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

European Journal of Epidemiology

Volumn 26, Issue 2, 2011, Pages 117-124

  Joseph, Josepha ^a   Svartberg, Johan ^a,b   Njølstad, Inger ^a   Schirmer, Henrik ^a,b  

^a UNIVERSITY OF TROMSØ   (Norway)

^b UNIVERSITY HOSPITAL OF NORTH NORWAY   (Norway)

Author keywords

High metabolic score; Low metabolic score; Metabolic syndrome; Non metabolic risk factors; Receiver operating characteristics; Type 2 diabetes

Indexed keywords

HIGH DENSITY LIPOPROTEIN CHOLESTEROL; TRIACYLGLYCEROL;

ADULT; AGE; AGED; ARTICLE; BODY MASS; CONTROLLED STUDY; EDUCATIONAL STATUS; FAMILY HISTORY; FEMALE; FOLLOW UP; HIGH RISK POPULATION; HUMAN; MALE; METABOLIC SCORE; METABOLIC SYNDROME X; NON INSULIN DEPENDENT DIABETES MELLITUS; NORWAY; PHYSICAL ACTIVITY; RECEIVER OPERATING CHARACTERISTIC; RISK FACTOR; SCORING SYSTEM; SEX DIFFERENCE; SMOKING;

AGE FACTORS; BLOOD GLUCOSE; BLOOD PRESSURE; BODY MASS INDEX; CHOLESTEROL; DIABETES MELLITUS, TYPE 2; FEMALE; FOLLOW-UP STUDIES; HUMANS; MALE; METABOLIC SYNDROME X; MIDDLE AGED; NORWAY; PROPORTIONAL HAZARDS MODELS; RISK ASSESSMENT; RISK FACTORS; ROC CURVE; SELF REPORT; TRIGLYCERIDES; WAIST CIRCUMFERENCE;

EID: 79954437698     PISSN: 03932990     EISSN: 15737284     Source Type: Journal    
DOI: 10.1007/s10654-010-9540-7     Document Type: Article

References (25)

