Real-world walking in multiple sclerosis: Separating capacity from behavior.

Published

Journal Article

BACKGROUND:Habitual physical activity (HPA) measurement addresses the impact of MS on real-world walking, yet its interpretation is confounded by the competing influences of MS-associated walking capacity and physical activity behaviors. OBJECTIVE:To develop specific measures of MS-associated walking capacity through statistically sophisticated HPA analysis, thereby more precisely defining the real-world impact of disease. METHODS:Eighty-eight MS and 38 control subjects completed timed walks and patient-reported outcomes in clinic, then wore an accelerometer for 7days. HPA was analyzed with several new statistics, including the maximum step rate (MSR) and habitual walking step rate (HWSR), along with conventional methods, including average daily steps. HPA statistics were validated using clinical walking outcomes. RESULTS:The six-minute walk (6MW) step rate correlated most strongly with MSR (r=0.863, p<10-25) and HWSR (r=0.815, p<10-11) rather than average daily steps (r=0.676, p<10-11). The combination of MSR and HWSR correlated more strongly with the 6MW step rate than either measure alone (r=0.884, p<10-14). The MSR overestimated the 6MW step rate (μ=10.4, p<10-7), whereas the HWSR underestimated it (μ=-18.2, p<10-19). CONCLUSIONS:Conventional HPA statistics are poor measures of capacity due to variability in activity behaviors. The MSR and HWSR are valid, specific measures of real-world capacity which capture subjects' highest step rate and preferred step rate, respectively.

Full Text

Duke Authors

Cited Authors

  • Engelhard, MM; Patek, SD; Lach, JC; Goldman, MD

Published Date

  • January 2018

Published In

Volume / Issue

  • 59 /

Start / End Page

  • 211 - 216

PubMed ID

  • 29078135

Pubmed Central ID

  • 29078135

Electronic International Standard Serial Number (EISSN)

  • 1879-2219

International Standard Serial Number (ISSN)

  • 0966-6362

Digital Object Identifier (DOI)

  • 10.1016/j.gaitpost.2017.10.015

Language

  • eng