Literature DB >> 17986918

Energy cost of physical activities in children: validation of SenseWear Armband.

Daniel Arvidsson1, Frode Slinde, Sven Larsson, Lena Hulthén.   

Abstract

PURPOSE: To examine the validity of SenseWear Pro2 Armband in assessing energy cost of physical activities in children, and to contribute with values of energy costs in an overview of physical activities in children.
METHODS: Energy cost was assessed by SenseWear Pro2 Armband in 20 healthy children, 11-13 yr, while lying down resting, sitting playing games on mobile phone, stepping up and down on a step board, bicycling on a stationary bike, jumping on a trampoline, playing basketball, and walking/running on a treadmill at the speeds 2, 3, 4, 5, 6, 7, 8, and 10 km x h(-1). During these activities, energy cost was also assessed from VO2 and VCO2 measured by Oxycon Mobile portable metabolic system, which was used as criterion method.
RESULTS: The difference in energy cost between SenseWear Pro2 Armband and Oxycon Mobile was -0.7 (0.5) (P < 0.001) for resting, -2.0 (0.9) (P < 0.001) for playing games on mobile phone, -6.6 (2.3) (P < 0.001) for stepping on the step board, -12.0 (3.7) (P < 0.001) for bicycling, -2.7 (11.9) (P = 0.34) for jumping on the trampoline, and -14.8 (6.4) kJ x min(-1) (P < 0.001) for playing basketball. The difference in energy cost between SenseWear Pro2 Armband and Oxycon Mobile for increasing treadmill speed was 1.3 (3.1) (P = 0.048), 0.1 (2.9) (P = 0.82), -1.2 (2.6) (P = 0.049), -1.6 (3.2) (P = 0.044), -3.1 (3.7) (P = 0.0013), -4.9 (3.7) (P < 0.001), -5.3 (3.7) (P < 0.001), and -11.1 (3.5) kJ x min(-1) (P < 0.001).
CONCLUSIONS: SenseWear Pro2 Armband underestimated energy cost of most activities in this study, an underestimation that increased with increased physical activity intensity. A table of energy costs (MET values) of physical activities in children measured by indirect calorimetry is presented as an initiation of the creation of a compendium of physical activities in children.

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Mesh:

Year:  2007        PMID: 17986918     DOI: 10.1249/mss.0b013e31814fb439

Source DB:  PubMed          Journal:  Med Sci Sports Exerc        ISSN: 0195-9131            Impact factor:   5.411


  28 in total

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2.  Calibrating a novel multi-sensor physical activity measurement system.

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5.  Establishing and evaluating wrist cutpoints for the GENEActiv accelerometer in youth.

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Journal:  Med Sci Sports Exerc       Date:  2014-04       Impact factor: 5.411

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7.  A new method to estimate energy expenditure from abdominal and rib cage distances.

Authors:  S Gastinger; H Sefati; G Nicolas; A Sorel; A Gratas-Delamarche; J Prioux
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8.  Effectiveness of a smartphone application to promote physical activity in primary care: the SMART MOVE randomised controlled trial.

Authors:  Liam G Glynn; Patrick S Hayes; Monica Casey; Fergus Glynn; Alberto Alvarez-Iglesias; John Newell; Gearóid OLaighin; David Heaney; Martin O'Donnell; Andrew W Murphy
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9.  Energy cost of common activities in children and adolescents.

Authors:  Kate Lyden; Sarah Kozey Keadle; John Staudenmayer; Patty Freedson; Sofiya Alhassan
Journal:  J Phys Act Health       Date:  2012-02-29

10.  Characterisation of the Mechanical Loads and Metabolic Intensity of the CAPO Kids Exercise Intervention for Healthy Primary School Children.

Authors:  Rossana C Nogueira; Benjamin K Weeks; Belinda R Beck
Journal:  J Sports Sci Med       Date:  2015-08-11       Impact factor: 2.988

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