The metabolic syndrome as a predictor of incident diabetes and cardiovascular events in the Health 2000 Study;Syndrome métabolique: valeur prédictive du diabète et des événements cardiovasculaires dans l'étude Santé 2000

Diabetes and Metabolism

Volumn 36, Issue 5, 2010, Pages 395-401

  Pajunen, P ^a   Rissanen, H ^a   Harkanen T ^a   Jula, A ^a   Reunanen, A ^a   Salomaa, V ^a  

^a NATIONAL PUBLIC HEALTH INSTITUTE   (Finland)

Author keywords

Cardiovascular disease; Diabetes; Longitudinal study; Metabolic syndrome; Predictive value

Indexed keywords

ACUTE HEART INFARCTION; ADULT; AGED; ARTICLE; CARDIOVASCULAR DISEASE; DIABETES MELLITUS; FEMALE; FOLLOW UP; HEART DEATH; HEART MUSCLE REVASCULARIZATION; HUMAN; MAJOR CLINICAL STUDY; MALE; METABOLIC SYNDROME X; PREVALENCE; STROKE;

ADULT; AGED; BAYES THEOREM; CARDIOVASCULAR DISEASES; DIABETES MELLITUS; FEMALE; FINLAND; HUMANS; MALE; METABOLIC SYNDROME X; MIDDLE AGED; MYOCARDIAL INFARCTION; PROPORTIONAL HAZARDS MODELS; SEX FACTORS; STROKE;

EID: 78649444068     PISSN: 12623636     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.diabet.2010.04.003     Document Type: Article

References (31)

