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Mechanical step variability during treadmill running

A Belli1, J R Lacour, P V Komi

  • 1Laboratoire de Physiologie-GIP Exercise, Faculté de Médecine de Lyon Sud, Oullins, France.

European Journal of Applied Physiology and Occupational Physiology
|January 1, 1995
PubMed
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Intra-individual running variability in vertical displacement (delta Z) and step time (delta t) is significant. This variability, influenced by stride asymmetry, increases at higher speeds and impacts running efficiency measurements.

Area of Science:

  • Biomechanics
  • Human Movement Analysis
  • Running Dynamics

Background:

  • Intra-individual variability in running parameters like vertical displacement (delta Z) and step time (delta t) is crucial for understanding running mechanics.
  • Previous studies have not fully accounted for this variability when assessing mechanical efficiency.

Purpose of the Study:

  • To quantify intra-individual step variability in delta Z and delta t during treadmill running.
  • To investigate the influence of running velocity and subject characteristics on this variability.
  • To provide recommendations for accurate measurement of running mechanical parameters.

Main Methods:

  • Kinematic data of 17 subjects running at 60%, 80%, 100%, and 140% of maximal aerobic velocity (Vamax) were collected.
  • Analysis focused on absolute delta Z variability (sigma delta Z) and absolute delta t variability (sigma delta t) over 6116 steps.

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  • Step variability was decomposed into step asymmetry and stride variability components.

    • Main Results:

    • Absolute sigma delta Z ranged from 5-21 mm and sigma delta t from 6-40 ms.
    • For submaximal velocities, variability was independent of velocity or body dimensions, but subject differences were significant for sigma delta Z (P < 0.01).
    • Variability significantly increased at 140% Vamax, and sigma delta Z correlated with energy cost of running at submaximal levels (P < 0.05).

    Conclusions:

    • Intra-individual step variability is a significant factor in running biomechanics and should be considered in studies on mechanical efficiency.
    • To achieve high accuracy (better than 1%) in mechanical parameter measurements, data from at least 32-64 consecutive steps (15-20s) are recommended.