Literature DB >> 28717626

Muscle fatigue in participants of indoor cycling.

Ricardo de Melo Dos Santos1, Flavio Costa E Costa1, Thais Sepeda Saraiva1, Bianca Callegari1.   

Abstract

BACKGROUND: Indoor Cycling (IC) has been gaining recognition and popularity within recent years and few studies have investigated its benefits for sedentary participants.
OBJECTIVE: The aim of this study was to evaluate differences in the surface electromyography (sEMG) variables, heart rate (HR), and subjective effort in sedentary participants while they performed an IC session and to compare their results with the trained subjects, to answer the question: Are trained cyclists less susceptible to muscle fatigue, since it is expected that they make less effort?
DESIGN: Twenty-six volunteers were split into two groups according to their fitness status and weekly training load. Each participant completed an IC session in a private gym, lasting 45 minutes and were encouraged to follow the pedaling frequency and cycle resistance, within their limitations. Main Outcome Measures: HR, participants' subjective effort on the Borg Scale of Perceived Exertion (Borg Scale) and sEMG data were compared between groups.
RESULTS: 28.6% of the sedentary participants withdrew from the study. Exercise intensity, assessed using the HR, was similar in both groups. The subjective perceived effort, assessed using the Borg Scale, was significantly higher in the sedentary group. All muscles considered in the sedentary group had higher variation levels of Root Mean Square (RMS) and Median Frequency (MF) than those in the trained group.
CONCLUSION: Sedentary participants are more likely to present fatigue and IC can be incorporated into protocols for this population, but their fitness levels should be taken into account because each performance depends on the individual's physical fitness. LEVEL OF EVIDENCE: IIIb.

Entities:  

Keywords:  cycling; muscle fatigue; surface electromyography

Year:  2017        PMID: 28717626      PMCID: PMC5505586          DOI: 10.11138/mltj/2017.7.1.173

Source DB:  PubMed          Journal:  Muscles Ligaments Tendons J        ISSN: 2240-4554


  31 in total

1.  Time-frequency methods applied to muscle fatigue assessment during dynamic contractions.

Authors:  M Knaflitz; P Bonato
Journal:  J Electromyogr Kinesiol       Date:  1999-10       Impact factor: 2.368

2.  Cycling efficiency is related to the percentage of type I muscle fibers.

Authors:  E F Coyle; L S Sidossis; J F Horowitz; J D Beltz
Journal:  Med Sci Sports Exerc       Date:  1992-07       Impact factor: 5.411

3.  Pedaling time variability is increased in dropped riding position.

Authors:  Johnny Padulo; Roberto Di Capua; Davide Viggiano
Journal:  Eur J Appl Physiol       Date:  2011-12-20       Impact factor: 3.078

Review 4.  Electromyographic analysis of pedaling: a review.

Authors:  François Hug; Sylvain Dorel
Journal:  J Electromyogr Kinesiol       Date:  2008-02-21       Impact factor: 2.368

5.  EMG normalization to study muscle activation in cycling.

Authors:  David M Rouffet; Christophe A Hautier
Journal:  J Electromyogr Kinesiol       Date:  2007-05-15       Impact factor: 2.368

6.  Physiologic responses during indoor cycling.

Authors:  Rebecca A Battista; Carl Foster; Jessica Andrew; Glenn Wright; Alejandro Lucia; John P Porcari
Journal:  J Strength Cond Res       Date:  2008-07       Impact factor: 3.775

7.  Strength training improves cycling efficiency in master endurance athletes.

Authors:  Julien Louis; Christophe Hausswirth; Christopher Easthope; Jeanick Brisswalter
Journal:  Eur J Appl Physiol       Date:  2011-06-03       Impact factor: 3.078

8.  Repeatability of measurements of oxygen consumption, heart rate and Borg's scale in men during ergometer cycling.

Authors:  Ulla Wergel-Kolmert; Anita Wisén; Björn Wohlfart
Journal:  Clin Physiol Funct Imaging       Date:  2002-07       Impact factor: 2.273

9.  The effect of music on 10-km cycle time-trial performance.

Authors:  Jana Hagen; Carl Foster; Jose Rodríguez-Marroyo; Jos J de Koning; Richard P Mikat; Charles R Hendrix; John P Porcari
Journal:  Int J Sports Physiol Perform       Date:  2012-07-31       Impact factor: 4.010

10.  Method for evaluation of muscle fatigue and endurance from electromyographic fatigue curves.

Authors:  H A DeVries
Journal:  Am J Phys Med       Date:  1968-06
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