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Rebekah Lynn, Rebekah Pfitzer, Rebecca R. Rogers, Christopher G. Ballmann, Tyler D. Williams and Mallory R. Marshall

actual step count by the sensitivity threshold. Thus, an arm swing is a necessary motion in order to count a step while wearing an activity monitor on the wrist. In order to use step counts as a reference for meeting physical activity guidelines, data produced by these devices must be an accurate

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Catrine Tudor-Locke, John M. Schuna Jr, Damon L. Swift, Amber T. Dragg, Allison B. Davis, Corby K. Martin, William D. Johnson and Timothy S. Church

meeting public health recommendations for physical activity. 13 By contrast, traditional Amish women average approximately 14,000 steps per day 14 and are considered “highly active.” 15 Systematic reviews of step-counting programs that have employed a step goal, 16 specifically a 10,000 steps per day

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Susan Park, Lindsay P. Toth, Scott E. Crouter, Cary M. Springer, Robert T. Marcotte and David R. Bassett

in the popularity of wearable activity monitors has made step counting more convenient and accessible to the general public ( Almalki, Gray, & Sanchez, 2015 ; Evenson, Goto, & Furberg, 2015 ). In addition, steps can be derived from both research- and consumer-grade monitors. Researchers are using

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Christopher C. Moore, Aston K. McCullough, Elroy J. Aguiar, Scott W. Ducharme and Catrine Tudor-Locke

. Consumer preference for this trackable and human-scaled measurement is reflected by the fact that most contemporary wearable technologies (ie, devices) offer a step-counting feature. 2 The 2018 Physical Activity Guidelines Advisory Committee Scientific Report also recently advocated for the benefits of

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James W. Navalta, Jeffrey Montes, Nathaniel G. Bodell, Charli D. Aguilar, Ana Lujan, Gabriela Guzman, Brandi K. Kam, Jacob W. Manning and Mark DeBeliso

, Sattar, & Lean, 2017 ). In order for individuals to truly attain their step goals, the ability to accurately determine step count becomes important. Wearable technology was rated as the top fitness trend the past two years ( Thompson, 2015 , 2016 ), and this tendency is expected to grow as the use of

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Lindsay P. Toth, Susan Park, Whitney L. Pittman, Damla Sarisaltik, Paul R. Hibbing, Alvin L. Morton, Cary M. Springer, Scott E. Crouter and David R. Bassett

Steps are an intuitive metric for assessing ambulatory physical activity ( Crespo, Keteyian, Heath, & Sempos, 1996 ; Siegel, Brackbill, & Heath, 1995 ; Simpson et al., 2003 ). In research, daily step counts have been used for physical activity surveillance ( Bassett, Wyatt, Thompson, Peters

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Brian M. Wood, Herman Pontzer, Jacob A. Harris, Audax Z.P. Mabulla, Marc T. Hamilton, Theodore W. Zderic, Bret A. Beheim and David A. Raichlen

advantages of each type of sensor ( Duncan, Badland, & Mummery, 2009 ). The methods described here were developed with such a goal in mind; that is, to permit us to synchronize accelerometers with GPS devices, and estimate step counts from GPS data. As part of our ongoing anthropological research with Hadza

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Kayla J. Nuss, Nicholas A. Hulett, Alden Erickson, Eric Burton, Kyle Carr, Lauren Mooney, Jacob Anderson, Ashley Comstock, Ethan J. Schlemer, Lucas J. Archambault and Kaigang Li

whether data obtained from different placements are comparable between studies. The hip and wrist placements have been used in various studies examining the accuracy of the ACT in assessing step count ( Chow, Thom, Wewege, Ward, & Parmenter, 2017 ; Feng, Wong, Janeja, Kuber, & Mentis, 2017 ; Johnson

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Jaclyn Megan Sions, Elisa Sarah Arch and John Robert Horne

is, pedometers and accelerometers, with varied weight, size, cost, commercial availability, and data resolution, have been shown to be reliable 28 and valid 29 , 30 for objectively assessing daily step counts among individuals with lower-limb amputations. Accelerometers, electromechanical devices

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Albert R. Mendoza, Kate Lyden, John Sirard, John Staudenmayer, Catrine Tudor-Locke and Patty S. Freedson

from the video and averaged. If there was a ≥ 5% difference between the two step count trials, the video was analyzed a third time and the average of the two closest total step counts was used for analysis. Two of 96 videos required a third measure. Training involved teaching observers how to identify