title: Evaluation of metabolic syndrome risk in Korean premenopausal women: not waist circumference but visceral fat.
abstract: BACKGROUND
  In clinical practice, using the patient's waist circumference (WC) to evaluate visceral obesity may underestimate disorders with a metabolic origin. This study examined whether or not the WC derived from the cut-off point of the visceral fat area (VFA) can reflect the features of metabolic syndrome (MetS) in premenopausal women.
  
  
  RESULTS
  Computed tomography-scanned VFA, MetS components and the concentrations of high-sensitivity C-reactive protein (CRP) and adiponectin were measured in a total of 349 premenopausal women. The VFA at the L1 and the L4 sites was a significant index (p<0.001) of incremental MetS risk. Receiver-operating characteristic curve analysis showed that 75 cm2 of VFA at L4 and 87.5 cm2 at L1 were the optimal thresholds for discrimination of MetS risk. Significant differences in all MetS components, as well as CRP (p<0.05) and adiponectin levels (p<0.005), were observed when subjects were subdivided by the L4 VFA cut-off point (<75/>or=75 cm2), whereas there was a significant difference only in the triglycerides level in the groups divided by WC (WC<88/>or=88 cm). Moreover, subjects with a lower WC-higher VFA showed a similar pattern in MetS components and lower adiponectin than those with a higher WC-higher VFA.
  
  
  CONCLUSIONS
  This study clarified that VFA rather than WC is a major determinant of MetS risk in premenopausal women.
authors.affiliation: National Research Laboratory of Clinical Nutrigenetics/Nutrigenomics, Yonsei University, Department of Food & Nutrition, Seoul, Korea.
authors.forename: Yae Jung
authors.initials: YJ
authors.lastname: Hyun
authors.forename: Oh Yoen
authors.initials: OY
authors.lastname: Kim
authors.forename: Yangsoo
authors.initials: Y
authors.lastname: Jang
authors.forename: Jong-Won
authors.initials: JW
authors.lastname: Ha
authors.forename: Jey Sook
authors.initials: JS
authors.lastname: Chae
authors.forename: Ji Young
authors.initials: JY
authors.lastname: Kim
authors.forename: Hyun Yang
authors.initials: HY
authors.lastname: Yeo
authors.forename: Jean Kyung
authors.initials: JK
authors.lastname: Paik
authors.forename: Jong Ho
authors.initials: JH
authors.lastname: Lee
mesh_terms: D052242:Adiponectin / Q000097:blood; D050154:Adiposity; D000328:Adult; D044466:Asian People; D015415:Biomarkers / Q000097:blood; D015992:Body Mass Index; D049628:Body Size; D002097:C-Reactive Protein / Q000378:metabolism; D005260:Female; D006801:Humans; D050152:Intra-Abdominal Fat / Q000000981:diagnostic imaging / Q000378:metabolism / Q000473:pathology*; D007723:Korea; D016014:Linear Models; D008055:Lipids / Q000097:blood; D024821:Metabolic Syndrome / Q000208:ethnology / Q000209:etiology* / Q000378:metabolism / Q000473:pathology; D008875:Middle Aged; D017697:Premenopause; D012372:ROC Curve; D018570:Risk Assessment; D012307:Risk Factors; D014057:Tomography, X-Ray Computed
chemical_list: C499918:ADIPOQ protein, human; D052242:Adiponectin; D015415:Biomarkers; D008055:Lipids; D002097:C-Reactive Protein