Themes and Findings of Recent Research Using Army STARRS Data

Joseph Sayre and Grant Voyles*

DOI: 10.26717/BJSTR.2017.01.000189

Received: July 09, 2017;   Published: July 13, 2017

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Abstract

United States military service members and veterans are a group at high risk for suicide. The idea that service members survive the battlefield to return home and commit suicide stings of depressive irony but studies show that the majority of service members and veterans have been exposed to, or affected by, suicide and that the suicide rate among U.S. veterans is increasing, possibly due to numerous deployments and the high tempo operations of modern warfare. Amongst the most notable efforts to study suicide amongst service members in recent years has been the Study. To assess risk and resilience (STARRS) and the study to assess risk and resilience longitudinal study (STARRS-LS). A collaborative effort between the Department of Defense and several universities, STARRS and STARRS-LS constitutes one of the largest studies to date regarding suicide amongst service members. Additionally, the data collected for STARRS has facilitated a large amount of research since its conclusion in 2015. Most of this research has sought to characterize those soldiers most at risk for suicide or to create novel methods to predict suicide amongst soldiers. Our review sought to identify, summarize, and discuss themes amongst the most recent published research that utilized STARRS data to examine suicide. Accordingly, this study aimed to use a validated FE models of thoracolumbar junctional T11- T12 and T12-L1 functional spinal units (FSUs) validated under physiological loading modes: flexion, extension, lateral bending and axial rotation, and to compare the kinematics in terms of the locations and loci of instantaneous axes of rotation (IARs) .

Mini Review| Introduction| Methods| Findings| Characterizing soldiers most at risk| Deployment| Predicting Suicide| Limitations| Conclusion| References|