Associations of Physical Fitness and Body Composition Characteristics With Simulated Military Task Performance
Pihlainen, K., Santtila, M., Häkkinen, K., & Kyröläinen, H. (2018). Associations of Physical Fitness and Body Composition Characteristics With Simulated Military Task Performance. Journal of Strength and Conditioning Research, 32(4), 1089-1098. https://doi.org/10.1519/JSC.0000000000001921
Published in
Journal of Strength and Conditioning ResearchDate
2018Discipline
LiikuntafysiologiaValmennus- ja testausoppiExercise PhysiologyScience of Sport Coaching and Fitness TestingCopyright
© 2017 National Strength and Conditioning Association. This is a final draft version of an article whose final and definitive form has been published by Lippincott, Williams & Wilkins. Published in this repository with the kind permission of the publisher.
The purpose of this study was to evaluate
the associations of physical fitness and body composition
characteristics with anaerobic endurance performance, tested in
the combat load using the occupationally relevant military simulation
test (MST). Eighty-one male soldiers, deployed to a crisis
management operation in the Middle East, volunteered for the
study and participated in a test battery consisting measurements
of muscle strength, body composition characteristics, endurance
capacity, and MST. A Spearman correlational analysis revealed
that the strongest variable, correlated with MST time, was the
countermovement jump performed with the combat load
(CMJ2) (rs = 20.66, p , 0.001). Among the individual body
composition variables, the MST time had the strongest relationship
with fat percentage (rs = 0.53, p , 0.001) and skeletal
muscle mass (SMM) (rs = 20.47, p , 0.001). The use of the
dead mass ratio, which was calculated dividing body mass by fat
mass accompanied with the weight of the combat load, increased
body composition-based associations significantly, and this variable
turned out to be the best single predictor for the MST performance
(rs = 20.67, p , 0.001). Significant predictors of the
MST time in the stepwise multivariate regression analysis included
CMJ2, 3000 m, SMM, and push-ups. Together, these variables
explained 66% (R2
adj ¼ 0:658, model p , 0.001) of the variance in
the MST time. In conclusion, the novel MST is a promising military
specific assessment method of muscle power of the lower
extremities and endurance capacity, which are crucial performance
components in anaerobic combat situations.
...


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- Liikuntatieteiden tiedekunta [2059]
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