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A. M. Swartz
Researcher at Stanford University
Publications - 12
Citations - 9709
A. M. Swartz is an academic researcher from Stanford University. The author has contributed to research in topics: Medicine & Pedometer. The author has an hindex of 7, co-authored 9 publications receiving 8911 citations. Previous affiliations of A. M. Swartz include College of Health Sciences, Bahrain & University of South Carolina.
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Journal ArticleDOI
Compendium of physical activities: an update of activity codes and MET intensities.
Barbara E. Ainsworth,William L. Haskell,Melicia C. Whitt,Melinda L. Irwin,A. M. Swartz,Scott J. Strath,O'Brien Wl,David R. Bassett,Kathryn H. Schmitz,Patricia O. Emplaincourt,David R. Jacobs,Arthur S. Leon +11 more
TL;DR: An updated version of the Compendium of Physical Activities, a coding scheme that classifies specific physical activity (PA) by rate of energy expenditure, is provided to enhance the comparability of results across studies using self-reports of PA.
Journal ArticleDOI
Guide to the Assessment of Physical Activity: Clinical and Research Applications A Scientific Statement From the American Heart Association
Scott J. Strath,Leonard A. Kaminsky,Barbara E. Ainsworth,Ulf Ekelund,Patty S. Freedson,Rebecca A. Gary,Caroline R. Richardson,Derek T. Smith,A. M. Swartz +8 more
TL;DR: The present scientific statement provides a guide to allow professionals to make a goal-specific selection of a meaningful physical activity assessment method.
Journal ArticleDOI
A Meta-Analysis of Pedometer-Based Walking Interventions and Weight Loss
Caroline R. Richardson,Tiffany L. Newton,Jobby J. Abraham,Ananda Sen,Masahito Jimbo,A. M. Swartz +5 more
TL;DR: Pedometer-based walking programs result in a modest amount of weight loss, but longer programs lead to more weight loss than shorter programs.
Journal ArticleDOI
Comparison of three methods for measuring the time spent in physical activity
Barbara E. Ainsworth,David R. Bassett,Scott J. Strath,A. M. Swartz,O'Brien Wl,Raymond W. Thompson,Deborah A. Jones,Caroline A. Macera,C. D. Kimsey +8 more
TL;DR: Findings were consistent with findings from other PA validation studies that show motion sensors, PA logs, and surveys reflect PA; however, these methods do not always provide similar estimates of the time spent in resting/light, moderate, or hard/very hard PA.
Journal ArticleDOI
Simultaneous heart rate-motion sensor technique to estimate energy expenditure.
TL;DR: The simultaneous HR-motion sensor technique is a good predictor of EE during selected lifestyle activities, and allows researchers to more accurately quantify free-living PA.