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Patty S. Freedson
Researcher at University of Massachusetts Amherst
Publications - 276
Citations - 29884
Patty S. Freedson is an academic researcher from University of Massachusetts Amherst. The author has contributed to research in topics: VO2 max & Physical fitness. The author has an hindex of 55, co-authored 273 publications receiving 27503 citations. Previous affiliations of Patty S. Freedson include Stanford University & University of California.
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Journal ArticleDOI
Is Fast Walking an Adequate Aerobic Training Stimulus for 30- to 69-Year-Old Men and Women?
TL;DR: It seems that fast walking may indeed offer an adequate aerobic training stimulus for most adults, and men with high V o2 max values are likely to benefit from this stimulus.
Journal ArticleDOI
Classification accuracy of the wrist-worn gravity estimator of normal everyday activity accelerometer.
Whitney Allegra Welch,David R. Bassett,Dixie L Thompson,Patty S. Freedson,John Staudenmayer,Dinesh John,Jeremy A. Steeves,Scott A. Conger,Tyrone G. Ceaser,Cheryl A. Howe,Jeffer Eidi Sasaki,Eugene C. Fitzhugh +11 more
TL;DR: A wrist-worn triaxial accelerometer has modest-intensity classification accuracy across a broad range of activities when using the cut points of Esliger et al, and is generally in the same range as those reported for waist-worn, uniaxial accelerometers.
Journal ArticleDOI
Biomechanical Examination of the ‘Plateau Phenomenon’ in ActiGraph Vertical Activity Counts
TL;DR: Acceleration signals of higher frequencies that are eliminated by the ActiGraph band-pass filter may be necessary to distinguish among exercise intensity at higher running speeds.
Journal ArticleDOI
The independent and combined effects of exercise training and reducing sedentary behavior on cardiometabolic risk factors
Sarah Kozey Keadle,Kate Lyden,John Staudenmayer,Amanda Hickey,Richard Viskochil,Barry Braun,Patty S. Freedson +6 more
TL;DR: Within-group analysis provides preliminary evidence that exercising and reducing ST may result in improvements in metabolic biomarkers that are not seen with exercise alone, though between-group differences did not reach statistical significance.
Journal ArticleDOI
A Framework to Evaluate Devices That Assess Physical Behavior.
TL;DR: A phase-based framework for developing and evaluating devices that emphasizes robust validation studies in naturalistic conditions is proposed that is applicable to body-worn devices and processing methods.