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Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb
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Predicting Dynamic Foot Function From Static Foot Posture: Comparison Between Visual Assessment, Motion Analysis, and

Kade L Paterson1, Ross A Clark, Alexandra Mullins

  • 1Centre for Health, Exercise and Sports Medicine, Department of Physiotherapy, School of Health Sciences, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Australia.

The Journal of Orthopaedic and Sports Physical Therapy
|August 26, 2015
PubMed
Summary

Static foot posture assessments, like the Foot Posture Index (FPI), show weak correlations with dynamic rearfoot and midfoot movements during gait. These static measures have limited ability to predict actual foot kinematics during walking.

Keywords:
FPIbiomechanicsgaitgamingkinematicposture

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Area of Science:

  • Biomechanics
  • Gait Analysis
  • Foot and Ankle Research

Background:

  • Static foot posture is clinically utilized to infer dynamic gait function.
  • Technological advancements, such as depth cameras, offer potential to overcome limitations of traditional static assessments.
  • Understanding the relationship between static posture and dynamic motion is crucial for clinical applications.

Purpose of the Study:

  • To assess the predictive ability of three methods for measuring static foot posture in relation to dynamic rearfoot and midfoot kinematics during gait.
  • To compare the effectiveness of visual observation, 3-D motion analysis, and depth camera systems in assessing foot posture.
  • To determine the correlation between static foot posture measurements and dynamic kinematic data.

Main Methods:

  • A controlled laboratory study involving 31 male participants (average age 22.5 years).
  • Static foot posture was assessed using the Foot Posture Index (FPI) via visual observation, a 3-D motion-analysis system, and a depth camera.
  • Pearson correlations and multiple linear regression were employed to analyze the relationships between static FPI variables and dynamic rearfoot/midfoot kinematics during walking.

Main Results:

  • The majority of Foot Posture Index (FPI) items (85%) did not correlate with foot kinematics across all assessment methods.
  • Fair to moderate correlations were observed between visual FPI items and total rearfoot/midfoot motion.
  • Visual assessment of the FPI demonstrated the strongest predictive model, explaining 37% of the variance in total midfoot inversion/eversion.

Conclusions:

  • Static foot posture measures exhibit weak correlations with rearfoot and midfoot kinematics during gait.
  • The predictive ability of static foot posture assessments for dynamic foot movement is limited.
  • The Foot Posture Index (FPI) may not accurately represent rearfoot or midfoot motion during walking, irrespective of the measurement technique used.