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Alexander H.K. Montoye, Jordana Dahmen, Nigel Campbell and Christopher P. Connolly

activity counts recorded by the AG to Calorie data ( Freedson, Melanson, & Sirard, 1998 ; Sasaki, John, & Freedson, 2011 ); these are henceforth abbreviated as AG 1998 and AG 2011. Since metabolism lags behind the true metabolic cost of an activity when changing intensities ( McArdle, Katch, & Katch, 2015

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Júlio A. Costa, João Brito, Fábio Y. Nakamura, Eduardo M. Oliveira, Ovidio P. Costa and António N. Rebelo

); latency (time in min attempting to fall asleep); and sleep efficiency (percentage of time in bed that was spent asleep). The sampling frequency was 50 Hz and the epoch of activity counts was 60 seconds. All movements greater than 0.05  g were measured, and values outside the range of 3 to 11 Hz were

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Catherine E. Tong, Joanie Sims Gould and Heather A. McKay

. Studies with older adults consistently used 60-s epochs to summarize activity counts (see Gorman et al., 2014 ). Individual participant data were first uploaded to Microsoft Office Excel files. The accelerometers did not capture any counts greater than 15,000/min, which are regarded to be physiologically

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Stephen Hunter, Andrei Rosu, Kylie D. Hesketh, Ryan E. Rhodes, Christina M. Rinaldi, Wendy Rodgers, John C. Spence and Valerie Carson

between neighborhood tree density with either physical activity or sedentary behavior. This contrasts the findings by Lovasi et al ( 34 ), where a greater number of trees embedded within sidewalks per neighborhood was associated with higher physical activity counts per minute in preschoolers living in New

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Kenneth E. Powell, Abby C. King, David M. Buchner, Wayne W. Campbell, Loretta DiPietro, Kirk I. Erickson, Charles H. Hillman, John M. Jakicic, Kathleen F. Janz, Peter T. Katzmarzyk, William E. Kraus, Richard F. Macko, David X. Marquez, Anne McTiernan, Russell R. Pate, Linda S. Pescatello and Melicia C. Whitt-Glover

): 2353 – 2358 . PubMed ID: 25785930 doi:10.1249/MSS.0000000000000662 10.1249/MSS.0000000000000662 25785930 45. Wolff-Hughes DL , Fitzhugh EC , Bassett DR , Churilla JR . Total activity counts and bouted minutes of moderate-to-vigorous physical activity: relationships with cardiometabolic

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Adelle Gadowski, Alice J. Owen, Andrea Curtis, Natalie Nanayakkara, Stephane Heritier, Marie Misso and Sophia Zoungas

activities in the previous 2 weeks ( Dirajlal-Fargo et al., 2016 ). In the second trial, participants were instructed to wear an accelerometer for 96 consecutive hours, including 2 weekdays and 2 weekend days. Accelerometers recorded several parameters of participants’ physical activity including activity

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Amherst Recent studies have used triaxial accelerometer activity counts to distinguish standing time from sitting time. Further research is needed on methods for classifying standing versus sitting using step-based metrics. Sparsely detected steps peppered into strings of 0 steps/min (i.e., zero cadence

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GM competence and PA were assessed using the Bayley Scales of Infant Development – 3rd ed. and ActiGraph GT3X-BT accelerometers. PA was measured over 3 days and the average activity counts per minute at the wrist and ankle were calculated. Rate of weight gain was calculated by entering each infants