Document Detail


Using the SenseCam to Improve Classifications of Sedentary Behavior in Free-Living Settings.
MedLine Citation:
PMID:  23415127     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
BACKGROUND: Studies have shown relationships between important health outcomes and sedentary behavior, independent of physical activity. There are known errors in tools employed to assess sedentary behavior. Studies of accelerometers have been limited to laboratory environments.
PURPOSE: To assess a broad range of sedentary behaviors in free-living adults using accelerometers and a Microsoft SenseCam that can provide an objective observation of sedentary behaviors through first person-view images.
METHODS: Participants were 40 university employees who wore a SenseCam and Actigraph accelerometer for 3-5 days. Images were coded for sitting and standing posture and 12 activity types. Data were merged and aggregated to a 60-second epoch. Accelerometer counts per minute (cpm) of <100 were compared with coded behaviors. Sensitivity and specificity analyses were performed. Data were collected in June and July 2011 and analyzed in April 2012.
RESULTS: TV viewing, other screen use, and administrative activities were correctly classified by the 100-cpm cutpoint. However, standing behaviors also fell under this threshold, and driving behaviors exceeded it. Multiple behaviors occurred simultaneously. A nearly 30-minute per day difference was found in sedentary behavior estimates based on the accelerometer versus the SenseCam.
CONCLUSIONS: Researchers should be aware of the strengths and weaknesses of the 100-cpm accelerometer cutpoint for identifying sedentary behavior. The SenseCam may be a useful tool in free-living conditions to better understand health behaviors such as sitting.
Authors:
Jacqueline Kerr; Simon J Marshall; Suneeta Godbole; Jacqueline Chen; Amanda Legge; Aiden R Doherty; Paul Kelly; Melody Oliver; Hannah M Badland; Charlie Foster
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  American journal of preventive medicine     Volume:  44     ISSN:  1873-2607     ISO Abbreviation:  Am J Prev Med     Publication Date:  2013 Mar 
Date Detail:
Created Date:  2013-02-18     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8704773     Medline TA:  Am J Prev Med     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  290-6     Citation Subset:  IM    
Copyright Information:
Copyright © 2013 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.
Affiliation:
Department of Family and Preventive Medicine, University of California San Diego, La Jolla, California. Electronic address: jkerr@ucsd.edu.
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