Literature DB >> 22094550

An instrumented timed up and go: the added value of an accelerometer for identifying fall risk in idiopathic fallers.

A Weiss1, T Herman, M Plotnik, M Brozgol, N Giladi, J M Hausdorff.   

Abstract

The Timed Up and Go (TUG) test is a widely used measure of mobility and fall risk among older adults that is typically scored using a stopwatch. We tested the hypothesis that a body-fixed accelerometer can enhance the ability of the TUG to identify community-living older adults with a relatively high fall risk of unknown origin. Twenty-three community-living elderly fallers (76.0 ± 3.9 years) and 18 healthy controls (68.3 ± 9.1 years) performed the TUG while wearing a 3D-accelerometer on the lower back. Acceleration-derived parameters included Sit-to-Stand and Stand-to-Sit times, amplitude range (Range), and slopes (Jerk). Average step duration, number of steps, average step length, gait speed, acceleration-median, and standard-deviation were also calculated. While the stopwatch-based TUG duration was not significantly different between the groups, acceleration-derived TUG duration was significantly higher (p = 0.007) among the fallers. Fallers generally exhibited lower Range and Jerk (p < 0.01). While TUG stopwatch duration successfully identified 63% of the subjects, an accelerometer-derived three-measure-combination correctly classified 87% of the subjects. Accelerometer-derived measures were generally not correlated with TUG duration. These findings demonstrate that fallers have difficulty with specific TUG aspects that can be quantified using an accelerometer. Without compromising simplicity of testing, an accelerometer can apparently be combined with TUG duration to provide complementary, objective measures that allow for a more complete, sensitive TUG-based fall risk assessment.

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Year:  2011        PMID: 22094550     DOI: 10.1088/0967-3334/32/12/009

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  59 in total

1.  Instrumenting the balance error scoring system for use with patients reporting persistent balance problems after mild traumatic brain injury.

Authors:  Laurie A King; Fay B Horak; Martina Mancini; Donald Pierce; Kelsey C Priest; James Chesnutt; Patrick Sullivan; Julie C Chapman
Journal:  Arch Phys Med Rehabil       Date:  2013-11-05       Impact factor: 3.966

2.  Role of body-worn movement monitor technology for balance and gait rehabilitation.

Authors:  Fay Horak; Laurie King; Martina Mancini
Journal:  Phys Ther       Date:  2014-12-11

3.  Association between performance on Timed Up and Go subtasks and mild cognitive impairment: further insights into the links between cognitive and motor function.

Authors:  Anat Mirelman; Aner Weiss; Aron S Buchman; David A Bennett; Nir Giladi; Jefferey M Hausdorff
Journal:  J Am Geriatr Soc       Date:  2014-03-17       Impact factor: 5.562

Review 4.  Technology-based measurements for screening, monitoring and preventing frailty.

Authors:  L Dasenbrock; A Heinks; M Schwenk; J M Bauer
Journal:  Z Gerontol Geriatr       Date:  2016-09-16       Impact factor: 1.281

Review 5.  ICT technologies as new promising tools for the managing of frailty: a systematic review.

Authors:  Alessia Gallucci; Pietro Davide Trimarchi; Carlo Abbate; Cosimo Tuena; Elisa Pedroli; Fabrizia Lattanzio; Marco Stramba-Badiale; Matteo Cesari; Fabrizio Giunco
Journal:  Aging Clin Exp Res       Date:  2020-07-23       Impact factor: 3.636

Review 6.  Toward Automating Clinical Assessments: A Survey of the Timed Up and Go.

Authors:  Gina Sprint; Diane J Cook; Douglas L Weeks
Journal:  IEEE Rev Biomed Eng       Date:  2015-01-12

7.  Transition Between the Timed up and Go Turn to Sit Subtasks: Is Timing Everything?

Authors:  Aner Weiss; Anat Mirelman; Nir Giladi; Lisa L Barnes; David A Bennett; Aron S Buchman; Jeffrey M Hausdorff
Journal:  J Am Med Dir Assoc       Date:  2016-09-01       Impact factor: 4.669

8.  Identifying axial and cognitive correlates in patients with Parkinson's disease motor subtype using the instrumented Timed Up and Go.

Authors:  Talia Herman; Aner Weiss; Marina Brozgol; Nir Giladi; Jeffrey M Hausdorff
Journal:  Exp Brain Res       Date:  2013-11-30       Impact factor: 1.972

9.  Postural Transitions during Activities of Daily Living Could Identify Frailty Status: Application of Wearable Technology to Identify Frailty during Unsupervised Condition.

Authors:  Saman Parvaneh; Jane Mohler; Nima Toosizadeh; Gurtej Singh Grewal; Bijan Najafi
Journal:  Gerontology       Date:  2017-03-11       Impact factor: 5.140

10.  The transition between turning and sitting in patients with Parkinson's disease: A wearable device detects an unexpected sequence of events.

Authors:  Aner Weiss; Talia Herman; Anat Mirelman; Shirley Shema Shiratzky; Nir Giladi; Lisa L Barnes; David A Bennett; Aron S Buchman; Jeffrey M Hausdorff
Journal:  Gait Posture       Date:  2018-10-21       Impact factor: 2.840

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