Literature DB >> 31133389

Ensuring accurate estimates of step width variability during treadmill walking requires more than 400 consecutive steps.

David M Desmet1, Andrew Sawers1, Mark D Grabiner2.   

Abstract

Falls to the side are associated with significant morbidity, including increased risk of hip and radius fracture. Although step width variability, as measured by standard deviation, has been hypothesized to be associated with falls to the side, there is little supporting evidence. The extent to which such a relationship could be reliably established, however, is dependent on the accuracy with which step width, and thus step width variability, is measured. It has been reported that 400 consecutive steps are required to accurately estimate step width of young adults during treadmill walking. The degree to which this requirement generalizes to other populations has not been determined. Here, a secondary analysis of step width time series data from 19 middle-age women during treadmill walking revealed that 400 steps were insufficient to accurately estimate step width or step width variability for the majority of the women sampled. Patterns observed in the data suggest the potential influence of confounding factors including acclimatization to the task and fatigue during the protocol. The results suggest that the minimum number of steps previously reported as necessary to accurately assess step width and step width variability of young adults during treadmill walking is not valid for middle-age women. Furthermore, the results point to the potential value of reproducing and/or extending the original experiment that established 400 consecutive steps as necessary to accurately estimate step kinematics among young adults.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Aging; Assessment; Falls; Locomotion

Year:  2019        PMID: 31133389     DOI: 10.1016/j.jbiomech.2019.05.003

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  1 in total

Review 1.  Step width variability as a discriminator of age-related gait changes.

Authors:  Andreas Skiadopoulos; Emily E Moore; Harlan R Sayles; Kendra K Schmid; Nicholas Stergiou
Journal:  J Neuroeng Rehabil       Date:  2020-03-05       Impact factor: 4.262

  1 in total

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