title: Active Gaming Among High School Students--United States, 2010.
abstract: OBJECTIVE
  Our study is the first to describe the prevalence and correlates (demographics, body mass index [BMI], sedentary behaviors, and physical activity) of high school youth who report active videogame playing (active gaming) in a U.S. representative sample.
  
  
  METHODS
  The National Youth Physical Activity and Nutrition Study of 2010 provided data for this study. Active gaming was assessed as the number of days in the 7 days prior to the survey that students in grades 9-12 (14-18 years of age) reported participating in active videogames (e.g., "Wii™ Fit" [Nintendo, Kyoto, Japan], "Dance Dance Revolution" [Konami, Osaka, Japan]). Students reporting ≥1 days were classified as active gamers. Logistic regression was used to examine the association among active gaming and demographic characteristics, BMI, sedentary behaviors, and physical activity.
  
  
  RESULTS
  Among 9125 U.S. high school students in grades 9-12 surveyed, 39.9 percent (95 percent confidence interval=37.9 percent, 42.0 percent) reported active gaming. Adjusting for covariates, the following characteristics were positively associated (P<0.05) with active gaming: being in 9th and 10th grades compared with being in 12th grade; being of black, non-Hispanic race/ethnicity; being overweight or obese; watching DVDs >0 hours/day; watching TV >0 hours/day; and meeting guidelines for aerobic and muscle-strengthening physical activity.
  
  
  CONCLUSIONS
  Four out of 10 U.S. high school students report participating in active gaming. Active gamers tend to spend more time watching DVDs or TV, meet guidelines for physical activity, and/or be overweight or obese compared with nonactive gamers. These findings may serve to provide a baseline to track active gaming in U.S. youth and inform interventions that target sedentary behaviors and/or physical activity.
authors.affiliation: 1 School of Nursing, University of Michigan , Ann Arbor, Michigan.|2 Epidemic Intelligence Service, Centers for Disease Control and Prevention , Atlanta, Georgia .|3 Division of Nutrition, Physical Activity, and Obesity, Centers for Disease Control and Prevention , Atlanta, Georgia .
authors.forename: MinKyoung
authors.initials: M
authors.lastname: Song
authors.affiliation: 4 Division of Human Development and Disability, Centers for Disease Control and Prevention , Atlanta, Georgia .|5 Commissioned Corps, U.S. Public Health Service , Atlanta, Georgia .
authors.forename: Dianna D
authors.initials: DD
authors.lastname: Carroll
authors.affiliation: 6 Division of Population Health, Centers for Disease Control and Prevention , Atlanta, Georgia .
authors.forename: Sarah M
authors.initials: SM
authors.lastname: Lee
authors.affiliation: 3 Division of Nutrition, Physical Activity, and Obesity, Centers for Disease Control and Prevention , Atlanta, Georgia .
authors.forename: Janet E
authors.initials: JE
authors.lastname: Fulton
mesh_terms: D000367:Age Factors; D015992:Body Mass Index; D003710:Demography / Q000706:statistics & numerical data*; D015444:Exercise; D015438:Health Behavior; D006801:Humans; D050177:Overweight; D044469:Racial Groups; D013334:Students / Q000706:statistics & numerical data*; D011795:Surveys and Questionnaires; D018910:Video Games / Q000706:statistics & numerical data*