To unlock this feature and to subscribe to our weekly evidence emails, please create a FREE orthoEvidence account.

SIGNUP

Already Have an Account?

Loading...
Visit our Evidence-Based Covid-19 Website and Stay Up to Date with the latest Research.
Ace Report Cover

OARSI 2016: Home-based exercise program associated with decreased risk of falls in knee OA

Download
Share
Reprints
Cite This
About
+ Favorites
Share
Reprints
Cite This
About
+ Favorites
Ace Report Cover
April 2016

OARSI 2016: Home-based exercise program associated with decreased risk of falls in knee OA

Vol: 5| Issue: 4| Number:12| ISSN#: 2564-2537
Study Type:Therapy
OE Level Evidence:N/A
Journal Level of Evidence:N/A

Effect of the Otago exercises on postural balance and fear of falling among older fallers with knee osteoarthritis

Contributing Authors:
S Mat CT Ng MP Tan

Did you know you're eligible to earn 0.5 CME credits for reading this report? Click Here

CONFERENCE ACE REPORTS

This ACE Report is a summary of a conference presentation or abstract. The information provided has limited the ability to provide an accurate assessment of the risk of bias or the overall quality. Please interpret the results with caution as trials may be in progress and select results may have been presented.

Synopsis

41 elderly patients originally randomized to knee OA treatment of either an individualized Otago exercise program or standard treatment were included in this subgroup analysis. The purpose of this analysis was to determine whether exercise was associated with significantly improved risk of fall, postural balance and fear of falling outcomes after 6 months. Results indicated that patients allocated...

CME Image

Did you know that you’re eligible to earn 0.5 CME credits for reading this report!

LEARN MORE

Join the Conversation

Please Login or Join to leave comments.

Learn about our AI Driven
High Impact Search Feature

High Impact Icon

Our AI driven High Impact metric calculates the impact an article will have by considering both the publishing journal and the content of the article itself. Built using the latest advances in natural language processing, OE High Impact predicts an article’s future number of citations better than impact factor alone.

Continue