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.

Advertisement

Hypertension Research
  • View all journals
  • Saved research
  • Search
  • Account Log in
  • Content Explore content
  • About the journal
  • Publish with us
  • Sign up for alerts
  • RSS feed
  1. nature
  2. hypertension research
  3. original articles
  4. article
Gender Differences in the Association between Anthropometric Indices of Obesity and Blood Pressure in Japanese
Download PDF
Download PDF
  • Original Article
  • Published: 01 February 2006

Gender Differences in the Association between Anthropometric Indices of Obesity and Blood Pressure in Japanese

  • Masaru Sakurai1,
  • Katsuyuki Miura2,
  • Toshinari Takamura1,
  • Tsuguhito Ota1,
  • Masao Ishizaki3,
  • Yuko Morikawa2,
  • Teruhiko Kido4,
  • Yuchi Naruse5 &
  • …
  • Hideaki Nakagawa2 

Hypertension Research volume 29, pages 75–80 (2006) Cite this article

Save article
View saved research
  • 4602 Accesses

  • Metrics details

Abstract

To investigate which of four anthropometric variables of obesity has the strongest association with blood pressure (BP), and to investigate whether there are gender differences in these relationships in Asian adults, we evaluated the associations of four anthropometric variables, body mass index (BMI), waist circumference, waist-to-hip ratio and waist-to-height ratio, with BP and the prevalence of hypertension in a cross-sectional study. A total of 4,557 employees of a metal-products factory in Toyama, Japan (2,935 men and 1,622 women, aged 35 to 59 years) were included in the study. Waist circumference in men and BMI in women had the strongest associations with BP. As for the age-adjusted rate ratio (RR) of the prevalence of hypertension for one standard deviation increase in each anthropometric variable, RR was the highest for waist circumference in men (RR, 1.44; 95% confidence interval [CI], 1.31–1.58), and for BMI in women (RR, 1.61; 95% CI, 1.38–1.88). The associations of waist circumference in men and BMI in women remained significant after adjustment for each of the other variables. The associations of waist-to-height ratio with BP and the prevalence of hypertension were a little weaker than those of waist circumference for both men and women. In conclusion, among four anthropometric variables of obesity—i.e., BMI, waist circumference, waist-to-hip ratio, and waist-to-height ratio—waist circumference had the strongest association with BP and the prevalence of hypertension in men and BMI had the strongest association with BP and hypertension in women. Waist circumference in men and BMI in women should be given more importance in the screening of and guidelines on hypertension in Asians.

Similar content being viewed by others

Examining sex disparity in the association of waist circumference, waist-hip ratio and BMI with hypertension among older adults in India

Article Open access 30 July 2022

Association between anthropometric indices and 5-year hypertension incidence in the general Japanese population

Article 15 November 2023

Comparison of conventional and unconventional obesity indices associated with new-onset hypertension in different sex and age populations

Article Open access 13 May 2023

Article PDF

References

  1. Kannel WB, Brand N, Skinner JJ Jr, Dawber TR, McNamara PM : The relation of adiposity to blood pressure and development of hypertension: the Framingham study. Ann Intern Med 1967; 67: 48–59.

    Article  CAS  Google Scholar 

  2. Stamler J : Epidemiologic findings on body mass index and blood pressure in adults. Ann Epidemiol 1991; 1: 347–362.

    Article  CAS  Google Scholar 

  3. Bell AC, Adair LS, Popkin BM : Ethnic differences in the association between body mass index and hypertension. Am J Epidemiol 2002; 155: 346–353.

    Article  Google Scholar 

  4. Brown CD, Higgins M, Donato KA, et al: Body mass index and prevalence of hypertension and dyslipidemia. Obesity Res 2000; 8; 605–619.

    Article  CAS  Google Scholar 

  5. Whelton PK, Appel LJ, Espeland MA, et al, for the TONE Collaborative Research Group: Sodium reduction and weight loss in the treatment of hypertension in older persons. A randomized controlled trial of nonpharmacologic interventions in the elderly. JAMA 1998; 279: 839–846.

    Article  CAS  Google Scholar 

  6. Cutler JA : Randomized clinical trials of weight reduction in nonhypertensive persons. Ann Epidemiol 1991; 1: 363–370.

    Article  CAS  Google Scholar 

  7. Stevens VJ, Obarzanek E, Cook NR, et al, for the Trials of Hypertension Prevention Research Group: Long-term weight loss and changes in blood pressure: result of the trials of hypertension prevention, phase II. Ann Intern Med 2001; 134: 1–11.

