title: Decrease in television viewing predicts lower body mass index at 1-year follow-up in adolescents, but not adults.
abstract: OBJECTIVE
  To examine associations between television viewing, sugar-sweetened beverage consumption, eating out, physical activity, and body weight change over 1 year.
  
  
  METHODS
  Secondary data analysis from randomized intervention trial.
  
  
  METHODS
  Households in the community.
  
  
  METHODS
  Adults (n = 153) and adolescents (n = 72) from the same households.
  
  
  METHODS
  Households were randomized to a home-based obesity prevention intervention or to a no-intervention control group for a 1-year period.
  
  
  METHODS
  Self-reported television viewing (TV) hours, diet, and physical activity. Body mass index (BMI) computed from measured weight and height (primary outcome measure).
  
  
  METHODS
  Mixed-model regression.
  
  
  RESULTS
  Among adolescents, a significant prospective association was observed between decreases in television viewing hours and lower BMI z score at 1-year follow-up (decreased TV hours: BMI z score mean = 0.65; no change or increase TV hours: BMI z score = 0.92; P < .02). No significant prospective associations were observed among adults.
  
  
  CONCLUSIONS
  Reducing television viewing may be an effective strategy to prevent excess weight gain among adolescents.
authors.affiliation: Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN 55454, USA. frenc001@umn.edu
authors.forename: Simone A
authors.initials: SA
authors.lastname: French
authors.forename: Nathan R
authors.initials: NR
authors.lastname: Mitchell
authors.forename: Peter J
authors.initials: PJ
authors.lastname: Hannan
mesh_terms: D000293:Adolescent; D000328:Adult; D015992:Body Mass Index; D016000:Cluster Analysis; D004032:Diet; D015444:Exercise / Q000502:physiology; D005247:Feeding Behavior; D005260:Female; D005500:Follow-Up Studies; D015438:Health Behavior; D006801:Humans; D008297:Male; D009765:Obesity / Q000517:prevention & control*; D011446:Prospective Studies; D012044:Regression Analysis; D057185:Sedentary Behavior; D013690:Television / Q000706:statistics & numerical data*; D015430:Weight Gain