Document Type
Article
Publication Date
1-2020
Abstract
Declines in the amount and intensity of natural walking behavior in people with Parkinson disease (PD) may precede declines in motor behavior, gait, and balance. Physical interventions targeting walking behavior in PD may have the greatest impact on slowing the progression of disability. Despite a lack of supporting evidence, however, clinicians may be more likely to rely on quick performance measures of walking speed, capacity, and balance to make inferences about a patient’s walking health, rather than direct measures of natural walking behavior. Our primary purpose, therefore, was to examine the extent to which clinical walking measures might predict natural walking behavior in early to mid-stage PD. Secondarily we sought to explore differences in the predictive capability of clinical measures between relatively less active and more active participants.
Recommended Citation
Cavanaugh, James T.; Colon-Semenza, Cristina; DeAngelis, Tammy; Duncan, Ryan P.; Fulford, Daniel; Hessler, Martha; LaValley, Michael; Nordahl, Timothy; Quintiliani, Lisa; Rawson, Kerri S.; Saint-Hilaire, Marie; Thomas, Cathi A.; Zajac, Jenna A.; Earhart, Gammon M.; and Ellis, Terry D., "Updated Poster Presentation Abstract (n = 58) From 2020 Combined Sections Meeting Of The American Physical Therapy Association: How Well Do Clinical Walking Measures Predict Natural Walking Behavior In Parkinson Disease?" (2020). Physical Therapy Faculty Publications. 4.
https://dune.une.edu/pt_facpubs/4
Original Abstract Submission (n = 28): How Well Do Clinical Walking Measures Predict Natural Walking Behavior In Parkinson Disease?
Comments
The presentation poster for this abstract can be found here:
http://dune.une.edu/pt_facpost/7
This is an updated version (n=58) of the original research abstract (n=28). The original version of this abstract is available as an additional file on this page.