What predicts the occurrence of the metabolic syndrome in a population-based cohort of adult healthy subjects?

Diabetes/Metabolism Research and Reviews

Volumn 25, Issue 1, 2009, Pages 76-82

  Bo, S ^a   Rosato, R ^b   Ciccone, G ^b   Gambino, R ^a   Durazzo, M ^a   Gentile, L ^c   Cassader, M ^a   Cavallo Perin, P ^a   Pagano, G ^a  

^a UNIVERSITY OF TURIN   (Italy)

^b MOLINETTE HOSPITAL   (Italy)

^c Hospital of Asti   (Italy)

Author keywords

C reactive protein; Fasting glucose; Homeostasis model assessment insulin resistance; Metabolic syndrome; Waist circumference

Indexed keywords

C REACTIVE PROTEIN; GLUCOSE;

ADULT; ARTICLE; CONTROLLED STUDY; DISEASE ASSOCIATION; FEMALE; HOMEOSTASIS; HUMAN; INSULIN RESISTANCE; MAJOR CLINICAL STUDY; MALE; METABOLIC SYNDROME X; POPULATION BASED CASE CONTROL STUDY; PREDICTOR VARIABLE; PRIORITY JOURNAL; PROTEIN EXPRESSION; RECEIVER OPERATING CHARACTERISTIC; RISK ASSESSMENT; SENSITIVITY AND SPECIFICITY; WAIST CIRCUMFERENCE; WEIGHT GAIN; BLOOD; BLOOD PRESSURE; COHORT ANALYSIS; ITALY; MIDDLE AGED; PATHOPHYSIOLOGY; PREDICTION AND FORECASTING; PREVALENCE; REFERENCE VALUE; REGRESSION ANALYSIS; ROC CURVE;

BLOOD PRESSURE; C-REACTIVE PROTEIN; COHORT STUDIES; HUMANS; ITALY; METABOLIC SYNDROME X; MIDDLE AGED; PREDICTIVE VALUE OF TESTS; PREVALENCE; REFERENCE VALUES; REGRESSION ANALYSIS; ROC CURVE; WAIST CIRCUMFERENCE;

EID: 65549118165     PISSN: 15207552     EISSN: 15207560     Source Type: Journal    
DOI: 10.1002/dmrr.910     Document Type: Article

References (31)

