Skip to main content

Advertisement

Log in

An analysis of sex differences and socioeconomic deprivation among Canadian children with high blood pressure: a retrospective, cross-sectional study

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

Abstract

Background

Understanding which children are at highest risk for high blood pressure (HBP) can inform surveillance and treatment. This study evaluated sex differences in childhood HBP and its associations with socioeconomic status.

Methods

This retrospective cross-sectional study assessed 74,233 children with data from a national primary care electronic medical record database. Differences between sex and material and social deprivation scores for children with and without HBP were examined. Covariates included age, BMI z-score, diabetes, hyperlipidemia, and depression. HBP was defined as > 90th percentile for < 13-year-olds, and ≥ 120/80 for age ≥ 13 years on 2 separate occasions between 2010 and 2017.

Results

The prevalence of HBP was 10.2% in males and 7.6% in females (p < 0.0001). Children with HBP had higher BMI z-scores (0.66 vs. 0.18, p < 0.0001), and higher rates of diabetes (1.31 vs. 0.54%, p < 0.0001), depression (9.89 vs. 7.11%, p < 0.0001), and hyperlipidemia (2.82 vs. 0.86%, p < 0.0001). In univariate regression analyses, boys in the most materially deprived quintile had increased odds of HBP (OR 1.24 (95% CI 1.08–1.43)), whereas females did not (OR 1.11 (95% CI 0.95–1.29)). In multivariate regression, male sex was associated with HBP with adjusted OR of 1.39 (95% CI 1.24–1.55). After statistical adjustment, material deprivation was no longer significant (aOR 1.05, 95% CI 0.94–1.17).

Conclusions

Male sex is associated with HBP in Canadian children. This study also suggests a possible association between material deprivation and HBP, particularly in boys. Further study is required to better understand this relationship.

Graphical abstract

A higher resolution version of the Graphical abstract is available as Supplementary information

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

Similar content being viewed by others

Abbreviations

BP:

Blood pressure

HBP:

High blood pressure

CVD:

Cardiovascular disease

SES:

Socioeconomic status

CPCSSN:

Canadian Primary Care Sentinel Surveillance Network

EMR:

Electronic medical record

BMI:

Body mass index

DA:

Dissemination area

ABSM:

Area-based socioeconomic measure

WCH:

White-coat hypertension

References

  1. Chen X, Wang Y (2008) Tracking of blood pressure from childhood to adulthood. Circulation 117:3171–3180. https://doi.org/10.1161/CIRCULATIONAHA.107.730366

    Article  PubMed  PubMed Central  Google Scholar 

  2. Cheung EL, Bell CS, Samuel JP, Poffenbarger T, Redwine KM, Samuels JA (2017) Race and obesity in adolescent hypertension. Pediatrics 139:e20161433. https://doi.org/10.1542/peds.2016-1433

    Article  PubMed  PubMed Central  Google Scholar 

  3. Theodore RF, Broadbent J, Nagin D, Ambler A, Hogan S, Ramrakha S, Cutfield W, Williams MJA, Harrington H, Moffitt TE, Caspi A, Milne B, Poulton R (2015) Childhood to early-midlife systolic blood pressure trajectories. Hypertension 66:1108–1115. https://doi.org/10.1161/HYPERTENSIONAHA.115.05831

    Article  CAS  PubMed  Google Scholar 

  4. Miller GE, Chen E, Fok AK, Walker H, Lim A, Nicholls EF, Cole S, Kobor MS et al (2009) Low early-life social class leaves a biological residue manifested by decreased glucocorticoid and increased proinflammatory signaling. Proc Natl Acad Sci 106:14716–14721. https://doi.org/10.1073/pnas.0902971106

    Article  PubMed  PubMed Central  Google Scholar 

  5. Miller GE, Chen E, Parker KJ (2011) Psychological stress in childhood and susceptibility to the chronic diseases of aging: moving towards a model of behavioral and biological mechanisms. Psychol Bull 137:959–997. https://doi.org/10.1037/a0024768

    Article  PubMed  PubMed Central  Google Scholar 

  6. Jackson SL, Yang EC, Zhang Z (2018) Income disparities and cardiovascular risk factors among adolescents. Pediatrics 142:e20181089. https://doi.org/10.1542/peds.2018-1089

    Article  PubMed  Google Scholar 

  7. Kivimäki M, Lawlor DA, Smith GD, Keltikangas-Järvinen L, Elovainio M, Vahtera J, Pulkki-Råback L, Taittonen L, Viikari JSA, Raitakari OT (2006) Early socioeconomic position and blood pressure in childhood and adulthood. Hypertension 47:39–44. https://doi.org/10.1161/01.HYP.0000196682.43723.8a

