Journal of Physical Activity and Health. 2013 Jan;10(1):62-9.
Lyden K, Kozey Keadle S, Staudenmayer J, Freedson P, Alhassan S.
Dept of Kinesiology, University of Massachusetts-Amherst.
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Showing posts with label METS. Show all posts
Showing posts with label METS. Show all posts
Monday, 4 February 2013
Wednesday, 19 September 2012
Energy expended playing Xbox Kinect™ and Wii™ games: a preliminary study comparing single and multiplayer modes.
Physiotherapy. 2012 Sep;98(3):224-9. Epub 2012 Jul 25.
O'Donovan C, Hirsch E, Holohan E, McBride I, McManus R, Hussey J.
Discipline of Physiotherapy, School of Medicine, Trinity College Dublin, Dublin, Ireland.
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O'Donovan C, Hirsch E, Holohan E, McBride I, McManus R, Hussey J.
Discipline of Physiotherapy, School of Medicine, Trinity College Dublin, Dublin, Ireland.
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Abstract
OBJECTIVES: It has been reported that a higher galvanic skin response is seen when playing video games against another human player than when playing alone, which suggests increased effort. The objectives of this study were to compare energy expenditure when playing two popular active video game consoles, and to compare energy expenditure when playing in single and multiplayer modes.
DESIGN: Crossover trial with randomised playing order.
PARTICIPANTS: Fourteen healthy adults with a mean age of 21 [standard deviation (SD) 3] years.
METHODS AND INTERVENTIONS: Energy expenditure was measured using an indirect calorimeter at rest, during 10minutes of play on Xbox Kinect™ Reflex Ridge in both single and multiplayer modes, and during 10minutes of play on Wii™ Sports Boxing in both single and multiplayer modes.
MAIN OUTCOME MEASURES: Metabolic equivalents (METs), heart rate, oxygen consumption and kilocalories expended.
RESULTS: The energy expenditure during all gaming conditions was of a light intensity. Playing on the Xbox Kinect elicited greater energy expenditure than playing on the Wii [mean difference=0.9 METs, 95% confidence interval (CI) 0.2 to 1.5]. Playing games in multiplayer mode led to greater energy expenditure (mean difference=0.5 METs, 95% CI 0.1 to 0.9) and heart rate (mean difference=7.9 beats/minute, 95% CI 2.0 to 13.8) than playing in single player mode.
CONCLUSIONS: No gaming condition required moderate-intensity activity in this group of young healthy adults. Potential explanations for the difference in energy expenditure seen between consoles and modes are discussed.
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Copyright © 2012 Chartered Society of Physiotherapy. Published by Elsevier Ltd. All rights reserved.
OBJECTIVES: It has been reported that a higher galvanic skin response is seen when playing video games against another human player than when playing alone, which suggests increased effort. The objectives of this study were to compare energy expenditure when playing two popular active video game consoles, and to compare energy expenditure when playing in single and multiplayer modes.
DESIGN: Crossover trial with randomised playing order.
PARTICIPANTS: Fourteen healthy adults with a mean age of 21 [standard deviation (SD) 3] years.
METHODS AND INTERVENTIONS: Energy expenditure was measured using an indirect calorimeter at rest, during 10minutes of play on Xbox Kinect™ Reflex Ridge in both single and multiplayer modes, and during 10minutes of play on Wii™ Sports Boxing in both single and multiplayer modes.
MAIN OUTCOME MEASURES: Metabolic equivalents (METs), heart rate, oxygen consumption and kilocalories expended.
RESULTS: The energy expenditure during all gaming conditions was of a light intensity. Playing on the Xbox Kinect elicited greater energy expenditure than playing on the Wii [mean difference=0.9 METs, 95% confidence interval (CI) 0.2 to 1.5]. Playing games in multiplayer mode led to greater energy expenditure (mean difference=0.5 METs, 95% CI 0.1 to 0.9) and heart rate (mean difference=7.9 beats/minute, 95% CI 2.0 to 13.8) than playing in single player mode.
CONCLUSIONS: No gaming condition required moderate-intensity activity in this group of young healthy adults. Potential explanations for the difference in energy expenditure seen between consoles and modes are discussed.
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Copyright © 2012 Chartered Society of Physiotherapy. Published by Elsevier Ltd. All rights reserved.
