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.

  • Paper
  • Published:

Sagittal abdominal diameter compared with other anthropometric measurements in relation to cardiovascular risk

Abstract

BACKGROUND: Abdominal adiposity has been described as an independent risk factor for coronary heart disease. Sagittal abdominal diameter has been found to be closely related to the amount of visceral adipose tissue.

AIM: To compare the sagittal abdominal diameter with other anthropometric measures regarding their relationships to risk factors for coronary heart disease (CHD).

DESIGN: A study of 885 men and women participating in a health survey.

MEASUREMENTS: Sagittal abdominal diameter, body mass index (BMI), waist and hip circumferences, waist-to-hip ratio, serum concentrations of risk factors for CHD, blood pressure.

RESULTS: In men the sagittal abdominal diameter showed stronger correlations to the CHD risk factors serum cholesterol, low-density lipoprotein (LDL) cholesterol, triglycerides, glucose, insulin, apolipoprotein B (apoB), plasminogen activator inhibitor tissue-type plasminogen activator (t-PA) and lipid-corrected alpha tocopherol, and to systolic and diastolic blood pressures than the other anthropometric measurements. In women, compared with the other anthropometric measurements the sagittal abdominal diameter was more strongly correlated to serum cholesterol, LDL cholesterol, LDL/HDL (high-density lipoprotein), apo B and t-PA, and to systolic and diastolic blood pressure. The sagittal abdominal diameter showed a stronger correlation to ‘total risk’ for cardiovascular disease (+0.66 for men, +0.62 for women), than waist circumference (+0.63 for men, +0.57 for women) and waist-to-hip ratio (+0.61 for men and +0.48 for women; P<0.0001 for all correlations). This diameter was also more strongly correlated to ‘metabolic risk’ (+0.64 for men, +0.59 for women) than waist circumference (+0.60 for men, +0.59 for women) and waist-to-hip ratio (+0.58 for men, +0.52 for women)(P<0.0001 for all correlations). In a regression analysis including the anthropometric measurements and the risk values, the sagittal diameter was the strongest measure of cardiovascular risk in both men and women.

CONCLUSIONS: Among both men and women in this study the sagittal abdominal diameter showed stronger correlations to cardiovascular risk and to other risk factors in the metabolic syndrome than other anthropometric variables such as waist circumference, waist-to hip ratio and BMI.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Similar content being viewed by others

References

  1. Larsson B, Svärdsudd K, Welin L, Wilhelmsen L, Björntorp P, Tibblin G . Abdominal adipose tissue distribution, obesity, and risk of cardiovascular disease and death: 13 year follow up of participants in the study of men born in 1913 Br Med J 1984 288:: 1401–1404.

    Article  Google Scholar 

  2. Lapidus L, Bengtsson C, Larsson B, Pennert K, Rybo E, Sjöström L . Distribution of adipose tissue and risk of cardiovascular disease and death: a 12 year follow up of participants in the population study of women in Gothenburg, Sweden Br Med J 1984 289:: 1257–1261.

    Article  Google Scholar 

  3. Kvist H, Chowdhury B, Grangård U, Tylén U, Sjöström L . Total and visceral adipose-tissue volumes derived from measurements with computed tomography in adult men and women: predicted equations Am J Clin Nutr 1988 48:: 1351–1361.

    Article  Google Scholar 

  4. Havel RJ, Eder HA, Bragdon JH . The determination and chemical composition of ultracentrifugally separated lipoproteins in human serum J Clin Invest 1955 34:: 1345–1353.

    Article  Google Scholar 

  5. Seigler L, Wu WT . Separation of serum high-density lipoprotein for cholesterol determination: ultracentrifugation vs precipitation with sodium phosphotungstate and magnesium chloride Clin Chem 1981 27:: 838–841.

    Google Scholar 

  6. Hjelm M, deVerdier CH . A methodological study of the enzymatic determination of glucose in blood Scand Clin Lab Invest 1963 15:: 415–428.

