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Interlaboratory Study Toward Combining Gait Kinematics Data Sets of Long-Distance Runners.

Reginaldo Kisho Fukuchi1, Marcos Duarte1, Reed Ferber2

  • 1Biomedical Engineering Program, Federal University of ABC, Sao Bernardo do Campo, SP, Brazil.

Journal of Applied Biomechanics
|August 8, 2024
PubMed
Summary

Combining gait data from different labs can boost sample sizes for running studies. However, researchers should carefully interpret frontal and transverse plane data due to observed differences between centers.

Keywords:
motion analysismulticenter studiesrunning

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Area of Science:

  • Biomechanics
  • Human Movement Science
  • Sports Medicine

Background:

  • Limited sample sizes in gait analysis studies hinder research progress.
  • Multicenter studies offer a solution by pooling data from diverse laboratories.
  • Standardization of methods is crucial for successful data integration.

Purpose of the Study:

  • To compare 3-dimensional lower-extremity running kinematics between two distinct laboratories.
  • To assess the feasibility and reliability of combining gait data from different institutions.
  • To identify variations in kinematic data across different testing environments.

Main Methods:

  • Collected 3D lower-extremity running kinematics from 23 male runners in Brazil and Canada.
  • Utilized comparable instrumentation and experimental protocols in both laboratories.
  • Compared hip, knee, and ankle angles using root-mean-square deviation and statistical parametric mapping.

Main Results:

  • Sagittal plane angles showed similarity between laboratories.
  • Frontal and transverse plane angles exhibited notable differences between the two centers.
  • Interlaboratory variability was lower than intralaboratory variability, indicating potential for data pooling.

Conclusions:

  • Combining gait kinematics data from multiple centers can increase sample size for running studies.
  • Frontal and transverse plane kinematic data require cautious interpretation when merging datasets from different labs.
  • Standardized protocols are essential for maximizing the utility of multicenter gait analysis.