Association between Daily Living Walking Speed and Walking Speed in Laboratory Settings in Healthy Older Adults

Bibliographic Data

ID15465705
AuthorsHisashi Kawai (0000-0003-3015-6041, Tokyo Metropolitan Institute of Gerontology, corresponding author), Shuichi Obuchi (0000-0003-0187-9275, Tokyo Metropolitan Institute of Gerontology), Yutaka Watanabe (0000-0002-4983-2399, Hokkaido University), Hirohiko Hirano (0000-0002-8329-7617, Tokyo Metropolitan Institute of Gerontology), Yoshinori Fujiwara (0000-0002-3384-1696, Tokyo Metropolitan Institute of Gerontology), Kazushige Ihara (0000-0003-3190-0290, Hirosaki University), Hunkyung Kim (0000-0003-1614-5477, Tokyo Metropolitan Institute of Gerontology), Yoshiyuki Kobayashi (0000-0001-7941-6575, National Institute of Advanced Industrial Science and Technology), Masaaki Mochimaru (0000-0003-4147-853X, National Institute of Advanced Industrial Science and Technology), Eiki Tsushima (Hirosaki University), Kozo Nakamura (Towa Pharmaceutical (Japan))
Year2020
Volume17
Issue8
Pages2707-2707
Publication date2020-04-15
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph17082707
PMID32326419
OpenAlexW3017048195
LanguageEN
Citations received2
References cited32

Although there is evidence on the predictors of adverse health outcomes in older individuals, walking speed has typically been measured in laboratory settings (LWS); LWS may be distinct from individuals' actual walking speed in their daily lives (DWS). We examined whether DWS differs from LWS among older adults, and its association with physical frailty. Participants were 90 community-dwelling older adults. A five-meter normal (LWS nor ) and maximum (LWS max ) walking speed was measured with a stopwatch. DWS was measured using a global positioning system-related smartphone application for one month during their daily lives. DWS avr , DWS max , and DWS sd were defined as the average, maximum, and standard deviation of walking speed for one month. Participants' mean DWS avr and DWS max were 1.28 m/s and 2.14 m/s, respectively, significantly slower than the mean LWS nor (1.42 m/s) and LWS max (2.24 m/s); the intraclass correlation coefficient between DWS and LWS were 0.188 to 0.341. DWS was significantly correlated with grip strength, one-legged stance, and LWS. The area under the receiver operating characteristic curve of DWS sd concerning pre-frailty was largest among DWSs, at 0.615, while that of LWS nor was 0.643. The findings suggest that DWS differs from LWS and is associated with physical function and pre-frailty

Activities of daily living · Association (psychology · Falls in older adults · Grip strength · Injury prevention · Intraclass correlation · Medical emergency · Physical medicine and rehabilitation · Physical therapy · Poison control · Preferred walking speed · Psychometrics · Standard deviation · Statistics · Stopwatch · Balance, Gait, and Falls Prevention · Demography · Frailty in Older Adults · Mathematics · Medicine · Nutrition and Health in Aging · Psychology · Gerontology