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Relationship between a range of sedentary behaviours and blood pressure during early adolescence

Abstract

Very few studies have explored links between physical activity, sedentary behaviours and blood pressure (BP) in early adolescence. We aimed to assess the association between a range of sedentary activities (screen time, television (TV) viewing, computer usage, video game usage and time spent in homework or reading) and BP in schoolchildren. Eligible year-7 students (2353/3144, mean age 12.7 years) from a random cluster sample of 21 Sydney schools were examined during 2003–2005. Parents and children completed detailed questionnaires of activity. BP was measured using a standard protocol and high BP was defined using published guidelines. Height and weight were measured, and body mass index (BMI) calculated. After adjusting for age, sex, ethnicity, parental education, height, BMI and time spent in physical activity, each hour per day spent in screen time, watching TV and playing video games was associated with a significant increase in diastolic BP of 0.44 (P=0.0001), 0.99 (P<0.0001) and 0.64 mm Hg (P=0.04), respectively. In contrast, each hour per day spent reading was associated with a decrease of 0.91 (P=0.01) and 0.69 mm Hg (P=0.02) in systolic and diastolic BP, respectively. Our results indicate that addressing different types of sedentary activities could be a potentially important strategy to reduce the prevalence of elevated BP in children.

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References

  1. Raitakari OT, Juonala M, Kahonen M, Taittonen L, Laitinen T, Maki-Torkko N et al. Cardiovascular risk factors in childhood and carotid artery intima-media thickness in adulthood: the cardiovascular risk in young Finns study. JAMA 2003; 290: 2277–2283.

    Article  CAS  Google Scholar 

  2. Berenson GS, Srinivasan SR, Bao W, Newman WP, Tracy RE, Wattigney WA . Association between multiple cardiovascular risk factors and atherosclerosis in children and young adults. The Bogalusa Heart Study. N Engl J Med 1998; 338: 1650–1656.

    Article  CAS  PubMed  Google Scholar 

  3. Brion MA,, Ness AR, Davey SG, Leary SD . Association between body composition and blood pressure in a contemporary cohort of 9-year-old children. J Hum Hypertens 2007; 21: 283–290.

    Article  CAS  PubMed  Google Scholar 

  4. Labarthe DR . Prevention of cardiovascular risk factors in the first place. Prev Med 1999; 29: S72–S78.

    Article  CAS  PubMed  Google Scholar 

  5. Chiolero A, Paradis G, Madeleine G, Hanley JA, Paccaud F, Bovet P . Discordant secular trends in elevated blood pressure and obesity in children and adolescents in a rapidly developing country. Circulation 2009; 119: 558–565.

    Article  Google Scholar 

  6. Cui J, Hopper JL, Harrap SB . Genes and family environment explain correlations between blood pressure and body mass index. Hypertension 2002; 40: 7–12.

    Article  CAS  Google Scholar 

  7. He FJ, Marrero NM, Macgregor GA . Salt and blood pressure in children and adolescents. J Hum Hypertens 2008; 22: 4–11.

    Article  CAS  PubMed  Google Scholar 

  8. Mark AE, Janssen I . Dose-response relation between physical activity and blood pressure in youth. Med Sci Sports Exerc 2008; 40: 1007–1012.

    Article  Google Scholar 

  9. Flores-Huerta S, Klunder-Klunder M, Reyes de la Cruz L, Santos JI . Increase in body mass index and waist circumference is associated with high blood pressure in children and adolescents in Mexico city. Arch Med Res 2009; 40: 208–215.

    Article  Google Scholar 

  10. Sorof JM, Lai D, Turner J, Poffenbarger T, Portman RJ . Overweight, ethnicity, and the prevalence of hypertension in school-aged children. Pediatrics 2004; 113: 475–482.

    Article  Google Scholar 

  11. Denney-Wilson E, Hardy LL, Dobbins T, Okely AD, Baur LA . Body mass index, waist circumference, and chronic disease risk factors in Australian adolescents. Arch Pediatr Adolesc Med 2008; 162: 566–573.

    Article  Google Scholar 

  12. Burke V, Beilin LJ, Simmer K, Oddy WH, Blake KV, Doherty D et al. Predictors of body mass index and associations with cardiovascular risk factors in Australian children: a prospective cohort study. Int J Obes Relat Metab Disord 2005; 29: 15–23.

    Article  CAS  Google Scholar 

  13. Trost SG, Kerr LM, Ward DS, Pate RR . Physical activity and determinants of physical activity in obese and non-obese children. Int J Obes Relat Metab Disord 2001; 25: 822–829.

    Article  CAS  Google Scholar 

  14. Wake M, Hesketh K, Waters E . Television, computer use and body mass index in Australian primary school children. J Paediatr Child Health 2003; 39: 130–134.

    Article  CAS  Google Scholar 

  15. Martinez-Gomez D, Tucker J, Heelan KA, Welk GJ, Eisenmann JC . Associations between sedentary behavior and blood pressure in young children. Arch Pediatr Adolesc Med 2009; 163: 724–730.

    Article  Google Scholar 

  16. Guillaume M, Lapidus L, Bjorntorp P, Lambert A . Physical activity, obesity, and cardiovascular risk factors in children. The Belgian Luxembourg Child Study II. Obes Res 1997; 5: 549–556.

    Article  CAS  Google Scholar 

  17. Wells JC, Hallal PC, Reichert FF, Menezes AM, Araujo CL, Victora CG . Sleep patterns and television viewing in relation to obesity and blood pressure: evidence from an adolescent Brazilian birth cohort. Int J Obes (Lond) 2008; 32: 1042–1049.

