Skip to main content
Log in

The population-based prevalence of hypertension and correlates of blood pressure among Australian children

  • Original Article
  • Published:
Pediatric Nephrology Aims and scope Submit manuscript

Abstract

Objective

Hypertension is increasingly recognized as a disease spanning the entire life course. Continued efforts to refine the diagnosis and management of hypertension in children are highlighted by the recent American Academy of Pediatrics (AAP) guidelines, which include lower threshold values than the previous reference standard (Fourth Report). We aimed to determine the population-based prevalence of children exceeding thresholds for hypertension using these two guidelines. We also sought to identify the correlates of blood pressure (BP) among Australian children.

Methods

Cross-sectional data from the Growing Up in Australia: Longitudinal Survey of Australian Children were analyzed. Blood pressure was measured in 7139 Australian children aged 10–12 years and sampled using population-based methodology. The association between BP and explanatory variables linked to BP in other populations was examined using multiple linear regression with fractional polynomial terms for continuous, non-linear relationships.

Results

The threshold for hypertension was exceeded in 3.1% and 5.4%, and prehypertension in 3.0% and 3.7% of children, using the Fourth Report and AAP guidelines respectively. Children at the threshold for obesity had a 9.1 mmHg higher adjusted BP than those on the 50th centile for body mass index (BMI) (95% CI 8.4 to 9.9). BMI had a non-linear relationship with BP, and the magnitude of association between BMI and BP increased with BMI. Socioeconomic status, hypertension during pregnancy, birth weight, and sports participation were also independently associated with BP.

Conclusions

Using the AAP guidelines is likely to substantially increase the population prevalence of hypertension. The association between BMI and BP was strongest and non-linear for obese children, who should be the focus of interventional trials.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. Olsen MH, Angell SY, Asma S, Boutouyrie P, Burger D, Chirinos JA, Damasceno A, Delles C, Gimenez-Roqueplo A-P, Hering D, López-Jaramillo P, Martinez F, Perkovic V, Rietzschel ER, Schillaci G, Schutte AE, Scuteri A, Sharman JE, Wachtell K, Wang JG (2016) A call to action and a lifecourse strategy to address the global burden of raised blood pressure on current and future generations: the Lancet Commission on hypertension. Lancet 388:2665–2712

    Article  PubMed  Google Scholar 

  2. Rapsomaniki E, Timmis A, George J, Pujades-Rodriguez M, Shah AD, Denaxas S, White IR, Caulfield MJ, Deanfield JE, Smeeth L, Williams B, Hingorani A, Hemingway H (2014) Blood pressure and incidence of twelve cardiovascular diseases: lifetime risks, healthy life-years lost, and age-specific associations in 1·25 million people. Lancet 383:1899–1911

    Article  PubMed  PubMed Central  Google Scholar 

  3. Larkins N, Craig J (2018) Cohort studies, meta-analyses, and clinical trials in childhood hypertension. In: Flynn J, Ingelfinger J, Redwine K (eds) Pediatric hypertension. Springer, Cham, pp 819–839

