96
Views
0
CrossRef citations to date
0
Altmetric
Articles

Assessment of Perceived Discomfort in Older Women with and without Osteoarthritis and Young Women When Reaching for Items on Different Shelf Heights

ORCID Icon, &
Pages 442-459 | Published online: 13 Aug 2022
 

Abstract

Age-related functional decline often leads to reduced reach capabilities. This study investigated the self-perceived discomfort experienced by older women with and without osteoarthritis (OA) and young women while reaching for items on various shelf heights. A simulation of six grocery store shelf heights was created in the laboratory, and a perceived discomfort scale measured the discomfort in selecting products from different heights. A body diagram was used to document discomfort at specific body locations. Results from a 3 (groups-older women with and without OA and young women without OA) × 6 (shelf height conditions) ANOVA indicated that discomfort was lowest for shelf heights ranging from 23.5 to 57.5 inches. Older women had significantly higher discomfort mean scores than young women, but there were no statistically significant differences in perceived discomfort scores between the older women with and without OA. Older women with OA reported maximal discomfort at the shoulder for the highest shelf height (72 inches) and lower back for the lowest shelf (4 inches). Maximum participants reported no discomfort in any body part for shelf heights ranging from 23.5 to 57.5 inches.

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 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 432.00 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.