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Related Experiment Video

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Influence of Step-Width Manipulation on Running Biomechanics
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Tracking Performance Changes With Running-Stride Variability When Athletes Are Functionally Overreached.

Joel T Fuller, Clint R Bellenger, Dominic Thewlis

    International Journal of Sports Physiology and Performance
    |June 14, 2016
    PubMed
    Summary
    This summary is machine-generated.

    Fatigue from heavy training reduces running stride regularity, impacting performance. Monitoring stride correlations can help manage training loads in athletes.

    Keywords:
    fatiguelong-range correlationnonlinear dynamicsoverreachingovertraining syndrome

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    Area of Science:

    • Sports Science
    • Exercise Physiology
    • Biomechanics

    Background:

    • Running stride intervals exhibit long-range correlations, which are disrupted by fatigue during exhaustive exercise.
    • Functional overreaching, induced by prolonged high training loads, can impair athletic performance.

    Purpose of the Study:

    • To determine if functional overreaching reduces long-range stride interval correlations.
    • To investigate the association between reduced stride correlations and performance decrements due to functional overreaching.

    Main Methods:

    • Ten trained male runners underwent periods of light training (LT7, LT10) and heavy training (HT14) to induce functional overreaching.
    • Running stride intervals and 5-km time-trial (5TT) performance were measured post-training.
    • Detrended fluctuation analysis assessed stride-interval long-range correlations at various speeds.

    Main Results:

    • 5TT performance worsened after heavy training (HT14) but improved after subsequent light training (LT10).
    • Stride-interval long-range correlations did not change significantly after heavy or subsequent light training.
    • Reduced stride-interval correlations at 10.5 km/h correlated with decreased 5TT performance.

    Conclusions:

    • Athletes experiencing greater performance loss from heavy training showed the largest decrease in stride-interval long-range correlations.
    • Measuring stride-interval long-range correlations may serve as a tool to monitor the impact of high training loads on runners.