Literature DB >> 15111081

Step width variability, but not step length variability or step time variability, discriminates gait of healthy young and older adults during treadmill locomotion.

Tammy M Owings1, Mark D Grabiner.   

Abstract

The variability of spatial and temporal step kinematics have separately been shown to prospectively predict falls by older adults. However, the published literature has not addressed the relative importance of the information related to locomotion control contributed by variability of spatial variables, temporal variables, or both. We conducted a post hoc analysis to determine the extent to which the variability of spatial and temporal step kinematics are independent descriptors of locomotion control in healthy young and older adults. A second purpose of the analysis was to establish the extent to which treadmill walking mimics overground walking using a benchmark for step kinematics. Eighteen young adults and 12 older adults walked at a self-selected velocity on an instrumented treadmill from which step length variability, step width variability and step time variability were computed. Stepwise discriminant analysis correctly classified group membership of 70 percent of the 30 subjects (i.e., young or older adult) using only step width variability (p=0.037, Wilk's lamda=0.854). Step width variability was 70+/-57 percent larger than step length variability (p<0.001). This relationship was similar to that of the benchmark established for overground locomotion. The results suggest that for healthy younger and older adults step width variability is a more meaningful descriptor of locomotion control than step length variability and step time variability. Given the potential clinical impact, further systematic study and improvement of the methods and technology for acquiring step kinematic data are warranted.

Mesh:

Year:  2004        PMID: 15111081     DOI: 10.1016/j.jbiomech.2003.11.012

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


  80 in total

1.  Gait adaptations in response to perturbations in adults with Down syndrome.

Authors:  Beth A Smith; James A Ashton-Miller; Beverly D Ulrich
Journal:  Gait Posture       Date:  2010-05-07       Impact factor: 2.840

2.  Motor-equivalent covariation stabilizes step parameters and center of mass position during treadmill walking.

Authors:  Julius Verrel; Martin Lövdén; Ulman Lindenberger
Journal:  Exp Brain Res       Date:  2010-09-23       Impact factor: 1.972

3.  Effects of obesity on slip-induced fall risks among young male adults.

Authors:  Xuefang Wu; Thurmon E Lockhart; Han T Yeoh
Journal:  J Biomech       Date:  2012-02-02       Impact factor: 2.712

4.  A direct comparison of local dynamic stability during unperturbed standing and walking.

Authors:  Hyun Gu Kang; Jonathan B Dingwell
Journal:  Exp Brain Res       Date:  2006-01-24       Impact factor: 1.972

5.  Changes in step variability of new walkers with typical development and with Down syndrome.

Authors:  Julia Looper; Jianhua Wu; Rosa Angulo Barroso; Dale Ulrich; Beverly D Ulrich
Journal:  J Mot Behav       Date:  2006-09       Impact factor: 1.328

6.  Patients with Chronic Obstructive Pulmonary Disease Walk with Altered Step Time and Step Width Variability as Compared with Healthy Control Subjects.

Authors:  Jennifer M Yentes; Stephen I Rennard; Kendra K Schmid; Daniel Blanke; Nicholas Stergiou
Journal:  Ann Am Thorac Soc       Date:  2017-06

7.  Use of stance time variability for predicting mobility disability in community-dwelling older persons: a prospective study.

Authors:  Jennifer S Brach; David Wert; Jessie M VanSwearingen; Anne B Newman; Stephanie A Studenski
Journal:  J Geriatr Phys Ther       Date:  2012 Jul-Sep       Impact factor: 3.381

8.  Stance time and step width variability have unique contributing impairments in older persons.

Authors:  Jennifer S Brach; Stephanie Studenski; Subashan Perera; Jessie M VanSwearingen; Anne B Newman
Journal:  Gait Posture       Date:  2007-07-13       Impact factor: 2.840

Review 9.  Using dynamic walking models to identify factors that contribute to increased risk of falling in older adults.

Authors:  Paulien E Roos; Jonathan B Dingwell
Journal:  Hum Mov Sci       Date:  2013-10-10       Impact factor: 2.161

10.  Bimanual load carriage alters sway patterns and step width.

Authors:  Sidney T Baudendistel; Terry L Grindstaff; Adam B Rosen; Jennifer M Yentes
Journal:  Appl Ergon       Date:  2020-01-10       Impact factor: 3.661

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