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Journal Article

Citation

Lindemann U, Rapp K, Becker C. Aging Clin. Exp. Res. 2019; ePub(ePub): ePub.

Affiliation

Department of Geriatrics and Clinic for Geriatric Rehabilitation, Robert-Bosch-Hospital Stuttgart, Auerbachstr. 110, 70376, Stuttgart, Germany.

Copyright

(Copyright © 2019, Holtzbrinck Springer Nature Publishing Group)

DOI

10.1007/s40520-019-01332-1

PMID

31486995

Abstract

The aim of this study was to develop a simple visualized approach to classify persons into meaningful gait speed categories. Footprints of 310 instrumented gait analyses of 190 geriatric persons (mean age 79.1 years, 74 women) were used in a retrospective analysis to classify persons´ footprints into a left/right step overlapping, an intermediate or a long stepping pattern. The association between gait speed and step length was r = 0.91. More than 75% of the measurements classified as overlapping stepping pattern had a gait speed of below 0.5 m/s. All participants of the long stepping pattern group had a gait speed of faster than 1 m/s. The positive predictive values for classifying gait speed correctly were 71-100%. The proposed screening tool can be used in outpatient settings or home visits and is likely to be applicable if instrumented gait speed assessment is not available.


Language: en

Keywords

Gait speed; Older persons; Stepping pattern; Visual inspection

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