J
John Staudenmayer
Researcher at University of Massachusetts Amherst
Publications - 105
Citations - 5858
John Staudenmayer is an academic researcher from University of Massachusetts Amherst. The author has contributed to research in topics: Medicine & Cadence. The author has an hindex of 38, co-authored 95 publications receiving 5104 citations. Previous affiliations of John Staudenmayer include Marquette University & Northeastern University.
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Journal ArticleDOI
Validation of wearable monitors for assessing sedentary behavior.
TL;DR: The AP was more precise and more sensitive to reductions in sitting time than the AG, and thus, studies designed to assess SB should consider using the AP.
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An artificial neural network to estimate physical activity energy expenditure and identify physical activity type from an accelerometer.
TL;DR: This novel approach of applying ANNs for processing Actigraph accelerometer data is promising and shows that it can successfully estimate activity METs and identify activity type using ANN analytic procedures.
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Chronic caregiver stress and IgE expression, allergen-induced proliferation, and cytokine profiles in a birth cohort predisposed to atopy
Rosalind J. Wright,Patricia W. Finn,Johanna Paola Contreras,Sheldon Cohen,Robert O. Wright,John Staudenmayer,Matt P. Wand,David L. Perkins,Scott T. Weiss,Diane R. Gold +9 more
TL;DR: Increased stress in early childhood was associated with an atopic immune profile in these children predisposed to atopy-asthma.
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Development of novel techniques to classify physical activity mode using accelerometers.
TL;DR: The novel approach of estimating activity mode, rather than activity level, may allow for more accurate field-based estimates of physical activity using accelerometer data, and this approach warrants more study in a larger and more diverse population of subjects and activities.
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Validity of two wearable monitors to estimate breaks from sedentary time.
TL;DR: This study demonstrates the use of expressing breaks from sedentary time as a rate per sedentary hour, a metric specifically relevant to free-living behavior, and provides further evidence that the activPAL is a valid tool to measure components of sedentary behavior in free- living environments.