Literature DB >> 33824080

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

Mita Lovalekar1, Keith Hauret2, Tanja Roy3, Kathryn Taylor3, Sam D Blacker4, Phillip Newman5, Ran Yanovich6, Chen Fleischmann6, Bradley C Nindl7, Bruce Jones2, Michelle Canham-Chervak2.   

Abstract

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 among military personnel. Areas for future research include quantifying exposure when determining MSI risk; understanding associations between health-related components of physical fitness and MSI occurrence; and application of innovative imaging, physical activity monitoring and data analysis techniques for MSI prevention and return to duty.
Copyright © 2021 Sports Medicine Australia. All rights reserved.

Entities:  

Keywords:  Fractures, Stress; Machine learning; Military personnel; Public health

Year:  2021        PMID: 33824080     DOI: 10.1016/j.jsams.2021.03.016

Source DB:  PubMed          Journal:  J Sci Med Sport        ISSN: 1878-1861            Impact factor:   4.319


  3 in total

1.  Elevated Kinesiophobia Is Associated With Reduced Recovery From Lower Extremity Musculoskeletal Injuries in Military and Civilian Cohorts.

Authors:  Ruth L Chimenti; Molly S Pacha; Natalie A Glass; Mathew Frazier; Amy O Bowles; Andrew D Valantine; Kristin R Archer; Jason M Wilken
Journal:  Phys Ther       Date:  2022-02-01

2.  Unsupervised Clustering Techniques Identify Movement Strategies in the Countermovement Jump Associated With Musculoskeletal Injury Risk During US Marine Corps Officer Candidates School.

Authors:  Matthew B Bird; Qi Mi; Kristen J Koltun; Mita Lovalekar; Brian J Martin; AuraLea Fain; Angelique Bannister; Angelito Vera Cruz; Tim L A Doyle; Bradley C Nindl
Journal:  Front Physiol       Date:  2022-05-11       Impact factor: 4.755

3.  Tibial Bone Geometry Is Associated With Bone Stress Injury During Military Training in Men and Women.

Authors:  Kristen J Koltun; Nicole M Sekel; Matthew B Bird; Mita Lovalekar; Qi Mi; Brian J Martin; Bradley C Nindl
Journal:  Front Physiol       Date:  2022-02-11       Impact factor: 4.566

  3 in total

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