The Warrior Wellness Study: A Randomized Controlled Exercise Trial for Older Veterans with PTSD.
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Posttraumatic stress disorder (PTSD) affects up to 30% of military veterans. Older veterans, many of whom have lived with PTSD symptoms for several decades, report a number of negative health outcomes. Despite the demonstrated benefits of regular exercise on physical and psychological health, no studies have explored the impact of exercise in older veterans with PTSD. This paper describes the development, design, and implementation of the Warrior Wellness exercise pilot study for older veterans with PTSD. Veterans aged ≥60 with a Diagnostic and Statistical Manual of Mental Disorders (DSM-V) diagnosis of PTSD will be recruited and randomized to (a) Warrior Wellness, a 12-week supervised, facility-based exercise intervention, or (b) usual care for 12 weeks. Warrior Wellness is a theory- and evidence-based behavioral intervention that involves 3 sessions per week of multi-component exercise training that targets strength, endurance, balance, and flexibility. Warrior Wellness focuses on satisfaction with outcomes, self-efficacy, self-monitoring, and autonomy. Factors associated with program adherence, defined as the number of sessions attended during the 12 weeks, will be explored. Primary outcomes include PTSD symptoms and cardiovascular endurance, assessed at baseline and 12 weeks. Compared to those in usual care, it is hypothesized that those in the Warrior Wellness condition will improve on these efficacy outcomes. The Warrior Wellness study will provide evidence on whether a short-term exercise intervention is feasible, acceptable, and effective among older veterans with PTSD, and explore factors associated with program adherence. ClinicalTrials.gov Identifier: NCT02295995.
Published Version (Please cite this version)10.1249/tjx.0000000000000056
Publication InfoBeckham, Jean C; Bosworth, Hayden Barry; Hall, Katherine; Morey, Miriam C; Pebole, Michelle M; Pieper, Carl F; & Sloane, Richard (2018). The Warrior Wellness Study: A Randomized Controlled Exercise Trial for Older Veterans with PTSD. Translational journal of the American College of Sports Medicine, 3(6). pp. 43-51. 10.1249/tjx.0000000000000056. Retrieved from https://hdl.handle.net/10161/17207.
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Professor in Population Health Sciences
Dr. Bosworth is a health services research and Associate Director of the Center for Health Services Research in Primary Care at the Durham VA Medical Center. He is also a Professor of Medicine, Psychiatry, and Nursing at Duke University Medical Center and Adjunct Professor in Health Policy and Administration at the School of Public Health at the University of North Carolina at Chapel Hill. His research interests comprise three overarching areas of research: 1) clinical research that provides
Assistant Professor in Medicine
My research is focused on developing evidence-based physical activity interventions for older adults with an eye to preserving functional independence and quality of life. I am particularly interested in developing exercise programs to promote physical and psychological well-being among older veterans with posttraumatic stress disorder (PTSD). - See more at: http://sites.duke.edu/katherinehall/research/
Professor in Medicine
The general focus of Dr. Morey's work is exercise and aging. All of her research examines how physical activity, exercise training, or physical fitness influence the physical functioning and/or pyschosocial quality of life of older adults. She directs a supervised hospital-based program for older adults, which is used to examine longitudinally the effects of exercise training on the musculoskeletal, articular, and cardiorespiratory systems. Furthermore, she has a number of studies that e
Associate Professor of Biostatistics and Bioinformatics
Analytic Interests. 1) Issues in the Design of Medical Experiments: I explore the use of reliability/generalizability models in experimental design. In addition to incorporation of reliability, I study powering longitudinal trials with multiple outcomes and substantial missing data using Mixed models. 2) Issues in the Analysis of Repeated Measures Designs & Longitudinal Data: Use of Hierarchical Linear Models (HLM) or Mixed Models in modeling trajectories of multipl
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