Literature DB >> 32930988

Between-day repeatability of sensor-based in-home gait assessment among older adults: assessing the effect of frailty.

Danya Pradeep Kumar1, Christopher Wendel2, Jane Mohler1,2, Kaveh Laksari1,3, Nima Toosizadeh4,5.   

Abstract

BACKGROUND: While sensor-based daily physical activity (DPA) gait assessment has been demonstrated to be an effective measure of physical frailty and fall-risk, the repeatability of DPA gait parameters between different days of measurement is not clear. AIMS: To evaluate test-retest reliability (repeatability) of DPA gait performance parameters, representing the quality of walking, and quantitative gait measures (e.g. number of steps) between two separate days of assessment among older adults.
METHODS: DPA was acquired for 48-h from older adults (age ≥ 65 years) using a tri-axial accelerometer. Continuous walking bouts (≥ 60 s) were identified from acceleration data and used to extract gait performance parameters, including time- and frequency-domain gait parameters, representing walking speed, variability, and irregularity. To assess repeatability, intraclass correlation coefficient (ICC) was calculated using two-way mixed effects F-test models for day-1 vs. day-2 as the independent random effect. Repeatability tests were performed for all participants and also within frailty groups (non-frail and pre-frail/frail identified using Fried phenotype).
RESULTS: Data was analyzed from 63 older adults (29 non-frail and 34 pre-frail/frail). Most of the time- and frequency-domain gait performance parameters showed good to excellent repeatability (ICC ≥ 0.70), while quantitative parameters, including number of steps and walking duration showed poor repeatability (ICC < 0.30). Among majority of the gait performance parameters, we observed higher repeatability among the pre-frail/frail group (ICC > 0.78) compared to non-frail individuals (0.39 < ICC < 0.55).
CONCLUSION: Gait performance parameters, showed higher repeatability compared to quantitative measures. Higher repeatability among pre-frail/frail individuals may be attributed to a reduced functional capacity for performing more intense and variable physical tasks. TRIAL REGISTRATION: The clinical trial was retrospectively registered on June 18th, 2013 with ClinicalTrials.gov, identifier NCT01880229.

Entities:  

Keywords:  Continuous walking; Daily physical activity; Frailty; Gait performance parameters; Repeatability

Mesh:

Year:  2020        PMID: 32930988     DOI: 10.1007/s40520-020-01686-x

Source DB:  PubMed          Journal:  Aging Clin Exp Res        ISSN: 1594-0667            Impact factor:   3.636


  32 in total

1.  Increased gait unsteadiness in community-dwelling elderly fallers.

Authors:  J M Hausdorff; H K Edelberg; S L Mitchell; A L Goldberger; J Y Wei
Journal:  Arch Phys Med Rehabil       Date:  1997-03       Impact factor: 3.966

2.  Reliability of the walking speed and gait dynamics variables while walking on a feedback-controlled treadmill.

Authors:  Jin-Seung Choi; Dong-Won Kang; Jeong-Woo Seo; Gye-Rae Tack
Journal:  J Biomech       Date:  2015-03-11       Impact factor: 2.712

Review 3.  The Frailty syndrome: clinical measurements and basic underpinnings in humans and animals.

Authors:  M Jane Mohler; Mindy J Fain; Anne M Wertheimer; Bijan Najafi; Janko Nikolich-Žugich
Journal:  Exp Gerontol       Date:  2014-02-04       Impact factor: 4.032

4.  Motor Performance and Physical Activity as Predictors of Prospective Falls in Community-Dwelling Older Adults by Frailty Level: Application of Wearable Technology.

Authors:  M Jane Mohler; Christopher S Wendel; Ruth E Taylor-Piliae; Nima Toosizadeh; Bijan Najafi
Journal:  Gerontology       Date:  2016-04-30       Impact factor: 5.140

5.  Gait variability and fall risk in community-living older adults: a 1-year prospective study.

Authors:  J M Hausdorff; D A Rios; H K Edelberg
Journal:  Arch Phys Med Rehabil       Date:  2001-08       Impact factor: 3.966

6.  Wearable sensor-based in-home assessment of gait, balance, and physical activity for discrimination of frailty status: baseline results of the Arizona frailty cohort study.

Authors:  Michael Schwenk; Jane Mohler; Christopher Wendel; Karen D'Huyvetter; Mindy Fain; Ruth Taylor-Piliae; Bijan Najafi
Journal:  Gerontology       Date:  2014-12-24       Impact factor: 5.140

7.  Influence of executive function on locomotor function: divided attention increases gait variability in Alzheimer's disease.

Authors:  Pamela L Sheridan; Judi Solomont; Neil Kowall; Jeffrey M Hausdorff
Journal:  J Am Geriatr Soc       Date:  2003-11       Impact factor: 5.562

8.  Multi-resolution entropy analysis of gait symmetry in neurological degenerative diseases and amyotrophic lateral sclerosis.

Authors:  Fuyuan Liao; Jue Wang; Ping He
Journal:  Med Eng Phys       Date:  2007-06-13       Impact factor: 2.242

9.  Gait stability and variability measures show effects of impaired cognition and dual tasking in frail people.

Authors:  Claudine J Lamoth; Floor J van Deudekom; Jos P van Campen; Bregje A Appels; Oscar J de Vries; Mirjam Pijnappels
Journal:  J Neuroeng Rehabil       Date:  2011-01-17       Impact factor: 4.262

10.  Sensor-based characterization of daily walking: a new paradigm in pre-frailty/frailty assessment.

Authors:  Danya Pradeep Kumar; Nima Toosizadeh; Jane Mohler; Hossein Ehsani; Cassidy Mannier; Kaveh Laksari
Journal:  BMC Geriatr       Date:  2020-05-06       Impact factor: 3.921

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