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Christopher Kuenze, Lisa Cadmus-Bertram, Karin Pfieffer, Stephanie Trigsted, Dane Cook, Caroline Lisee and David Bell

period. Freedson Adult VM3 cut points were then used to categorize physical activity as light, moderate, vigorous, or very vigorous based on the number of activity counts that occurred per minute during periods of wear time. 33 Based on the use of these cut points, we were able to calculate the amount

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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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Berit Steenbock, Marvin N. Wright, Norman Wirsik and Mirko Brandes

, and are increasingly being used in studies with very young children ( Hills et al., 2014 ). However, traditional linear model equations developed for activity count-based data do not provide accurate estimates of EE in preschoolers ( Janssen et al., 2013 ; Reilly et al., 2006 ). Because the

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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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Kelli L. Cain, Edith Bonilla, Terry L. Conway, Jasper Schipperijn, Carrie M. Geremia, Alexandra Mignano, Jacqueline Kerr and James F. Sallis

acceleration in horizontal and perpendicular planes, and activity counts can be expressed as a composite “vector magnitude” (VM) of 3 axes [sqrt(X 2  + Y 2  + Z 2 )]. As vector magnitude (VM) should detect movement that may be common during sedentary time but not easily detected on the vertical plane (ie

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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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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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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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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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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