Literature DB >> 25035185

Evidence for joint moment asymmetry in healthy populations during gait.

Rebecca L Lathrop-Lambach1, Jessica L Asay2, Steve T Jamison3, Xueliang Pan4, Laura C Schmitt5, Katerina Blazek2, Robert A Siston6, Thomas P Andriacchi7, Ajit M W Chaudhari8.   

Abstract

The purpose of this study was to determine the presence and prevalence of asymmetry in lower extremity joint moments within and across healthy populations during overground walking. Bilateral gait data from several studies performed at two institutions were pooled from 182 healthy, pain-free subjects. Four distinct populations were identified based on age, activity level and body mass index. Mean peak external joint moments were calculated from three to six trials of level overground walking at self-selected speed for each subject. Right and left limb moments were reclassified as "greater" or "lesser" moment for each subject to prevent obscuring absolute asymmetry due to averaging over positive and negative asymmetries across subjects. A clinically relevant asymmetry measure was calculated from the peak joint moments with an initial chosen cutoff value of 10%. Confidence intervals for the proportion of subjects with greater than 10% asymmetry between limbs were estimated based on the binomial distribution. We found a high amount of asymmetry between the limbs in healthy populations. More than half of our overall population exceeded 10% asymmetry in peak hip and knee flexion and adduction moments. Group medians exceeded 10% asymmetry for all variables in all populations. This may have important implications on gait evaluations, particularly clinical evaluations or research studies where asymmetry is used as an outcome. Additional research is necessary to determine acceptable levels of joint moment asymmetry during gait and to determine whether asymmetrical joint moments influence the development of symptomatic pathology or success of lower extremity rehabilitation.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Gait analysis; Joint mechanics; Rehabilitation

Mesh:

Year:  2014        PMID: 25035185      PMCID: PMC4267535          DOI: 10.1016/j.gaitpost.2014.06.010

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


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