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Jennifer L. Huberty, Jeni L. Matthews, Meynard Toledo, Lindsay Smith, Catherine L. Jarrett, Benjamin Duncan and Matthew P. Buman

doi:10.1249/MSS.0b013e31820513be 10.1249/MSS.0b013e31820513be Gastin , P.B. , Cayzer , C. , Dwyer , D. , & Robertson , S. ( 2017 ). Validity of the ActiGraph GT3X and BodyMedia SenseWear armband to estimate energy expenditure during physical activity and sport . Journal of Science and

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Emma E. Sypes, Genevieve Newton and Zakkoyya H. Lewis

loss; SWA, SenseWear armband; TECH + PHONE, technology and phone group. Note: Primary outcomes are bolded. a No P value reported; d  = effect size of difference between intervention and control groups (Cohen d , a value >0.8 indicates a large effect size). b Effect size could not be calculated

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Anass Arrogi, Astrid Schotte, An Bogaerts, Filip Boen and Jan Seghers

activity. HRA indicates health risk assessment; Q, questionnaire; SWA, SenseWear Armband. At 3 months posttest, dropout rates did not differ between IG and RG. However, there was a difference in dropout at 9 months follow-up with 26% dropout in the IG and 11% dropout in the RG ( χ 2  = 5.256; P  = .02

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Craig Donnachie, Kate Hunt, Nanette Mutrie, Jason M.R. Gill and Paul Kelly

Health Activities Model Program for Older Adults Questionnaire) and two distinct device-based (Actigraph GT3X; Sensewear Armband) measures in detecting changes in PA in older adults with osteoarthritis during a rehabilitation program following knee replacement surgery. The findings revealed that each PA

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Steriani Elavsky, Lenka Knapova, Adam Klocek and David Smahel

: 54.9 ± 11.3 S—MetS risk/obese Hybrid (App + Web): IG1: PC, mobile or tablet app (Weight Watchers Online) IG2: Weight Watchers Online + Activelink app (monitoring, goal setting, and encouraging messages) CG: usual care 2 PA: Accelerometer MVPA min/day (SenseWear Armband) 5.5 There were no significant

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Gregory J. Welk

,400 adults (age 21–70 years) to participate in the PAMS. Building on past work ( Calabró et al., 2009 ), participants completed replicate single-day assessments that provided monitor-based estimates from a Sensewear armband monitor along with report-based estimates collected based on a refined 24-hPAR

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

activity trackers should report these methodological details. Other groups have reported the convergent validity of the MS in FL environments. During a 48-hour FL protocol, kCal estimates from a wrist-worn MS were significantly correlated with estimates from a SenseWear Armband Mini. Mean absolute

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

.1) 11.4 (4.7) 10.3 (5.2)  SenseWear Armband Mini – – 18.9 a 9.4 a 3.5 a 2.5 a 5.3 a Ankle-worn devices  PALlite – 3.4 a 2.2 (0.7) 3.9 a 1.1 a – – Abbreviations: MAPE, mean absolute percentage error; MEMS, microelectromechanical systems. Note: All values are presented as mean (SD)% and weighted by sample