Article

Various studies have demonstrated significant as well as
non-significant relationships between static evaluation of foot posture and
injury likelihood. Therefore, the relationship of static and dynamic measures
needs to be established as in clinical settings time consuming dynamic methods
are often not feasible. PURPOSE: Assess reliability of a new method to quantify
midfoot movement and validate the use of Foot Posture Index (FPI) classification
as predictor of dynamic foot function during walking. METHOD: Foot type was
classified using FPI in 280 randomly selected adult participants (mean age 43.4
years). A Video Sequence Analysis (VSA) system was used to quantify midfoot
kinematics during walking. Navicula drop (DeltaNH) and minimal navicula height
(NHL) were compared with FPI. RESULTS: The Intraclass Correlation Coefficients
(ICC) for DeltaNH and NHL ranged from 0.65 to 0.95 with a coefficient of
repeatability of 1.4 mm for DeltaNH and 4.5 mm for NHL. System precision was
estimated at 0.99 mm for DeltaNH and 3.18 mm for NHL. DeltaNH was significantly
positively correlated with FPI scores while NHL decreased with increasing FPI.
However, the FPI model predicted only 13.2% of the variation in DeltaNH and 45%
of the variation in NHL during walking (p<0.001). CONCLUSION: The VSA was proven
as a reliable and precise method to quantify midfoot kinematics. FPI scores and
individual components of the FPI show strong statistical relationships to dynamic
measures but individual predictions remain questionable. Dynamic midfoot measures
are recommended for clinical foot assessments.
FPI - 6

Langue : ANGLAIS