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Minimum time required for assessing step variability during running at submaximal velocities.

Felipe García-Pinillos1, Pedro A Latorre-Román2, Rodrigo Ramírez-Campillo3

  • 1Department of Physical Education, Sports and Recreation, Universidad de La Frontera, Temuco, Chile.

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Determining the minimum recording duration for accurate running spatiotemporal variability is crucial. Longer recording intervals improve measurement accuracy, regardless of running speed, by reducing bias and errors.

Keywords:
BiomechanicsGait variabilityMovement variabilityRunning

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Area of Science:

  • Biomechanics
  • Sports Science
  • Running Analysis

Background:

  • Accurate assessment of running spatiotemporal variability is essential for performance analysis and injury prevention.
  • Previous research has not definitively established the optimal recording duration for reliable spatiotemporal variability measurements.

Purpose of the Study:

  • To determine the minimum recording duration and number of steps required for reliable assessment of spatiotemporal variability during running.
  • To investigate the influence of different submaximal running velocities on the required recording duration.

Main Methods:

  • Nineteen trained runners completed an incremental running protocol at 10, 12, 14, and 16 km/h.
  • Spatiotemporal parameters (contact/flight times, step length/frequency) were measured using the OptoGait system.
  • Variability was analyzed over durations from 10 to 180 seconds using standard deviation and coefficient of variation.

Main Results:

  • No significant differences in spatiotemporal parameters or their variability were found across different recording intervals at any velocity (p ≥ 0.05).
  • Longer recording intervals consistently reduced systematic bias, random errors, and narrowed the limits of agreement.
  • The duration of the recording period significantly impacts measurement accuracy, independent of running velocity.

Conclusions:

  • The duration of data collection is a critical factor for accurately estimating running spatiotemporal variability.
  • While shorter durations may not significantly alter variability metrics, longer intervals enhance measurement precision.
  • Recommendations for optimal recording durations should consider the trade-off between data collection time and measurement accuracy.