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Published in: European Journal of Epidemiology 2/2011

Open Access 01-02-2011 | DIABETES

Risk factors for type 2 diabetes in groups stratified according to metabolic syndrome: a 10-year follow-up of The Tromsø Study

Authors: Josepha Joseph, Johan Svartberg, Inger Njølstad, Henrik Schirmer

Published in: European Journal of Epidemiology | Issue 2/2011

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Abstract

Many incident cases of type 2 diabetes do not fulfil the metabolic syndrome, which accordingly has been questioned both as a research and clinical tool. The aim of this study was to determine differences in risk factors for type 2 diabetes between groups with high or low metabolic score. The study population were 26,093 men and women attending the Tromsø Study in 1994, followed through 2005, and who did not have diabetes when entering the study. A total of 492 incident cases of type 2 diabetes were registered. A metabolic score was defined according to a modified version of the National Cholesterol Education Program Adult Treatment Panel III. For those fulfilling ≥ 3 metabolic score criteria, increasing age, body mass index (BMI), triglycerides and a family history of diabetes were independent predictors. Age, BMI, and triglycerides predicted type 2 diabetes more strongly in subjects with low metabolic score, whereas high HDL cholesterol was not protective in this low risk group. The risk associated with a positive family history was unaffected by level of metabolic score. In addition smoking, low education and in men also physical inactivity were independent risk factors only in those with low metabolic score. Adding these non-metabolic risk factors increased correct classification from an ROC area of 77.2 to 87.1% (P value < 0.0001). One half of the incident cases of type 2 diabetes were missed by using high metabolic score for risk prediction.
Literature
1.
go back to reference Reaven GM. Banting lecture 1988. Role of insulin resistance in human disease. Diabetes. 1988;37:1595–607.CrossRefPubMed Reaven GM. Banting lecture 1988. Role of insulin resistance in human disease. Diabetes. 1988;37:1595–607.CrossRefPubMed
2.
go back to reference Ford ES. Risks for all-cause mortality, cardiovascular disease, and diabetes associated with the metabolic syndrome: a summary of the evidence. Diabetes Care. 2005;28:1769–78.CrossRefPubMed Ford ES. Risks for all-cause mortality, cardiovascular disease, and diabetes associated with the metabolic syndrome: a summary of the evidence. Diabetes Care. 2005;28:1769–78.CrossRefPubMed
3.
go back to reference Ford ES, Li C, Sattar N. Metabolic syndrome and incident diabetes. Diabetes Care. 2008;31:1898–904.CrossRefPubMed Ford ES, Li C, Sattar N. Metabolic syndrome and incident diabetes. Diabetes Care. 2008;31:1898–904.CrossRefPubMed
4.
go back to reference Sattar N, McConnachie A, Shaper AG, Blauw GJ, Buckley BM, de Craen AJ, et al. Can metabolic syndrome usefully predict cardiovascular disease and diabetes? Outcome data from two prospective studies. Lancet. 2008;37:1927–35.CrossRef Sattar N, McConnachie A, Shaper AG, Blauw GJ, Buckley BM, de Craen AJ, et al. Can metabolic syndrome usefully predict cardiovascular disease and diabetes? Outcome data from two prospective studies. Lancet. 2008;37:1927–35.CrossRef
5.
go back to reference Kahn R, Buse J, Ferrannini E, Stern M. The metabolic syndrome: time for critical appraisal. Joint statement from the American Diabetes Association and the European Association for the Study of Diabetes. Diabetologia. 2005;48:1684–99.CrossRefPubMed Kahn R, Buse J, Ferrannini E, Stern M. The metabolic syndrome: time for critical appraisal. Joint statement from the American Diabetes Association and the European Association for the Study of Diabetes. Diabetologia. 2005;48:1684–99.CrossRefPubMed
6.
go back to reference Simmons RK, Alberti KG, Gale EA, Colagiuri S, Tuomilehto J, Qiao Q, et al. The metabolic syndrome: useful concept or clinical tool? Report of a WHO Expert Consultation. Diabetologia. 2010;53:600–5.CrossRefPubMed Simmons RK, Alberti KG, Gale EA, Colagiuri S, Tuomilehto J, Qiao Q, et al. The metabolic syndrome: useful concept or clinical tool? Report of a WHO Expert Consultation. Diabetologia. 2010;53:600–5.CrossRefPubMed
7.
