Article

A number of instrumented and non-instrumented measures are used to detect balance
deficits associated with functional ankle instability (FAI). Determining outcome
measures that detect balance deficits associated with FAI might assist clinicians
in identifying impairments that may otherwise go undetected with less responsive
balance measures. Thus, our objective was to determine the balance measure that
best predicted ankle group membership (FAI or stable ankle). Participants
included 17 subjects without a history of ankle sprains (168+/-9 cm, 66+/-14 kg,
24+/-5 yr) and 17 subjects with FAI (172+/-9 cm, 71+/-11 kg, 22+/-3 yr). Balance
trials were performed without vision and subjects stood on a single leg as
motionless as possible for 20s. Balance was quantified with center-of-pressure
measures (velocity, area) and error score. Measures were positively correlated
with each other (r range: 0.60-0.76). The multifactorial model with all three
measures best predicted group membership (F((3,30))=7.20, P=0.001; R(2)=0.42;
percent classified correctly=77%), and was followed by the multifactorial model
with resultant center-of-pressure velocity and error score (F((2,31))=8.73,
P=0.001; R(2)=0.36; percent classified correctly=74%). The resultant
center-of-pressure velocity (F((1,32))=13.46, P=0.001; R(2)=0.30; percent
classified correctly=74%; unique variance=12.7%) and error score
(F((1,32))=12.51, P=0.001; R(2)=0.28; percent classified correctly=71%; unique
variance=12.0%) predicted group membership; however, 95th percentile
center-of-pressure area ellipse did not (F((1,32))=4.16, P=0.05; R(2)=0.12;
percent classified correctly=65%; unique variance=5.8%). A multifactorial single
leg balance assessment is best for predicting group membership. COPV is the best
single predictor of group membership, but clinicians may use error score to
identify deficits associated with FAI if force plates are not available.
CI - Copyright (c) 2011 Elsevier B.V. All rights reserved.

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