Impact of Clinical Characteristics of Individual Metabolic Syndrome on the Severity of Insulin Resistance in Chinese Adults.
10.3346/jkms.2007.22.1.74
- Author:
Chang Hsun HSIEH
1
;
Yi Jen HUNG
;
Du An WU
;
Shi Wen KUO
;
Chien Hsing LEE
;
Wayne Huey Herng SHEU
;
Jer Chuan LI
;
Kuan Hung YEH
;
Cheng Yu CHEN
;
Dee PEI
Author Information
1. Division of Endocrinology and Metabolism, Department of Internal Medicine, Tri-Service General Hospital, Taipei, Taiwan, R.O.C.
- Publication Type:Original Article
- Keywords:
Adiposity;
Factor Analysis, Statistical;
Triglycerides;
Metabolic Syndrome X;
Insulin Resistance;
Insulin Suppression Test
- MeSH:
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
- From:Journal of Korean Medical Science
2007;22(1):74-80
- CountryRepublic of Korea
- Language:English
-
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.
