Arch Height and First Metatarsal Joint Axis Orientation as Related Variables in Foot Structure and Function

2008 ◽  
Vol 29 (6) ◽  
pp. 647-655 ◽  
Author(s):  
Ward Glasoe ◽  
Fernando Pena ◽  
Vandana Phadke ◽  
Paula M. Ludewig
2007 ◽  
Vol 26 (1) ◽  
pp. 68-75 ◽  
Author(s):  
Genevieve Scott ◽  
Hylton B. Menz ◽  
Lesley Newcombe

2013 ◽  
Vol 15 (4) ◽  
pp. 348-357 ◽  
Author(s):  
P. A. Butterworth ◽  
K. B. Landorf ◽  
W. Gilleard ◽  
D. M. Urquhart ◽  
H. B. Menz

2015 ◽  
Vol 41 (1) ◽  
pp. 86-92 ◽  
Author(s):  
Jinsup Song ◽  
Reagan Kane ◽  
Dana N. Tango ◽  
Stephanie S. Vander Veur ◽  
James Furmato ◽  
...  

2017 ◽  
Vol 16 (6) ◽  
pp. 448-458 ◽  
Author(s):  
Herje Aibast ◽  
Paul Okutoyi ◽  
Timothy Sigei ◽  
Walter Adero ◽  
Danny Chemjor ◽  
...  

2017 ◽  
Vol 33 (3) ◽  
pp. 203-210 ◽  
Author(s):  
Sarah P. Shultz ◽  
Jinsup Song ◽  
Andrew P. Kraszewski ◽  
Jocelyn F. Hafer ◽  
Smita Rao ◽  
...  

It has been suggested that foot type considers not only foot structure (high, normal, low arch), but also function (overpronation, normal, oversupination) and flexibility (reduced, normal, excessive). Therefore, this study used canonical regression analyses to assess which variables of foot structure, function, and flexibility can accurately discriminate between clinical foot type classifications. The feet of 61 asymptomatic, healthy adults (18–77 years) were classified as cavus (N = 24), rectus (N = 54), or planus (N = 44) using standard clinical measures. Custom jigs assessed foot structure and flexibility. Foot function was assessed using an emed-x plantar pressure measuring device. Canonical regression analyses were applied separately to extract essential structure, flexibility, and function variables. A third canonical regression analysis was performed on the extracted variables to identify a combined model. The initial combined model included 30 extracted variables; however 5 terminal variables (malleolar valgus index, arch height index while sitting, first metatarsophalangeal joint laxity while standing, pressure-time integral and maximum contact area of medial arch) were able to correctly predict 80.7% of foot types. These remaining variables focused on specific foot characteristics (hindfoot alignment, arch height, midfoot mechanics, Windlass mechanism) that could be essential to discriminating foot type.


2018 ◽  
Vol 57 (5) ◽  
pp. 876-879 ◽  
Author(s):  
Xiaoguang Zhao ◽  
Takehiko Tsujimoto ◽  
Bokun Kim ◽  
Yasutomi Katayama ◽  
Kiyoji Tanaka

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