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 |
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| Affiliation: | 1. Department of Biomedical Science and Technology, College of Medicine, East-West Medical Research Institute, Kyung Hee University, Seoul, Republic of Korea;2. Department of Family Medicine, College of Medicine, Kyung Hee University, Seoul, Republic of Korea;1. Ufuk University Faculty of Medicine, Department of Physical Medicine and Rehabilitation, Ankara, Turkey;2. Ankara Physical Medicine and Rehabilitation Training and Research Hospital, Department of Physical Medicine and Rehabilitation, Ankara, Turkey;1. Erasmus University, Erasmus School of Health Policy and Management, P.O. Box 1738, 3000 DR Rotterdam, the Netherlands;2. Amsterdam Public Health Research Institute and Department of Epidemiology and Biostatistics, VU University Medical Centre, De Boelelaan 1117, 1081 HV Amsterdam, the Netherlands;1. University of Utah College of Nursing, Salt Lake City, UT, United States;2. University of Utah Department of Psychology, Salt Lake City, UT, United States;3. School of Nursing, University of Wisconsin-Madison, 701 Highland Ave., Madiosn, WI, 53705, United States;1. Department of Geriatric Research, AGAPLESION Bethanien Hospital Heidelberg, Geriatric Center at the Heidelberg University, Rohrbacher Str. 149, 69126 Heidelberg, Germany;2. Department of Health and Social Affairs, FHM Bielefeld, University of Applied Science, Ravensberger Str. 10G, 33602 Bielefeld, Germany;3. Center of Geriatric Medicine, Heidelberg University, Heidelberg, Germany;1. Department of Medicine, Graduate school, Kyung Hee University, Seoul, Republic of Korea;2. College of Medicine/East-West Medical Research Institute, Kyung Hee University, Seoul, Republic of Korea;3. Elderly Frailty Research Center, Department of Family Medicine, College of Medicine, Kyung Hee University, Seoul, Republic of Korea |
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| Abstract: | AimThis 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.MethodsA 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.ResultsThere 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.ConclusionsThe 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. |
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| Keywords: | Aging Gait speed Mobility Slowness Testing protocol |
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