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Jennifer L. Huberty, Jeni L. Matthews, Meynard Toledo, Lindsay Smith, Catherine L. Jarrett, Benjamin Duncan and Matthew P. Buman

were fitted to a mask attached to a portable metabolic measurement device (Oxycon Mobile, Carefusion, Yorba Linda, CA, USA) placed in a backpack, and an Actigraph GT3X+ device was placed on the left hip. One study reported no difference in hip placement or activity counts for walking/running activities

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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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Liina Remmel, Vallo Tillmann, Eva Mengel, Pille Kool, Priit Purge, Evelin Lätt and Jaak Jürimäe

from 0.05 to 2.00 GS with a frequency response of 0.25–2.50 Hz. All participants wore the accelerometer on the right hip for 7 consecutive days during the wake-up time. The accelerometer data were analyzed using the activity counts of 15-second epochs ( 15 ). For the analyses of accelerometer data, all

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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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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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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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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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Emma E. Sypes, Genevieve Newton and Zakkoyya H. Lewis

, “a wearable device that objectively measures lifestyle PA and can provide feedback, beyond the display of basic activity count information, via the monitor display or through a partnering application to elicit continual self-monitoring of activity behaviour.” 4 These devices continue to be developed

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Cheryl A. Howe, Kimberly A. Clevenger, Danielle McElhiney, Camille Mihalic and Moira A. Ragan

determine the average activity counts and steps during the activities. The metabolic and accelerometry data are provided in a Supplemental Table (available online). Perceived State PA Enjoyment During the rest periods immediately following each activity, the children used the 4-item HHS to score their

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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