Musculoskeletal injuries in military personnel—Descriptive epidemiology, risk factor identification, and prevention

作者：Mita T. Lovalekar, Keith G. Hauret, Tanja C. Roy, Kathryn M. Taylor, Sam David Blacker, Phil Newman, Ran Yanovich, Chen Fleischmann, Bradley Charles Nindl, Bruce H. Jones, Michelle Canham-Chervak · 发表于：Journal of science and medicine in sport · 年份：2021 · DOI：10.1016/j.jsams.2021.03.016 · 被引用次数：108 · 研究领域：Occupational Health and Performance、Osteoarthritis Treatment and Mechanisms、Musculoskeletal pain and rehabilitation

OBJECTIVES: To provide an overall perspective on musculoskeletal injury (MSI) epidemiology, risk factors, and preventive strategies in military personnel. DESIGN: Narrative review. METHODS: The thematic session on MSIs in military personnel at the 5th International Congress on Soldiers' Physical Performance (ICSPP) included eight presentations on the descriptive epidemiology, risk factor identification, and prevention of MSIs in military personnel. Additional topics presented were bone anabolism, machine learning analysis, and the effects of non-steroidal anti-inflammatory drugs (NSAIDs) on MSIs. This narrative review focuses on the thematic session topics and includes identification of gaps in existing literature, as well as areas for future study. RESULTS: MSIs cause significant morbidity among military personnel. Physical training and occupational tasks are leading causes of MSI limited duty days (LDDs) for the U.S. Army. Recent studies have shown that MSIs are associated with the use of NSAIDs. Bone MSIs are very common in training; new imaging technology such as high resolution peripheral quantitative computed tomography allows visualization of bone microarchitecture and has been used to assess new bone formation during military training. Physical activity monitoring and machine learning have important applications in monitoring and informing evidence-based solutions to prevent MSIs. CONCLUSIONS: Despite many years of research, MSIs continue to have a high incidence amon...