U.S. Army installations: baseline, and follow-ups at 3 months (92.8% response rate [RR]), 6 months (90.1% RR), and 12 months (87.1% RR). Combat exposure and 7 validated indicators of baseline clinical status (alcohol misuse, depression, pain, somatic symptoms, low mental health functioning, low physical health functioning, mild traumatic brain injury) were used to predict PTSD symptom severity on the Posttraumatic Diagnostic Scale (Cronbach's α = .87, .92, .95, .95, at assessments 1-4, respectively). Growth mixture modeling identified 2 PTSD symptom trajectories: subjects reporting persistent symptoms (Persisters, 81.9%, n = 388), and subjects reporting improved symptoms (Improvers 18.1%, n = 86). Logistic regression modeling examined baseline predictors of symptom trajectories, adjusting for demographics, installation, and treatment condition. Subjects who reported moderate combat exposure, adjusted odds ratio (OR) = 0.44, 95% CI [0.20, 0.98], or who reported high exposure, OR = 0.39, 95% CI [0.17, 0.87], were less likely to be Improvers. Other baseline clinical problems were not related to symptom trajectories. Findings suggested that most military primary care patients with PTSD experience persistent symptoms, highlighting the importance of improving the effectiveness of their care. Most indicators of clinical status offered little prognostic information beyond the brief assessment of combat exposure.