1. Eckel R, Grundy SM, Zimmet PZ. The metabolic syndrome. Lancet 2005; 365: 1415-1428.
2. Kahn R, Buse J, Ferranini 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.
3. Everson SA, Goldberg DE, Helmrich SP, et al. Weight gain and the risk of developing insulin resistance syndrome. Diabetes Care 1998; 21: 1637-1643.
4. Lloyd-Jones DM, Liu K, Colangelo LA, et al. Consistently stable or decreased body mass index in young adulthood and longitudinal changes in metabolic syndrome components: the Coronary Artery Risk Development in Young Adults Study. Circulation 2007; 115: 1004-1111.
5. Ekelund U, Brage S, Franks PW, Hennings S, Emms S, Wareham NJ. Physical activity energy expenditure predicts progression toward the metabolic syndrome independently of aerobic fitness in middle-aged healthy Caucasians. Diabetes Care 2005; 28: 1195-1200.
6. Laaksonen DE, Lakka HM, Salonen JT, Niskanen LK, Rauramaa R, Lakka TA. Low level of leisure-time physical activity and cardiorespiratory fitness predict development of the metabolic syndrome. Diabetes Care 2002; 25: 1612-1618.
7. LaMonte MJ, Barlow CE, Jurca R, Kampert JB, Church TS, Blair SN. Cardiorespiratory fitness is inversely associated with the incidence of metabolic syndrome. Circulation 2005; 112: 505-512.
8. Millen BE, Pencina MJ, Kimokoti RW, et al. Nutritional risk and the metabolic syndrome in women: opportunities for preventive intervention from the Framingham Nutrition Study. Am J Clin Nutr 2006; 84: 434-441.
9. Sung KG, Rhee EJ. Glycated haemoglobin as a predictor for metabolic syndrome in non-diabetic Korean adults. Diabet Med 2007; 24: 848-854.
10. Han TS, Sattar N, Williams K, Gonzales-Villalpando C, Lean MEJ, Haffner SM. Prospective study of C-reactive protein in relation to the development of diabetes and metabolic syndrome in the Mexico City Diabetes Study. Diabetes Care 2002; 25: 2016-2021.
11. Laaksonen DE, Niskanen L, Nyyssönen K, et al. C-reactive protein and the development of the metabolic syndrome and diabetes in middle-aged men. Diabetologia 2004; 47: 1403-1410.
12. Bo S, Gentile L, Ciccone G, et al. The metabolic syndrome and high C-reactive protein: prevalence and difference by sex in a southern-European population-based cohort. Diabetes Metab Res Rev 2005; 21: 515-524.
13. Bo S, Gambino R, Uberti B, et al. Does C-reactive protein identify a sub-clinical metabolic disease in healthy subjects? Eur J Clin Invest 2005; 35: 265-270.
14. National Institute of Health. 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: 2486-2497.
15. International Diabetes Federation. The IDF consensus worldwide definition of the metabolic syndrome. 2005; Available at http://www.idf.org.
16. Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC. Homeostasis model assessment: insulin resistance and β-cell function from fasting plasma glucose and insulin concentrations in men. Diabetologia 1985; 28: 412-419.
17. Taylor HL, Jacobs DR Jr, Schucker B, Knudsen J, Leon AS, Debacker G. Questionnaire for the assessment of leisure time physical activities. J Chronic Dis 1978; 31: 741-755.
18. Ridker PM, Buring JE, Cook NR, Rifai N. C-reactive protein, the metabolic syndrome, and risk of incident cardiovascular events. Circulation 2003; 107: 391-397.
19. Brazilay JI, Abraham L, Heckbert SR, et al. The relation of markers of inflammation to the development of glucose disorders in the elderly. Diabetes 2001; 50: 2384-2389.
20. Yudkin JS, Stehouwer CDA, Emeis JJ, Coppack SW. C-reactive protein in healthy subjects: associations with obesity, insulin resistance, and endothelial dysfunction. A potential role for cytokines originating from adipose tissue? Arterioscler Thromb Vasc Biol 1999; 19: 972-978.
21. Yet ETH, Willerson JT. Coming of age of C-reactive protein: using inflammation markers in cardiology. Circulation 2003; 107: 370-372.
22. Dandona P, Aljada A, Chandhuri A, Mohanty P, Garg R. Metabolic syndrome. A comprehensive perspective based on interactions between obesity, diabetes and inflammation. Circulation 2005; 111: 1448-1454.
23. Xu H, Barnes GT, Yang Q, et al. Chronic inflammation in fat plays a crucial role in the development of obesity-related insulin resistance. J Clin Invest 2003; 112: 1821-1830.
24. Thorand B, Baumert J, Kolb H, et al. Sex differences in the prediction of type 2 diabetes by inflammatory markers. Results from the MONICA/KORA Augsburg case-cohort study, 1984-2002. Diabetes Care 2007; 30: 854-860.
25. Müller S, Martin S, Koenig W, et al. Impaired glucose tolerance is associated with increased serum concentrations of interleukin-6 and co-regulated acute-phase proteins but not TNF-alpha or its receptors. Diabetologia 2002; 45: 805-812.
26. Herder C, Peltonen M, Koenig W, et al. Systemic immune mediators and lifestyle changes in the prevention of type 2 diabetes. Diabetes 2006; 55: 2340-2346.
27. Ridker PM, Cook NR. Clinical utility of very high and very low levels of C-reactive protein across the full range of Framingham risk scores. Circulation 2004; 109: 1955-1959.
28. Festa A, D'Agostino R, Howard G, Mykkänen L, Tracy RP, Haffner SM. Chronic subclinical inflammation as part of the insulin resistance syndrome. Circulation 2000; 102: 42-47.
29. Gami AS, Witt BJ, Howard DE, 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.
30. Timpson NJ, Lawlor DA, Harbord RM, et al. C-reactive protein and its role in metabolic syndrome: mendelian randomisation study. Lancet 2005; 366: 1954-1959.
31. Bonora E, Targher G, Alberiche M, et al. Homeostasis model assessment closely mirrors the glucose clamp technique in the assessment of insulin sensitivity. Studies in subjects with various degrees of glucose tolerance and insulin sensitivity. Diabetes Care 2000; 23: 57-63.