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Marcin Straczkiewicz, Jacek Urbanek and Jaroslaw Harezlak

, QLD, Australia Brønd , J.C. , & Arvidsson , D. ( 2016 ). Sampling frequency affects the processing of Actigraph raw acceleration data to activity counts . Journal of Applied Physiology, 120 ( 3 ), 362 – 369 . PubMed ID: 26635347 doi:10.1152/japplphysiol.00628.2015 10.1152/japplphysiol.00628

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Jacopo A. Vitale, Giuseppe Banfi, Andrea Galbiati, Luigi Ferini-Strambi and Antonio La Torre

threshold was selected to detect sleep parameters since it has been shown that the cutoff value of 80 activity counts yields the best combination of sensitivity and specificity in a population of elite athletes. 12 Together with the actigraph, each subject received a sleep diary to record bedtime, wake

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Xihe Zhu and Justin A. Haegele

with oxygen consumption ( Kelly, McMillan, Anderson, Fippinger, Fillerup, & Rider, 2013 ). The ActiGraph GT3x output represents data across three axes (mediolateral, vertical, and anteroposterior) separately and provides activity counts as a composite vector magnitude of these three axes. This specific

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Mohanraj Krishnan, Andrew N. Shelling, Clare R. Wall, Edwin A. Mitchell, Rinki Murphy, Lesley M.E. McCowan and John M.D. Thompson

bedtime. Physical activity duration was defined as the elapsed time between wake time and sleep onset. The activity variables derived from actigraphy estimated the total physical activity counts, mean activity counts, and minutes of sedentary/light [<3 metabolic equivalent tasks (METs)], moderate (>3 to

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Hotaka Maeda, Chris C. Cho, Young Cho and Scott J. Strath

extremely long computing time in comparison to the other methods. Therefore, the results for Lee and Gill’s method may be less stable than the other methods. Methods to Estimate Activity Average Counts per Day The average activity counts per day from the original 7-day data were considered to be the true

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Amber Watts, Mauricio Garnier-Villarreal and Paul Gardiner

vigorous physical activity. Both inadequate physical activity and prolonged sitting may confer independent harms. Estimates of sedentary behavior are often inferred from low levels of physical activity (e.g., <100 activity counts per minute as measured by accelerometry); however, accurate assessment of

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Alberto Flórez-Pregonero, Matthew S. Buman and Barbara E. Ainsworth

into measures of metabolic equivalents (METs) expenditure that reflect thresholds (cut-points) for specified levels of activity ( Watson, Carlson, Carroll, & Fulton, 2014 ). Cut-points are numerical values for the acceleration of movement intensity (activity counts) that reflect thresholds in the

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Ryan S. Garten, Matthew C. Scott, Tiffany M. Zúñiga, Austin C. Hogwood, R. Carson Fralin and Jennifer Weggen

monitor 29 that measures accelerations throughout the day, which are expressed as activity counts. The activity counts were summed over a 60-second epoch and categorized as light, moderate, vigorous, or very vigorous activity using previously validated thresholds. 29 This data was further extrapolated

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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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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