Characteristics of Screen Media Use Associated With Higher BMI in Young Adolescents

• Published in: Pediatrics (Evanston) 2013-05, Vol.131 (5), p.935-941
• Main Authors: BICKHAM, David S, BLOOD, Emily A, WALLS, Courtney E, SHRIER, Lydia A, RICH, Michael
• Format: Article
• Language: English
• Subjects: Adolescent; Adolescent Behavior; Age Factors; Anthropometry; Biological and medical sciences; Body Mass Index; Care and treatment; Childrens health; Computers - statistics & numerical data; Consumer electronics; Cross-Sectional Studies; Female; General aspects; Health aspects; Humans; Male; Measurement; Medical sciences; Metabolic diseases; Needs Assessment; Obesity; Obesity - epidemiology; Obesity - etiology; Pediatrics; Prevention and actions; Psychological aspects; Public health. Hygiene; Public health. Hygiene-occupational medicine; Risk Assessment; Sedentary Behavior; Sex Factors; Surveys and Questionnaires; Teenagers; Television - statistics & numerical data; United States; User behavior; Video games; Video Games - adverse effects; Video Games - statistics & numerical data; Youth
• ISSN: 0031-4005; 1098-4275; 1098-4275
• DOI: 10.1542/peds.2012-1197

This study investigates how characteristics of young adolescents' screen media use are associated with their BMI. By examining relationships between BMI and both time spent using each of 3 screen media and level of attention allocated to use, we sought to contribute to the understanding of mechanisms linking media use and obesity. We measured heights and weights of 91 13- to 15-year-olds and calculated their BMIs. Over 1 week, participants completed a weekday and a Saturday 24-hour time-use diary in which they reported the amount of time they spent using TV, computers, and video games. Participants carried handheld computers and responded to 4 to 7 random signals per day by completing onscreen questionnaires reporting activities to which they were paying primary, secondary, and tertiary attention. Higher proportions of primary attention to TV were positively associated with higher BMI. The difference between 25th and 75th percentiles of attention to TV corresponded to an estimated +2.4 BMI points. Time spent watching television was unrelated to BMI. Neither duration of use nor extent of attention paid to video games or computers was associated with BMI. These findings support the notion that attention to TV is a key element of the increased obesity risk associated with TV viewing. Mechanisms may include the influence of TV commercials on preferences for energy-dense, nutritionally questionable foods and/or eating while distracted by TV. Interventions that interrupt these processes may be effective in decreasing obesity among screen media users.