Social Indicators Research

, Volume 101, Issue 2, pp 221–225 | Cite as

Television Viewing by School-Age Children: Associations with Physical Activity, Snack Food Consumption and Unhealthy Weight

  • Judith E. Brown
  • Jan M. Nicholson
  • Dorothy H. Broom
  • Michael Bittman


Alarm about the increasing prevalence of childhood obesity has focussed attention on individual lifestyle behaviours that may contribute to unhealthy weight. Television viewing is often a focus of the obesity debate. Not only is it sedentary, it also has the potential to influence other lifestyle behaviours either by displacing physical activities or through the consumption of high energy snack foods while watching TV. The research reported here uses data from 2,143 Australian 6–7 year children to examine the lifestyle behaviours associated with excess weight. These children spent 90 min each day watching television, 100 min each day in physical activity, and 39% consumed high levels of snack foods. Nearly one in five (18%) were overweight or obese. After adjustment for family and child characteristics, more time spent watching television was associated with more snacking and less physical activity. However, television viewing was associated with children’s weight status, but snacking and physical activities were not. These findings confirm the existence from a young age, of a cluster of lifestyle behaviours that are associated with unhealthy weight status.


Child obesity Television viewing Lifestyle behaviours Time use diary 


  1. Anderson, P. M., & Butcher, K. F. (2006). Childhood obesity: Trends and potential causes. The Future of Children, 16, 19–45.CrossRefGoogle Scholar
  2. Booth, M. L., Chey, T., Wake, M., Norton, K., Hesketh, K., & Robertson, I. (2003). Change in the prevalence of overweight and obesity among young Australians, 1969–1997. The American Journal of Clinical Nutrition, 77, 29–36.Google Scholar
  3. Burke, V., Beilin, L. J., Simmer, K., Oddy, W. H., Blake, K. V., Doherty, D., et al. (2005). Predictors of body mass index and associations with cardiovascular risk factors in Australian children: a prospective cohort study. International Journal of Obesity, 29, 15–23.CrossRefGoogle Scholar
  4. Cole, T. J., Bellizzi, M. C., Flegal, K. M., & Dietz, W. H. (2000). Establishing a standard definition for child overweight and obesity worldwide: International survey. British Medical Journal, 320(7244), 1240–1243.CrossRefGoogle Scholar
  5. Cutler, D. M., Glaeser, E. L., & Shapiro, J. M. (2003). Why have Americans become more obese? Journal of Economic Perspectives, 17, 93–118.CrossRefGoogle Scholar
  6. Dietz, W. H., Bandimi, L. G., Morelli, J. A., Peers, K. F., & Ching, P. L. (1994). Effect of sedentary activities on resting metabolic rate. American Journal of Clinical Nutrition, 59, 556–559.Google Scholar
  7. Dixon, J., & Broom, D. H. (2007). The seven deadly sins of obesity: How the modern world is making us fat. Sydney: University of New South Wales Press.Google Scholar
  8. Dixon, H. G., Scully, M. L., Wakefield, M. A., White, V. M., & Crawford, D. A. (2007). The effects of television advertisements for junk food versus nutritious food on children’s food attitudes and preferences. Social Science and Medicine, 65(7), 1311–1323.CrossRefGoogle Scholar
  9. Epstein, L. H., Roemmich, J. N., Robinson, J. L., Paluch, M. A., Winiewicz, D. D., Fuerch, J. H., et al. (2008). A randomized trial of the effects of reducing television viewing and computer use on body mass index in young children. Archives of Pediatrics and Adolescent Medicine, 162, 239–245.CrossRefGoogle Scholar
  10. Fertig, A., Glomm, G., & Tchernis, R. (2006). The connection between maternal employment and childhood obesity: Inspecting the mechanisms (No. #2006-020). Center for Applied Economics and Policy Research.Google Scholar
  11. Hesketh, K., Wake, M., & Waters, E. (2004). Body mass index and parent-reported self-esteem in elementary school children: Evidence for a causal relationship. International Journal of Obesity, 28(10), 1233–1237.CrossRefGoogle Scholar
  12. Kan, M. Y. (2008). Measuring housework participation: The gap between “stylised” questionnaire estimates and diary-based estimates. Social Indicators Research, 86, 381–400.CrossRefGoogle Scholar
  13. Lioret, S., Touvier, M., Lafay, L., Volatier, J., & Maire, B. (2008). Dietary and physical activity patterns in French children are related to overweight and socioeconomic status. The Journal of Nutrition, 138, 101–107.Google Scholar
  14. Misson, S., & Sipthorp, M. (2007). Wave 2 weighting and non-response (LSAC technical paper no. 5). Melbourne: Australian Institute of Family Studies.Google Scholar
  15. Olds, T., Ridley, K., & Dollman, J. (2006). Screenie boppers and extreme screenies: The place of screen time in time budgets of 10–13 year-old Australian children. Australian and New Zealand Journal of Public Health, 30(2), 137–142.CrossRefGoogle Scholar
  16. Reilly, J., Armstrong, J., Dorosty, A., Emmett, P., Ness, A., Rogers, I., et al. (2005). Early life risk factors for obesity in childhood: cohort study. BMJ, 330, 1357–1364.CrossRefGoogle Scholar
  17. Robinson, T. N. (1999). Reducing children’s television viewing to prevent obesity: A randomized controlled trial. JAMA, 282, 1561–1567.CrossRefGoogle Scholar
  18. Salmon, J., & Timperio, A. (2005). Trends in children’s physical activity and weight status in high and low socio-economic status areas of Melbourne, Victoria, 1985–2001. Australian and New Zealand Journal of Public Health, 29(4), 337–342.CrossRefGoogle Scholar
  19. Soloff, C., Lawrence, D., & Johnstone, R. (2005). Sample design (LSAC technical paper no. 1) (no. 1832–9918). Melbourne: Australian Institute of Family Studies.Google Scholar
  20. Vandewater, E., Shim, M., & Caplovitz, A. G. (2004). Linking obesity and activity level with children’s television and video game use. Journal of Adolescence, 27, 71–85.CrossRefGoogle Scholar
  21. Wiecha, J. L., Peterson, K. E., Ludwig, D. S., Kim, J., Sobol, A., & Gortmaker, S. L. (2006). When children eat what they watch: Impact of television viewing on dietary intake in youth. Archives of Pediatrics and Adolescent Medicine, 160, 436–442.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media B.V. 2010

Authors and Affiliations

  • Judith E. Brown
    • 1
  • Jan M. Nicholson
    • 2
  • Dorothy H. Broom
    • 3
  • Michael Bittman
    • 1
  1. 1.Discipline of Sociology, School of Behavioural, Cognitive and Social SciencesUniversity of New EnglandArmidaleAustralia
  2. 2.Murdoch Childrens Research InstituteMelbourneAustralia
  3. 3.National Centre for Epidemiology and Population HealthThe Australian National UniversityCanberraAustralia

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