Evidence map›Paper›PMID 31389907›Full record

ArticleMedicine and science in sports and exercise2020

During Cycling What Limits Maximum Mechanical Power Output at Cadences above 120 rpm?

Emma F Hodson-Tole, Ollie M Blake, James M Wakeling

Abstract read
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Article in Medicine and science in sports and exercise, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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0cells of the map it votes in
7citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Do Surface Slope and Posture Influence Lower Extremity Joint Kinetics during Cycling?International journal of environmental research and public health · 2020
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Emma F Hodson-ToleMusculoskeletal Science and Sports Medicine Research Centre, Manchester Metropolitan University, Manchester, UNITED KINGDOM.
Ollie M BlakeDepartment of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, British Columbia, CANADA.
James M WakelingDepartment of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, British Columbia, CANADA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeA key determinant of muscle coordination and maximum power output during cycling is pedaling cadence. During cycling, the neuromuscular system may select from numerous solutions that solve the task demands while producing the same result. For more challenging tasks, fewer solutions will be available. Changes in the variability of individual muscle excitations (EMG) and multimuscle coordination, quantified by entropic half-life (EnHL), can reflect the number of solutions available at each system level. We, therefore, ask whether reduced variability in muscle coordination patterns occur at critical cadences and if they coincide with reduced variability in excitations of individual muscles.

methodsEleven trained cyclists completed an array of cadence-power output conditions. The EnHL of EMG intensity recorded from 10 leg muscles and EnHL of principal components describing muscle coordination were calculated. Multivariate adaptive regressive splines were used to determine the relationships between each EnHL and cycling condition or excitation characteristics (duration, duty cycle).

resultsMuscle coordination became more persistent at cadences up to 120 rpm, indicated by increasing EnHL values. Changes in EnHL at the level of the individual muscles differed from the changes in muscle coordination EnHL, with longer EnHL occurring at the slowest (<80 rpm) and fastest (>120 rpm) cadences. The EnHL of the main power producing muscles, however, reached a minimum by 80 rpm and did not change across the faster cadences studied.

conclusionsMuscle coordination patterns, rather than the contribution of individual muscles, are key to power production at faster cadences in trained cyclists. Reductions in maximum power output at cadences above 120 rpm could be a function of the time available to coordinate orientation and transfer of forces to the pedals.

Indexed as

BicyclingBiomechanical PhenomenaElectromyographyHumansLegMuscle, SkeletalPhysical Conditioning, Human

Identifiers

PMID31389907
PMCPMC7028473

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.