    Article  CAS  PubMed  Google Scholar 

  8. Jimenez MP, Wellenius G, Subramanian SV, Buka S, Eaton C, Gilman SE, Loucks EB (2019) Longitudinal associations of neighborhood socioeconomic status with cardiovascular risk factors: a 46-year follow-up study. Soc Sci Med 241:112574. https://doi.org/10.1016/j.socscimed.2019.112574

    Article  PubMed  PubMed Central  Google Scholar 

  9. Rivera L, Lebenbaum M, Rosella L (2015) The influence of socioeconomic status on future risk for developing type 2 diabetes in the Canadian population between 2011 and 2022: differential associations by sex. Int J Equity Health 14:101. https://doi.org/10.1186/s12939-015-0245-0

    Article  PubMed  PubMed Central  Google Scholar 

  10. Baek TH, Lee HY, Lim NK, Park HY (2015) Gender differences in the association between socioeconomic status and hypertension incidence: the Korean Genome and Epidemiology Study (KoGES). BMC Public Health 15:852. https://doi.org/10.1186/s12889-015-2175-

    Article  PubMed  PubMed Central  Google Scholar 

  11. Thomas AJ, Eberly LE, Smith GD, Neaton JD, Stamler J (2005) Race/Ethnicity, income, major risk factors, and cardiovascular disease mortality. Am J Public Health 95:1417–1423. https://doi.org/10.2105/AJPH.2004.048165

    Article  PubMed  PubMed Central  Google Scholar 

  12. Johnston I, Miles B, Soos B, Garies S, Perez G, Queenan J, Drummond N, Singer A (2022) A cross-sectional study evaluating cardiovascular risk and statin prescribing in the Canadian Primary Care Sentinel Surveillance Network database. BMC Primary Care 23:128. https://doi.org/10.1186/s12875-022-01735-6

    Article  PubMed  PubMed Central  Google Scholar 

  13. Queenan JA, Williamson T, Khan S, Drummond N, Garies S, Morkem R, Birtwhistle R (2016) Representativeness of patients and providers in the Canadian Primary Care Sentinel Surveillance Network: a cross-sectional study. CMAJ Open 4:E28–E32. https://doi.org/10.9778/cmajo.20140128

    Article  PubMed  PubMed Central  Google Scholar 

  14. Kivimäki M, Vahtera J, Tabák AG, Halonen JI, Vineis P, Pentti J, Pahkala K, Rovio S, Viikari J, Kähönen M, Juonala M, Ferrie JE, Stringhini S, Raitakari OT (2018) Neighbourhood socioeconomic disadvantage, risk factors, and diabetes from childhood to middle age in the Young Finns Study: a cohort study. Lancet Public Health 3:e365–e373. https://doi.org/10.1016/S2468-2667(18)30111-7

    Article  PubMed  PubMed Central  Google Scholar 

  15. 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. https://doi.org/10.1542/peds.2017-1904

    Article  PubMed  Google Scholar 

  16. Pampalon R, Hamel D, Gamache P, Raymond G (2009) A deprivation index for health planning in Canada. Chronic Dis Can 29:178–191. https://doi.org/10.24095/hpcdp.29.4.05

    Article  CAS  PubMed  Google Scholar 

  17. Pampalon R, Hamel D, Gamache P, Philibert M, Raymound G, Simpson A (2012) An area-based material and social deprivation index for public health in Quebec and Canada. Can J Public Health 103(Sup 2):S17–S22. https://doi.org/10.1007/BF03403824

    Article  PubMed  PubMed Central  Google Scholar 

  18. Center for Disease Control and Prevention (2002) 2000 CDC growth charts for the United States: Methods and development. https://www.cdc.gov/nchs/data/series/sr_11/sr11_246.pdf. Accessed 22 September 2022.

