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Identification of key outcome measures when using the instrumented timed up and go and /or posturography for fall screening

SAMPLE RB; KINNEY AL; JACKSON K; DIESTELKAMP W; BIGELOW KE
GAIT POSTURE , 2017, vol. 57, p. 168-171
Doc n°: 185716
Localisation : Documentation IRR

D.O.I. : http://dx.doi.org/DOI:10.1016/j.gaitpost.2017.06.007
Descripteurs : DF11 - POSTURE. STATION DEBOUT

The Timed Up and Go (TUG) has been commonly used for fall risk assessment. The
instrumented Timed Up and Go (iTUG) adds wearable sensors to capture
sub-movements and may be more sensitive. Posturography assessments have also been
used for determining fall risk. This study used stepwise logistic regression
models to identify key outcome measures for the iTUG and posturography protocols.
The effectiveness of the models containing these measures in differentiating
fallers from non-fallers were then compared for each: iTUG total time duration
only, iTUG, posturography, and combined iTUG and posturography assessments. One
hundred and fifty older adults participated in this study. The iTUG measures were
calculated utilizing APDM Inc.'s Mobility Lab software. Traditional and
non-linear posturography measures were calculated from center of pressure during
quiet-standing. The key outcome measures incorporated in the iTUG assessment
model (sit-to-stand lean angle and height) resulted in a model sensitivity of
48.1% and max re-scaled R(2) value of 0.19. This was a higher sensitivity,
indicating better differentiation, compared to the model only including total
time duration (outcome of the traditional TUG), which had a sensitivity of 18.2%.
When the key outcome measures of the iTUG and the posturography assessments were
combined into a single model, the sensitivity was approximately the same as the
iTUG model alone. Overall the findings of this study support that the iTUG
demonstrates greater sensitivity than the total time duration, but that carrying
out both iTUG and posturography does not greatly improve sensitivity when used as
a fall risk screening tool.
CI - Copyright (c) 2017 Elsevier B.V. All rights reserved.

Langue : ANGLAIS

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