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.

  • Original Article
  • Published:

Does the constellation of risk factors with and without abdominal adiposity associate with different cardiovascular mortality risk?

Abstract

Aims:

To evaluate whether the metabolic syndrome (MetS) defined by the International Diabetes Federation (IDF) criteria, which has abdominal adiposity as a mandatory element, predicts cardiovascular disease (CVD) mortality better than the cluster of other IDF-defined abnormalities not including abdominal adiposity.

Methods:

Data from nine European population-based studies, including 7782 men and 7739 women (aged 30–89 years), with a median follow-up of 8.55 years, were jointly analyzed. Hazard ratios for CVD mortality were calculated with Cox regression models.

Results:

In total, 41% of the men and 38% of the women had the IDF MetS. Individuals with the IDF MetS were by definition more obese and had a higher prevalence of diabetes than non-obese subjects with 2 IDF abnormalities; whereas non-obese men with 3 factors had more atherogenic lipid profiles. Multivariate adjusted hazard ratio for CVD death in men and women with the IDF MetS was 2.44 (1.69–2.98) and 2.32 (1.27–4.23); in non-obese men with 2 and 3 factors the hazard ratio was 1.60 (1.12–2.30) and 2.44 (1.62–3.66), respectively, and in non-obese women with 2 factors the hazard ratio was 2.41 (1.09–5.33).

Conclusions:

The cluster of the CVD risk factors predicted CVD mortality regardless of the presence or absence of the abdominal adiposity. Inclusion of abdominal adiposity as a prerequisite will miss those non-obese individuals who have increased CVD mortality.

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. Alberti KGM, Zimmet P, Shaw J . The metabolic syndrome—a new worldwide definition. Lancet 2005; 366: 1059–1062.

    Article  Google Scholar 

  2. The DECODE Study Group on behalf of the European Diabetes Epidemiology Study Group. Will new diagnostic criteria for diabetes mellitus change phenotype of patients with diabetes? Reanalysis of European epidemiological data. BMJ 1998; 317: 371–375.

    Article  Google Scholar 

  3. The DECODE Study Group. Is fasting glucose sufficient to define diabetes? Epidemiological data from 20 European studies. The DECODE-study group. European Diabetes Epidemiology Group. Diabetes Epidemiology: Collaborative Analysis of Diagnostic Criteria in Europe. Diabetologia 1999; 42: 647–654.

    Article  Google Scholar 

  4. The DECODE Study Group. Glucose tolerance and cardiovascular mortality: comparison of fasting and 2-h diagnostic criteria. Arch Intern Med 2001; 161: 397–405.

    Article  Google Scholar 

  5. The DECODE Study Group. Is the current definition for diabetes relevant to mortality risk from all causes and cardiovascular and noncardiovascular diseases? Diabetes Care 2003; 26: 688–696.

    Article  Google Scholar 

  6. Hu G . Gender difference in all-cause and cardiovascular mortality related to hyperglycaemia and newly-diagnosed diabetes. Diabetologia 2003; 46: 608–617.

    Article  CAS  Google Scholar 

  7. Balkau B, Hu G, Qiao Q, Tuomilehto J, Borch-Johnsen K, Pyorala K . Prediction of the risk of cardiovascular mortality using a score that includes glucose as a risk factor. The DECODE Study. Diabetologia 2004; 47: 2118–2128.

    Article  CAS  Google Scholar 

  8. Hu G, Qiao Q, Tuomilehto J, Balkau B, Borch-Johnsen K, Pyorala K . Prevalence of the metabolic syndrome and its relation to all-cause and cardiovascular mortality in nondiabetic European men and women. Arch Intern Med 2004; 164: 1066–1076.

    Article  Google Scholar 

  9. W.H.O Consultation. Definition, Diagnosis and Classification of Diabetes Mellitus and its Complications. Part 1: Diagnosis and Classification of Diabetes Mellitus. WHO99.2: Geneva, 1999.

  10. Ford ES . Risks for all-cause mortality, cardiovascular disease, and diabetes associated with the metabolic syndrome: a summary of the evidence. Diabetes Care 2005; 28: 1769–1778.

    Article  Google Scholar 

  11. Isomaa B, Almgren P, Tuomi T, Forsen B, Lahti K, Nissen M et al. Cardiovascular morbidity and mortality associated with the metabolic syndrome. Diabetes Care 2001; 24: 683–689.

    Article  CAS  Google Scholar 

  12. Lakka H-M, Laaksonen DE, Lakka TA, Niskanen LK, Kumpusalo E, Tuomilehto J et al. The metabolic syndrome and total and cardiovascular disease mortality in middle-aged men. JAMA 2002; 288: 2709–2716.

    Article  Google Scholar 

  13. Malik S, Wong ND, Franklin SS, Kamath TV, L’Italien GJ, Pio JR et al. Impact of the metabolic syndrome on mortality from coronary heart disease, cardiovascular disease, and all causes in United States adults. Circulation 2004; 110: 1245–1250.

    Article  Google Scholar 

  14. McNeill AM, Rosamond WD, Girman CJ, Golden SH, Schmidt MI, East HE et al. The metabolic syndrome and 11-year risk of incident cardiovascular disease in the atherosclerosis risk in communities study. Diabetes Care 2005; 28: 385–390.

    Article  Google Scholar 

  15. Katzmarzyk PT, Church TS, Blair SN . Cardiorespiratory fitness attenuates the effects of the metabolic syndrome on all-cause and cardiovascular disease mortality in men. Arch Intern Med 2004; 164: 1092–1097.

    Article  Google Scholar 

  16. Stern MP, Williams K, Hunt KJ . Impact of diabetes/metabolic syndrome in patients with established cardiovascular disease. Atheroscler Suppl 2005; 6: 3–6.