  19. Williamson T, Green ME, Birtwhistle R, Khan S, Garies S, Wong S, Natarajan N, Manca D, Drummond N (2014) Validating the 8 CPCSSN case definitions for chronic disease surveillance in a primary care database of electronic health records. Ann Fam Med 12:367–372. https://doi.org/10.1370/afm.1644

    Article  PubMed  PubMed Central  Google Scholar 

  20. Kosowan L, Wicklow B, Queenan J, Yeung R, Amed S, Singer A (2019) Enhancing health surveillance: validation of a novel electronic medical records-based definition of cases of pediatric type 1 and type 2 diabetes mellitus. Can J Diabetes 43:392–398. https://doi.org/10.1016/j.jcjd.2019.02.005

    Article  PubMed  Google Scholar 

  21. Ding L, Singer A, Kosowan L, Dart A (2022) Pediatric hypertension screening and recognition in primary care clinics in Canada. Paediatr Child Health 27:118–126. https://doi.org/10.1093/pch/pxab081

    Article  PubMed  Google Scholar 

  22. Sharma AK, Metzger DL (2017) Calculator: AAP 2017 pediatric blood pressure percentiles. https://apps.cpeg-gcep.net/BPz_cpeg_dde/ Accessed 12 January 2021

  23. Mills KT, Stefanescu A, He J (2020) The global epidemiology of hypertension. Nat Rev Nephrol 16:223–237. https://doi.org/10.1038/s41581-019-0244-2

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Fallah Z, Kelishadi R, Heshmat R, Motlagh ME, Ardalan G, Kasaeian A, Asayesh H, Qorbani M (2015) A nationwide report on blood pressure of children and adolescents according to socioeconomic status: the CASPIAN-IV study. J Res Med Sci 20:646–655. https://doi.org/10.4103/1735-1995.166210

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Dekkers JC, Snieder H, van den Oord EJCG, Treiber FA (2002) Moderators of blood pressure development from childhood to adulthood: a 10-year longitudinal study. J Pediatr 141:770–779. https://doi.org/10.1067/mpd.2002.128113

    Article  PubMed  Google Scholar 

  26. Matheson FI, White HL, Moineddin R, Dunn JR, Glazier RH (2010) Neighbourhood chronic stress and gender inequalities in hypertension among Canadian adults: a multilevel analysis. J Epidemiol Community Health 64:705–713. https://doi.org/10.1136/jech.2008.083303

    Article  PubMed  Google Scholar 

  27. Neufcourt L, Deguen S, Bayat S, Zins M, Grimaud O (2020) Gender differences in the association between socioeconomic status and hypertension in France: a cross-sectional analysis of the CONSTANCES cohort. PLoS One 15:e0231878. https://doi.org/10.1371/journal.pone.0231878

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Kaelber DC, Localio AR, Ross M, Leon JB, Pace WD, Wasserman RC, Grundmeier RW, Steffes J, Fiks AG (2020) Persistent hypertension in children and adolescents: a 6-year cohort study. Pediatrics 146:e20193778. https://doi.org/10.1542/peds.2019-3778

    Article  PubMed  Google Scholar 

  29. US Preventive Services Task Force, Krist AH, Davidson KW, Mangione CM, Barry MJ, Cabana M, Caughey AB, Donahue K, Doubeni CA, Epling JWJ, Kubik M, Ogedegbe G, Pbert L, Silverstein M, Simon MA, Tseng CW, Wong JB (2020) Screening for high blood pressure in children and adolescents: US Preventive Services Task Force recommendation statement. JAMA 324:1878–1883. https://doi.org/10.1001/jama.2020.20122

    Article  Google Scholar 

Download references

Funding

This work was funded by the Children’s Hospital Research Institute of Manitoba (CHRIM) as a catalyst grant from the Diabetes Research Institute of Manitoba (DREAM) Research Theme.

Author information

Authors and Affiliations

Authors

Contributions

S. Telencoe conceptualized and designed the study, preformed initial data analysis, created the first draft and revised the final copy of the manuscript. L. Kosowan conducted the statistical analysis and provided revisions for the final manuscript. A. Singer provided consultative support for the database and provided revisions for the final manuscript. A. Dart conceptualized and designed the study, supervised, and revised the entirety of the study. All authors approved the final manuscript as submitted and agree to be accountable for all aspects of the work.

Corresponding author

Correspondence to Allison B. Dart.

Ethics declarations

Conflict of interest

The authors declare no competing interests.

Additional information

Publisher's note

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

Supplementary Information

Below is the link to the electronic supplementary material.

Graphical Abstract (PPTX 144 KB)

Supplementary file2 (DOCX 24 KB)

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Telencoe, S., Singer, A., Kosowan, L. et al. An analysis of sex differences and socioeconomic deprivation among Canadian children with high blood pressure: a retrospective, cross-sectional study. Pediatr Nephrol 38, 2137–2145 (2023). https://doi.org/10.1007/s00467-022-05841-6

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00467-022-05841-6

Keywords

Navigation