J Korean Med Sci.  2008 Jun;23(3):465-469. 10.3346/jkms.2008.23.3.465.

Identifying Subjects with Insulin Resistance by Using the Modified Criteria of Metabolic Syndrome

• Hsieh CH
• Pei D
• Hung YJ
• Kuo SW
• He CT
• Lee CH
• Wu CZ

• KMID: 1786886
• DOI: http://doi.org/10.3346/jkms.2008.23.3.465

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.

Keyword

Insulin Resistance; Metabolic Syndrome; Obesity; Triglycerides

MeSH Terms

Adult
Aged
*Biological Markers
Blood Glucose/metabolism
Blood Pressure
Body Mass Index
Cholesterol, HDL/blood
Female
Humans
*Insulin Resistance
Male
Metabolic Syndrome X/*diagnosis/*epidemiology
Middle Aged
Obesity, Morbid/diagnosis/epidemiology
Predictive Value of Tests
Prevalence
Risk Factors
Sensitivity and Specificity
Triglycerides/blood

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