Literature DB >> 32933821

Long-range correlations and stride pattern variability in recreational and elite distance runners during a prolonged run.

C Markus Brahms1, Yang Zhao2, David Gerhard2, John M Barden3.   

Abstract

BACKGROUND: Although movement variability and long-range correlations (LRCs) have been assessed in relation to neuropathology and aging during walking, to date only a few studies have investigated these aspects in subjects of different skill levels during prolonged overground running. RESEARCH QUESTION: What effect does skill level and run duration have on different stride parameters, measures of variability and long-range correlations?
METHODS: Using a between-subject repeated measures design, we assessed stride mechanics, variability and LRCs in recreational and elite runners over the course of a continuous exhaustive run. All subjects ran at a fixed, pre-determined running speed relative to their maximal performance. Stride parameters were continually recorded using a single foot-mounted inertial measurement unit. It was hypothesized that a significant reduction in the strength of the LRCs would occur over the course of the run and that the observed changes would be more pronounced in the group of recreational runners.
RESULTS: Runners maintained a consistent stride length (SL), stride time (ST) and contact time (CT) during the run, while peak impact acceleration increased. Across groups, long-range correlations significantly decreased over the course of the run, while the magnitude of the variability remained constant. LRCs did not differ significantly between groups. SIGNIFICANCE: This is the first study to simultaneously investigate the effects of prolonged running and skill level on a range of stride parameters as well as stride-to-stride variability. Generally, long-range correlations were shown to be sensitive to run duration, while the magnitude of the variability did not differ between earlier and later stages of the run. The lack of a group effect on LRCs supports the idea that the mechanisms responsible for the emergence of temporal patterns in the stride pattern are not influenced by skill level.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  DFA; accelerometer; fatigue; gait variability; running

Mesh:

Year:  2020        PMID: 32933821     DOI: 10.1016/j.gaitpost.2020.08.107

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  4 in total

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Review 2.  Accelerometer-Based Identification of Fatigue in the Lower Limbs during Cyclical Physical Exercise: A Systematic Review.

Authors:  Luca Marotta; Bouke L Scheltinga; Robbert van Middelaar; Wichor M Bramer; Bert-Jan F van Beijnum; Jasper Reenalda; Jaap H Buurke
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3.  Stride-to-Stride Variability of the Center of Mass in Male Trained Runners After an Exhaustive Run: A Three Dimensional Movement Variability Analysis With a Subject-Specific Anthropometric Model.

Authors:  Felix Möhler; Bernd Stetter; Hermann Müller; Thorsten Stein
Journal:  Front Sports Act Living       Date:  2021-05-24

Review 4.  Is This the Real Life, or Is This Just Laboratory? A Scoping Review of IMU-Based Running Gait Analysis.

Authors:  Lauren C Benson; Anu M Räisänen; Christian A Clermont; Reed Ferber
Journal:  Sensors (Basel)       Date:  2022-02-23       Impact factor: 3.576

  4 in total

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