Journal Home
Search for

Volume 90, Issue 7, Pages 1073-1075 (July 2009)


View previous. 5 of 33 View next.

On “Impact of Surface Type, Wheelchair Weight, and Axle Position on Wheelchair Propulsion by Novice Older Adults”

Stephen Sprigle, PhD, PTCorresponding Author Informationemail address

Refers to article:
Impact of Surface Type, Wheelchair Weight, and Axle Position on Wheelchair Propulsion by Novice Older Adults
Rachel E. Cowan, Mark S. Nash, Jennifer L. Collinger, Alicia M. Koontz, Michael L. Boninger
Archives of Physical Medicine and Rehabilitation
July 2009 (Vol. 90, Issue 7, Pages 1076-1083)
Abstract | Full Text | Full-Text PDF (243 KB)

Abstract 

Sprigle S. On “Impact of surface type, wheelchair weight, and axle position on wheelchair propulsion by novice older adults.”

The mechanical efficiency of propelling manual wheelchairs is a very important topic. Wheelchair users, clinicians, manufacturers and payers would all benefit from better understanding of mechanical efficiency. However, the measurement of the mechanical efficiency is a nontrivial challenge. Cowan et al deserve a lot of credit for tackling such a difficult problem in their article “Impact of surface type, wheelchair weight, and axle position on wheelchair propulsion by novice older adults.”

The study demonstrated good internal validity in detecting a 4% difference in peak propulsion forces in wheelchairs that differed in mass by 9.1kg. However, the instrumentation used to measure forces altered both the mass and inertia of the wheelchair-occupant system—2 factors that directly affect system energy. This approach, therefore, affects external validity, and the results cannot be extended to infer differences across wheelchair codes. That said, this study adds important information to the body of work into mechanical efficiency of wheelchairs. We now have evidence to suggest that addition of 9kg and an 8cm posterior displacement of axle position adversely affects propulsion biomechanics in an elderly cohort. Improved methodology can lead to mechanical efficiency measurement of different wheelchair models and different wheelchair options.

List of AbbreviationsANOVA, analysis of variance, KE, kinetic energy

School of Applied Physiology and the Industrial Design Program, Georgia Institute of Technology, Atlanta, GA

Corresponding Author InformationCorrespondence to Stephen Sprigle, PhD, PT, School of Applied Physiology, Georgia Institute of Technology, 490 10th St, NW, Atlanta, GA 30332-0156

 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 author or on any organization with which the author is associated.

 Reprints are not available from the author.

PII: S0003-9993(09)00279-2

doi:10.1016/j.apmr.2009.04.002


View previous. 5 of 33 View next.