Journal
AMERICAN JOURNAL OF PHYSICAL MEDICINE & REHABILITATION
Volume 95, Issue 9, Pages 685-691Publisher
LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1097/PHM.0000000000000473
Keywords
Assistive Devices; Dogs; Spinal Cord Injuries; Wheelchair
Categories
Funding
- Consortium for Research Development in Traumatology of the Fonds de Recherche Quebec-Sante (FRQ-S)
- Faculty of Medicine of the Universite de Montreal
- Lindsay Rehabilitation Hospital Foundation
- Canadian Institute of Health Research (CIHR)
- Quebec Rehabilitation Research Network (REPAR)
- Ontario NeuroTrauma Foundation (ONF)
Ask authors/readers for more resources
Objective: The aim of this study was to compare cardiorespiratory demand during manual wheelchair (MWC) propulsion among MWC users with a spinal cord injury (SCI) in a natural environment with and without the use of a trained mobility assistance dog (MAD). Design: In this quasi-experimental repeated-measures analysis of difference, 13 experienced MWC users with an SCI propelled themselves with and without their trained MAD at a self-selected natural speed along a standardized 630-m course in a natural environment. Participants were equipped with a portable gas analyzer to measure their oxygen consumption, ventilation, tidal volume, respiratory quotient, respiratory rate, and heart rate before, during, and after completing the course. Participants also rated their perceived exertion on a modified Borg scale following each trial. Results: All cardiorespiratory outcome measures decreased significantly with the use of a MAD (P <= 0.013; mean difference, -9% to -38%). Furthermore, most participants completed the course significantly faster (P <= 0.001; mean difference, -34%), while reporting considerably lower perceived exertion rates (P = 0.007; mean difference, -65%). Conclusions: A trained MAD decreases cardiorespiratory demand and rate of perceived exertion during MWC propulsion on a 630-m course among experienced MWC users with SCI. Trained MADs represent a valuable mobility assistive technology option for MWC users.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available