Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Original Article
  • Published:

Television viewing and obesity: a prospective study in the 1958 British birth cohort

Abstract

Objective:

To assess whether frequency of television viewing in adolescence (11 and 16 years) or early adulthood (23 years) affected subsequent changes in body mass index (BMI) through to mid-adulthood life, and waist–hip ratio in mid-adulthood.

Subjects:

The 1958 British birth cohort includes all births in 1 week in March 1958 in England, Scotland and Wales. The main analyses included at least 11 301 participants. Outcome measures included BMI at 16, 23, 33 and 45 years and waist–hip ratio at 45 years.

Results:

Watching television ‘often’ at 16 years (but not 11 years) was associated with a faster gain in BMI between 16 and 45 years in males (0.011 kg m−2 per year, 95% confidence interval (CI) 0.003, 0.019) and females (0.013 kg m−2 per year, 95%CI 0.003, 0.023). More frequent television viewing at 11, 16 and 23 years was associated with a faster gain in BMI between 23 and 45 years in females, but not in males. Television viewing at 23 years was associated with waist–hip ratio at 45 years: participants watching 5 times per week had a waist–hip ratio 0.01 higher than those watching less often. At 45 years, those watching television for 4 h day−1 had a waist–hip ratio 0.03–0.04 higher than those watching for <1 h day−1.

Conclusions:

More frequent television viewing in adolescence and early adulthood is associated with greater BMI gains through to mid-adulthood and with central adiposity in mid-life. Television viewing may be a useful behaviour to target in strategies to prevent obesity.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Similar content being viewed by others

References

  • Bell AC, Kremer PJ, Magarey AM, Swinburn BA (2005). Contribution of ‘noncore’ foods and beverages to the energy intake and weight status of Australian children. Eur J Clin Nutr 59, 639–645.

    Article  CAS  Google Scholar 

  • Berkey CS, Rockett HR, Field AE, Gillman MW, Frazier AL, Camargo Jr CA et al. (2000). Activity, dietary intake, and weight changes in a longitudinal study of preadolescent and adolescent boys and girls. Pediatrics 105, E56.

    Article  CAS  Google Scholar 

  • Berkey CS, Rockett HR, Gillman MW, Colditz GA (2003). One-year changes in activity and in inactivity among 10- to 15-year-old boys and girls: relationship to change in body mass index. Pediatrics 111, 836–843.

    Article  Google Scholar 

  • Canoy D, Luben R, Welch A, Bingham S, Wareham N, Day N et al. (2004). Fat distribution, body mass index and blood pressure in 22 090 men and women in the Norfolk cohort of the European Prospective Investigation into Cancer and Nutrition (EPIC-Norfolk) study. J Hypertens 22, 2067–2074.

    Article  CAS  Google Scholar 

  • Church J, Jackson J, Jackson V, Kershaw A, Lillistone C, Manners AM et al. (2001). Social Trends 31. The Stationary Office: London http://www.statistics.gov.uk/products/p5748.asp.

    Google Scholar 

  • Ferri E (1993). Life at 33: the Fifth Follow-Up of the National Child Development Study. National Children's Bureau: London.

    Google Scholar 

  • Foster JA, Gore SA, West DS (2006). Altering TV viewing habits: an unexplored strategy for adult obesity intervention? Am J Health Behav 30, 3–14.

    Article  Google Scholar 

  • Guillaume M, Lapidus L, Lambert A (1998). Obesity and nutrition in children. The Belgian Luxembourg Child Study IV. Eur J Clin Nutr 52, 323–328.

    Article  CAS  Google Scholar 

  • Hancox RJ, Milne BJ, Poulton R (2004). Association between child and adolescent television viewing and adult health: a longitudinal birth cohort study. Lancet 364, 257–262.

    Article  Google Scholar 

  • Hancox RJ, Poulton R (2006). Watching television is associated with childhood obesity: but is it clinically important? Int J Obes 30, 171–175.

    Article  CAS  Google Scholar 

  • Horn OK, Paradis G, Potvin L, Macaulay AC, Desrosiers S (2001). Correlates and predictors of adiposity among Mohawk children. Prev Med 33, 274–281.

    Article  CAS  Google Scholar 

  • Jago R, Baranowski T, Baranowski JC, Thompson D, Greaves KA (2005). BMI from 3–6 years of age is predicted by TV viewing and physical activity, not diet. Int J Obes 29, 557–564.

    Article  CAS  Google Scholar 

  • Jakes RW, Day NE, Khaw KT, Luben R, Oakes S, Welch A et al. (2003). Television viewing and low participation in vigorous recreation are independently associated with obesity and markers of cardiovascular disease risk: EPIC-Norfolk population-based study. Eur J Clin Nutr 57, 1089–1096.

    Article  CAS  Google Scholar 

  • Jefferis B, Graham H, Manor O, Power C (2003). Cigarette consumption and socio-economic circumstances in adolescence as predictors of adult smoking. Addiction 98, 1765–1772.

    Article  CAS  Google Scholar 

  • Jefferis BJ, Power C, Graham H, Manor O (2004a). Changing social gradients in cigarette smoking and cessation over two decades of adult follow-up in a British birth cohort. J Public Health (Oxford) 26, 13–18.

    Article  Google Scholar 

  • Jefferis BJ, Power C, Graham H, Manor O (2004b). Effects of childhood socioeconomic circumstances on persistent smoking. Am J Public Health 94, 279–285.

    Article  Google Scholar 

  • Jefferis BJ, Power C, Manor O (2005). Adolescent drinking level and adult binge drinking in a national birth cohort. Addiction 100, 543–549.

