title: Factor analysis of metabolic syndrome using direct measurement of insulin resistance in Chinese with different degrees of glucose tolerance.
abstract: OBJECTIVE
  With the increasing prevalence of type 2 diabetes and cardiovascular disease in Taiwan, the understanding of metabolic syndrome (MetS) becomes more important. The purpose of this study was to investigate the clustering patterns of the risk variables of the MetS with factor analysis (FacAn).
  
  
  METHODS
  A total of 564 Chinese individuals with normal glucose tolerance (N, n=345), impaired glucose tolerance (IGT, n=164) or diabetes mellitus (DM, n=55) were enrolled. Insulin resistance was measured by insulin suppression test (IST). The components of MetS such as waist hip ratio (WHR), fasting plasma glucose (FPG), systolic blood pressure (SBP), diastolic blood pressure (DBP), triglyceride (TG), high density lipoprotein cholesterol (HDLC) and steady state plasma glucose (SSPG) from IST were put into the model of exploratory FacAn.
  
  
  RESULTS
  In spite of the minor different loading patterns, three dimensions were identified in the three subgroups; a "blood pressure" dimension, loading with mainly SBP and DBP, an "insulin resistance" dimension, loading mainly with SSPG, and an "adiposity/glucose" dimension loading with TG, WHR or FPG.
  
  
  CONCLUSIONS
  Our results were consistent with different ethnic groups in earlier reports that more than two dimensions were identified and that the MetS is not unified by a single underlying aetiology, i.e., insulin resistance. Longitudinal analysis in this and other populations will be required to validate our findings and to test their generalisability.
authors.affiliation: Department of Internal Medicine, Buddhist Tzu Chi General Hospital, Taipei Brach, Taiwan, ROC.
authors.forename: Chung-Ze
authors.initials: CZ
authors.lastname: Wu
authors.forename: Jiunn-Diann
authors.initials: JD
authors.lastname: Lin
authors.forename: Jer-Chuan
authors.initials: JC
authors.lastname: Li
authors.forename: Fone-Ching
authors.initials: FC
authors.lastname: Hsiao
authors.forename: Chang-Hsun
authors.initials: CH
authors.lastname: Hsieh
authors.forename: Shi-Wen
authors.initials: SW
authors.lastname: Kuo
authors.forename: Yi-Jen
authors.initials: YJ
authors.lastname: Hung
authors.forename: Chieh-Hua
authors.initials: CH
authors.lastname: Lu
authors.forename: Chih-Tsueng
authors.initials: CT
authors.lastname: He
authors.forename: Dee
authors.initials: D
authors.lastname: Pei
mesh_terms: D000328:Adult; D044466:Asian People; D001786:Blood Glucose / Q000378:metabolism; D001794:Blood Pressure; D008076:Cholesterol, HDL / Q000097:blood; D018149:Glucose Intolerance / Q000175:diagnosis* / Q000208:ethnology* / Q000378:metabolism; D006801:Humans; D007333:Insulin Resistance; D024821:Metabolic Syndrome / Q000175:diagnosis* / Q000208:ethnology* / Q000378:metabolism; D008875:Middle Aged; D015995:Prevalence; D012307:Risk Factors; D013624:Taiwan / Q000453:epidemiology; D014280:Triglycerides / Q000097:blood; D049629:Waist-Hip Ratio
chemical_list: D001786:Blood Glucose; D008076:Cholesterol, HDL; D014280:Triglycerides