Suzie Mudge1, N Susan Stott. 1. Department of Surgery, University of Auckland, Auckland, New Zealand. s.mudge@auckland.ac.nz
Abstract
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 (rho=0.36-0.48; P<.05), as were most for the RMI (rho=0.31-0.52; P<.05). The 10MWT and 6MWT had moderate to high correlations (rho=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.
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 (rho=0.36-0.48; P<.05), as were most for the RMI (rho=0.31-0.52; P<.05). The 10MWT and 6MWT had moderate to high correlations (rho=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.
Authors: Jody A Feld; Lisa A Zukowski; Annie G Howard; Carol A Giuliani; Lori J P Altmann; Bijan Najafi; Prudence Plummer Journal: Stroke Date: 2018-04-05 Impact factor: 7.914
Authors: Stephen J Halliday; Li Wang; Chang Yu; Brian P Vickers; John H Newman; Richard D Fremont; Luis E Huerta; Evan L Brittain; Anna R Hemnes Journal: Respir Med Date: 2020-03-19 Impact factor: 3.415