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Is coordination variability using vector coding different in overground and treadmill walking and running?

Isabella Santana Toro1, Gillian Weir2, Avelino Amado3

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Summary
This summary is machine-generated.

Treadmill running alters coordination variability compared to over-ground locomotion, particularly in sagittal plane couplings during the stance phase. This difference impacts how we interpret running injury research.

Keywords:
Coordination variabilityCouplingStatistical parametric mappingVector coding

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Area of Science:

  • Biomechanics
  • Human locomotion
  • Sports science

Background:

  • Coordination variability is linked to overuse running injuries.
  • Studies have investigated coordination variability on treadmills and over-ground.
  • Direct comparison of over-ground and treadmill coordination variability data is lacking.

Purpose of the Study:

  • To compare lower extremity coordination variability between over-ground and treadmill locomotion.
  • To analyze coordination variability at various walking and running speeds.
  • To determine if treadmill data is comparable to over-ground data for biomechanical analysis.

Main Methods:

  • Nineteen healthy collegiate runners participated.
  • Locomotion was assessed over-ground and on a treadmill at 3 walking and 3 running speeds.
  • Coordination variability of five coupled segment and joint angles was calculated using vector coding.
  • Statistical analysis involved a two-way repeated measures ANOVA with statistical parametric mapping.

Main Results:

  • No interaction effects were found for condition by speed.
  • Coordination variability in sagittal couples was higher during over-ground locomotion than treadmill.
  • This difference was most prominent during the stance phase.
  • Coordination variability generally decreased with increasing speed, especially in the sagittal plane during stance.

Conclusions:

  • Treadmill belt speed influences the intrinsic dynamics of human movement.
  • Direct comparisons between over-ground and treadmill coordination variability data require careful consideration.
  • Future study designs should account for these differences in locomotion analysis.