Force-Velocity Profiles of Elite Athletes Tested on a Cycle Ergometer

The present study explored the sensitivity of the force-velocity (F-V) modelling approach obtained from maximal sprints on a leg cycle ergometer to detect selective changes of the mechanical capacities of the lower body muscles associated with high-level training. Specifically, we assumed that the...

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Main Authors: Predrag R. Bozic, Bobana Berjan Bacvarevic
Format: Article
Language:English
Published: Montenegrin Sports Academy 2018-03-01
Series:Montenegrin Journal of Sports Science and Medicine
Subjects:
Online Access:http://www.mjssm.me/clanci/MJSSM_March_2018_Bozic_59-66.pdf
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spelling doaj-54537a2e95a74ab2a705659f1bd276a82021-06-02T09:52:12ZengMontenegrin Sports AcademyMontenegrin Journal of Sports Science and Medicine1800-87551800-87632018-03-0171596610.26773/mjssm.180308Force-Velocity Profiles of Elite Athletes Tested on a Cycle ErgometerPredrag R. BozicBobana Berjan BacvarevicThe present study explored the sensitivity of the force-velocity (F-V) modelling approach obtained from maximal sprints on a leg cycle ergometer to detect selective changes of the mechanical capacities of the lower body muscles associated with high-level training. Specifically, we assumed that the F-V relationship parameters, such as maximum force (F0 ), velocity (V0 ), power (PM) and slope, would differ among individuals of different high-level training backgrounds. In total, 111 elite athletes divided into four groups (Combat sports, Athletic sprints, Team sports and Physically active) performed maximal sprints on a leg cycle ergometer loaded with 7%, 9%, and 11% of body weight. The findings obtained suggest an exceptionably strong and linear F-V relationship in most of the participants (r > 0.95), while higher PM have been found in all groups of athletes compared to the Physically active group (p < 0.05). In addition, sport-specific F-V profiles have been observed in athletes that belong to distinctively different sports (i.e. higher F0 and forceoriented slope for strength-trained Combat sports and higher V0 for speed-trained Athletic sprints). To our knowledge, this is one of the rare studies that evaluate the F-V profiles with such a large sample of elite athletes obtained from commonly used task such as maximal sprints on a leg cycle ergometer. The results obtained support a high sensitivity of the F-V modelling approach to distinguish among elite athletes with different training histories.http://www.mjssm.me/clanci/MJSSM_March_2018_Bozic_59-66.pdfsprint cycling testforce-velocity relationshipsensitivitylinear regressionelite athletes
collection DOAJ
language English
format Article
sources DOAJ
author Predrag R. Bozic
Bobana Berjan Bacvarevic
spellingShingle Predrag R. Bozic
Bobana Berjan Bacvarevic
Force-Velocity Profiles of Elite Athletes Tested on a Cycle Ergometer
Montenegrin Journal of Sports Science and Medicine
sprint cycling test
force-velocity relationship
sensitivity
linear regression
elite athletes
author_facet Predrag R. Bozic
Bobana Berjan Bacvarevic
author_sort Predrag R. Bozic
title Force-Velocity Profiles of Elite Athletes Tested on a Cycle Ergometer
title_short Force-Velocity Profiles of Elite Athletes Tested on a Cycle Ergometer
title_full Force-Velocity Profiles of Elite Athletes Tested on a Cycle Ergometer
title_fullStr Force-Velocity Profiles of Elite Athletes Tested on a Cycle Ergometer
title_full_unstemmed Force-Velocity Profiles of Elite Athletes Tested on a Cycle Ergometer
title_sort force-velocity profiles of elite athletes tested on a cycle ergometer
publisher Montenegrin Sports Academy
series Montenegrin Journal of Sports Science and Medicine
issn 1800-8755
1800-8763
publishDate 2018-03-01
description The present study explored the sensitivity of the force-velocity (F-V) modelling approach obtained from maximal sprints on a leg cycle ergometer to detect selective changes of the mechanical capacities of the lower body muscles associated with high-level training. Specifically, we assumed that the F-V relationship parameters, such as maximum force (F0 ), velocity (V0 ), power (PM) and slope, would differ among individuals of different high-level training backgrounds. In total, 111 elite athletes divided into four groups (Combat sports, Athletic sprints, Team sports and Physically active) performed maximal sprints on a leg cycle ergometer loaded with 7%, 9%, and 11% of body weight. The findings obtained suggest an exceptionably strong and linear F-V relationship in most of the participants (r > 0.95), while higher PM have been found in all groups of athletes compared to the Physically active group (p < 0.05). In addition, sport-specific F-V profiles have been observed in athletes that belong to distinctively different sports (i.e. higher F0 and forceoriented slope for strength-trained Combat sports and higher V0 for speed-trained Athletic sprints). To our knowledge, this is one of the rare studies that evaluate the F-V profiles with such a large sample of elite athletes obtained from commonly used task such as maximal sprints on a leg cycle ergometer. The results obtained support a high sensitivity of the F-V modelling approach to distinguish among elite athletes with different training histories.
topic sprint cycling test
force-velocity relationship
sensitivity
linear regression
elite athletes
url http://www.mjssm.me/clanci/MJSSM_March_2018_Bozic_59-66.pdf
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