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Ian M. Greenlund, Piersan E. Suriano, Steven J. Elmer, Jason R. Carter and John J. Durocher

expenditure, this may be one of the contributing factors why the standing desk individuals did not exhibit differences in arterial stiffness compared with seated controls. Indirect calorimetry shows that standing increases oxygen consumption, but the increase does not achieve a level associated with light

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Julian A. Owen, Matthew B. Fortes, Saeed Ur Rahman, Mahdi Jibani, Neil P. Walsh and Samuel J. Oliver

during the cycling exercise. This was calculated from indirect calorimetry during the habituation visit cycling exercise test (Cortex MetaLyzer 3B, Leipzig, Germany). On Day 1 of each trial, participants woke at 07:00 hr and drank water equal to 6 ml·kg −1 of body mass (471 [52] ml). On arrival to the

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Michael E. Hales and John D. Johnson II

equivalent of task; RER, respiratory exchange ratio. The portable gas analyzer measured VO 2 and VCO 2 exchange samples and calculated energy expenditure by indirect calorimetry. An interaction effect was not determined by the 2-way repeated-measures ANOVA for energy expenditure across trials and between

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Kapria-Jad Josaphat, Vicky Drapeau, David Thivel and Marie-Eve Mathieu

them with the procedures of the experimental visits (see details below). Maximum oxygen uptake (VO 2 max) was measured with indirect calorimetry (MOXUS; AEI Technology, Pittsburgh, PA). A progressive test on the treadmill adapted from the shuttle test was performed ( Leger et al., 1988 ). The test

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Michael J. Davies, Bradley Clark, Laura A. Garvican-Lewis, Marijke Welvaert, Christopher J. Gore and Kevin G. Thompson

using a custom-built, open-circuit, indirect calorimetry system with associated in-house software for determination of oxygen uptake. 17 The highest V ˙ O 2 averaged over a 30-second period was defined as V ˙ O 2 peak . MAP was determined as the final completed stage plus the proportion of any

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Matthew Zimmermann, Grant Landers, Karen Wallman and Georgina Kent

.026344 20. Burton AC . Human calorimetry II: the average temperature of the tissues of the body . J Nutr . 1935 ; 9 ( 3 ): 261 – 280 . PubMed doi:10.1210/jc.2012-2981 10.1093/jn/9.3.261 21. Sugenoya J , Iwase S , Mano T , Ogawa T . Identification of sudomotor activity in cutaneous

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Amelia J. Carr, Laura A. Garvican-Lewis, Brent S. Vallance, Andrew P. Drake, Philo U. Saunders, Clare E. Humberstone and Christopher J. Gore

collected continuously throughout the test using an open-circuit indirect calorimetry system (TrueOne 2400 Parvo Medics, Sandy, UT), which was calibrated prior to each test. The test began at a speed between 9 and 12 km·h −1 , based on each athlete’s recent 20-km race performance. All participants were

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Ignacio Perez-Pozuelo, Thomas White, Kate Westgate, Katrien Wijndaele, Nicholas J. Wareham and Soren Brage

been validated against intensity from indirect calorimetry ( Strath, Brage, & Ekelund, 2005 ; Thompson, Batterham, Bock, Robson, & Stokes, 2006 ) and volume from doubly labeled water in several populations ( Villars et al., 2012 ), including a sample of UK men and women in whom the technique was shown

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Kristen M. Metcalf, Elena M. Letuchy, Steven M. Levy and Kathleen F. Janz

cut points to predict minutes of VPA (≥4,012 counts/min). When compared with indirect calorimetry, the VPA cut point has excellent classification accuracy (receiver operating characteristic − area under the curve = 0.83) ( 6 ). Time spent in VPA (minutes per day) was used in the analyses, as this

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Ryan D. Burns, Youngwon Kim, Wonwoo Byun and Timothy A. Brusseau

calorimetry. 21 The epochs during the school day were categorized as sedentary, light, moderate, or vigorous physical activity. The moderate and vigorous physical activity classifiers were aggregated for time in MVPA. Wear time validation was employed using the Choi et al 22 algorithm. The ActiLife 6