title: Identifying subjects with insulin resistance by using the modified criteria of metabolic syndrome.
abstract: The objectives of this cohort analysis were to explore the relationship between insulin resistance (IR) and the criteria for metabolic syndrome (MetS) and to evaluate the ability to detect IR in subjects fulfilling those criteria. We enrolled 511 healthy subjects (218 men and 283 women) and measured their blood pressure (BP), body mass index, high-density lipoprotein cholesterol (HDL-C), triglyceride (TG), and fasting plasma glucose levels. Insulin suppression testing was done to measure insulin sensitivity as the steady-state plasma glucose (SSPG) value. Subjects with an SSPG value within the top 25% were considered to have IR. The commonest abnormality was a low HDL-C level, followed by high BP. The sensitivity to detect IR in subjects with MetS was about 47%, with a positive predictive value of about 64.8%, which has higher in men than in women. In general, the addition of components to the criteria for MetS increased the predictive value for IR. The most common combination of components in subjects with MetS and IR were obesity, high BP, and low HDL-C levels. All of the components were positive except for HDL-C, which was negatively correlated with SSPG. The correlation was strongest for obesity, followed by high TG values. In subjects with MetS, sensitivity for IR was low. However, body mass index and TG values were associated with IR and may be important markers for IR in subjects with MetS.
authors.affiliation: Division of Endocrinology and Metabolism, Department of Internal Medicine, Tri-Service General Hospital, Taipei, Taiwan, R.O.C. changhsun@seed.net.tw
authors.forename: Chang-Hsun
authors.initials: CH
authors.lastname: Hsieh
authors.forename: Dee
authors.initials: D
authors.lastname: Pei
authors.forename: Yi-Jen
authors.initials: YJ
authors.lastname: Hung
authors.forename: Shi-Wen
authors.initials: SW
authors.lastname: Kuo
authors.forename: Chih-Tseung
authors.initials: CT
authors.lastname: He
authors.forename: Chien-Hsing
authors.initials: CH
authors.lastname: Lee
authors.forename: Chung-Ze
authors.initials: CZ
authors.lastname: Wu
mesh_terms: D000328:Adult; D000368:Aged; D015415:Biomarkers; D001786:Blood Glucose / Q000378:metabolism; D001794:Blood Pressure; D015992:Body Mass Index; D008076:Cholesterol, HDL / Q000097:blood; D005260:Female; D006801:Humans; D007333:Insulin Resistance; D008297:Male; D024821:Metabolic Syndrome / Q000175:diagnosis* / Q000453:epidemiology*; D008875:Middle Aged; D009767:Obesity, Morbid / Q000175:diagnosis / Q000453:epidemiology; D011237:Predictive Value of Tests; D015995:Prevalence; D012307:Risk Factors; D012680:Sensitivity and Specificity; D014280:Triglycerides / Q000097:blood
chemical_list: D015415:Biomarkers; D001786:Blood Glucose; D008076:Cholesterol, HDL; D014280:Triglycerides