    Article  CAS  Google Scholar 

  17. Irace C, Cortese C, Fiaschi E, Carallo C, Sesti G, Farinaro E et al. Components of the metabolic syndrome and carotid atherosclerosis: role of elevated blood pressure. Hypertension 2005; 45: 597–601.

    Article  CAS  Google Scholar 

  18. Sone H, Mizuno S, Fujii H, Yoshimura Y, Yamasaki Y, Ishibashi S et al. Is the diagnosis of metabolic syndrome useful for predicting cardiovascular disease in Asian diabetic patients? Analysis from the Japan Diabetes Complications Study. Diabetes Care 2005; 28: 1463–1471.

    Article  Google Scholar 

  19. Scuteri A, Najjar SS, Morrell CH, Lakatta EG . The metabolic syndrome in older individuals: prevalence and prediction of cardiovascular events: the Cardiovascular Health Study. Diabetes Care 2005; 28: 882–887.

    Article  Google Scholar 

  20. Resnick HE, Jones K, Ruotolo G, Jain AK, Henderson J, Lu W et al. Insulin resistance, the metabolic syndrome, and risk of incident cardiovascular disease in nondiabetic American Indians: the Strong Heart Study. Diabetes Care 2003; 26: 861–867.

    Article  Google Scholar 

  21. Fleiss JL . The statistical basis of meta-analysis. Stat Methods Med Res 1993; 2: 121–145.

    Article  CAS  Google Scholar 

Download references

Acknowledgements

This analysis has been carried out with the help of grants from Paulo Foundation, Finland, from Future Forum Research Grant 2004, from Novo Nordisk Foundation 2005 and from Academy Finland (118492). The DECODE Study has been financially supported by unlimited grants from Novo Nordisk, Bagsvaerd, Denmark, from Novartis Pharma AG, Basel, Switzerland, from AstraZeneca R&D Mölndal, Sweden and from Academy of Finland.

Author information

Authors and Affiliations

Consortia

Additional information

Conflict of interest

The authors state no conflict of interest.

Appendix

Appendix

Organization

The Diabetes Epidemiology: Collaborative Analysis of Diagnostic Criteria in Europe (DECODE) Study was undertaken in 1997 upon the initiative of the European Diabetes Epidemiology Group.

Studies and investigators in this collaborative study were

Finland

FINMONICA: J Tuomilehto1,2,3, P Jousilahti2 and J Lindström2

1Department of Public Health, University of Helsinki, Helsinki; 2Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki and 3South Ostrobothnia Central Hospital, Seinäjoki

FINRISK 2002: J Tuomilehto1,2,3, T Laatikainen2, M Peltonen2 and J Lindström2

1Department of Public Health, University of Helsinki, Helsinki; 2Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki and 3South Ostrobothnia Central Hospital, Seinäjoki

Italy

Cremona Study: MP Garancini, G Calori and G Ruotolo

Clinical Cardiovascular Biology Research Centre, San Raffaele Scientific Institute, Milan

The Netherlands

The Hoorn Study: LM Bouter1, JM Dekker1, RJ Heine1, G Nijpels1 and CDA Stehouwer1,2

1Vrije Universiteit Medical Center, Institute for Research in Extramural Medicine, Amsterdam and 2Department of Medicine, University Hospital Maastricht, AZ Maastricht

Poland

POLMONICA (Krakow): A Pajak and E Kawalec. Unit of Health Care, Department of Epidemiology and Population Studies, Institute of Public Health, Collegium Medicum Jagiellonian University, Krakow

Sweden

Northern Sweden MONICA: M Eliasson, B Stegmayr and V Lundberg

Department of Public Health and Clinical Medicine, University of Umeå, Umeå

The Uppsala Longitudinal Study of Adult Men (ULSAM): B Zethelius

Department of Public Health/Geriatrics, Uppsala University Hospital, Uppsala

UK

Isle of Ely Diabetes Project: NJ Wareham

MRC Epidemiology Unit, Strangeways Research Labs, Cambridge

Newcastle Heart Project: N Unwin, N Ahmad, KGMM Alberti and L Hayes

Department of Medicine and Epidemiology and Public Health, University of Newcastle, Newcastle

Secretariat:

Q Qiao1,2, K Borch-Johnsen3 and J Tuomilehto1,2

1Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki, Finland; 2Department of Public Health, University of Helsinki, Helsinki, Finland and 3Steno Diabetes Center, Gentofte, Denmark

Data analysis:

WG Gao1,2 and Q Qiao1,2

1Department of Public Health, University of Helsinki, Helsinki, Finland and 2Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki, Finland

Writing Committee:

WG Gao1,2, Q Qiao1,2, J Tuomilehto1,2, B Balkau3, G Ruotolo4, G Calor4, MP Garancini4, KMMG Alberti5 and CDA Stehouwer6

1Department of Public Health, University of Helsinki, Helsinki, Finland; 2Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki, Finland; 3INSERM U258-IFR69, Paris, France; 4Clinical Cardiovascular Biology Research Centre, San Raffaele Scientific Institute, Milan, Italy; 5Department of Endocrinology and Metabolic Medicine, Mint Wing, St Mary's Hospital, London, UK and 6Department of Medicine, University Hosptial Maastricht, AZ Maastricht, The Netherlands

Rights and permissions

Reprints and permissions

About this article

Cite this article

The DECODE Study Group. Does the constellation of risk factors with and without abdominal adiposity associate with different cardiovascular mortality risk?. Int J Obes 32, 757–762 (2008). https://doi.org/10.1038/sj.ijo.0803797

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/sj.ijo.0803797

Keywords

This article is cited by

Search

Quick links