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Background Depression is a common debilitating psychiatric disorder that is associated with high rates of mortality and morbidity and is a risk factor for type 2 diabetes and cardiovascular disease. Previous studies have shown that an increasing number of veterans have reported mental health or cognitive problems, with 19.5-22.8% reporting traumatic brain injury and 24.4% reporting Post Traumatic Stress Disorder. However, there are only limited studies reporting the trends of depression among U.S. veterans. Therefore, the aim of this study was to evaluate the prevalence and trend of depression among U.S. veterans. Methods Data used were from six biennial surveys of the National Health and Nutrition Examination Survey. The status of depression was screened using the Patient Health Questionnaire (PHQ-9). The weighted prevalence and its 95% confidence interval were calculated. Rao-Scott chi-square test measured bivariate association of depression and each exploratory variable. Cochran-Armitage trend test assessed depression prevalence trends. All analyses were performed with SAS 9.4 (SAS Institute, Inc). Results Between 2005 and 2016, 16.3% of veterans spent more than half of the days feeling tired or having little energy. Over 15.0% of veterans also reported having trouble sleeping more than half of the days in the past two weeks. The overall prevalence of depression among veterans peaked in 2011-2012 with 12.3% of veterans scoring 10 or greater on the PHQ-9. Among female veterans, there is a general increasing prevalence of depression, escalating from 9.0% in the 2007-2008 cycle to 14.8% in the 2015-2016 cycle. White veterans consistently had a higher prevalence of depression when compared to Black and Hispanic veterans. Conclusion Depression disparities existed in U.S. veterans and an increasing trend in prevalence were observed. Further research is needed to assess veterans that seek care outside of Veterans Affairs hospitals, as NHANES data only assess institutionalized individuals.

The United States Air Force (USAF) has increasing needs for unmanned aerial vehicle (UAV) operators. Automation may enable a single operator to manage multiple UAVs at the same time. Multi-UAV operation may require a unique set of skills and the need for new operators calls for targeting new populations for recruitment. The objective of this research is to develop a simulation environment for studying the role of individual differences in UAV operation under different task configurations and investigate predictors of performance and stress. Primarily, the study examined the impact of levels of automation (LOAs), as well as task demands, on task performance, stress and operator reliance on automation. Two intermediate LOAs were employed for two surveillance tasks included in the simulation of UAV operation. Task demand was manipulated via the high and low frequency of events associated with additional tasks included in the simulation. The task demand and LOA manipulations influenced task performance generally as expected. The task demand manipulations elicited higher subjective distress and workload. LOAs did not affect operator workload but affected reliance behavior. Also, this study examined the role of individual differences in simulated UAV operation. A variety of individual difference factors were associated with task performance and with subjective stress response. Video gaming experience was linked to lower distress and better performance, suggesting possible transfer of skills. Some gender differences were revealed in stress response, task performance, but all the gender effects became insignificant with gaming experience controlled. Generally, the effects of personality were consistent with previous studies, except some novel findings with the performance metrics. Additionally, task demand was found to moderate the influence of personality factors on stress response and performance metrics. Specifically, conscientiousness was associated with higher subjective engagement and performance when demands were higher. This study supports future research which aims to improve the dynamic interfaces in UAV operation, optimize operator reliance on automation, and identify individuals with the highest aptitude for multi-UAV control.

Improvised Explosive Devices (IEDs) are the greatest casualty producing and costly weapon system employed by the enemy on the asymmetric battlefield of today. Despite Billions of dollars spent on technological devices to counter the IED threat, IEDs are still responsible for roughly 50% of battlefield casualties. A tremendous amount of effort and resource has and continues to be levied in the pursuit of a technological solution to the IED problem. By contrast, little research has been done on Counter Improvised Explosive Device (CIED) procedures. This paper explores the potential of CIED procedures as a casualty reduction mechanism by comparing two observed tactical procedures used in patrolling convoy routes.

Operational Adaptability is a vital characteristic identified by senior Army leaders in today's military force. The U.S. Army is struggling with the definition and training of operational adaptability at the tactical level. In order to be a critical enhancement to the operational mission, operational adaptability needs to be trained through a training model that supports current U.S. Army doctrine. To develop a base foundation of operational adaptability, Soldiers must train as a collective unit in a simulated operational environment in order to apply characteristics of operational adaptability.

The military has used simulations to train Soldiers for several decades. Army Commanders use live, virtual and constructive training to prepare troops for combat and to improve their Military Occupational Specialty (MOS) skillset. During training and other military operations, the Army Battle Command Systems (ABCS) provide Army commanders with a Common Operational Picture (COP) which typically includes a real-time status of personnel, supplies, munitions, and equipment. In 2016, the Combined Arms Support Command (CASCOM) divested the Battle Command Sustainment Support System (BCS3) due to data latency issues. The sustainment Warfighting Function (WfF) used BCS3 as a dual-purpose system for real world operations and constructive simulation training events. The same year, the Army also streamlined its Joint Land Component Constructive Training Capability (JLCCTC) to reduce costs further limiting the usefulness of JLCCTC to train sustainment units. This study considers the suitability of the Division Exercise Training and Review System (DXTRS) to fill the sustainment training gap. A combination of face to face and telephonic interviews are conducted with Soldiers and select Department of Defense (DoD) contractors to determine the appropriateness of DXTRS for sustainment training. Interview questions designed using the Technology Acceptance Model (TAM) are used to measure DXTRS version 1.06 suitability as a sustainment training tool. Inductive thematic content analysis is used to analyze the interview transcripts and provide findings, conclusions, and recommend future research.

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