Literature DB >> 20801257

Differences in preferred walking speeds in a gait laboratory compared with the real world after total hip replacement.

Kharma C Foucher1, Laura E Thorp, Diego Orozco, Madelaine Hildebrand, Markus A Wimmer.   

Abstract

OBJECTIVE: To evaluate the relation between walking speeds measured in a gait laboratory and those measured in real-world settings (habitual speed) in subjects with total hip replacements (THRs) and control subjects. The secondary objective is to determine whether the relationship between gait laboratory and habitual speeds was affected by recovery time or related to clinical indices.
DESIGN: Cohort study.
SETTING: Academic medical center. PARTICIPANTS: Experimental subjects (n=26) evaluated 3 weeks and 12 months after THR and control subjects (n=24).
INTERVENTIONS: None. MAIN OUTCOME MEASURES: Walking speed measured in the gait laboratory, walking speed measured in the field by using activity monitors, Harris Hip Score (HHS), and the Western Ontario and McMaster Osteoarthritis Index (WOMAC).
RESULTS: Laboratory speeds were significantly faster than habitual speeds in all groups (P<.001), but the 2 correlated significantly. The laboratory versus habitual-speed difference was unaffected by recovery time within the THR group (P=.180) but was larger for control subjects (.32+/-.21m/s) than for THR subjects (.19+/-.15m/s 1 year after surgery). Habitual speed significantly correlated with total WOMAC scores and with WOMAC stiffness and function subscores 3 weeks after THR. The HHS weakly correlated with 3-week laboratory speed. No speed and clinical correlations were seen 1 year after THR.
CONCLUSIONS: Although subjects may exaggerate walking speeds in laboratory settings, laboratory-based data accurately reflect real-world activity. Setting affected speeds most in the control group. It is important to consider potential discrepancies between speeds walked in a laboratory versus in the real world when interpreting gait studies comparing 2 or more populations. Finally, analysis of these data suggests that clinical indices may more accurately reflect biomechanical function during early recovery after THR than after full recovery.

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Year:  2010        PMID: 20801257     DOI: 10.1016/j.apmr.2010.06.015

Source DB:  PubMed          Journal:  Arch Phys Med Rehabil        ISSN: 0003-9993            Impact factor:   3.966


  3 in total

1.  Are Harris hip scores and gait mechanics related before and after THA?

Authors:  Omar A Behery; Kharma C Foucher
Journal:  Clin Orthop Relat Res       Date:  2014-08-20       Impact factor: 4.176

2.  Sagittal plane gait characteristics in hip osteoarthritis patients with mild to moderate symptoms compared to healthy controls: a cross-sectional study.

Authors:  Ingrid Eitzen; Linda Fernandes; Lars Nordsletten; May Arna Risberg
Journal:  BMC Musculoskelet Disord       Date:  2012-12-20       Impact factor: 2.362

3.  Predicting Health with Function -  How Can Biomechanics "Ride the Tiger"?

Authors:  Tobias Winkler; Georg N Duda
Journal:  J Cachexia Sarcopenia Muscle       Date:  2020-07-16       Impact factor: 12.910

  3 in total

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