1. Kahn R., Buse J., Ferrannini E., Stern M. The metabolic syndrome: time for a critical appraisal: joint statement from the American Diabetes Association and the European Association for the Study of Diabetes. Diabetes Care 2005, 28:2289-2304.
2. Definition, diagnosis and classification of diabetes mellitus and its complications. Report of a WHO consultation. Part 1 1999, The World Health Organization, World Health Organization, Geneva.
3. Balkau B., Charles M.A. Comment on the provisional report from the WHO consultation. European Group for the Study of Insulin Resistance (EGIR). Diabet Med 1999, 16:442-443.
4. 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;285:2486-97.
5. Einhorn D., Reaven G.M., Cobin R.H., Ford E., Ganda O.P., Handelsman Y., et al. American College of Endocrinology position statement on the insulin resistance syndrome. Endocr Pract 2003, 9:237-252.
6. Grundy S.M., Cleeman J.I., Daniels S.R., Donato K.A., Eckel R.H., Franklin B.A., et al. Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. Circulation 2005, 112:2735-2752.
7. Alberti K.G., Zimmet P., Shaw J. The metabolic syndrome-a new worldwide definition. Lancet 2005, 366:1059-1062.
8. Alberti K.G., Eckel R.H., Grundy S.M., Zimmet P.Z., Cleeman J.I., Donato K.A., et al. Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation 2009, 120:1640-1645.
9. Lorenzo C., Williams K., Hunt K.J., Haffner S.M. The National Cholesterol Education Program, Adult Treatment Panel III, International Diabetes Federation, and World Health Organization definitions of the metabolic syndrome as predictors of incident cardiovascular disease and diabetes. Diabetes Care 2007, 30:8-13.
10. de Simone G., Devereux R.B., Chinali M., Best L.G., Lee E.T., Galloway J.M., et al. Prognostic impact of metabolic syndrome by different definitions in a population with high prevalence of obesity and diabetes: the Strong Heart Study. Diabetes Care 2007, 30:1851-1856.
11. Jeppesen J., Hansen T.W., Rasmussen S., Ibsen H., Torp-Pedersen C., Madsbad S. Insulin resistance, the metabolic syndrome, and risk of incident cardiovascular disease: a population-based study. J Am Coll Cardiol 2007, 49:2112-2119.
12. Nilsson P.M., Engstrom G., Hedblad B. The metabolic syndrome and incidence of cardiovascular disease in non-diabetic subjects--a population-based study comparing three different definitions. Diabet Med 2007, 24:464-472.
13. Meigs J.B., Rutter M.K., Sullivan L.M., Fox C.S., D'Agostino R.B., Wilson P.W. Impact of insulin resistance on risk of type 2 diabetes and cardiovascular disease in people with metabolic syndrome. Diabetes Care 2007, 30:1219-1225.
14. Cameron A.J., Magliano D.J., Zimmet P.Z., Welborn T.A., Colagiuri S., Tonkin A.M., et al. The metabolic syndrome as a tool for predicting future diabetes: the AusDiab study. J Intern Med 2008, 264:177-186.
15. Qiao Q., Laatikainen T., Zethelius B., Stegmayr B., Eliasson M., Jousilahti P., et al. Comparison of definitions of metabolic syndrome in relation to the risk of developing stroke and coronary heart disease in Finnish and Swedish cohorts. Stroke 2009, 40:337-343.
16. Woodward M., Tunstall-Pedoe H. The metabolic syndrome is not a sensible tool for predicting the risk of coronary heart disease. Eur J Cardiovasc Prev Rehabil 2009, 16:210-214.
17. D'Agostino R.B., Vasan R.S., Pencina M.J., Wolf P.A., Cobain M., Massaro J.M., et al. General cardiovascular risk profile for use in primary care: the Framingham Heart Study. Circulation 2008, 117:743-753.
18. Aromaa A. Health and functional capacity in Finland. Baseline Results of the Health 2000 Health Examination Survey 2004, Helsinki: KTL-National Public Health Institute.
19. Heistaro S. Methodology report Health 2000 Survey 2008, Helsinki: KTL-National Public Health Institute.
20. Korn E. Analysis of health surveys 1999, Wiley, New York.
21. Lehtonen R., Pahkinen E. Practical Methods for Design and Analysis of Complex Surveys 1995, John Wiley & Sons Ltd, New York.
22. SAS/STAT® New York NY 9. 2 User's Guide 2009, SAS, SAS Institute Inc, Cary, NC. Second Edition.
23. Schwarz G. Estimating the Dimension of a Model. Annals of Statistics 1978, 6:461-464.
24. R: A language and environment for statistical computing R Foundation for Statistical Computing 2009, R Development Core Team, [Available from: http://www.R-project.org].
25. Ford E.S., Li C., Sattar N. Metabolic syndrome and incident diabetes: current state of the evidence. Diabetes Care 2008, 31:1898-1904.
26. Hu G., Lindström J., Jousilahti P., Peltonen M., Sjöberg L., Kaaja R., et al. The increasing prevalence of metabolic syndrome among Finnish men and women over a decade. J Clin Endocrinol Metab 2008, 93:832-836.
27. Gami A.S., Witt B.J., Howard D.E., Erwin P.J., Gami L.A., Somers V.K., et al. Metabolic syndrome and risk of incident cardiovascular events and death: a systematic review and meta-analysis of longitudinal studies. J Am Coll Cardiol 2007, 49:403-414.
28. McNeill A.M., Rosamond W.D., Girman C.J., Golden S.H., Schmidt M.I., East H.E., 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.
29. Sattar N., McConnachie A., Shaper A.G., Blauw G.J., Buckley B.M., de Craen A.J., et al. Can metabolic syndrome usefully predict cardiovascular disease and diabetes? Outcome data from two prospective studies. Lancet 2008, 371:1927-1935.
30. Pajunen P., Koukkunen H., Ketonen M., Jerkkola T., Immonen-Räihä P., Kärjä-Koskenkari P., et al. The validity of the Finnish Hospital Discharge Register and Causes of Death Register data on coronary heart disease. Eur J Cardiovasc Prev Rehabil 2005, 12:132-137.
31. Tolonen H., Salomaa V., Torppa J., Sivenius J., Immonen-Räihä P., Lehtonen A. The validation of the Finnish Hospital Discharge Register and Causes of Death Register data on stroke diagnoses. Eur J Cardiovasc Prev Rehabil 2007, 14:380-385.