Cited by 119Obesity, Physical Activity, DietPhysical Activity and HealthChild Development and Digital Technology

Adiposity and different types of screen time

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Falbe, Jennifer, Rosner, Bernard, Willett, Walter C., Sonneville, Kendrin R., Hu, Frank B., Field, Alison E.·2013·Pediatrics

Abstract

OBJECTIVE: Few prospective studies have examined separate forms of screen time in relation to adiposity. Our objective was to assess independent relations of television, electronic games (video/computer), and digital versatile disc (DVD)/videos and total screen time with change in adolescent BMI. METHODS: Using data from the 2004, 2006, and 2008 waves of the ongoing Growing up Today Study II, we assessed baseline and 2-year change in reported screen time in relation to concurrent change in BMI among 4287 girls and 3505 boys aged 9 to 16 years in 2004. Gender-specific models adjusted for previous BMI, age, race/ethnicity, growth/development, months between questionnaires, and physical activity. RESULTS: Among girls and boys, each hour per day increase in reported television viewing was associated with a 0.09 increase in BMI (Ps < .001), and each hour per day increase in total screen time was associated with a 0.07 increase among girls and 0.05 increase among boys (Ps < .001). Among girls only, greater baseline television, games, and total screen time and change in DVDs/videos were associated with gains in BMI (Ps < .05). BMI gains associated with change in television and total screen time were stronger among overweight girls than lean girls (Ps-heterogeneity < .001). CONCLUSIONS: Television, which remains the steadiest source of food advertising, was most consistently associated with BMI gains. Among girls, electronic games and DVDs/videos were also related to increased BMI, possibly due to influences of product placements and advergames on diet and/or distracted eating. Adolescents, especially overweight adolescents, may benefit from reduced time with multiple types of media.

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  1. [25]25. PQMedia. Global product placement spend- ing up 10% to $7.4 billion in 2011, pacing for 11% growth in 2012, as wireless technology, changing consumer habits & looser regu- lations compel brands to invest in alterna- tive marketing solutions. December 4, 2012. Available at: www.pqmedia.com/about-press- 201212.html. Accessed February 8, 2013
  2. [53]53. Kovacic WE, Harbour PJ, Leibowitz J, Rosch TJ. Marketing Food to Children and Ado- lescents: A Review of Industry Expenditures, Activities, and Self-Regulation. A Report to Congress. Washington, DC: Federal Trade Commission; 2008

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Authors
Falbe, J., Rosner, B., Willett, W. C., Sonneville, K. R., Hu, F. B., & Field, A. E.
Affiliations
  • Harvard University (US)
  • Brigham and Women's Hospital (US)
  • Boston Children's Hospital (US)
Venue
Pediatrics
Published
2013-12-01
Volume
132
Issue
6
Pages
e1497-e1505
ISSN
  • 0031-4005 (ISSN-L)
  • 1098-4275
OpenAlex
W2044364969
Cited by
119
References
56
Citations by year
2026: 3 · 2025: 4 · 2024: 8 · 2023: 6 · 2022: 10 · 2021: 17 · 2020: 12 · 2019: 10 · 2018: 13 · 2017: 7 · 2016: 12 · 2015: 10 · 2014: 6
FWCI
9.52
Type
journal article
Language
en
Open access
Locations
  • PEDIATRICS (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • eScholarship (California Digital Library) (submittedVersion)
Funders
  • Breast Cancer Research Foundation
  • National Institutes of Health
  • National Institute of Diabetes and Digestive and Kidney Diseases (DK007703., R01DK084001, DK084001, T32DK007703)
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
  • Health Sciences › Medicine › Physiology › Physical Activity and Health
  • Social Sciences › Education › Child Development and Digital Technology
Keywords
screen time, adiposity, body mass index, television viewing, video games, adolescents, overweight, food advertising, advergaming, product placement, sex differences
MeSH terms
Adolescent, Child, Female, Follow-Up Studies, Humans, Male, Surveys and Questionnaires, Television, Videodisc Recording, Videotape Recording, Weight Gain, Body Mass Index, Multivariate Analysis, Linear Models, Video Games, Adiposity, Overweight, Young Adult, Self Report

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