    Chapter  Google Scholar 

  4. Lim SS, Vos T, Flaxman AD, Danaei G, Shibuya K, Adair-Rohani H, Amann M, Anderson HR, Andrews KG, Aryee M, Atkinson C, Bacchus LJ, Bahalim AN, Balakrishnan K, Balmes J, Barker-Collo S, Baxter A, Bell ML, Blore JD, Blyth F, Bonner C, Borges G, Bourne R, Boussinesq M, Brauer M, Brooks P, Bruce NG, Brunekreef B, Bryan-Hancock C, Bucello C, Buchbinder R, Bull F, Burnett RT, Byers TE, Calabria B, Carapetis J, Carnahan E, Chafe Z, Charlson F, Chen H, Chen JS, Cheng AT, Child JC, Cohen A, Colson KE, Cowie BC, Darby S, Darling S, Davis A, Degenhardt L, Dentener F, Des Jarlais DC, Devries K, Dherani M, Ding EL, Dorsey ER, Driscoll T, Edmond K, Ali SE, Engell RE, Erwin PJ, Fahimi S, Falder G, Farzadfar F, Ferrari A, Finucane MM, Flaxman S, Fowkes FG, Freedman G, Freeman MK, Gakidou E, Ghosh S, Giovannucci E, Gmel G, Graham K, Grainger R, Grant B, Gunnell D, Gutierrez HR, Hall W, Hoek HW, Hogan A, Hosgood HD 3rd, Hoy D, Hu H, Hubbell BJ, Hutchings SJ, Ibeanusi SE, Jacklyn GL, Jasrasaria R, Jonas JB, Kan H, Kanis JA, Kassebaum N, Kawakami N, Khang YH, Khatibzadeh S, Khoo JP, Kok C, Laden F, Lalloo R, Lan Q, Lathlean T, Leasher JL, Leigh J, Li Y, Lin JK, Lipshultz SE, London S, Lozano R, Lu Y, Mak J, Malekzadeh R, Mallinger L, Marcenes W, March L, Marks R, Martin R, McGale P, McGrath J, Mehta S, Mensah GA, Merriman TR, Micha R, Michaud C, Mishra V, Mohd Hanafiah K, Mokdad AA, Morawska L, Mozaffarian D, Murphy T, Naghavi M, Neal B, Nelson PK, Nolla JM, Norman R, Olives C, Omer SB, Orchard J, Osborne R, Ostro B, Page A, Pandey KD, Parry CD, Passmore E, Patra J, Pearce N, Pelizzari PM, Petzold M, Phillips MR, Pope D, Pope CA 3rd, Powles J, Rao M, Razavi H, Rehfuess EA, Rehm JT, Ritz B, Rivara FP, Roberts T, Robinson C, Rodriguez-Portales JA, Romieu I, Room R, Rosenfeld LC, Roy A, Rushton L, Salomon JA, Sampson U, Sanchez-Riera L, Sanman E, Sapkota A, Seedat S, Shi P, Shield K, Shivakoti R, Singh GM, Sleet DA, Smith E, Smith KR, Stapelberg NJ, Steenland K, Stöckl H, Stovner LJ, Straif K, Straney L, Thurston GD, Tran JH, Van Dingenen R, van Donkelaar A, Veerman JL, Vijayakumar L, Weintraub R, Weissman MM, White RA, Whiteford H, Wiersma ST, Wilkinson JD, Williams HC, Williams W, Wilson N, Woolf AD, Yip P, Zielinski JM, Lopez AD, Murray CJ, Ezzati M, AlMazroa MA, Memish ZA (2012) A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet 380:2224–2260

    Article  PubMed  PubMed Central  Google Scholar 

  5. Johnson CL, Dohrmann SM, Burt VL, Mohadjer LK (2014) National Health and nutrition examination survey: sample design, 2011–2014. Vital Health Stat 2(162):1–33

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

    Article  Google Scholar 

  7. Flynn JT, Kaelber DC, Baker-Smith CM, Blowey D, Carroll AE, Daniels SR, de Ferranti SD, Dionne JM, Falkner B, Flinn SK, Gidding SS, Goodwin C, Leu MG, Powers ME, Rea C, Samuels J, Simasek M, Thaker VV, Urbina EM (2017) Clinical practice guideline for screening and management of high blood pressure in children and adolescents. Pediatrics 140:e20171904

    Article  PubMed  Google Scholar 

  8. Rosner B, Cook N, Portman R, Daniels S, Falkner B (2008) Determination of blood pressure percentiles in normal-weight children: some methodological issues. Am J Epidemiol 167:653–666

    Article  CAS  PubMed  Google Scholar 

  9. Soloff C, Lawrence D, Johnstone R (2005) LSAC technical paper number 1: sample design. Australian Institute of Family Studies, Melbourne

    Google Scholar 

  10. Bronfenbrenner U, Morris PA (2007) The bioecological model of human development. In: Damon W, Lerner R (eds) Handbook of child psychology. John Wiley & Sons, Hoboken, pp 793–828

    Google Scholar 

  11. Duncombe SL, Voss C, Harris KC (2017) Oscillometric and auscultatory blood pressure measurement methods in children: a systematic review and meta-analysis. J Hypertens 35:213–224

