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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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Evelin Lätt, Jarek Mäestu and Jaak Jürimäe

GT1M accelerometer (ActiGraph LLC, Pensacola, FL). Each participant was asked to wear the monitor on the right hip for 7 consecutive days, except when sleeping or in conditions the accelerometer could get wet (swimming, bathing, sauna, etc). The accelerometer was programmed to record activity counts

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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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Juliana S. Oliveira, Leanne Hassett, Catherine Sherrington, Elisabeth Ramsay, Catherine Kirkham, Shona Manning and Anne Tiedemann

use of a waist-worn accelerometer (ActiGraph GT3X+, Pensacola, FL) and was expressed as mean activity counts/min/day and mean number of steps/day. Goal Setting Participants nominated two function-related goals that met the S.M.A.R.T criteria. Goals were determined in a collaborative manner by the

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Laura E. Juliff, Jeremiah J. Peiffer and Shona L. Halson

piezoelectric accelerometer, which sampled activity counts in 1-minute epochs. Epoch-for-epoch concordance rates of 81% to 90% with polysomnography (gold standard sleep measure) have been found for sleep/wake activity using Actical® wrist actigraphy monitors. 14 Participants wore the monitor at all times

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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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Karen C. Smith, Griffin L. Michl, Jeffrey N. Katz and Elena Losina

above 175 steps per minute. We included days with at least 10 hours of wear time and, per CDC guidelines, counted minutes of MVPA in bouts of 10 minutes, with 2 “grace minutes” during which steps could fall beneath the threshold. 32 Each minute of vigorous physical activity counted as 2 minutes of

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Neng Wan, Ming Wen, Jessie X. Fan, O. Fahina Tavake-Pasi, Sara McCormick, Kirsten Elliott and Emily Nicolosi

.4278/0890-1171-10.4.282 10159709 42. Carlson RH Jr , Huebner DR , Hoarty CA , et al . Treadmill gait speeds correlate with physical activity counts measured by cell phone accelerometers . Gait Posture . 2012 ; 36 ( 2 ): 241 – 248 . PubMed doi:10.1016/j.gaitpost.2012.02.025 10.1016/j.gaitpost.2012.02.025 22475727

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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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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