Tuesday, 1 November 2011
Energy Expenditure and Enjoyment during Video Game Play: Differences by Game Type
Medicine & Science in Sports & Exercise:
October 2011 - Volume 43 - Issue 10 - pp 1987-1993
LYONS, ELIZABETH J.; TATE, DEBORAH F., WARD, DIANNE S.; BOWLING, J. MICHAEL; RIBISL, KURT M.; KALYARARAMAN, SRIRAM
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Abstract
Purpose: Play of physically active video games may be a way to increase physical activity and/or decrease sedentary behavior, but games are not universally active or enjoyable. Active games may differ from traditional games on important attributes, which may affect frequency and intensity of play. The purpose of this study was to investigate differences in energy expenditure and enjoyment across four game types: shooter (played with traditional controllers), band simulation (guitar or drum controller), dance simulation (dance mat controller), and fitness (balance board controller).
Methods: Energy expenditure (METs) and enjoyment were measured across 10 games in 100 young adults age 18-35 yr (50 women).
Results: All games except shooter games significantly increased energy expenditure over rest (P < 0.001). Fitness and dance games increased energy expenditure by 322% (mean ± SD = 3.10 ± 0.89 METs) and 298% (2.91 ± 0.87 METs), which was greater than that produced by band simulation (73%, 1.28 ± 0.28 METs) and shooter games (23%, 0.91 ± 0.16 METs). However, enjoyment was higher in band simulation games than in other types (P < 0.001). Body mass-corrected energy expenditure was greater in normal weight than in overweight participants in the two most active game types (P < 0.001).
Conclusions: Active video games can significantly increase energy expended during screen time, but these games are less enjoyable than other more sedentary games, suggesting that they may be less likely to be played over time. Less active but more enjoyable video games may be a promising method for decreasing sedentary behavior.
©2011The American College of Sports Medicine
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October 2011 - Volume 43 - Issue 10 - pp 1987-1993
LYONS, ELIZABETH J.; TATE, DEBORAH F., WARD, DIANNE S.; BOWLING, J. MICHAEL; RIBISL, KURT M.; KALYARARAMAN, SRIRAM
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Abstract
Purpose: Play of physically active video games may be a way to increase physical activity and/or decrease sedentary behavior, but games are not universally active or enjoyable. Active games may differ from traditional games on important attributes, which may affect frequency and intensity of play. The purpose of this study was to investigate differences in energy expenditure and enjoyment across four game types: shooter (played with traditional controllers), band simulation (guitar or drum controller), dance simulation (dance mat controller), and fitness (balance board controller).
Methods: Energy expenditure (METs) and enjoyment were measured across 10 games in 100 young adults age 18-35 yr (50 women).
Results: All games except shooter games significantly increased energy expenditure over rest (P < 0.001). Fitness and dance games increased energy expenditure by 322% (mean ± SD = 3.10 ± 0.89 METs) and 298% (2.91 ± 0.87 METs), which was greater than that produced by band simulation (73%, 1.28 ± 0.28 METs) and shooter games (23%, 0.91 ± 0.16 METs). However, enjoyment was higher in band simulation games than in other types (P < 0.001). Body mass-corrected energy expenditure was greater in normal weight than in overweight participants in the two most active game types (P < 0.001).
Conclusions: Active video games can significantly increase energy expended during screen time, but these games are less enjoyable than other more sedentary games, suggesting that they may be less likely to be played over time. Less active but more enjoyable video games may be a promising method for decreasing sedentary behavior.
©2011The American College of Sports Medicine
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Abstract
BACKGROUND: The Compendium of Energy Expenditures for Youth assigns MET values to a wide range of activities. However, only 35% of activity MET values were derived from energy cost data measured in youth; the remaining activities were estimated from adult values.
PURPOSE: To determine the energy cost of common activities performed by children and adolescents and compare these data to similar activities reported in the compendium.
METHODS: Thirty-two children (8-11 years old) and 28 adolescents (12-16 years) completed 4 locomotion activities on a treadmill (TRD) and 5 age-specific activities of daily living (ADL). Oxygen consumption was measured using a portable metabolic analyzer.
RESULTS: In children, measured METs were significantly lower than compendium METs for 3 activities [basketball, bike riding, and Wii tennis (1.1-3.5 METs lower)]. In adolescents, measured METs were significantly lower than compendium METs for 4 ADLs [basketball, bike riding, board games, and Wii tennis (0.3-2.5 METs lower)] and 3 TRDs [2.24 m·s-1, 1.56 m·s-1, and 1.34 m·s-1 (0.4-0.8 METs lower)].
CONCLUSION: The Compendium of Energy Expenditures for Youth is an invaluable resource to applied researchers. Inclusion of empirically derived data would improve the validity of the Compendium of Energy Expenditures for Youth.
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