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Christopher P. Connolly, Jordana Dahmen, Robert D. Catena, Nigel Campbell, and Alexander H.K. Montoye

during pregnancy, but do not extend conclusively to activities beyond treadmill walking or to free-living settings. It has previously been shown that walking gait on a treadmill differs from overground ( Hollman et al., 2016 ; Lu, Lu, Lin, & Chan, 2017 ), and thus it is unclear if previous step

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Nicolas Farina and Ruth G. Lowry

between devices. These devices have also been validated in “free-living” conditions ( Ferguson, Rowlands, Olds, & Maher, 2015 ; Kooiman et al., 2015 ; Tully, McBride, Heron, & Hunter, 2014 ), which are likely to better reflect real-world activities. Notably, the validation of these devices in the

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Giovanni Mario Pes, Maria Pina Dore, Alessandra Errigo, and Michel Poulain

et al., 2011 ). However, all these methods except the last are time-consuming and require specific training by the operators. Among the portable movement sensors able to record energy expenditure (EE) under free-living conditions, the Sensewear™ Armband (BodyMedia Inc., Pittsburg, PA, USA) has gained

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Greg Petrucci Jr., Patty Freedson, Brittany Masteller, Melanna Cox, John Staudenmayer, and John Sirard

 al., 2015 ) by examining the sensitivity of the MS to detect changes during 1) a structured laboratory-based protocol to simulate sedentary office work interrupted by bouts of activity, and 2) a two-week free-living protocol, where participants were inactive for one week and for the second week, they were

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Julian Martinez, Autumn E. Decker, Chi C. Cho, Aiden Doherty, Ann M. Swartz, John Staudenmayer, and Scott J. Strath

, Jones, Schofield, & Martin, 2018 ). All the results from the briefly described aforementioned studies show a growth in the use of WCs for PA research and highlight its potential as a feasible tool for providing contextual information to individual free-living PA behavior. Notably, all of the previously

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

, wearable devices that track PA behavior are increasingly popular tools for researchers, clinicians, and the general public to monitor free-living behavior. According to a recent report, global wearable technology sales will grow from more than $30 billion in 2016 to more than $150 billion by 2026 ( Hayward

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Paul R. Hibbing, Nicholas R. Lamoureux, Charles E. Matthews, and Gregory J. Welk

, Aguilar-Farias, Van Uffelen, & Pavey, 2018 ; Lee & Shiroma, 2014 ; Silfee et al., 2018 ), and thus there is a unique need to study competing methods in the context of the 24-hr activity cycle. The Free-Living Activity Study for Health (FLASH) is an ongoing study specifically designed to facilitate

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Alan K. Bourke, Espen A. F. Ihlen, and Jorunn L. Helbostad

The measurement of physical activity patterns has the potential to reveal underlying causes of changes in modifiable risk-factors associated with health and well-being. Accurate classification of physical activity (PA) in free-living situations requires the use of a validated measurement system to

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Laura D. Ellingson, Paul R. Hibbing, Gregory J. Welk, Dana Dailey, Barbara A. Rakel, Leslie J. Crofford, Kathleen A. Sluka, and Laura A. Frey-Law

Accurate estimates of free-living physical activity (PA) and sedentary behavior are critical for many different research applications. However, accuracy is particularly important for research with clinical populations since it is important to be able to monitor the dose of activity performed and to

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Heidi Skantz, Timo Rantalainen, Laura Karavirta, Merja Rantakokko, Lotta Palmberg, Erja Portegijs, and Taina Rantanen

individuals’ ability to walk in their own environment (what they can do; Mänty et al., 2007 ), wearable accelerometers capture bouts of movement and nonmovement in free-living conditions (what they do do). Thus, accelerometers can be used to gain information about free-living walking; the amount of