    Article  CAS  Google Scholar 

  18. Pardee PE, Norman GJ, Lustig RH, Preud’homme D, Schwimmer JB . Television viewing and hypertension in obese children. Am J Prev Med 2007; 33: 439–443.

    Article  PubMed  Google Scholar 

  19. Ekelund U, Brage S, Froberg K, Harro M, Anderssen SA, Sardinha LB et al. TV viewing and physical activity are independently associated with metabolic risk in children: the European Youth Heart Study. PLoS Med 2006; 3: e488.

    Article  PubMed  Google Scholar 

  20. Ojaimi E, Rose KA, Smith W, Morgan IG, Martin FJ, Mitchell P . Methods for a population-based study of myopia and other eye conditions in school children: the Sydney Myopia Study. Ophthalmic Epidemiol 2005; 12: 59–69.

    Article  Google Scholar 

  21. Pickering TG, Hall JE, Appel LJ, Falkner BE, Graves J, Hill MN et al. Recommendations for blood pressure measurement in humans and experimental animals: Part 1: blood pressure measurement in humans: a statement for professionals from the Subcommittee of Professional and Public Education of the American Heart Association Council on High Blood Pressure Research. Hypertension 2005; 45: 142–161.

    Article  CAS  Google Scholar 

  22. National High Blood Pressure Education Program Working Group on High Blood Pressure in Children and Adolescents. The fourth report on the diagnosis, evaluation, and treatment of high blood pressure in children and adolescents. Pediatrics 2004; 114: 555–576.

    Article  Google Scholar 

  23. Ogden CL, Kuczmarski RJ, Flegal KM, Mei Z, Guo S, Wei R et al. Centers for Disease Control and Prevention 2000 growth charts for the United States: improvements to the 1977 National Center for Health Statistics version. Pediatrics 2002; 109: 45–60.

    Article  Google Scholar 

  24. ABS. Australian Standard Classification of Cultural and Ethnic Groups (ASCCEG) 2005, 2nd edn. (1249.0) Commonwealth of Australia: Canberra, pp 1–134.

  25. Ojaimi E, Rose KA, Morgan IG, Smith W, Martin FJ, Kifley A et al. Distribution of ocular biometric parameters and refraction in a population-based study of Australian children. Invest Ophthalmol Vis Sci 2005; 46: 2478–2754.

    Google Scholar 

  26. Cole TJ, Bellizzi MC, Flegal KM, Dietz WH . Establishing a standard definition for child overweight and obesity worldwide: international survey. BMJ 2000; 320: 1240–1243.

    Article  CAS  PubMed  Google Scholar 

  27. Wang X, Perry AC . Metabolic and physiologic responses to video game play in 7- to 10-year-old boys. Arch Pediatr Adolesc Med 2006; 160: 411–415.

    Article  Google Scholar 

  28. Matheson DM, Killen JD, Wang Y, Varady A, Robinson TN . Children's food consumption during television viewing. Am J Clin Nutr 2004; 79: 1088–1094.

    Article  CAS  Google Scholar 

  29. Wiecha JL, Peterson KE, Ludwig DS, Kim J, Sobol A, Gortmaker SL . When children eat what they watch: impact of television viewing on dietary intake in youth. Arch Pediatr Adolesc Med 2006; 160: 436–442.

    Article  Google Scholar 

  30. Singer MI, Slovak K, Frierson T, York P . Viewing preferences, symptoms of psychological trauma, and violent behaviors among children who watch television. J Am Acad Child Adolesc Psychiatry 1998; 37: 1041–1048.

    Article  CAS  Google Scholar 

  31. Roemmich JN, Wright SM, Epstein LH . Dietary restraint and stress-induced snacking in youth. Obes Res 2002; 10: 1120–1126.

    Article  Google Scholar 

  32. Brett SE, Ritter JM, Chowienczyk PJ . Diastolic blood pressure changes during exercise positively correlate with serum cholesterol and insulin resistance. Circulation 2000; 101: 611–615.

    Article  CAS  Google Scholar 

  33. Chomitz VR, Slining MM, McGowan RJ, Mitchell SE, Dawson GF, Hacker KA . Is there a relationship between physical fitness and academic achievement? Positive results from public school children in the northeastern United States. J Sch Health 2009; 79: 30–37.

    Article  Google Scholar 

  34. Law CM, de Swiet M, Osmond C, Fayers PM, Barker DJ, Cruddas AM et al. Initiation of hypertension in utero and its amplification throughout life. BMJ 1993; 306: 24–27.

    Article  CAS  PubMed  Google Scholar 

  35. Berenson GS, Srnivasan SR . Cardiovascular risk factors in youth with implications for aging: the Bogalusa Heart Study. Neurobiol Aging 2005; 26: 303–307.

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

The Sydney Myopia Study (Sydney Childhood Eye Study) was supported by the Australian National Health & Medical Research Council (Grant no. 253732); the Westmead Millennium Institute, University of Sydney and the Vision Co-operative Research Centre, University of New South Wales, Sydney, Australia.

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Correspondence to P Mitchell.

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Gopinath, B., Baur, L., Hardy, L. et al. Relationship between a range of sedentary behaviours and blood pressure during early adolescence. J Hum Hypertens 26, 350–356 (2012). https://doi.org/10.1038/jhh.2011.40

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  • DOI: https://doi.org/10.1038/jhh.2011.40

Keywords

  • blood pressure
  • sedentary behaviour
  • screen time
  • television viewing
  • children
  • Sydney Childhood Eye Study

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