Effects of Playing Video Games on Energy Balance

The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Read our disclaimer for details. Identifier: NCT01013246
Recruitment Status : Completed
First Posted : November 13, 2009
Last Update Posted : August 10, 2011
Information provided by:
University of Copenhagen

November 12, 2009
November 13, 2009
August 10, 2011
November 2009
April 2010   (Final data collection date for primary outcome measure)
Energy intake and energy expenditure [ Time Frame: 1 time point ]
Same as current
Complete list of historical versions of study NCT01013246 on Archive Site
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Effects of Playing Video Games on Energy Balance
Effects of Playing Video Games on Energy Balance: a Randomized, 2-condition, Crossover Study in Adolescents
The aim of this study is to examine the effects of playing video games on various components of energy balance and substrate metabolism as well as on glucose homeostasis and relevant hormonal systems that might be involved in the underlying mechanisms.
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Not Applicable
Allocation: Randomized
Intervention Model: Crossover Assignment
Masking: None (Open Label)
Primary Purpose: Prevention
Other: 1-hour video game play
FIFA 2009, a football video game played on Xbox 360
Experimental: Video game play
Intervention: Other: 1-hour video game play
Chaput JP, Visby T, Nyby S, Klingenberg L, Gregersen NT, Tremblay A, Astrup A, Sjödin A. Video game playing increases food intake in adolescents: a randomized crossover study. Am J Clin Nutr. 2011 Jun;93(6):1196-203. doi: 10.3945/ajcn.110.008680. Epub 2011 Apr 13.

*   Includes publications given by the data provider as well as publications identified by Identifier (NCT Number) in Medline.
December 2010
April 2010   (Final data collection date for primary outcome measure)

Inclusion Criteria:

  • Male adolescents between 15 and 19 years of age
  • Normal weight (5th percentile to less than the 85th percentile)

Exclusion Criteria:

  • Smoking
  • Unstable body weight (±4 kg) during the 6 months preceding testing
  • Regular physical exercise (>3 hours/week)
  • Excessive intake of alcohol (>7 drinks/week)
  • Substance abuse
  • Metabolic disease (e.g. thyroid disease, heart disease, diabetes, etc.)
  • Medication that could interfere with the outcome variables
  • Eating disorder
  • High restraint eating behavior (score ≥8 for cognitive dietary restraint in the Three-Factor Eating Questionnaire)
  • Irregular eating schedule (e.g. skipping breakfast)
  • Unfamiliar with the use of video games
  • Unable to comply with the protocol
Sexes Eligible for Study: Male
15 Years to 19 Years   (Child, Adult)
Contact information is only displayed when the study is recruiting subjects
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Anders M. Sjödin, MD, PhD, University of Copenhagen
University of Copenhagen
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University of Copenhagen
November 2009

ICMJE     Data element required by the International Committee of Medical Journal Editors and the World Health Organization ICTRP