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  • Title: The relationships between insulin resistance and components of metabolic syndrome in Taiwanese Asians.
    Author: Pei D, Kuo SW, Wu DA, Lin TY, Hseih MC, Lee CH, Hsu WL, Chen SP, Sheu WH, Li JC.
    Journal: Int J Clin Pract; 2005 Dec; 59(12):1408-16. PubMed ID: 16351672.
    Abstract:
    Metabolic syndrome (MetS) is a complicated clinicopathological entity with clustering of cardiovascular and metabolic risk factors, which includes central obesity, hypertension, dyslipidemia and glucose intolerance. There were many studies investigating a wide variety of clinical and pathophysiological aspects of this syndrome. However, the cutoffs of the components of MetS are not yet being evaluated by measured the insulin resistance (IR) directly. In this study, we enrolled 564 (male/female: 250/314) middle-aged healthy subjects. Each of the male and the female group was further divided into four subgroups (group 1 to group 4). Group 4 had the top 25 percentile of most severe IR determined by insulin suppression test. We then obtain the mean values of each component of the MetS in group 4 and compared them with the definitions of World Health Organization, National Cholesterol Education Program Adult Treatment Panel III, European Study Group of Insulin Resistance and International Diabetes Federation. The means of the blood pressure (BP) (male, 125/81; female, 125/80 mmHg) and the triglyceride (TG) (male, 1.6; female, 1.4 mmol/l) in group 4 were lower, and the fasting plasma glucose (6.2 mmol/l) was higher than the cutoffs of the other four sets of the criteria. The means of the high-density lipoprotein cholesterol (male, 0.9; female, 1.03 mmol/l) and the body mass index (male, 26.9; female 26.1 kg/m(2)) in group 4 were consistent with the cutoffs of other four groups and also the Taiwan Health Department criteria. In conclusion, we suggest to lower the cutoffs of the BP from 140/90 to 125/80 mmHg, TG from 1.7 to 1.6 mmol/l for males and 1.4 mmol/l for females for MetS definition, at least in Taiwan. This may help to early detect subjects under high risk of future coronary heart disease and diabetes. Still, these newly proposed cutoffs need larger-scale epidemiological studies to confirm.
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