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Volume 90, Issue 2, Pages 296-301 (February 2009)


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Timed Walking Tests Correlate With Daily Step Activity In Persons With Stroke

Presented in part to the Australian Physiotherapy Association Conference, October 4–6, 2007, Cairns, Australia, and the 5th World Congress for NeuroRehabilitation, September 24–27, 2008, Brasilia, Brazil.

Suzie Mudge, MHScCorresponding Author Informationemail address, N. Susan Stott, PhD

Abstract 

Mudge S, Stott NS. Timed walking tests correlate with daily step activity in persons with stroke.

Objectives

To examine the relationship among 4 clinical measures of walking ability and the outputs of the StepWatch Activity Monitor in participants with stroke.

Design

Correlational study.

Setting

Clinic and participants' usual environments.

Participants

Fifty participants more than 6 months after stroke were recruited. All participants were able to walk independently, but with some residual difficulty.

Interventions

Not applicable.

Main Outcome Measures

Rivermead Mobility Index (RMI), Rivermead Motor Assessment (RMA), six-minute walk test (6MWT), ten-meter walk test (10MWT), StepWatch outputs (based on daily step counts and stepping rates).

Results

The correlations between the RMA and all StepWatch outputs were low (ρ=0.36–0.48; P<.05), as were most for the RMI (ρ=0.31–0.52; P<.05). The 10MWT and 6MWT had moderate to high correlations (ρ=0.51–0.73; P<.01) with most StepWatch outputs. Multiple regression showed that the 6MWT was the only significant predictor for most StepWatch outputs, accounting for between 38% and 54% of the variance. Age and the RMI were further significant predictors of 1 and 2 outputs, respectively.

Conclusions

The 6MWT has the strongest relationship with the StepWatch outputs and may be a better test than the 10MWT to predict usual walking performance. However, it should be remembered that the 6MWT explains only half the variability in usual walking performance. Thus, activity monitoring captures aspects of walking performance not captured by other clinical tests and should be considered as an additional outcome measure in stroke rehabilitation.

Department of Surgery, University of Auckland, Auckland, New Zealand

Corresponding Author InformationReprint requests to Suzie Mudge, MHSc, Department of Surgery, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand

 Supported by a Health Research Council Clinical Training Fellowship (Mudge). Research costs were funded by the Health Research Council (grant no. HRC 06/059) and the Wishbone Trust.

 No commercial party having a direct financial interest in the results of the research supporting this article has or will confer a benefit on the authors or on any organization with which the authors are associated.

PII: S0003-9993(08)01604-3

doi:10.1016/j.apmr.2008.07.025


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