Risk factors for accident death in the U.S. Army, 2004-2009

Divergent trends in accidental deaths since return from an Afghanistan/Iraq deployment among army soldiers

PURPOSE

Accidental death is a leading cause of mortality among military members and Veterans; however, knowledge is limited regarding time-dependent risk following deployment and if there are differences by type of accidental death.

METHODS

Longitudinal cohort study (N = 860,930) of soldiers returning from Afghanistan/Iraq deployments in fiscal years 2008-2014. Accidental deaths (i.e., motor vehicle accidents [MVA], accidental overdose, other accidental deaths), were identified through 2018. Crude and age-adjusted mortality rates, rate ratios, time-dependent hazard rates and trends postdeployment were compared across demographic and military characteristics.

RESULTS

During the postdeployment observation period, over one-third of deaths were accidental; most were MVA (46.0 %) or overdoses (37.9 %). Across accidental mortality categories (all, MVA, overdose), younger soldiers (18-24, 25-29) were at higher risk compared to older soldiers (40+), and females at lower risk than males. MVA death rates were highest immediately postdeployment, with a significant decreasing hazard rate over time (annual percent change [APC]: -6.5 %). Conversely, accidental overdose death rates were lowest immediately following deployment, with a significant increasing hazard rate over time (APC: 9.9 %).

CONCLUSIONS

Observed divergent trends in risk for the most common types of accidental deaths provide essential information to inform prevention and intervention planning for the immediate postdeployment transition and long-term.

A Study of Brain Function Characteristics of Service Members at High Risk for Accidents in the Military

Military accidents are often associated with stress and depressive psychological conditions among soldiers, and they often fail to adapt to military life. Therefore, this study analyzes whether there are differences in EEG and pulse wave indices between general soldiers and three groups of soldiers who have not adapted to military life and are at risk of accidents. Data collection was carried out using a questionnaire and a device that can measure EEG and pulse waves, and data analysis was performed using SPSS. The results showed that the concentration level and brain activity indices were higher in the general soldiers and the soldiers in the first stage of accident risk. The body stress index was higher for each stage of accident risk, and the physical vitality index was higher for general soldiers. Therefore, it can be seen that soldiers who have not adapted to military life and are at risk of accidents have somewhat lower concentration and brain activity than general soldiers, and have symptoms of stress and lethargy. The results of this study will contribute to reducing human accidents through EEG and pulse wave measurements not only in the military but also in occupations with a high risk of accidents such as construction.

Body Mass Index Effect on Health Service Utilization Among Active Duty Male United States Army Soldiers

INTRODUCTION

Obesity and overweight, defined as body mass index (BMI) of 30.0 and above or 25.0-29.9, respectively, are of significant concern to the military population, due to their associated comorbidities and potential for impaired readiness. In 2016, the US Army reported a prevalence of 17.3% obesity and 52.9% overweight among soldiers, despite both physical demands of the job and Department of Defense (DoD) guidelines which recommend separation from service for those unable to meet body composition standards. This study examines the health service utilization of active duty, male Army soldiers in order to determine the prevalence of obesity and overweight and to estimate the effects of these conditions on readiness.

MATERIALS AND METHODS

This was a cross-sectional study utilizing fiscal year (FY) 2015 TRICARE claims and military treatment facility (MTF) encounter data obtained from the Military Health System Data Repository (MDR), for 467,732 US Army male Soldiers on active duty. We obtained basic demographic information (age, race, and rank) from the Defense Enrollment Eligibility Reporting System (DEERS). Next, we calculated BMI for this cohort by matching patients to their vital statistics of height and weight measurements. Finally, we obtained their health service utilization by querying and matching patients to their healthcare claims in 2015 by major diagnostic category.

FINDINGS

More than half (51.2%) of subjects had overweight, 28.9% had normal weight, 19.7% had obesity, and less than 1% had underweight. Soldiers with overweight and obesity were most common among the 25-34 years age range and enlisted ranks. Normal weight and underweight soldiers had a median of 7 healthcare visits in FY 2015, compared with 8 for soldiers with overweight and 12 for those with obesity. Soldiers with obesity, but not overweight, had a disproportionately greater number of healthcare encounters for diagnostic categories including musculoskeletal; mental health; ear, nose, and throat; and endocrine system. In contrast, soldiers with obesity had disproportionately fewer healthcare encounters for multiple significant trauma and for infectious and parasitic diseases.

CONCLUSIONS

More than 70% of soldiers had overweight or obesity in FY 2015, showing the highest prevalence yet measured for these conditions. Previous reports of lower prevalence may be due to the inclusion of circumference-based body fat assessments, which have been criticized for inaccuracy. In our study, disproportionately high health service use by soldiers with obesity suggests decreased readiness, as these soldiers may experience both poorer health and lose necessary training time due to increased provider visits. Proportional usage by soldiers with overweight suggests the protective effect of regular physical activity, though these soldiers should be monitored to ensure that they do not progress to obesity. Additional research should establish the burden of cost, absenteeism, and presenteeism of obesity on the MHS, as well as developing more appropriate field tests for body fat assessment and BMI standards to better support military readiness.

The Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS): progress toward understanding suicide among soldiers

Responding to an unprecedented increase in the suicide rate among soldiers, in 2008 the US Army and US National Institute of Mental Health funded the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS), a multicomponent epidemiological and neurobiological study of risk and resilience factors for suicidal thoughts and behaviors, and their psychopathological correlates among Army personnel. Using a combination of administrative records, representative surveys, computerized neurocognitive tests, and blood samples, Army STARRS and its longitudinal follow-up study (STARRS-LS) are designed to identify potentially actionable findings to inform the Army's suicide prevention efforts. The current report presents a broad overview of Army STARRS and its findings to date on suicide deaths, attempts, and ideation, as well as other important outcomes that may increase suicide risk (e.g., mental disorders, sexual assault victimization). The findings highlight the complexity of environmental and genetic risk and protective factors in different settings and contexts, and the importance of life and career history in understanding suicidal thoughts and behaviors.

Medical-encounter mental health diagnoses, non-fatal injury and polypharmacy indicators of risk for accident death in the US Army enlisted soldiers, 2004-2009

Accidents are a leading cause of deaths in U.S. active duty personnel. Understanding accident deaths during wartime could facilitate future operational planning and inform risk prevention efforts. This study expands prior research, identifying health risk factors associated with U.S. Army accident deaths during the Afghanistan and Iraq war. Military records for 2004-2009 enlisted, active duty, Regular Army soldiers were analyzed using logistic regression modeling to identify mental health, injury, and polypharmacy (multiple narcotic and/or psychotropic medications) predictors of accident deaths for current, previously, and never deployed groups. Deployed soldiers with anxiety diagnoses showed higher risk for accident deaths. Over half had anxiety diagnoses prior to being deployed, suggesting anticipatory anxiety or symptom recurrence may contribute to high risk. For previously deployed soldiers, traumatic brain injury (TBI) indicated higher risk. Two-thirds of these soldiers had first TBI medical-encounter while non-deployed, but mild, combat-related TBIs may have been undetected during deployments. Post-Traumatic Stress Disorder (PTSD) predicted higher risk for never deployed soldiers, as did polypharmacy which may relate to reasons for deployment ineligibility. Health risk predictors for Army accident deaths are identified and potential practice and policy implications discussed. Further research could test for replicability and expand models to include unobserved factors or modifiable mechanisms related to high risk. PTSD predicted high risk among those never deployed, suggesting importance of identification, treatment, and prevention of non-combat traumatic events. Finally, risk predictors overlapped with those identified for suicides, suggesting effective intervention might reduce both types of deaths.