    Article  CAS  PubMed  Google Scholar 

  12. Šuláková T, Šuláková A, Strnadel J, Pavlíček J, Obermannová B, Feber J (2016) Can auscultatory blood pressure normative values be used for evaluation of oscillometric blood pressure in children? J Clin Hypertens 19:381–387

    Article  Google Scholar 

  13. Ogden CL, Kuczmarski RJ, Flegal KM, Mei Z, Guo S, Wei R, Grummer-Strawn LM, Curtin LR, Roche AF, Johnson CL (2002) Centers for Disease Control and Prevention 2000 growth charts for the United States: improvements to the 1977 National Center for Health Statistics version. Pediatrics 109:45–60

    Article  PubMed  Google Scholar 

  14. Barlow SE, the Expert Committee (2007) Expert committee recommendations regarding the prevention, assessment, and treatment of child and adolescent overweight and obesity: summary report. Pediatrics 120:S164–S192

    Article  Google Scholar 

  15. Blakemore T, Strazdins L, Gibbings J (2009) Measuring family socioeconomic position. Aust Soc Policy 8:121–168

    Google Scholar 

  16. Goodman A, Lamping DL, Ploubidis GB (2010) When to use broader internalising and externalising subscales instead of the hypothesised five subscales on the Strengths and Difficulties Questionnaire (SDQ): data from British parents, teachers and children. J Abnorm Child Psychol 38:1179–1191

    Article  PubMed  Google Scholar 

  17. Norton A, Monahan K, Branch PE (2015) The Longitudinal Study of Australian Children: LSAC Technical paper No.15, Wave 6 Weighting and Non-Response. Australian Institute of Family Studies, Melbourne

    Google Scholar 

  18. Royston P, Ambler G, Sauerbrei W (1999) The use of fractional polynomials to model continuous risk variables in epidemiology. Int J Epidemiol 28:964–974

    Article  CAS  PubMed  Google Scholar 

  19. Morris TP, White IR, Carpenter JR, Stanworth SJ, Royston P (2015) Combining fractional polynomial model building with multiple imputation. Stat Med 34:3298–3317

    Article  PubMed  PubMed Central  Google Scholar 

  20. Little RJA, Rubin DB (2014) Statistical analysis with missing data. John Wiley & Sons, Hoboken

    Google Scholar 

  21. Australian Bureau of Statistics (ABS) (2015) National Health Survey: First Results, 2014-15. ABS, Canberra

    Google Scholar 

  22. Larkins NG, Teixeira-Pinto A, Craig JC (2015) The prevalence and predictors of hypertension in a National Survey of Australian children. Blood Press 27:41–47

    Article  Google Scholar 

  23. Rosner B, Cook NR, Daniels S, Falkner B (2013) Childhood blood pressure trends and risk factors for high blood pressure: the NHANES experience 1988-2008. Hypertension 62:247–254

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Centers for Disease Control and Prevention (CDC), National Center for Health Statistics (NCHS) (2014) National health and nutrition examination survey data. In: US Department of Health and Human Services. Centers for Disease Control and Prevention, Hyattsville

    Google Scholar 

  25. Sharma AK, Metzger DL, Rodd CJ (2018) Prevalence and severity of high blood pressure among children based on the 2017 American Academy of Pediatrics guidelines. JAMA Pediatr 172:557–565

    Article  PubMed  PubMed Central  Google Scholar 

  26. Huxley R, Shiell A, Law C (2000) The role of size at birth and postnatal catch-up growth in determining systolic blood pressure: a systematic review of the literature. J Hypertens 18:815–831

    Article  CAS  PubMed  Google Scholar 

  27. Edvardsson VO, Steinthorsdottir SD, Eliasdottir SB, Indridason OS, Palsson R (2012) Birth weight and childhood blood pressure. Curr Hypertens Rep 14:596–602

    Article  PubMed  Google Scholar 

  28. Davis EF, Lewandowski AJ, Aye C, Williamson W, Boardman H, Huang RC, Mori TA, Newnham J, Beilin LJ, Leeson P (2015) Clinical cardiovascular risk during young adulthood in offspring of hypertensive pregnancies: insights from a 20-year prospective follow-up birth cohort. BMJ Open 5:e008136