    Article  CAS  Google Scholar 

  8. Davis BR, Blaufox MD, Oberman A, et al: Reduction in long-term antihypertensive medication requirements. Effects of weight reduction by dietary intervention in overweight persons with hypertension. Arch Intern Med 1993; 153: 1773–1782.

    Article  CAS  Google Scholar 

  9. Ishizaka N, Ishizaka Y, Toda E, Hashimoto H, Nagai R, Yamakado M : Hypertension is the most common component of metabolic syndrome and the greatest contributor to carotid arteriosclerosis in apparently healthy Japanese individuals. Hypertens Res 2005; 28: 27–34.

    Article  Google Scholar 

  10. National Cholesterol Education Program Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults : Executive summary of the third report of the National Cholesterol Education Program (NCEP) expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (adult treatment panel III). JAMA 2001; 285: 2486–2497.

  11. Takeuchi H, Saitoh S, Takagi S, et al: Metabolic syndrome and cardiac disease in Japanese men: applicability of the component of metabolic syndrome defined by the National Cholesterol Education Program–Adult Treatment Panel III to Japanese men—the Tanno and Sobetsu Study. Hypertens Res 2005; 23: 203–208.

    Article  Google Scholar 

  12. Nakamura T, Tokunaga K, Shimomura I, et al: Contribution of visceral fat accumulation to the development of coronary artery disease in non-obese men. Atherosclerosis 1994; 107: 239–246.

    Article  CAS  Google Scholar 

  13. Sparrow D, Borkan GA, Gerzof SG, Wisniewski C, Silbert CK : Relationship of fat distribution to glucose tolerance. Results of computed tomography in male participants of the Normative Aging Study. Diabetes 1986; 35: 411–415.

    Article  CAS  Google Scholar 

  14. Hans TS, van Leer EM, Seidell JC, Lean MEJ : Waist circumference action levels in the identification of cardiovascular risk factors: prevalence study in a random sample. BMJ 1995; 311: 1401–1405.

    Article  Google Scholar 

  15. Ross R, Leger L, Morris D, de Guise J, Guardo R : Quantification of adipose tissue by MRI: relationship with anthropometric variables. J Appl Physiol 1992; 72: 787–795.

    Article  CAS  Google Scholar 

  16. Dalton M, Cameron AJ, Zimmet PZ, et al, on behalf of the Audsdiab Steering Committee : Waist circumference, waist-hip ratio and body mass index and their correlation with cardiovascular disease risks in Australian adults. J Intern Med 2003; 254: 555–563.

    Article  CAS  Google Scholar 

  17. Ho SY, Lam TH, Janus ED : Waist to stature ratio is more strongly associated with cardiovascular risk factors than other simple anthropometric indices. Ann Epidemiol 2003; 13: 683–691.

    Article  Google Scholar 

  18. Zhu SK, Wang ZM, Heshka S, Heo M, Faith MS, Heymsfield SB : Waist circumference and obesity-associated risk factors among whites in the third National Health and Nutrition Examination Survey: clinical action thresholds. Am J Clin Nutr 2002; 76: 743–749.

    Article  CAS  Google Scholar 

  19. Siani A, Cappuccio FP, Barba G, et al: The relationship of waist circumference to blood pressure: the Olivetti Heart study. Am J Hypertens 2002; 15: 780–786.

    Article  Google Scholar 

  20. Foucan L, Hanley J, Deloumeaux J, Suissa S : Body mass index and waist circumference as screening tools for cardiovascular risk factors in Guadeloupean women. J Clin Epidemiol 2002; 55: 990–996.

    Article  Google Scholar 

  21. Kotani K, Tokunaga K, Fujioka S, et al: Sexual dimorphism of age-related changes in whole-body fat distribution in the obese. Int J Obes Relat Metab Disord 1994; 18: 207–212.

    CAS  PubMed  Google Scholar 

  22. Morikawa Y, Nakagawa H, Ishizaki M, et al: Ten-year follow-up study on the relation between the development of non-insulin dependent diabetes mellitus and occupation. Am J Ind Med 1997; 31: 80–84.

    Article  CAS  Google Scholar 

  23. Ishizaki M, Yamada Y, Morikawa Y, et al: The relationship between waist-to hip ratio and occupational status and life-style factors among middle-aged male and female Japanese workers. Occup Med 1999; 49: 177–182.

    Article  CAS  Google Scholar 

  24. Gallagher D, Heymsfield SB, Heo M, Jebb SA, Murgatroyd PR, Sakamoto Y : Healthy percentage body fat ranges: an approach for developing guidelines based on body mass index. Am J Clin Nutr 2000; 72: 694–701.

