Literature DB >> 22254986

An instrumented sit-to-stand test used to examine differences between older fallers and non-fallers.

Emer P Doheny1, Chie Wei Fan, Timothy Foran, Barry R Greene, Clodagh Cunningham, Rose Anne Kenny.   

Abstract

An instrumented version of the five-times-sit-to-stand test was performed in the homes of a group of older adults, categorised as fallers or non-fallers. Tri-axial accelerometers were secured to the sternum and anterior thigh of each participant during the assessment. Accelerometer data were then used to examine the timing of the movement, as well as the root mean squared amplitude, jerk and spectral edge frequency of the mediolateral (ML) acceleration during the total assessment, each sit-stand-sit component and each postural transition (sit-stand and stand-sit). Differences between fallers and non-fallers were examined for each parameter. Six parameters significantly discriminated between fallers and non-fallers: sit-stand time, ML acceleration for the total assessment, and the ML spectral edge frequency for the complete assessment, individual sit-stand-sit components, as well as sit-stand and stand-sit transitions. These results suggest that each of these derived parameters would provide improved discrimination of fallers from non-fallers, for the cohort examined, than the standard clinical measure - the total time to complete the assessment. These results indicate that accelerometry may enhance the utility of the five-times-sit-to-stand test when assessing falls risk.

Entities:  

Mesh:

Year:  2011        PMID: 22254986     DOI: 10.1109/IEMBS.2011.6090837

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  18 in total

1.  Accelerometry-based prediction of movement dynamics for balance monitoring.

Authors:  Valeria Lucia Fuschillo; Fabio Bagalà; Lorenzo Chiari; Angelo Cappello
Journal:  Med Biol Eng Comput       Date:  2012-07-18       Impact factor: 2.602

2.  Different Combinations of Mobility Metrics Derived From a Wearable Sensor Are Associated With Distinct Health Outcomes in Older Adults.

Authors:  Aron S Buchman; Robert J Dawe; Sue E Leurgans; Thomas A Curran; Timothy Truty; Lei Yu; Lisa L Barnes; Jeffrey M Hausdorff; David A Bennett
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2020-05-22       Impact factor: 6.591

3.  An evaluation of the 30-s chair stand test in older adults: frailty detection based on kinematic parameters from a single inertial unit.

Authors:  Nora Millor; Pablo Lecumberri; Marisol Gómez; Alicia Martínez-Ramírez; Mikel Izquierdo
Journal:  J Neuroeng Rehabil       Date:  2013-08-01       Impact factor: 4.262

4.  Instrumenting gait with an accelerometer: a system and algorithm examination.

Authors:  A Godfrey; S Del Din; G Barry; J C Mathers; L Rochester
Journal:  Med Eng Phys       Date:  2015-03-04       Impact factor: 2.242

5.  Observational Study of a Wearable Sensor and Smartphone Application Supporting Unsupervised Exercises to Assess Pain and Stiffness.

Authors:  Caroline G M Perraudin; Vittorio P Illiano; Francesc Calvo; Emer O'Hare; Seamas C Donnelly; Ronan H Mullan; Oliver Sander; Brian Caulfield; Jonas F Dorn
Journal:  Digit Biomark       Date:  2018-10-23

6.  Review: Are we stumbling in our quest to find the best predictor? Over-optimism in sensor-based models for predicting falls in older adults.

Authors:  Tal Shany; Kejia Wang; Ying Liu; Nigel H Lovell; Stephen J Redmond
Journal:  Healthc Technol Lett       Date:  2015-08-03

7.  Muscular Activity and Fatigue in Lower-Limb and Trunk Muscles during Different Sit-To-Stand Tests.

Authors:  Cristina Roldán-Jiménez; Paul Bennett; Antonio I Cuesta-Vargas
Journal:  PLoS One       Date:  2015-10-27       Impact factor: 3.240

Review 8.  Review of fall risk assessment in geriatric populations using inertial sensors.

Authors:  Jennifer Howcroft; Jonathan Kofman; Edward D Lemaire
Journal:  J Neuroeng Rehabil       Date:  2013-08-08       Impact factor: 4.262

9.  Using a body-fixed sensor to identify subclinical gait difficulties in older adults with IADL disability: maximizing the output of the timed up and go.

Authors:  Aner Weiss; Anat Mirelman; Aron S Buchman; David A Bennett; Jeffrey M Hausdorff
Journal:  PLoS One       Date:  2013-07-29       Impact factor: 3.240

10.  Associations between quantitative mobility measures derived from components of conventional mobility testing and Parkinsonian gait in older adults.

Authors:  Aron S Buchman; Sue E Leurgans; Aner Weiss; Veronique Vanderhorst; Anat Mirelman; Robert Dawe; Lisa L Barnes; Robert S Wilson; Jeffrey M Hausdorff; David A Bennett
Journal:  PLoS One       Date:  2014-01-22       Impact factor: 3.240

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