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Elroy J. Aguiar, John M. Schuna Jr., Tiago V. Barreira, Emily F. Mire, Stephanie T. Broyles, Peter T. Katzmarzyk, William D. Johnson and Catrine Tudor-Locke

monitored hours per day, with nonwear time defined as ≥60 min of consecutive zero-activity counts per minute, allowing for minimal interruptions (up to 2 min of counts between 0 and 100; Troiano et al., 2008 ). All individuals with at least one valid day of data were retained in the analysis ( Tudor

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Peng Zhang, Jung Eun Lee, David F. Stodden and Zan Gao

were set at 15-second intervals. Raw activity counts were interpreted using empirically established cut points that defined different PA intensity: sedentary (<100 count/min), LPA (101–2295 count/min), and MVPA (>2296 count/min). 22 Data were collected in September/October of 2012 (baseline assessment

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Kenneth E. Powell and Steven N. Blair

risk-factor status of individuals meeting the commonly recommended volume of MVPA primarily with bouts ≥10 min in duration with that of individuals with comparable MVPA activity counts accumulated primarily with bouts <10 min in duration. Of 40 comparisons in these 14 studies, 78% (31) indicated that

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Lena Zimmo, Fuad Almudahka, Izzeldin Ibrahim, Mohamed G. Al-kuwari and Abdulaziz Farooq

-worn accelerometers, unless they were uncomfortable. Since there was no planned after-school activity, only school-time data were used. The accelerometer data were collected with a sampling rate of 30 Hz, and activity counts were integrated for every 10 s (epoch). The software identified time without the

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Barbara Resnick, Elizabeth Galik, Marie Boltz, Erin Vigne, Sarah Holmes, Steven Fix and Shijun Zhu

). Prior evidence of reliability of the MotionWatch 8 was based on the consistency between recordings across 3 days of wear. Evidence of validity of the MotionWatch 8 was based on a consistent match between the activity counts and recorded activity performed and a statistically significant difference in

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Laura D. Ellingson, Paul R. Hibbing, Gregory J. Welk, Dana Dailey, Barbara A. Rakel, Leslie J. Crofford, Kathleen A. Sluka and Laura A. Frey-Law

locations (e.g., hip vs. wrist), and data formats (e.g., raw vs. activity counts) ( Ellingson, Schwabacher, Kim, Welk, & Cook, 2016 ; Hibbing, Kim, Saint-Maurice, & Welk, 2016 ; Hildebrand, VAN Hees, Hansen, & Ekelund, 2014 ; Kim & Welk, 2015 ; Migueles et al., 2017 ). Previous work from our research

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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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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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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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Kelley Pettee Gabriel, Adriana Pérez, David R. Jacobs Jr, Joowon Lee, Harold W. Kohl III and Barbara Sternfeld

at the exam visit. Data from the accelerometer, expressed as 60-second epochs, were downloaded and screened for wear-time using methods described by Troiano et al. 16 Activity count-based measures (counts·d −1 and counts·min −1 ·d −1 ) were calculated using summed or averaged daily counts detected