Document Detail


Using anthropomorphic avatars resembling sedentary older individuals as models to enhance self-efficacy and adherence to physical activity: psychophysiological correlates.
MedLine Citation:
PMID:  22357026     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The prevalence of obesity and associated health complications are currently at unprecedented levels. Physical activity in this population can improve patient outcomes. Virtual reality (VR) self-modeling may improve self-efficacy and adherence to physical activity. We conducted a comparative study of 30 participants randomized to 3 versions of a 3D avatar-based VR intervention about exercise: virtual representation of the self exercising condition; virtual representation of other person exercising and control condition. Participants in the virtual representation of the self group significantly increased their levels of physical activity. The improvement in physical activity for participants in the visual representation of other person exercising was marginal. The improvement for the control group was not significant. However, the effect sizes for comparing the pre and post intervention physical activity levels were quite large for all three groups. We did not find any group difference in the improvements of physical activity levels and self-efficacy among sedentary, overweight or obese individuals.
Authors:
Jorge G Ruiz; Allen D Andrade; Ramankumar Anam; Rudxandra Aguiar; Huaping Sun; Bernard A Roos
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Publication Detail:
Type:  Comparative Study; Journal Article; Randomized Controlled Trial    
Journal Detail:
Title:  Studies in health technology and informatics     Volume:  173     ISSN:  0926-9630     ISO Abbreviation:  Stud Health Technol Inform     Publication Date:  2012  
Date Detail:
Created Date:  2012-02-23     Completed Date:  2012-05-08     Revised Date:  2012-07-13    
Medline Journal Info:
Nlm Unique ID:  9214582     Medline TA:  Stud Health Technol Inform     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  405-11     Citation Subset:  T    
Affiliation:
Laboratory of E-Learning & Multimedia Research (LEMUR), Geriatric Research, Education, and Clinical Center, Bruce W. Carter VAMC, Miami, Florida 33125, USA. jruiz2@med.miami.edu
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MeSH Terms
Descriptor/Qualifier:
Aged
Anthropometry*
Computer Simulation*
Female
Humans
Male
Middle Aged
Models, Theoretical
Motor Activity*
Pilot Projects
Sedentary Lifestyle*
Self Efficacy*
User-Computer Interface

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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