Publication Cover
Assistive Technology
The Official Journal of RESNA
Volume 21, 2009 - Issue 4
196
Views
6
CrossRef citations to date
0
Altmetric
Original Articles

Evaluation of Gait Characteristics and Ground Reaction Forces in Cognitively Declined Older Adults With an Emphasis on Slip-Induced Falls

, , &
Pages 188-195 | Published online: 13 Nov 2009
 

ABSTRACT

The objective of the present study was to evaluate the relationship between gait adaptation and slip/fall risk of older adults with cognitive impairments. The study investigated the gait characteristics of six healthy older adults and five older adults with dementia. Participants walked on an instrumented walkway at their preferred walking speeds. After ensuring that the preferred walking speeds were consistent, participants' natural posture and ground reaction forces were measured. The results suggested that participants with dementia walked more cautiously yet demanded more friction at the shoe/floor interface at the time of heel contact, increasing the risk of slip initiation. To reduce the risk of slip-induced falls among older adults with dementia, specific gait training to reduce friction demand requirements by increasing the transfer speed of the whole body mass is suggested.

ACKNOWLEDGMENT

The authors want to express sincere gratitude to the study participants and to the social workers in adult day care at Virginia Tech for their assistance in this study.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 95.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.