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Sheri J. Hartman, Catherine R. Marinac, Lisa Cadmus-Bertram, Jacqueline Kerr, Loki Natarajan, Suneeta Godbole, Ruth E. Patterson, Brittany Morey and Dorothy D. Sears

, Zderic TW , Schuna JM Jr , Hamilton MT , Tudor-Locke C . Free-living activity counts-derived breaks in sedentary time: are they real transitions from sitting to standing? Gait Posture. 2015 ; 42 ( 1 ): 70 – 72 . PubMed doi:10.1016/j.gaitpost.2015.04.008 25953504 10.1016/j.gaitpost.2015

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Molly P. O’Sullivan, Matthew R. Nagy, Shannon S. Block, Trevor R. Tooley, Leah E. Robinson, Natalie Colabianchi and Rebecca E. Hasson

of ≥60 minutes of zero activity counts were also defined as nonwear time, allowing for 1–2 minutes of counts between 0 and 100 ( 20 ). Nonwear times were excluded from the analyses. The Evenson ( 5 ) cut points were used to derive activity intensities (sedentary: 0–100 counts per minute; low

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Mallory S. Kobak, Andrew Lepp, Michael J. Rebold, Hannah Faulkner, Shannon Martin and Jacob E. Barkley

a significant main effect of condition for accelerometer counts ( F  = 5.3, P  = .03; Figure  1 ). Children accumulated significantly greater total physical activity counts per METs when playing without the iPad present [101,733 (60,015) counts, 5.3 (4.0) METs/min or moderate intensity] versus

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Kin-Kit Li, Lorna Ng, Sheung-Tak Cheng and Helene H. Fung

more. Activity counts were converted into minutes of moderate- to vigorous-intensity PA per day based on the cutoffs suggested by Fredman, Bertrand, Martire, Hochberg, and Harris ( 2006 ). Covariates Several demographic and health-related factors were measured and controlled for in the analyses. The

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Daniel Arvidsson, Elias Johannesson, Lars Bo Andersen, Magnus Karlsson, Per Wollmer, Ola Thorsson and Magnus Dencker

). This is a uniaxial accelerometer recording acceleration signals along the vertical axis to generate activity counts corresponding to activity intensity. 19 Recordings of physical activity in the present study were performed during the whole autumn school term. Children were instructed to wear the

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Deirdre Dlugonski, Katrina Drowatzky DuBose and Patrick Rider

71% (n = 12) of mothers had ≥6 valid days. Mothers accumulated 188,844 (47,966) vertical axis activity counts and walked 5504 (1274) steps per day. Mothers engaged in 284.0 (73.0) minutes of light-intensity activity, 16.5 (10.0) minutes of MVPA, and 520 (62) minutes of sedentary time per day

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Kent A. Lorenz, Hans van der Mars, Pamela Hodges Kulinna, Barbara E. Ainsworth and Melbourne F. Hovell

measure the behavioral variables while simultaneously recording PA. 22 Table 2 Interobserver Correlation Coefficients and R 2 Values for Physical Activity Counts Girls Boys Intensity r R 2 r R 2 Sedentary .9973 a .99 .9932 a .99 Moderate .9080 a .82 .9053 a .82 Vigorous .8157 a .66 .8841 a .78 a

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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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Sandra Silva-Santos, Amanda Santos, Michael Duncan, Susana Vale and Jorge Mota

of GMC was subsequently converted to z scores. MVPA and Sedentary Behavior MVPA and sedentary behavior were measured during seven consecutive days (Monday to Sunday using the ActiGraph GT1M accelerometer; Pensacola, FL, USA). This accelerometer provides output in activity counts, which offers

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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