1. GM Reaven 1988 Banting lecture 1988. Role of insulin resistance in human disease Diabetes 37 1595 1607 1:STN:280:DyaL1M%2Flt12msQ%3D%3D 10.2337/diabetes.37.12.1595 3056758 (Pubitemid 19004941)
2. ES Ford 2005 Risks for all-cause mortality, cardiovascular disease, and diabetes associated with the metabolic syndrome: a summary of the evidence Diabetes Care 28 1769 1778 10.2337/diacare.28.7.1769 15983333 (Pubitemid 40923091)
3. ES Ford C Li N Sattar 2008 Metabolic syndrome and incident diabetes Diabetes Care 31 1898 1904 10.2337/dc08-0423 18591398
4. N Sattar A McConnachie AG Shaper GJ Blauw BM Buckley AJ de Craen, et al. 2008 Can metabolic syndrome usefully predict cardiovascular disease and diabetes? Outcome data from two prospective studies Lancet 37 1927 1935 10.1016/S0140-6736(08)60602-9
5. R Kahn J Buse E Ferrannini M Stern 2005 The metabolic syndrome: time for critical appraisal. Joint statement from the American Diabetes Association and the European Association for the Study of Diabetes Diabetologia 48 1684 1699 1:STN:280:DC%2BD2MvptF2hsg%3D%3D 10.1007/s00125-005-1876-2 16079964 (Pubitemid 41317821)
6. RK Simmons KG Alberti EA Gale S Colagiuri J Tuomilehto Q Qiao, et al. 2010 The metabolic syndrome: useful concept or clinical tool? Report of a WHO Expert Consultation Diabetologia 53 600 605 1:STN:280:DC%2BC3c7ksFKgsg%3D%3D 10.1007/s00125-009-1620-4 20012011
7. H Schirmer P Lunde K Rasmussen 1999 Prevalence of left ventricular hypertrophy in a general population; The Tromso Study Eur Heart J 20 429 438 1:STN:280:DyaK1M3ivVelsg%3D%3D 10.1053/euhj.1998.1314 10213346 (Pubitemid 29116539)
8. J Joseph J Svartberg I Njølstad H Schirmer 2010 Incidence of and risk factors for type-2 diabetes in a general population: The Tromsø Study Scand J Public Health 38 768 775 10.1177/1403494810380299 20696770
9. 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. SG Wannamethee AG Shaper L Lennon RW Morris 2005 Metabolic syndrome vs Framingham Risk Score for prediction of coronary heart disease, stroke, and type 2 diabetes mellitus Arch Intern Med 165 2644 2650 10.1001/archinte.165.22.2644 16344423 (Pubitemid 41785063)
11. N Sattar A Gaw O Scherbakova I Ford DS O'Reilly SM Haffner, et al. 2003 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 108 414 419 1:CAS:528:DC%2BD3sXlsFOjt7s%3D 10.1161/01.CIR.0000080897.52664.94 12860911 (Pubitemid 36935533)
12. 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. CD Saudek WH Herman DB Sacks RM Bergenstal D Edelman MB Davidson 2008 A new look at screening and diagnosing diabetes mellitus J Clin Endocrinol Metab 93 2447 2453 1:CAS:528:DC%2BD1cXoslyktL0%3D 10.1210/jc.2007-2174 18460560 (Pubitemid 352008502)
14. PW Wilson RB D'Agostino H Parise L Sullivan JB Meigs 2005 Metabolic syndrome as a precursor of cardiovascular disease and type 2 diabetes mellitus Circulation 112 3066 3072 1:CAS:528:DC%2BD2MXhtF2rtbfL 10.1161/CIRCULATIONAHA. 105.539528 16275870 (Pubitemid 43113437)
15. ES Ford MB Schulze T Pischon MM Bergmann HG Joost H Boeing 2008 Metabolic syndrome and risk of incident diabetes: findings from the European Prospective Investigation into Cancer and Nutrition-Potsdam Study Cardiovasc Diabetol 7 35 10.1186/1475-2840-7-35 19077281
16. T Wilsgaard H Schirmer E Arnesen 2000 Impact of body weight on blood pressure with a focus on sex differences: the Tromso Study, 1986-1995 Arch Intern Med 160 2847 2853 1:STN:280:DC%2BD3cvnvVeltg%3D%3D 10.1001/archinte.160. 18.2847 11025795
17. BK Jacobsen KH Bonaa I Njolstad 2002 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 55 647 653 10.1016/S0895-4356(02)00404-3 12160912 (Pubitemid 34831057)
18. PE Schwarz J Li J Lindstrom J Tuomilehto 2009 Tools for predicting the risk of type 2 diabetes in daily practice Horm Metab Res 41 86 97 1:CAS:528:DC%2BD1MXktVWns7o%3D 10.1055/s-0028-1087203 19021089
19. N Sattar 2008 Why metabolic syndrome criteria have not made prime time: a view from the clinic Int J Obes 32 S30 S34 10.1038/ijo.2008.33 (Pubitemid 351671300)
20. J Stevens D Couper J Pankow AR Folsom BB Duncan FJ Nieto, et al. 2001 Sensitivity and specificity of anthropometrics for the prediction of diabetes in a biracial cohort Obes Res 9 696 705 1:STN:280:DC%2BD3MnoslGktw%3D%3D 10.1038/oby.2001.94 11707536 (Pubitemid 33603884)
21. M Wei SP Gaskill SM Haffner MP Stern 1997 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 5 16 23 1:STN:280: DyaK2s3hsFemug%3D%3D 9061711 (Pubitemid 127702765)
22. TS Han K Williams N Sattar KJ Hunt ME Lean SM Haffner 2002 Analysis of obesity and hyperinsulinemia in the development of metabolic syndrome: San Antonio Heart Study Obes Res 10 923 931 10.1038/oby.2002.126 12226141 (Pubitemid 135688906)
23. PM Ridker JE Buring NR Cook N Rifai 2003 C-reactive protein, the metabolic syndrome, and risk of incident cardiovascular events: an 8-year follow-up of 14719 initially healthy American women Circulation 107 391 397 10.1161/01.CIR.0000055014.62083.05 12551861
24. LE Eberly J Stamler JD Neaton 2003 Relation of triglyceride levels, fasting and nonfasting, to fatal and nonfatal coronary heart disease Arch Intern Med 163 1077 1083 10.1001/archinte.163.9.1077 12742806 (Pubitemid 36548936)
25. ES Ford WH Giles WH Dietz 2002 Prevalence of the metabolic syndrome among US adults: findings from the third National Health and Nutrition Examination Survey JAMA 287 356 359 10.1001/jama.287.3.356 11790215 (Pubitemid 34251969)