    Article  PubMed  PubMed Central  Google Scholar 

  29. Hansen HS, Froberg K, Hyldebrandt N, Nielsen JR (1991) A controlled study of eight months of physical training and reduction of blood pressure in children: the Odense schoolchild study. BMJ 303:682–685

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Farpour-Lambert NJ, Aggoun Y, Marchand LM, Martin XE, Herrmann FR, Beghetti M (2009) Physical activity reduces systemic blood pressure and improves early markers of atherosclerosis in pre-pubertal obese children. J Am Coll Cardiol 54:2396–2406

    Article  CAS  PubMed  Google Scholar 

  31. Kramer MS, Matush L, Vanilovich I, Platt RW, Bogdanovich N, Sevkovskaya Z, Dzikovich I, Shishko G, Collet J-P, Martin RM, Smith GD, Gillman MW, Chalmers B, Hodnett E, Shapiro S (2007) Effects of prolonged and exclusive breastfeeding on child height, weight, adiposity, and blood pressure at age 6.5y: evidence from a large randomized trial. Am J Clin Nutr 86:1717–1721

    Article  CAS  PubMed  Google Scholar 

  32. Martin RM, Gunnell D, Smith GD (2005) Breastfeeding in infancy and blood pressure in later life: systematic review and meta-analysis. Am J Epidemiol 161:15–26

    Article  PubMed  Google Scholar 

  33. Lazarou C, Panagiotakos DB, Matalas AL (2009) Lifestyle factors are determinants of children's blood pressure levels: the CYKIDS study. J Hum Hypertens 23:456–463

    Article  CAS  PubMed  Google Scholar 

  34. Duru OK, Vargas RB, Kermah D, Pan D, Norris KC (2007) Health insurance status and hypertension monitoring and control in the United States. Am J Hypertens 20:348–353

    Article  PubMed  Google Scholar 

  35. Veloudi P, Blizzard CL, Srikanth VK, Schultz MG, Sharman JE (2018) Influence of blood pressure level and age on within-visit blood pressure variability in children and adolescents. Eur J Pediatr 117:205–210

    Article  Google Scholar 

  36. Rogoza AN, Pavlova TS, Sergeeva M (2000) Validation of A&D UA-767 device for the self-measurement of blood pressure. Blood Press Monit 5:227–231

    Article  CAS  PubMed  Google Scholar 

  37. Richiardi L, Bellocco R, Zugna D (2013) Mediation analysis in epidemiology: methods, interpretation and bias. Int J Epidemiol 42:1511–1519

    Article  PubMed  Google Scholar 

  38. Brockman R, Jago R, Fox KR, Thompson JL, Cartwright K, Page AS (2009) “Get off the sofa and go and play”: family and socioeconomic influences on the physical activity of 10-11 year old children. BMC Public Health 9:253

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

The Growing Up in Australia, the Longitudinal Study of Australian Children, is conducted in partnership between the Department of Social Services (DSS), the Australian Institute of Family Studies (AIFS), and the Australian Bureau of Statistics (ABS). The findings and views reported in this paper are those of the author and should not be attributed to DSS, AIFS, or the ABS.

Funding

Nicholas Larkins work on this project was funded by a Postgraduate Scholarship from the National Health and Medical Research Council (NHMRC; GNT1114218). Armando Teixeira-Pinto is partially supported by the NHMRC Program Grant BeatCKD (APP1092957). David Burgner is supported by a NHMRC Senior Research Fellowship (1064629) and is a National Heart Foundation Future Fellow (100026). For the remaining authors, none were declared.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Nicholas G. Larkins.

Ethics declarations

Written informed consent was provided by families and the study was approved by the Australian Institute of Family Studies Ethics Committee.

Conflicts of interest

The authors declare that they have no conflict of interest.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

ESM 1

(PDF 83 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Larkins, N.G., Teixeira-Pinto, A., Kim, S. et al. The population-based prevalence of hypertension and correlates of blood pressure among Australian children. Pediatr Nephrol 34, 1107–1115 (2019). https://doi.org/10.1007/s00467-019-04206-w

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00467-019-04206-w

Keywords

Navigation