J Korean Med Sci.  2007 Feb;22(1):74-80. 10.3346/jkms.2007.22.1.74.

Impact of Clinical Characteristics of Individual Metabolic Syndrome on the Severity of Insulin Resistance in Chinese Adults

• Hsieh CH
• Hung YJ
• Wu DA
• Kuo SW
• Lee CH
• Sheu WH
• Li JC
• Yeh KH
• Chen CY
• Pei D

• KMID: 1713233
• DOI: http://doi.org/10.3346/jkms.2007.22.1.74

Abstract

The impact the metabolic syndrome (MetS) components on the severity of insulin resistance (IR) has not been reported. We enrolled 564 subjects with MetS and they were divided into quartiles according to the level of each component; and an insulin suppression test was performed to measure IR. In males, steady state plasma glucose (SSPG) levels in the highest quartiles, corresponding to body mass index (BMI) and fasting plasma glucose (FPG), were higher than the other three quartiles and the highest quartiles, corresponding to the diastolic blood pressure and triglycerides, were higher than in the lowest two quartiles. In females, SSPG levels in the highest quartiles, corresponding to the BMI and triglycerides, were higher than in all other quartiles. No significant differences existed between genders, other than the mean SSPG levels in males were greater in the highest quartile corresponding to BMI than that in the highest quartile corresponding to HDL-cholesterol levels. The factor analysis identified two underlying factors (IR and blood pressure factors) among the MetS variables. The clustering of the SSPG, BMI, triglyceride and HDLcholesterol was noted. Our data suggest that adiposity, higher FPG and triglyceride levels have stronger correlation with IR and subjects with the highest BMI have the highest IR.

Keyword

Adiposity; Factor Analysis, Statistical; Triglycerides; Metabolic Syndrome X; Insulin Resistance; Insulin Suppression Test

MeSH Terms

Waist-Hip Ratio
Triglycerides/blood
Middle Aged
Metabolic Syndrome X/*metabolism
Male
*Insulin Resistance
Humans
Female
Fasting/blood
Cholesterol, HDL/blood
Body Mass Index
Blood Glucose/analysis
Aged
Adult

Figure

• 

  Fig. 1 The insulin resistance of different quartiles in each metabolic syndrome component among male subjects. Data are means±SEM. BMI, body mass index; SBP, systolic blood pressure; DBP, diastolic blood pressure; FPG, fasting plasma glucose; TG, triglycerides; HDL-C, high density lipoprotein cholesterol; SSPG, steady-state plasma glucose. *p<0.05 after adjusted for age.

• 

  Fig. 2 The insulin resistance of different quartiles in each metabolic syndrome component among female subject. Data are means±SEM. BMI, body mass index; SBP, systolic blood pressure; DBP, diastolic blood pressure; FPG, fasting plasma glucose; TG, triglycerides; HDL-C, high density lipoprotein cholesterol; SSPG, steady-state plasma glucose. *p<0.05 after adjusted for age.

• 

  Fig. 3 The comparison of steady state plasma glucose of group 1 of each metabolic syndrome components in both genders. The steady state plasma glucose are from group 1 in different metabolic syndrome components. Data are means±SEM. BMI, body mass index; SBP, systolic blood pressure; DBP, diastolic blood pressure; FPG, fasting plasma glucose; TG, triglycerides; HDL-C, high density lipoprotein cholesterol; SSPG, steady-state plasma glucose. Male (panel A) and female (panel B). *p<0.05 after adjusted for age.

• 

  Fig. 4 A diagrammatic representation of factor analysis performed in study subjects. FPG, fasting plasma glucose; SSPG, steady state plasma glucose; TG, triglycerides; HDLC, high density lipoprotein cholesterol; BMI, body mass index; SBP, systolic blood pressure; DBP, diastolic blood pressure. ↑, positive loading; ↓, negative loading. The numbers shown are the percentage of explained variance of either each factor or the sum of the factors.

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