Predicting dynamic foot function from static foot posture : Comparison between visual assessment, motion analysis, and a commercially available depth camera
Journal article
Paterson, Kade, Clark, Ross, Mullins, Alexandra, Bryant, Adam and Mentiplay, Benjamin. (2015). Predicting dynamic foot function from static foot posture : Comparison between visual assessment, motion analysis, and a commercially available depth camera. Journal of Orthopaedic and Sports Physical Therapy. 45(10), pp. 789 - 798. https://doi.org/10.2519/jospt.2015.5616
Authors | Paterson, Kade, Clark, Ross, Mullins, Alexandra, Bryant, Adam and Mentiplay, Benjamin |
---|---|
Abstract | Study Design: Controlled laboratory study. Objective: To evaluate the ability of 3 methods to assess static foot posture to predict rearfoot and midfoot kinematics during gait. Background: Static foot posture is commonly used clinically to infer dynamic function. Limitations of static clinical assessments may be overcome through advances in technologies, including commercially available depth cameras. Methods: The Foot Posture Index (FPI) of 31 males (average age, 22.5 years) was assessed using visual observation, a 3-D motion-analysis system, and a depth camera. Pearson correlations were used to evaluate relationships between FPI items and rearfoot and midfoot kinematics during walking. The ability of the static variables to predict dynamic function was assessed using multiple linear regression. Results: Most FPI items (85%) were not correlated with foot kinematics, regardless of assessment method. There were 6 fair to moderate correlations between visual FPI items and total rearfoot (r = −0.36 to −0.39, P < .05) and midfoot (r = 0.37 to 0.61, P < .05) motion, 2 fair correlations between 3-D motion-analysis FPI items and total midfoot (r = −0.43, P = .02) and peak rearfoot (r = −0.40, P = .03) motion, and 2 fair correlations between the depth-camera FPI items and average rearfoot (r = −0.38 to 0.44, P < .05) motion. Visual assessment of the FPI provided the best prediction model, explaining 37% of the variance in total midfoot inversion/eversion. Conclusion: Static measures of foot posture are weakly correlated with rearfoot or midfoot kinematics, and have limited dynamic prediction ability. Our findings suggest that the FPI may not be an accurate representation of rearfoot or midfoot movement during walking, regardless of the measurement technique employed. |
Year | 2015 |
Journal | Journal of Orthopaedic and Sports Physical Therapy |
Journal citation | 45 (10), pp. 789 - 798 |
ISSN | 0190-6011 |
Digital Object Identifier (DOI) | https://doi.org/10.2519/jospt.2015.5616 |
Page range | 789 - 798 |
Research Group | Sports Performance, Recovery, Injury and New Technologies (SPRINT) Research Centre |
Publisher's version | File Access Level Controlled |
https://acuresearchbank.acu.edu.au/item/8v7vw/predicting-dynamic-foot-function-from-static-foot-posture-comparison-between-visual-assessment-motion-analysis-and-a-commercially-available-depth-camera
Restricted files
Publisher's version
123
total views0
total downloads2
views this month0
downloads this month