Young children's screen habits are associated with consumption of sweetened beverages independently of parental norms

Int J Public Health. 2014 Feb;59(1):67-75. doi: 10.1007/s00038-013-0473-2. Epub 2013 Apr 27.

Abstract

Objectives: This study investigated the associations between children's screen habits and their consumption of sweetened beverages. Because parents might be disposed to regulate their child's screen and dietary habits in a similar direction, our specific aim was to examine whether these associations were independent of parental norms.

Methods: In the Swedish sample of the European Identification and prevention of dietary and lifestyle-induced health effects in children and infants (IDEFICS) study, parents filled in questionnaires about their 2 to 9-year-old children's (n = 1,733) lifestyle and diets.

Results: Associations between screen habits and sweetened beverage consumption were found independent of parental norms regarding sweetened beverages. A longitudinal analysis revealed that sweetened beverage consumption at 2-year follow-up was predicted by exposure to commercial TV at baseline (OR 1.4, 95 % CI 1.1-1.9). Cross-sectional analysis showed that the likelihood of consuming sweetened beverages at least 1-3 times per week increased for each hour/day watching television (OR 1.5, 95 % CI 1.2-1.9), and for being exposed to commercials (OR 1.6, 95 % CI 1.3-2.1). TV viewing time and commercial exposure contributed to the associations independently of each other.

Conclusions: The results strengthen the assumption that it is possible to influence children's dietary habits through their TV habits.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Carbonated Beverages / statistics & numerical data*
  • Child
  • Child, Preschool
  • Computers / statistics & numerical data*
  • Confidence Intervals
  • Cross-Sectional Studies
  • Female
  • Humans
  • Male
  • Odds Ratio
  • Parent-Child Relations*
  • Surveys and Questionnaires
  • Sweden
  • Television / statistics & numerical data*