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The purpose of the present study was to compare kinematics measured by two multisegment foot models in high- and low-arched individuals.
Ten high-arched and ten low-arched women were included in this study from a larger study of healthy recreational athletes.
Arch type was defined based on arch index measurements taken during bilateral standing.
All of the participants were free of major lower-extremity injury for the 6 months before participation in the present study.
After collecting anthropometric data, each participant performed five trials of barefoot walking and running at a self-selected speed.
Three-dimensional kinematic and ground reaction force data were collected simultaneously.
Two multisegment foot models were used in the present study – the Leardini and Oxford multisegment foot models.
The Leardini model defines the shank, rearfoot, midfoot, and forefoot segments, and the Oxford model defines the shank, rearfoot, and forefoot segments.
The multisegment foot kinematics reveal that the Leardini and Oxford models detected that high-arched athletes had significantly smaller peak ankle eversion angles than low-arched athletes during walking and running.
Neither the Oxford nor the Leardini model detected differences in eversion excursions between high- and low-arched athletes during the running movement.
During walking and running, the Leardini model was more sensitive to differences in peak eversion angles compared with the Oxford multisegment foot model.
The Oxford multisegment foot model was shown to be more sensitive to differences in ranges of motion measured by excursions during the walking task.
The Leardini model detected differences in peak joint angles in the frontal plane between high- and low-arched athletes, and the Oxford model found differences in frontal plane excursion values between high- and low-arched athletes.
The authors concluded that care should be taken in the interpretation and comparison of data collected using a multisegment foot model as different models may not provide similar findings in a given data set.
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