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Poor anaerobic power/capability and static balance predicted prospective musculoskeletal injuries among Soldiers of the 101st Airborne (Air Assault) Division.

Authors :
Nagai T
Lovalekar M
Wohleber MF
Perlsweig KA
Wirt MD
Beals K
Source :
Journal of science and medicine in sport [J Sci Med Sport] 2017 Nov; Vol. 20 Suppl 4, pp. S11-S16. Date of Electronic Publication: 2017 Oct 24.
Publication Year :
2017

Abstract

Musculoskeletal injuries have negatively impacted tactical readiness. The identification of prospective and modifiable risk factors of preventable musculoskeletal injuries can guide specific injury prevention strategies for Soldiers and health care providers.<br />Objectives: To analyze physiological and neuromuscular characteristics as predictors of preventable musculoskeletal injuries.<br />Design: Prospective-cohort study.<br />Methods: A total of 491 Soldiers were enrolled and participated in the baseline laboratory testing, including body composition, aerobic capacity, anaerobic power/capacity, muscular strength, flexibility, static balance, and landing biomechanics. After reviewing their medical charts, 275 male Soldiers who met the criteria were divided into two groups: with injuries (INJ) and no injuries (NOI). Simple and multiple logistic regression analyses were used to calculate the odds ratio (OR) and significant predictors of musculoskeletal injuries (p<0.05).<br />Results: The final multiple logistic regression model included the static balance with eyes-closed and peak anaerobic power as predictors of future injuries (p<0.001).<br />Conclusions: The current results highlighted the importance of anaerobic power/capacity and static balance. High intensity training and balance exercise should be incorporated in their physical training as countermeasures.<br /> (Copyright © 2017 Sports Medicine Australia. All rights reserved.)

Details

Language :
English
ISSN :
1878-1861
Volume :
20 Suppl 4
Database :
MEDLINE
Journal :
Journal of science and medicine in sport
Publication Type :
Academic Journal
Accession number :
29097231
Full Text :
https://doi.org/10.1016/j.jsams.2017.10.023