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Related Experiment Video

Updated: May 13, 2026

Lower Limb Biomechanical Analysis of Healthy Participants
06:36

Lower Limb Biomechanical Analysis of Healthy Participants

Published on: April 15, 2020

Lower-limb joint coordination pattern in obese subjects.

Alberto Ranavolo1, Lorenzo M Donini, Silvia Mari

  • 1Department of Occupational Medicine, INAIL, Via Fontana Candida 1, Monte Porzio Catone, 00040 Rome, Italy.

Biomed Research International
|March 14, 2013
PubMed
Summary
This summary is machine-generated.

Obesity alters walking coordination by increasing variability in how joints move together, potentially raising fall risk. This highlights the need to address coordination variability in obesity treatment.

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Area of Science:

  • Biomechanics
  • Human Locomotion
  • Obesity Research

Background:

  • Locomotion coordination is vital and affected by various pathologies.
  • Obesity imposes mechanical constraints on the pelvis and lower limbs.
  • Altered coordination can lead to joint issues and increased fall risk.

Purpose of the Study:

  • To investigate the effects of obesity on interjoint coordination during walking.
  • To determine if and how obesity modifies coordination patterns.

Main Methods:

  • Evaluated interjoint coordination during walking in 25 obese subjects and a control group.
  • Measured time-distance parameters and joint kinematics.
  • Analyzed stride-to-stride variability in interjoint coupling.

Main Results:

  • Obese subjects showed similar joint kinematics but differences in time-distance and coupling parameters compared to controls.
  • Obese individuals exhibited significantly higher stride-to-stride variability in interjoint coupling parameters.
  • The overall mean coordinative pattern remained largely unaltered in obese individuals.

Conclusions:

  • Increased variability in interjoint coupling during walking in obesity is a key finding.
  • This heightened variability is linked to an elevated risk of falls.
  • Treatments for obesity should consider restoring normal coordination patterns by addressing this variability.