    Article  CAS  Google Scholar 

  25. WHO Expert Consultation : Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet 2004; 363: 157–163.

  26. Hayashi T, Boyko EJ, Leonetti DL, et al: Visceral adiposity and prevalence of hypertension in Japanese Americans. Circulation 2003; 108: 1718–1723.

    Article  Google Scholar 

  27. Hsieh SD, Muto T : The superiority of waist-to-height ratio as an anthropometric index to evaluate clustering of coronary risk factors among non-obese men and women. Prev Med 2005; 40: 216–220.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Endocrinology and Metabolism, Kanazawa University Graduate School of Medical Science, Kanazawa, Japan

    Masaru Sakurai, Toshinari Takamura & Tsuguhito Ota

  2. Department of Epidemiology and Public Health, Kanazawa Medical University, Ishikawa, Japan

    Katsuyuki Miura, Yuko Morikawa & Hideaki Nakagawa

  3. Department of Social and Environmental Medicine, Kanazawa Medical University, Ishikawa, Japan

    Masao Ishizaki

  4. Department of Community Nursing, Kanazawa University School of Health Sciences, Kanazawa, Japan

    Teruhiko Kido

  5. Department of Community Health and Gerontological Nursing, School of Nursing, Toyama University, Toyama, Japan

    Yuchi Naruse

Authors
  1. Masaru Sakurai
    View author publications

    Search author on:PubMed Google Scholar

  2. Katsuyuki Miura
    View author publications

    Search author on:PubMed Google Scholar

  3. Toshinari Takamura
    View author publications

    Search author on:PubMed Google Scholar

  4. Tsuguhito Ota
    View author publications

    Search author on:PubMed Google Scholar

  5. Masao Ishizaki
    View author publications

    Search author on:PubMed Google Scholar

  6. Yuko Morikawa
    View author publications

    Search author on:PubMed Google Scholar

  7. Teruhiko Kido
    View author publications

    Search author on:PubMed Google Scholar

  8. Yuchi Naruse
    View author publications

    Search author on:PubMed Google Scholar

  9. Hideaki Nakagawa
    View author publications

    Search author on:PubMed Google Scholar

Corresponding author

Correspondence to Katsuyuki Miura.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Sakurai, M., Miura, K., Takamura, T. et al. Gender Differences in the Association between Anthropometric Indices of Obesity and Blood Pressure in Japanese. Hypertens Res 29, 75–80 (2006). https://doi.org/10.1291/hypres.29.75

Download citation

  • Received: 24 August 2005

  • Accepted: 06 December 2005

  • Issue date: 01 February 2006

  • DOI: https://doi.org/10.1291/hypres.29.75

Share this article

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

Keywords

  • blood pressure
  • epidemiology
  • gender
  • hypertension
  • obesity
Download PDF

Advertisement

Explore content

  • Research articles
  • Reviews & Analysis
  • News & Comment
  • Current issue
  • Collections
  • Sign up for alerts
  • RSS feed

About the journal

  • Journal Information
  • Open Access Fees and Funding
  • Guide to Authors
  • About the Editors
  • Message from Editors
  • Call for Paper
  • Contact
  • About the Partner
  • For Advertisers
  • Subscribe
  • Showcase of Graphical Abstracts on Hypertension Research

Publish with us

  • For Authors & Referees
  • Language editing services
  • Open access funding
  • Submit manuscript

Search

Advanced search

Quick links

  • Explore articles by subject
  • Find a job
  • Guide to authors
  • Editorial policies

Hypertension Research (Hypertens Res)

ISSN 1348-4214 (online)

ISSN 0916-9636 (print)

nature.com footer links

About Nature Portfolio

  • About us
  • Press releases
  • Press office
  • Contact us

Discover content

  • Journals A-Z
  • Articles by subject
  • protocols.io
  • Nature Index

Publishing policies

  • Nature portfolio policies
  • Open access

Author & Researcher services

  • Reprints & permissions
  • Research data
  • Language editing
  • Scientific editing
  • Nature Masterclasses
  • Research Solutions

Libraries & institutions

  • Librarian service & tools
  • Librarian portal
  • Open research
  • Recommend to library

Advertising & partnerships

  • Advertising
  • Partnerships & Services
  • Media kits
  • Branded content

Professional development

  • Nature Awards
  • Nature Careers
  • Nature Conferences

Regional websites

  • Nature Africa
  • Nature China
  • Nature India
  • Nature Japan
  • Nature Middle East
  • Privacy Policy
  • Use of cookies
  • Legal notice
  • Accessibility statement
  • Terms & Conditions
  • Your US state privacy rights
Springer Nature

© 2026 Springer Nature Limited