Skip to main content
Log in

Comparison of Different Obesity Indices for Predicting Incident Hypertension

  • Original Article
  • Published:
High Blood Pressure & Cardiovascular Prevention Aims and scope Submit manuscript

Abstract

Introduction

Obesity is well recognized to be an important risk factor for hypertension (HTN), but it is not clear which obesity indices have stronger association with HTN.

Aim

To evaluate the ability of different obesity indices, including visceral adiposity index (VAI), hypertriglyceridemic-waist (HTGW) phenotype, a body shape index (ABSI), body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR) and waist-to-hip ratio (WHR) as possible hypertension (HTN) predictor in a high-risk population.

Methods

Seven years follow-up data in first-degree relatives of consecutive patients with type 2 diabetes aged 30–70 years without diabetes and HTN with at least one follow-up examination (n = 1417) were analysed. Discriminatory capabilities were examined using the receiver operating characteristic (ROC) curve. Logistic regression analysis was performed to determine the strength of association between obesity indices and HTN.

Results

Among the indices, the highest quintile compared with the lowest quintile of WHtR and WC was more strongly associated with HTN in age and sex adjusted models [odds ratio (95% CI); WHtR: 4.02 (2.36, 6.85) and WC: 3.26 (2.05, 5.20)]. Those with HTGW phenotype was 2.3 (1.54, 3.35) times more likely to develop HTN than those with normal WC normal triglyceride. On ROC curve analysis, WHtR (63.1%; 59.6, 66.7) and WC (61.7%, 58.0, 65.4) had the higher area under the ROC.

Conclusions

Although higher values of VAI, BMI, WHR and HTGW were associated with the risk of HTN, WHtR and WC was more strongly associated with the development of HTN, while the ABSI showed weaker association.

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

Similar content being viewed by others

References

  1. Pereira M, Lunet N, Paulo C, Severo M, Azevedo A, Barros H. Incidence of hypertension in a prospective cohort study of adults from Porto, Portugal. BMC Cardiovasc Disord. 2012;12:114.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Ishikawa-Takata K, Ohta T, Moritaki K, Gotou T, Inoue S. Obesity, weight change and risks for hypertension, diabetes and hypercholesterolemia in Japanese men. Eur J Clin Nutr. 2002;56:601–7.

    Article  CAS  PubMed  Google Scholar 

  3. Deng WW, Wang J, Liu MM, Wang D, Zhao Y, Liu YQ, Wang H, Dong GH. Body mass index compared with abdominal obesity indicators in relation to prehypertension and hypertension in adults: the CHPSNE study. Am J Hypertens. 2013;26:58–67.

    Article  PubMed  Google Scholar 

  4. Gillum RF, Mussolino ME, Madans JH. Body fat distribution and hypertension incidence in women and men. The NHANES I Epidemiologic Follow-up Study. Int J Obes Relat Metab Disord. 1998;22:127–34.

    Article  CAS  PubMed  Google Scholar 

  5. Harris MM, Stevens J, Thomas N, Schreiner P, Folsom AR. Associations of fat distribution and obesity with hypertension in a bi-ethnic population: the ARIC study. Atherosclerosis Risk in Communities Study. Obes Res. 2000;8:516–24.

    Article  CAS  PubMed  Google Scholar 

  6. Folsom AR, Prineas RJ, Kaye SA, Munger RG. Incidence of hypertension and stroke in relation to body fat distribution and other risk factors in older women. Stroke. 1990;21:701–6.

    Article  CAS  PubMed  Google Scholar 

  7. Cassano PA, Segal MR, Vokonas PS, Weiss ST. Body fat distribution, blood pressure, and hypertension. A prospective cohort study of men in the normative aging study. Ann Epidemiol. 1990;1:33–48.

    Article  CAS  PubMed  Google Scholar 

  8. Troisi RJ, Weiss ST, Segal MR, Cassano PA, Vokonas PS, Landsberg L. The relationship of body fat distribution to blood pressure in normotensive men: the normative aging study. Int J Obes. 1990;14:515–25.

    CAS  PubMed  Google Scholar 

  9. Krakauer NY, Krakauer JC. A new body shape index predicts mortality hazard independently of body mass index. PLoS One. 2012;7:e39504.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Koh H, Hayashi T, Sato KK, Harita N, Maeda I, Nishizawa Y, Endo G, Fujimoto WY, Boyko EJ, Hikita Y. Visceral adiposity, not abdominal subcutaneous fat area, is associated with high blood pressure in Japanese men: the Ohtori study. Hypertens Res. 2011;34:565–72.

