Literature DB >> 10653030

Is a joint moment-based cost function associated with preferred cycling cadence?

A P Marsh1, P E Martin, D J Sanderson.   

Abstract

Eight experienced male cyclists (C), eight well-trained male runners (R), and eight less-trained male noncyclists (LT) were tested under multiple cadence and power output conditions to determine: (1) if the cadence at which lower extremity net joint moments are minimized (cost function cadence) was associated with preferred pedaling cadence (PC), (2) if the cost function cadence increased with increases in power output, and (3) if the association is generalizable across groups differing in cycling experience and aerobic power. Net joint moments at the hip, knee, and ankle were computed from video records and pedal reaction force data using 2-D inverse dynamics. The sum of the average absolute hip, knee, and ankle joint moments defined a cost function at each power output and cadence and provided the basis for prediction of the cadence which minimized net joint moments for each subject at each power output. The cost function cadence was not statistically different from the PC at each power output in all groups. As power output increased, however, the cost function cadence increased for all three subject groups (86 rpm at 100 W, 93 rpm at 150 W, 98 rpm at 200 W, and 96 rpm at 250 W). PC showed little change (R) or a modest decline (C, LT) with increasing power output. Based upon the similarity in the mean data but different trends in the cost function cadence and PC in response to changes in power output as well as the lack of significant correlations between these two variables, it was concluded that minimiking net joint moments is a factor modestly associated with preferred cadence selection.

Mesh:

Year:  2000        PMID: 10653030     DOI: 10.1016/s0021-9290(99)00155-4

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  8 in total

1.  Relation between preferred and optimal cadences during two hours of cycling in triathletes.

Authors:  S Argentin; C Hausswirth; T Bernard; F Bieuzen; J-M Leveque; A Couturier; R Lepers
Journal:  Br J Sports Med       Date:  2006-04       Impact factor: 13.800

2.  The role of the slope of oxygen consumption and EMG activity on freely chosen pedal rate selection.

Authors:  Nicolas Bessot; Sébastien Moussay; Sylvain Laborde; Antoine Gauthier; Bruno Sesboüé; Damien Davenne
Journal:  Eur J Appl Physiol       Date:  2008-02-12       Impact factor: 3.078

3.  Evidence for freely chosen pedalling rate during submaximal cycling to be a robust innate voluntary motor rhythm.

Authors:  Ernst Albin Hansen; Ann Elisabeth Ohnstad
Journal:  Exp Brain Res       Date:  2007-12-11       Impact factor: 1.972

4.  The effect of cycling cadence on subsequent 10km running performance in well-trained triathletes.

Authors:  Garry Tew
Journal:  J Sports Sci Med       Date:  2005-09-01       Impact factor: 2.988

5.  Freely chosen pedal rate during free cycling on a roller and ergometer cycling.

Authors:  Stig Leirdal; Gertjan Ettema
Journal:  Eur J Appl Physiol       Date:  2009-05-24       Impact factor: 3.078

6.  Influence of cadence, power output and hypoxia on the joint moment distribution during cycling.

Authors:  Guillaume Mornieux; Jordan A Guenette; A William Sheel; David J Sanderson
Journal:  Eur J Appl Physiol       Date:  2007-09-06       Impact factor: 3.078

7.  Skeletal muscle oxygenation during cycling at different power output and cadence.

Authors:  Lisha Shastri; Mariana Alkhalil; Claire Forbes; Tina El-Wadi; Gerrard Rafferty; Koji Ishida; Federico Formenti
Journal:  Physiol Rep       Date:  2019-02

8.  Effects of Pedal Speed and Crank Length on Pedaling Mechanics during Submaximal Cycling.

Authors:  Paul Richard Barratt; James C Martin; Steve J Elmer; Thomas Korff
Journal:  Med Sci Sports Exerc       Date:  2016-04       Impact factor: 5.411

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.