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Related Experiment Video

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Reliability of landing 3D motion analysis: implications for longitudinal analyses.

Kevin R Ford1, Gregory D Myer, Timothy E Hewett

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Summary

This study found that most lower-extremity biomechanical variables during landing in young athletes are reliably measured within and between sessions. These findings support using these measures to identify injury risk mechanisms.

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Area of Science:

  • Sports Medicine
  • Biomechanics
  • Injury Prevention

Background:

  • Understanding injury risk in young athletes is crucial.
  • Biomechanical measures during dynamic tasks can identify injury mechanisms.
  • Reliable measurement of these variables over time is essential for longitudinal studies.

Purpose of the Study:

  • To determine the reliability of three-dimensional (3D) lower-extremity kinematic and kinetic variables during landing in young athletes.
  • To assess measurement reliability within a single testing session.
  • To evaluate measurement reliability between two testing sessions separated by 7 weeks.

Main Methods:

  • Quantified lower-extremity kinetics and kinematics during a drop vertical jump.
  • Employed coefficient of multiple correlations (CMC) and intraclass correlation coefficients (ICC) for reliability analysis.
  • Analyzed within-session and between-session reliability of kinematic and kinetic variables.

Main Results:

  • Excellent within-session reliability for peak angular rotations across all planes (ICC ≥ 0.933).
  • Good to excellent between-session reliability for kinematic and kinetic variables, with some measures showing slightly lower ICCs than within-session.
  • CMC analysis indicated high waveform comparison reliability both within (0.830 ± 0.119) and between sessions (0.823 ± 0.124).

Conclusions:

  • The majority of kinematic and kinetic variables demonstrate good to excellent reliability in young athletes during landing.
  • Reliable quantification of lower-extremity biomechanics in young athletes over extended periods can help identify injury risk factors.
  • These findings support the use of 3D biomechanical analysis in longitudinal studies for injury prevention research.