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Related Experiment Video

Updated: Feb 23, 2026

Comparative Analysis of Lower Limb Kinematics between the Initial and Terminal Phase of 5km Treadmill Running
08:26

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Published on: July 17, 2020

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Treadmill based reference running data for healthy subjects is dependent on speed and morphological parameters.

Stephan Schulze1, René Schwesig1, Melanie Edel1

  • 1Department of Orthopaedic and Trauma Surgery, Martin Luther University, Halle-Wittenberg, Germany.

Human Movement Science
|September 9, 2017
PubMed
Summary

This study provides running data for healthy individuals, revealing how speed affects running parameters. Body height and mass correlate with specific running metrics, offering insights for kinematic and kinetic analysis.

Keywords:
AnatomyBiomechanicsMusculoskeletal disordersSports ergonomics

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Area of Science:

  • Biomechanics
  • Human Movement Science
  • Sports Medicine

Background:

  • Understanding running biomechanics is crucial for injury prevention and performance enhancement.
  • Establishing normative data for running parameters across various speeds is essential for accurate analysis.
  • The relationship between anthropometric characteristics and running dynamics requires further elucidation.

Purpose of the Study:

  • To generate a comprehensive dataset of spatiotemporal and dynamic running parameters in healthy adults.
  • To investigate the influence of running speed on these biomechanical parameters.
  • To identify correlations between physical characteristics (height, mass) and running metrics.

Main Methods:

  • Data collected from 417 asymptomatic participants using a dynamometric treadmill.
  • Running trials conducted at speeds ranging from 10 to 24 km/h.
  • Calculation and measurement of spatiotemporal parameters (e.g., stride length, cadence) and dynamic parameters (e.g., ground reaction forces).

Main Results:

  • Running parameter assessment is significantly dependent on running speed.
  • Body height showed moderate correlations with stride length (r=0.5), cadence (r=-0.5), and plantar forefoot force (r=0.6).
  • Body mass demonstrated strong relationships with plantar forefoot and midfoot forces at specific speeds (14 and 24 km/h).

Conclusions:

  • The established reference database provides valuable kinematic and kinetic data for running analysis.
  • This data can aid in the evaluation of running patterns across a broad spectrum of speeds.
  • Findings highlight the importance of considering individual physical characteristics in running assessments.