    Article  Google Scholar 

  7. Wide L, Axen R, Porath J . Radioimmunosorbent assay of proteins, chemical couplings of antibodies to insoluble dextran Immunochemistry 1967 4:: 381.

    Article  Google Scholar 

  8. Eriksson E, Rånby M, Gyzander E, Risberg B . Determination of plasminogen activator inhibitor in plasma using t-PA and a chromogenic single point poly-D-lysine stimulated assay Thromb. Res. 1988 50:: 90–101.

    Article  Google Scholar 

  9. Rånby M, Bergsdorf N, Nilsson T, Mellbring G, Winblad B, Bucht G . Age dependence of tissue plasminogen activator concentrations in plasma, as studied by an improved enzyme-linked immunosorbent assay Clin chem 1986 32:: 2160–2165.

    Google Scholar 

  10. Öhrvall M, Tengblad S, Vessby B . Lower tocopherol serum levels in subjects with abdominal adiposity J Intern Med 1993 234:: 53–60.

    Article  Google Scholar 

  11. Thurnhamn DI, Davies JA, Crump BJ, Situnayake RD, Davis M . The use of different lipids to express serum tocopherol: lipid ratios for the measurement of vitamin E status Ann Clin Biochem 1986 23:: 514–520.

    Article  Google Scholar 

  12. Morrison DF . Multivariate statistical methods McGraw-Hill: New York 1976 pp 176–179.

    Google Scholar 

  13. Han 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 Br Med J 1995 311:: 1401–1405.

    Article  Google Scholar 

  14. Ohlson LO, Larsson B, Svärdsudd K, Welin L, Eriksson H, Wilhelmsen L, Björntorp P, Tibblin G . The influence of body fat distribution on the incidence of diabetes mellitus. 13.5 years of follow-up of the participants in the study of men born in 1913 Diabetes 1985 34:: 1055–1058.

    Article  Google Scholar 

  15. Lean MEJ, Han TS, Seidell JC . Impairment of health and quality of life in people with large waist circumference Lancet 1998 351:: 853–856.

    Article  Google Scholar 

  16. Pouliot MC, Després JP, Lemieux S, Moorjani S, Bouchard C, Tremblay A, Nadeau A, Lupien PJ . Waist circumference and abdominal sagittal diameter: Best simple anthropometric indices of abdominal visceral adipose tissue accumulation and related cardiovascular risk in men and women Am J Cardiol 1994 73:: 460–468.

    Article  Google Scholar 

  17. Després JP, Prud'homme D, Pouliot MC, Tremblay A, Bouchard C . Estimation of deep abdominal adipose-tissue accumulation from simple anthropometric measurements in men Am J Clin Nutr 1991 54:: 471–477.

    Article  Google Scholar 

  18. Richelsen B, Pedersen SB . Associations between different anthropometric measurements of fatness and metabolic risk parameters in non-obese, healthy, middle-aged men Int J Obes 1995 19:: 169–174.

    Google Scholar 

  19. Kumlin L, Dimberg L, Mårin P . Ratio of abdominal sagittal diameter to height is strong indicator of coronary risk (letter) Br Med J 1997 314:: 830.

    Article  Google Scholar 

  20. Ashwell M, Lejeune S, McPehrson K . Ratio of waist circumference to height may be better indicator of need for weight management (letter) Br Med J 1996 312:: 377.

    Article  Google Scholar 

  21. Ashwell M, Cole TJ, Dixon AK . Ratio of waist circumference to height is strong predictor of intra-abdominal fat (letter) Br Med J 1996 313:: 559–560.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to M Öhrvall.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Öhrvall, M., Berglund, L. & Vessby, B. Sagittal abdominal diameter compared with other anthropometric measurements in relation to cardiovascular risk. Int J Obes 24, 497–501 (2000). https://doi.org/10.1038/sj.ijo.0801186

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/sj.ijo.0801186

Keywords

This article is cited by

Search

Quick links