Literature DB >> 30623866

Combinations of gait speed testing protocols (automatic vs manual timer, dynamic vs static start) can significantly influence the prevalence of slowness: Results from the Korean Frailty and Aging Cohort Study.

Miji Kim1, Chang Won Won2.   

Abstract

AIM: This study aimed to compare 4-m usual gait speed obtained with different protocols and to determine the prevalence of slowness using different diagnostic criteria in a large cohort of community-dwelling older adults.
METHODS: A total of 1177 non-disabled community-dwelling older adults aged 70-84 years were assessed for 4-m usual gait speed using four different testing protocols: (1) automatic timer (ultrasonic sensor), dynamic start; (2) manual timer (stopwatch), dynamic start; (3) automatic timer, static start; and (4) manual timer, static start. To assess agreement between usual gait speed and the testing protocols, linear regression and Bland-Altman analyses were performed.
RESULTS: There was systematic bias (i.e., difference between automatic timer and manual timer methods), with underestimation of usual gait speed (bias 0.0695 m/s for dynamic start; bias 0.0702 m/s for static start) by the manual timer. There was systematic bias in start conditions, with underestimation of usual gait speed with a static start using both timer methods, compared with that in dynamic start assessment (P < 0.001). The prevalence of slowness ranged from 2.3 to 4.7% in men and 5.9-11.1% in women for <0.80 m/s, and from 17.1 to 30.5% in men and 26.3-45.9% in women for <1.00 m/s.
CONCLUSIONS: The findings of this study indicated that 4-m usual gait speed measured under different testing protocols was able to determine different prevalence rates of slowness among non-disabled community-dwelling older adults. An automatic timer may be useful for measuring gait speed changes in individuals likely to have faster gait speed in community-based research settings.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Aging; Gait speed; Mobility; Slowness; Testing protocol

Year:  2018        PMID: 30623866     DOI: 10.1016/j.archger.2018.12.009

Source DB:  PubMed          Journal:  Arch Gerontol Geriatr        ISSN: 0167-4943            Impact factor:   3.250


  4 in total

1.  An Optimal Questionnaire Representing Slow Gait Speed(<1m/s) in Community-dwelling Older Adults: The Korean Frailty and Aging Cohort Study (KFACS).

Authors:  S Lee; S Kim; M Kim; J Yoo; B Kim; M Yoo; C W Won
Journal:  J Nutr Health Aging       Date:  2019       Impact factor: 4.075

2.  Cross-Comparisons of Gait Speeds by Automatic Sensors and a Stopwatch to Provide Converting Formula Between Measuring Modalities.

Authors:  Hee-Won Jung; Hyun-Chul Roh; Sun-Wook Kim; Sunyoung Kim; Miji Kim; Chang Won Won
Journal:  Ann Geriatr Med Res       Date:  2019-06-30

3.  Effect of testing procedures on gait speed measurement: A systematic review.

Authors:  Anna K Stuck; Madeleine Bachmann; Pia Füllemann; Karen R Josephson; Andreas E Stuck
Journal:  PLoS One       Date:  2020-06-01       Impact factor: 3.240

Review 4.  Is It Time We Better Understood the Tests We are Using for Return to Sport Decision Making Following ACL Reconstruction? A Critical Review of the Hop Tests.

Authors:  William T Davies; Gregory D Myer; Paul J Read
Journal:  Sports Med       Date:  2020-03       Impact factor: 11.136

  4 in total

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