Literature DB >> 18302076

Cadence and workload effects on pedaling technique of well-trained cyclists.

M Rossato1, R R Bini, F P Carpes, F Diefenthaeler, A R P Moro.   

Abstract

This study investigated the effects of changing cadence and workload on pedaling technique. Eight cyclists were evaluated during an incremental maximal cycling and two 30-minute submaximal trials at 60% and 80% of maximal power output (W(60%) and W(80%), respectively). During submaximal 30-minute trials, they cycled for 10 minutes at a freely chosen cadence (FCC), 10 minutes at a cadence 20% above FCC (FCC+20%), and 10 minutes at a cadence 20% below FCC (FCC-20%). Pedal forces and kinematics were evaluated. The resultant force (RF), effective force (EF), index of effectiveness (IE) and IE during propulsive and recovery phase (IEprop and IErec, respectively) were computed. For W(60%), FCC-20% and FCC presented higher EFmean (69+/-9 N and 66+/-14 N, respectively) than FCC+20% (52+/-14 N). FCC presented the highest IEprop (81+/-4%) among the cadences (74+/-4 and 78+/-5% for FCC-20% and FCC+20%, respectively). For W(80%), FCC presented higher EFmean (81+/-5 N) than FCC+20% (72 +/- 10 N). The FCC-20% presented the lower IEprop (71+/-7%) among the cadences. The EFmin was higher for W(80%) than W(60%) for all cadences. The IE was higher at W (80%) (61+/-5%) than W (60%) (54+/-9%) for FCC+20% (all p<0.05). Lower cadences were more effective during the recovery phase for both intensities and FCC was the best technique during the propulsive phase.

Mesh:

Year:  2008        PMID: 18302076     DOI: 10.1055/s-2008-1038375

Source DB:  PubMed          Journal:  Int J Sports Med        ISSN: 0172-4622            Impact factor:   3.118


  5 in total

1.  An ultra-low power wireless sensor network for bicycle torque performance measurements.

Authors:  Sadik K Gharghan; Rosdiadee Nordin; Mahamod Ismail
Journal:  Sensors (Basel)       Date:  2015-05-21       Impact factor: 3.576

2.  Different cadences and resistances in sub-maximal synchronous handcycling in able-bodied men: Effects on efficiency and force application.

Authors:  Cassandra Kraaijenbrink; Riemer J K Vegter; Alexander H R Hensen; Heiko Wagner; Lucas H V van der Woude
Journal:  PLoS One       Date:  2017-08-25       Impact factor: 3.240

3.  Phase space methods for non-linear analysis of pedalling forces in cycling.

Authors:  Alexander Kunert; Marcel Ott; Thomas Reuter; Daniel Koska; Christian Maiwald
Journal:  PLoS One       Date:  2019-04-18       Impact factor: 3.240

4.  Evaluation of Power Production Asymmetry during Cycling in Persons with Multiple Sclerosis.

Authors:  John W Farrell; Debra A Bemben; Christopher D Black; Daniel J Larson; Gabriel Pardo; Cecilie Fjeldstad-Pardo; Rebecca D Larson
Journal:  Int J Environ Res Public Health       Date:  2019-09-17       Impact factor: 3.390

5.  Comparison of body composition, heart rate variability, aerobic and anaerobic performance between competitive cyclists and triathletes.

Authors:  Erşan Arslan; Dicle Aras
Journal:  J Phys Ther Sci       Date:  2016-04-28
  5 in total

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