Literature DB >> 30959429

Years of running experience influences stride-to-stride fluctuations and adaptive response during step frequency perturbations in healthy distance runners.

Cristine E Agresta1, Grant C Goulet2, Jillian Peacock2, Jeffrey Housner3, Ronald F Zernicke4, Jessica Deneweth Zendler2.   

Abstract

RESEARCH QUESTION: The current study investigated stride-to-stride fluctuations of step rate and contact time in response to enforced step frequency perturbations as well as adaptation and de-adaptation behavior.
METHODS: Forty distance runners ran at a self-selected speed and were asked to match five different enforced step frequencies (150, 160, 170, 180, and 190 beats per min). The influence of experience was explored, because running is a skill that presumably gets better with practice, and increased years of running experience is protective against injury. Detrended fluctuation analysis was used to determine the strength of long-range correlations in gait fluctuations at baseline, during the perturbation, and post-perturbation. Adaptive response was measured by the ability to match, rate of matching, and aftereffect of step frequency perturbations.
RESULTS: The structure of stride-to-stride fluctuations for step rate and contact time did not change during the perturbation or post-perturbation compared to baseline. However, fluctuations in step rate were affected by the level of perturbation. Runners with the most experience had a less persistent structural gait pattern for both step rate and contact time at baseline. Highly experienced runners also demonstrated the best adaptive response. They better matched the enforced step frequency, reached the enforced step frequency sooner, and returned to preferred step frequency more quickly following removal of the perturbation. SIGNIFICANCE: These findings indicate baseline locomotor flexibility may be beneficial to achieve task demands and return to a stable state once the task is complete. Increased locomotor flexibility may also be a contributing factor for reduced injury risk in experienced runners.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Adaptability; Cadence; Long-range correlation; Novice; Stability

Mesh:

Year:  2019        PMID: 30959429     DOI: 10.1016/j.gaitpost.2019.02.034

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


  1 in total

1.  Recognition of Foot-Ankle Movement Patterns in Long-Distance Runners With Different Experience Levels Using Support Vector Machines.

Authors:  Eneida Yuri Suda; Ricky Watari; Alessandra Bento Matias; Isabel C N Sacco
Journal:  Front Bioeng Biotechnol       Date:  2020-06-11
  1 in total

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