    Article  PubMed  Google Scholar 

  11. Amato MC, Giordano C, Galia M, Criscimanna A, Vitabile S, Midiri M, Galluzzo A, AlkaMeSy Study Group. Visceral Adiposity Index: a reliable indicator of visceral fat function associated with cardiometabolic risk. Diabetes Care. 2010;33:920–2.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Lemieux I, Poirier P, Bergeron J, Alméras N, Lamarche B, Cantin B, Dagenais GR, Després JP. Hypertriglyceridemic waist: a useful screening phenotype in preventive cardiology? Can J Cardiol. 2007;23(Suppl B):23B–31B.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Kahn HS. The “lipid accumulation product” performs better than the body mass index for recognizing cardiovascular risk: a population-based comparison. BMC Cardiovasc Disord. 2005;5:26.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Bozorgmanesh M, Hadaegh F, Azizi F. Diabetes prediction, lipid accumulation product, and adiposity measures; 6-year follow-up: Tehran lipid and glucose study. Lipids Health Dis. 2010;9:45.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Amini M, Janghorbani M. Diabetes and impaired glucose regulation in first degree relatives of patients with type 2 diabetes in Isfahan, Iran: prevalence and risk factors. Rev Diabet Stud. 2007;4:169–76.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Anonymous. Executive summary: standard of medical care in diabetes-2013. Diabetes Care. 2013;36:S4–10.

  17. James PA, Oparil S, Carter BL, Cushman WC, Dennison-Himmelfarb C, Handler J, Lackland DT, LeFevre ML, MacKenzie TD, Ogedegbe O, Smith SC Jr, Svetkey LP, Taler SJ, Townsend RR, Wright JT Jr, Narva AS, Ortiz E. 2014 evidence-based guideline for the management of high blood pressure in adults: report from the panel members appointed to the Eighth Joint National Committee (JNC 8). JAMA. 2014;311:507–20.

    Article  CAS  PubMed  Google Scholar 

  18. Expert Committee on the Diagnosis and Classification of Diabetes Mellitus. Report of the expert committee on the diagnosis and classification of diabetes mellitus. Diabetes Care. 2003;(suppl 1):S5–20.

  19. Friedewald WT, Levy RI, Fredrickson DS. Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clin Chem. 1972;18:499–502.

    CAS  PubMed  Google Scholar 

  20. DeLong ER, DeLong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics. 1988;44:837–45.

    Article  CAS  PubMed  Google Scholar 

  21. Browning LM, Hsieh SD, Ashwell M. A systematic review of waist-to-height ratio as a screening tool for the prediction of cardiovascular disease and diabetes: 0.5 could be a suitable global boundary value. Nutr Res Rev. 2010;23:247–69.

    Article  PubMed  Google Scholar 

  22. Park SH, Choi SJ, Lee KS, Park HY. Waist circumference and waist-to-height ratio as predictors of cardiovascular disease risk in Korean adults. Circ J. 2009;73:1643–50.

    Article  CAS  PubMed  Google Scholar 

  23. Lee CM, Huxley RR, Wildman RP, Woodward M. Indices of abdominal obesity are better discriminators of cardiovascular risk factors than BMI: a meta-analysis. J Clin Epidemiol. 2008;61:646–53.

    Article  PubMed  Google Scholar 

  24. Ashwell M, Gunn P, Gibson S. Waist-to-height ratio is a better screening tool than waist circumference and BMI for adult cardiometabolic risk factors: systematic review and meta-analysis. Obes Rev. 2012;13:275.

    Article  CAS  PubMed  Google Scholar 

  25. XiaoZhen Lv, Hang Y, Zhan S. The predictive value of waist-height ratio to discriminate adult hypertension: a meta-analysis. Chin J Prev Control Chronic Dis. 2009;17:254–7.

  26. Yusuf S, Hawken S, Ounpuu S, Bautista L, Franzosi MG, Commerford P, Lang CC, Rumboldt Z, Onen CL, Lisheng L, Tanomsup S, Wangai P Jr, Razak F, Sharma AM, Anand SS, INTERHEART Study Investigators. Obesity and the risk of myocardial infarction in 27,000 participants from 52 countries: a case-control study. Lancet. 2005;366:1640–9.

    Article  PubMed  Google Scholar 

  27. Ostchega Y, Hughes JP, Terry A, Fakhouri TH, Miller I. Abdominal obesity, body mass index, and hypertension in US adults: NHANES 2007–2010. Am J Hypertens. 2012;25:1271–8.

    PubMed  Google Scholar 

  28. Lin S, Cheng TO, Liu X, Mai J, Rao X, Gao X, Deng H, Shi M. Impact of dysglycemia, body mass index, and waist-to-hip ratio on the prevalence of systemic hypertension in a lean Chinese population. Am J Cardiol. 2006;97:839–42.

    Article  PubMed  Google Scholar 

  29. Nyamdorj R, Qiao Q, Söderberg S, Pitkäniemi J, Zimmet P, Shaw J, Alberti G, Nan H, Uusitalo U, Pauvaday V, Chitson P, Tuomilehto J. Comparison of body mass index with waist circumference, waist-to-hip ratio, and waist-to-stature ratio as a predictor of hypertension incidence in Mauritius. J Hypertens. 2008;26:866–70.