go back to reference Schirmer H, Lunde P, Rasmussen K. Prevalence of left ventricular hypertrophy in a general population; The Tromso Study. Eur Heart J. 1999;20:429–38.CrossRefPubMed Schirmer H, Lunde P, Rasmussen K. Prevalence of left ventricular hypertrophy in a general population; The Tromso Study. Eur Heart J. 1999;20:429–38.CrossRefPubMed
8.
go back to reference Joseph J, Svartberg J, Njølstad I, Schirmer H. Incidence of and risk factors for type-2 diabetes in a general population: The Tromsø Study. Scand J Public Health. 2010;38:768–75.CrossRefPubMed Joseph J, Svartberg J, Njølstad I, Schirmer H. Incidence of and risk factors for type-2 diabetes in a general population: The Tromsø Study. Scand J Public Health. 2010;38:768–75.CrossRefPubMed
9.
go back to reference Expert Panel on Detection, Evaluation and Treatment of High blood Cholsterol 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 (Adults Treatment Pannel III). JAMA. 2001; 285:2486–97. Expert Panel on Detection, Evaluation and Treatment of High blood Cholsterol 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 (Adults Treatment Pannel III). JAMA. 2001; 285:2486–97.
10.
go back to reference Wannamethee SG, Shaper AG, Lennon L, Morris RW. Metabolic syndrome vs Framingham Risk Score for prediction of coronary heart disease, stroke, and type 2 diabetes mellitus. Arch Intern Med. 2005;165:2644–50.CrossRefPubMed Wannamethee SG, Shaper AG, Lennon L, Morris RW. Metabolic syndrome vs Framingham Risk Score for prediction of coronary heart disease, stroke, and type 2 diabetes mellitus. Arch Intern Med. 2005;165:2644–50.CrossRefPubMed
11.
go back to reference Sattar N, Gaw A, Scherbakova O, Ford I, O’Reilly DS, Haffner SM, et al. Metabolic syndrome with and without C-reactive protein as a predictor of coronary heart disease and diabetes in the West of Scotland Coronary Prevention Study. Circulation. 2003;108:414–9.CrossRefPubMed Sattar N, Gaw A, Scherbakova O, Ford I, O’Reilly DS, Haffner SM, et al. Metabolic syndrome with and without C-reactive protein as a predictor of coronary heart disease and diabetes in the West of Scotland Coronary Prevention Study. Circulation. 2003;108:414–9.CrossRefPubMed
12.
go back to reference Alberti K, Zimmet P, for a WHO consultation. Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: Diagnosis and classification of diabetes mellitus. Geneva: World Health Organization; 1999. Alberti K, Zimmet P, for a WHO consultation. Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: Diagnosis and classification of diabetes mellitus. Geneva: World Health Organization; 1999.
13.
go back to reference Saudek CD, Herman WH, Sacks DB, Bergenstal RM, Edelman D, Davidson MB. A new look at screening and diagnosing diabetes mellitus. J Clin Endocrinol Metab. 2008;93:2447–53.CrossRefPubMed Saudek CD, Herman WH, Sacks DB, Bergenstal RM, Edelman D, Davidson MB. A new look at screening and diagnosing diabetes mellitus. J Clin Endocrinol Metab. 2008;93:2447–53.CrossRefPubMed
14.
go back to reference Wilson PW, D’Agostino RB, Parise H, Sullivan L, Meigs JB. Metabolic syndrome as a precursor of cardiovascular disease and type 2 diabetes mellitus. Circulation. 2005;112:3066–72.CrossRefPubMed Wilson PW, D’Agostino RB, Parise H, Sullivan L, Meigs JB. Metabolic syndrome as a precursor of cardiovascular disease and type 2 diabetes mellitus. Circulation. 2005;112:3066–72.CrossRefPubMed
15.
go back to reference Ford ES, Schulze MB, Pischon T, Bergmann MM, Joost HG, Boeing H. Metabolic syndrome and risk of incident diabetes: findings from the European Prospective Investigation into Cancer and Nutrition-Potsdam Study. Cardiovasc Diabetol. 2008;7:35.CrossRefPubMed Ford ES, Schulze MB, Pischon T, Bergmann MM, Joost HG, Boeing H. Metabolic syndrome and risk of incident diabetes: findings from the European Prospective Investigation into Cancer and Nutrition-Potsdam Study. Cardiovasc Diabetol. 2008;7:35.CrossRefPubMed
16.
go back to reference Wilsgaard T, Schirmer H, Arnesen E. Impact of body weight on blood pressure with a focus on sex differences: the Tromso Study, 1986–1995. Arch Intern Med. 2000;160:2847–53.CrossRefPubMed Wilsgaard T, Schirmer H, Arnesen E. Impact of body weight on blood pressure with a focus on sex differences: the Tromso Study, 1986–1995. Arch Intern Med. 2000;160:2847–53.CrossRefPubMed
17.
