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Updated: Jun 27, 2026

Evaluating Postural Control and Lower-extremity Muscle Activation in Individuals with Chronic Ankle Instability
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Differentiating fall-prone and healthy adults using local dynamic stability.

Thurmon E Lockhart1, Jian Liu

  • 1Locomotion Research Laboratory, Grado Department of Industrial and Systems Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA. lockhart@vt.edu

Ergonomics
|November 27, 2008
PubMed
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Local dynamic stability, a new measure, can identify elderly individuals at high risk of falling. Lower stability indicates a greater fall risk, aiding in early detection and prevention strategies.

Area of Science:

  • Biomechanics
  • Gerontology
  • Non-linear Dynamics

Background:

  • Gait variability has traditionally been used to assess stability and predict falls in the elderly.
  • Recent advances in non-linear dynamics offer a more rigorous measure: local dynamic stability.

Purpose of the Study:

  • To investigate if local dynamic stability can identify elderly individuals prone to falls.
  • To assess the ability of local dynamic stability to differentiate fall-prone elderly from healthy controls.

Main Methods:

  • Quantified local dynamic stability using the maximum Lyapunov exponent during a walking experiment.
  • Included healthy young adults, healthy elderly adults, and fall-prone elderly adults.

Main Results:

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Last Updated: Jun 27, 2026

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Evaluating Postural Control and Lower-extremity Muscle Activation in Individuals with Chronic Ankle Instability

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  • Fall-prone elderly individuals exhibited significantly lower local dynamic stability compared to healthy elderly individuals.
  • This indicates greater sensitivity to local perturbations in fall-prone elderly.

    • Conclusions:

    • Reduced local dynamic stability may explain increased falls in the elderly due to impaired control of stride-to-stride disturbances.
    • Local dynamic stability shows potential as a fall predictor for early identification of at-risk individuals.