    Article  CAS  PubMed  Google Scholar 

  30. Duncan MJ, Mota J, Vale S, Santos MP, Ribeiro JC. Associations between body mass index, waist circumference and body shape index with resting blood pressure in Portuguese adolescents. Ann Hum Biol. 2013;40:163–7.

    Article  PubMed  Google Scholar 

  31. Cheung YB. “A Body Shape Index” in middle-age and older Indonesian population: scaling exponents and association with incident hypertension. PLoS One. 2014;9:e85421.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Fujita M, Sato Y, Nagashima K, Takahashi S, Hata A. Predictive power of a body shape index for development of diabetes, hypertension, and dyslipidemia in Japanese adults: a retrospective cohort study. PLoS One. 2015;10:e0128972.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Hayashi T, Boyko EJ, Leonetti DL, McNeely MJ, Newell-Morris L, Kahn SE, Fujimoto WY. Visceral adiposity is an independent predictor of incident hypertension in Japanese Americans. Ann Intern Med. 2004;140:992–1000.

    Article  PubMed  Google Scholar 

  34. Hayashi T, Boyko EJ, Leonetti DL, McNeely MJ, Newell-Morris L, Kahn SE, Fujimoto WY. Visceral adiposity and the prevalence of hypertension in Japanese Americans. Circulation. 2003;108:1718–23.

    Article  PubMed  Google Scholar 

  35. Fox CS, Massaro JM, Hoffmann U, Pou KM, Maurovich-Horvat P, Liu CY, Vasan RS, Murabito JM, Meigs JB, Cupples LA, D’Agostino RB Sr, O’Donnell CJ. Abdominal visceral and subcutaneous adipose tissue compartments: association with metabolic risk factors in the Framingham Heart Study. Circulation. 2007;116:39–48.

    Article  PubMed  Google Scholar 

  36. Foy CG, Hsu FC, Haffner SM, Norris JM, Rotter JI, Henkin LF, Bryer-Ash M, Chen YD, Wagenknecht LE. Visceral fat and prevalence of hypertension among African Americans and Hispanic Americans: findings from the IRAS family study. Am J Hypertens. 2008;21:910–6.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Oka R, Miura K, Sakurai M, Nakamura K, Yagi K, Miyamoto S, Moriuchi T, Mabuchi H, Koizumi J, Nomura H, Takeda Y, Inazu A, Nohara A, Kawashiri MA, Nagasawa S, Kobayashi J, Yamagishi M. Impacts of visceral adipose tissue and subcutaneous adipose tissue on metabolic risk factors in middle-aged Japanese. Obesity (Silver Spring). 2010;18:153–60.

    Article  CAS  Google Scholar 

  38. Boyko EJ, Leonetti DL, Bergstrom RW, Newell-Morris L, Fujimoto WY. Visceral adiposity, fasting plasma insulin, and blood pressure in Japanese-Americans. Diabetes Care. 1995;18:174–81.

    Article  CAS  PubMed  Google Scholar 

  39. Kanai H, Matsuzawa Y, Kotani K, Keno Y, Kobatake T, Nagai Y, Fujioka S, Tokunaga K, Tarui S. Close correlation of intra-abdominal fat accumulation to hypertension in obese women. Hypertension. 1990;16:484–90.

    Article  CAS  PubMed  Google Scholar 

  40. Johnson D, Prud’homme D, Després JP, Nadeau A, Tremblay A, Bouchard C. Relation of abdominal obesity to hyperinsulinemia and high blood pressure in men. Int J Obes Relat Metab Disord. 1992;16:881–90.

    CAS  PubMed  Google Scholar 

  41. Molarius A, Seidell JC. Selection of anthropometric indicators for classification of abdominal fatness-a critical review. Int J Obes Relat Metab Disord. 1998;22:719–27.

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

We thank Mr. M. Abyar for technical computer assistance and all of the participating FDRs. This study was partly funded by the Isfahan University of Medical Sciences, Iran.

Authors contributions

MJ designed the study, performed statistical analyses and interpreted the data and drafted the manuscript; AA and MA, recruited samples, contributed to interpretation of results and revised the manuscript. All authors approved the final version submitted for publication.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mohsen Janghorbani.

Ethics declarations

Conflict of interest

The authors declare that they have no conflicts of interest concerning this article.

Statement of human and animal rights

This study has been approved by the Isfahan University of Medical Sciences ethical committee.

Informed consent

Informed consent was obtained from all participants for being included in the study.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Janghorbani, M., Aminorroaya, A. & Amini, M. Comparison of Different Obesity Indices for Predicting Incident Hypertension. High Blood Press Cardiovasc Prev 24, 157–166 (2017). https://doi.org/10.1007/s40292-017-0186-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40292-017-0186-3

Keywords

Navigation