go back to reference Jacobsen BK, Bonaa KH, Njolstad I. Cardiovascular risk factors, change in risk factors over 7 years, and the risk of clinical diabetes mellitus type 2. The Tromso study. J Clin Epidemiol. 2002;55:647–53.CrossRefPubMed Jacobsen BK, Bonaa KH, Njolstad I. Cardiovascular risk factors, change in risk factors over 7 years, and the risk of clinical diabetes mellitus type 2. The Tromso study. J Clin Epidemiol. 2002;55:647–53.CrossRefPubMed
18.
go back to reference Schwarz PE, Li J, Lindstrom J, Tuomilehto J. Tools for predicting the risk of type 2 diabetes in daily practice. Horm Metab Res. 2009;41:86–97.CrossRefPubMed Schwarz PE, Li J, Lindstrom J, Tuomilehto J. Tools for predicting the risk of type 2 diabetes in daily practice. Horm Metab Res. 2009;41:86–97.CrossRefPubMed
19.
go back to reference Sattar N. Why metabolic syndrome criteria have not made prime time: a view from the clinic. Int J Obes. 2008;32:S30–4.CrossRef Sattar N. Why metabolic syndrome criteria have not made prime time: a view from the clinic. Int J Obes. 2008;32:S30–4.CrossRef
20.
go back to reference Stevens J, Couper D, Pankow J, Folsom AR, Duncan BB, Nieto FJ, et al. Sensitivity and specificity of anthropometrics for the prediction of diabetes in a biracial cohort. Obes Res. 2001;9:696–705.CrossRefPubMed Stevens J, Couper D, Pankow J, Folsom AR, Duncan BB, Nieto FJ, et al. Sensitivity and specificity of anthropometrics for the prediction of diabetes in a biracial cohort. Obes Res. 2001;9:696–705.CrossRefPubMed
21.
go back to reference Wei M, Gaskill SP, Haffner SM, Stern MP. Waist circumference as the best predictor of noninsulin dependent diabetes mellitus (NIDDM) compared to body mass index, waist/hip ratio and other anthropometric measurements in Mexican Americans—a 7-year prospective study. Obes Res. 1997;5:16–23.PubMed Wei M, Gaskill SP, Haffner SM, Stern MP. Waist circumference as the best predictor of noninsulin dependent diabetes mellitus (NIDDM) compared to body mass index, waist/hip ratio and other anthropometric measurements in Mexican Americans—a 7-year prospective study. Obes Res. 1997;5:16–23.PubMed
22.
go back to reference Han TS, Williams K, Sattar N, Hunt KJ, Lean ME, Haffner SM. Analysis of obesity and hyperinsulinemia in the development of metabolic syndrome: San Antonio Heart Study. Obes Res. 2002;10:923–31.CrossRefPubMed Han TS, Williams K, Sattar N, Hunt KJ, Lean ME, Haffner SM. Analysis of obesity and hyperinsulinemia in the development of metabolic syndrome: San Antonio Heart Study. Obes Res. 2002;10:923–31.CrossRefPubMed
23.
go back to reference Ridker PM, Buring JE, Cook NR, Rifai N. C-reactive protein, the metabolic syndrome, and risk of incident cardiovascular events: an 8-year follow-up of 14719 initially healthy American women. Circulation. 2003;107:391–7.CrossRefPubMed Ridker PM, Buring JE, Cook NR, Rifai N. C-reactive protein, the metabolic syndrome, and risk of incident cardiovascular events: an 8-year follow-up of 14719 initially healthy American women. Circulation. 2003;107:391–7.CrossRefPubMed
24.
go back to reference Eberly LE, Stamler J, Neaton JD. Relation of triglyceride levels, fasting and nonfasting, to fatal and nonfatal coronary heart disease. Arch Intern Med. 2003;163:1077–83.CrossRefPubMed Eberly LE, Stamler J, Neaton JD. Relation of triglyceride levels, fasting and nonfasting, to fatal and nonfatal coronary heart disease. Arch Intern Med. 2003;163:1077–83.CrossRefPubMed
25.
go back to reference Ford ES, Giles WH, Dietz WH. Prevalence of the metabolic syndrome among US adults: findings from the third National Health and Nutrition Examination Survey. JAMA. 2002;287:356–9.CrossRefPubMed Ford ES, Giles WH, Dietz WH. Prevalence of the metabolic syndrome among US adults: findings from the third National Health and Nutrition Examination Survey. JAMA. 2002;287:356–9.CrossRefPubMed
Metadata
Title
Risk factors for type 2 diabetes in groups stratified according to metabolic syndrome: a 10-year follow-up of The Tromsø Study
Authors
Josepha Joseph
Johan Svartberg
Inger Njølstad
Henrik Schirmer
Publication date
01-02-2011
Publisher
Springer Netherlands
Published in
European Journal of Epidemiology / Issue 2/2011
Print ISSN: 0393-2990
Electronic ISSN: 1573-7284
DOI
https://doi.org/10.1007/s10654-010-9540-7

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