    Article  CAS  Google Scholar 

  • Kaur H, Choi WS, Mayo MS, Harris KJ (2003). Duration of television watching is associated with increased body mass index. J Pediatr 143, 506–511.

    Article  Google Scholar 

  • Kronenberg F, Pereira MA, Schmitz MK, Arnett DK, Evenson KR, Crapo RO et al. (2000). Influence of leisure time physical activity and television watching on atherosclerosis risk factors in the NHLBI Family Heart Study. Atherosclerosis 153, 433–443.

    Article  CAS  Google Scholar 

  • Lake JK, Power C, Cole TJ (1997). Child to adult body mass index in the 1958 British birth cohort: associations with parental obesity. Arch Dis Child 77, 376–381.

    Article  CAS  Google Scholar 

  • Lobstein T, Baur L, Uauy R (2004). Obesity in children and young people: a crisis in public health. Obes Rev 5 (Suppl 1), 4–104.

    Article  Google Scholar 

  • Marshall SJ, Biddle SJ, Gorely T, Cameron N, Murdey I (2004). Relationships between media use, body fatness and physical activity in children and youth: a meta-analysis. Int J Obes 28, 1238–1246.

    Article  CAS  Google Scholar 

  • Parsons TJ, Manor O, Power C (2006a). Physical activity and change in body mass index from adolescence to mid-adulthood in the 1958 British cohort. Int J Epidemiol 35, 197–204.

    Article  Google Scholar 

  • Parsons TJ, Power C, Logan S, Summerbell CD (1999). Childhood predictors of adult obesity: a systematic review. Int J Obes 23 (Suppl 8), S1–S107.

    Google Scholar 

  • Parsons TJ, Power C, Manor O (2005). Physical activity, television viewing and body mass index: a cross sectional analysis from childhood to adulthood in the 1958 British cohort. Int J Obes 29, 1212–1221.

    Article  CAS  Google Scholar 

  • Parsons TJ, Power C, Manor O (2006b). Longitudinal physical activity and diet patterns in the 1958 British Birth Cohort. Med Sci Sport Exerc 38, 547–554.

    Article  Google Scholar 

  • Phillips SM, Bandini LG, Naumova EN, Cyr H, Colclough S, Dietz WH et al. (2004). Energy-dense snack food intake in adolescence: longitudinal relationship to weight and fatness. Obes Res 12, 461–472.

    Article  Google Scholar 

  • Power C, Elliott J (2006). Cohort profile: 1958 British birth cohort (National Child Development Study). Int J Epidemiol 35, 34–41.

    Article  Google Scholar 

  • Power C, Manor O, Matthews S (2003). Child to adult socioeconomic conditions and obesity in a national cohort. Int J Obes 27, 1081–1086.

    Article  CAS  Google Scholar 

  • Proctor MH, Moore LL, Gao D, Cupples LA, Bradlee ML, Hood MY et al. (2003). Television viewing and change in body fat from preschool to early adolescence: The Framingham Children's Study. Int J Obes 27, 827–833.

    Article  CAS  Google Scholar 

  • Rasbash J, Browne W, Goldstein H (2000). A User's Guide to MlwiN.2. Institute of Education: London.

    Google Scholar 

  • Robinson TN (1999). Reducing children's television viewing to prevent obesity: a randomized controlled trial. JAMA 282, 1561–1567.

    Article  CAS  Google Scholar 

  • Salmon J, Bauman A, Crawford D, Timperio A, Owen N (2000). The association between television viewing and overweight among Australian adults participating in varying levels of leisure-time physical activity. Int J Obes 24, 600–606.

    Article  CAS  Google Scholar 

  • Snijder MB, Dekker JM, Visser M, Bouter LM, Stehouwer CD, Kostense PJ et al. (2003). Associations of hip and thigh circumferences independent of waist circumference with the incidence of type 2 diabetes: the Hoorn Study. Am J Clin Nutr 77, 1192–1197.

    Article  CAS  Google Scholar 

  • Viner RM, Cole TJ (2005). Television viewing in early childhood predicts adult body mass index. J Pediatr 147, 429–435.

    Article  Google Scholar 

  • Welborn TA, Dhaliwal SS, Bennett SA (2003). Waist–hip ratio is the dominant risk factor predicting cardiovascular death in Australia. Med J Aust 179, 580–585.

    Google Scholar 

  • World Health Organization (1998). Obesity: Preventing and Managing the Global Epidemic. Report of a WHO consultation, Geneva, 3–5 June 1997, WHO: Geneva.

Download references

Acknowledgements

Data were obtained from the UK Data Archive, University of Essex (files: National Child Development Study, SN 3148, SN 4396). The following are the data providers: Centre for Longitudinal Studies, Institute of Education and National Birthday Trust Fund, National Children's Bureau, City University Social Statistics Research Unit (original data producers). Data collection at 45 years was funded by the Medical Research Council, Grant G0000934. Research at the Institute of Child Health and Great Ormond Street Hospital for Children NHS Trust benefits from R&D funding received from the NHS Executive. Medical Research Council, UK (Special training fellowship held by T Parsons).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to T J Parsons.

Additional information

Contributors: TJP, OM and CP jointly developed the idea for the study, and planned the analysis. TJP did the analysis and wrote the first draft of the paper. All the authors contributed to the final version. All authors declare no conflict of interest.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Parsons, T., Manor, O. & Power, C. Television viewing and obesity: a prospective study in the 1958 British birth cohort. Eur J Clin Nutr 62, 1355–1363 (2008). https://doi.org/10.1038/sj.ejcn.1602884

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/sj.ejcn.1602884

Keywords

This article is cited by

Search

Quick links