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Related Concept Videos

Impact Loading01:19

Impact Loading

182
Impact loading occurs when a moving object collides with a stationary structure, such as a rod with a uniform cross-sectional area fixed at one end. Under these conditions, the rod absorbs the kinetic energy from the striking object, leading to deformation and subsequent stress development. As the rod returns to its original position and reaches maximum stress, the absorbed energy, initially manifested as kinetic energy, transforms entirely into strain energy.
In cases of elastic deformation,...
182

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Related Experiment Video

Updated: Jun 3, 2025

Comparative Analysis of Lower Limb Kinematics between the Initial and Terminal Phase of 5km Treadmill Running
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Classifying Impact Loading Using Axial Peak Tibial Acceleration and Impact-Related Biomechanical Differences During

Eoin W Doyle1,2, Tim L A Doyle1,2, Jason Bonacci3

  • 1Faculty of Medicine, Health, and Human Sciences, Macquarie University, Sydney, New South Wales, Australia.

Scandinavian Journal of Medicine & Science in Sports
|January 10, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a new method to classify runners by impact magnitude using axial peak tibial acceleration (PTA). High-impact runners exhibit distinct biomechanical differences, aiding in injury risk assessment.

Keywords:
biomechanicsgait retraininginjury preventionkineticsrunningwearable sensors

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Area of Science:

  • Biomechanics
  • Sports Medicine
  • Running Injury Prevention

Background:

  • Assessing lower extremity impact acceleration is crucial for identifying runners at elevated injury risk.
  • Current methods for classifying high-impact runners using axial peak tibial acceleration (PTA) often use limited data or fixed speeds, potentially affecting accuracy.

Purpose of the Study:

  • To characterize the distribution of axial PTA in runners at their preferred speeds.
  • To establish a speed adjustment factor for impact magnitude.
  • To compare biomechanics between runners categorized by impact magnitude.

Main Methods:

  • 171 runners performed 3D motion capture on an instrumented treadmill at their preferred running speed.
  • Axial PTA was measured at the distal tibia.
  • Linear regression analyzed the relationship between PTA and running speed; runners were classified based on PTA relative to predicted values (±1 SD).

Main Results:

  • Mean axial PTA was 7.8g, increasing by 1.7g per 1.0m/s increase in speed.
  • No significant differences in PTA were found between sexes or lower limbs.
  • High-impact runners demonstrated higher vertical loading rates and greater ankle dorsiflexion at initial contact compared to low-impact runners.

Conclusions:

  • A novel method for classifying runners by impact magnitude using axial PTA is proposed.
  • This classification can be valuable for screening, monitoring, and gait retraining in runners.
  • Impact magnitude is linked to specific biomechanical characteristics, suggesting potential targets for intervention.