Force-Velocity Profiles of Elite Athletes Tested on a Cycle Ergometer
Autor: | Bobana Berjan Bacvarevic, Predrag R. Bozic |
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Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
0301 basic medicine
medicine.medical_specialty education Physical Therapy Sports Therapy and Rehabilitation force-velocity relationship 03 medical and health sciences 0302 clinical medicine Physical medicine and rehabilitation medicine elite athletes Cycle ergometer Orthopedics and Sports Medicine Elite athletes Rehabilitation 030229 sport sciences sensitivity 030104 developmental biology GV557-1198.995 Sports medicine linear regression Psychology human activities RC1200-1245 Force velocity sprint cycling test Sports |
Zdroj: | Montenegrin Journal of Sports Science and Medicine, Vol 7, Iss 1, Pp 59-66 (2018) |
ISSN: | 1800-8763 1800-8755 |
Popis: | 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. |
Databáze: | OpenAIRE |
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