title: Waist circumference correlates with metabolic syndrome indicators better than percentage fat.
abstract: OBJECTIVE
  Percent fat is often considered the reference for establishing the magnitude of adipose tissue accumulation and the risk of excess adiposity. However, the increasing recognition of a strong link between central adiposity and metabolic disturbances led us to test whether waist circumference (WC) is more highly correlated with metabolic syndrome components than percent fat and other related anthropometric measures such as BMI.
  
  
  METHODS
  BMI, WC, and percent fat, measured by DXA, were evaluated in 1010 healthy white and African-American men and women [age, 48.3 +/- 17.2 (standard deviation) years; BMI, 27.0 +/- 5.3 kg/m(2)]. The associations of BMI, WC, and percent fat with age and laboratory-adjusted health risk indicators (i.e., serum glucose, insulin, triglycerides, high-density lipoprotein cholesterol, blood pressure) in each sex and ethnicity group were examined.
  
  
  RESULTS
  For 18 of 24 comparisons, the age- and laboratory-adjusted correlations were lowest for percent fat and in 16 of 24 comparisons were highest for WC. Fifteen of the between-method differences reached statistical significance. With health risk indicator as the dependent variable and anthropometric measures as the independent variable, the contribution of percent fat to the WC regression model was not statistically significant; in contrast, adding WC to the percent fat regression model did make a significant independent contribution for most health risk indicators.
  
  
  CONCLUSIONS
  WC had the strongest associations with health risk indicators, followed by BMI. Although percent fat is a useful measure of overall adiposity, health risks are best represented by the simply measured WC.
authors.affiliation: Obesity Research Center, St. Luke's-Roosevelt Hospital, New York, NY 10025, USA. WS2003@Columbia.edu
authors.forename: Wei
authors.initials: W
authors.lastname: Shen
authors.forename: Mark
authors.initials: M
authors.lastname: Punyanitya
authors.forename: Jun
authors.initials: J
authors.lastname: Chen
authors.forename: Dympna
authors.initials: D
authors.lastname: Gallagher
authors.forename: Jeanine
authors.initials: J
authors.lastname: Albu
authors.forename: Xavier
authors.initials: X
authors.lastname: Pi-Sunyer
authors.forename: Cora E
authors.initials: CE
authors.lastname: Lewis
authors.forename: Carl
authors.initials: C
authors.lastname: Grunfeld
authors.forename: Stanley
authors.initials: S
authors.lastname: Heshka
authors.forename: Steven B
authors.initials: SB
authors.lastname: Heymsfield
mesh_terms: D050154:Adiposity / Q000502:physiology*; D000328:Adult; D001741:Black or African American; D000368:Aged; D001786:Blood Glucose / Q000032:analysis; D001794:Blood Pressure; D001823:Body Composition; D050218:Body Fat Distribution; D015992:Body Mass Index; D005215:Fasting / Q000097:blood; D005260:Female; D006801:Humans; D007328:Insulin / Q000097:blood; D008055:Lipids / Q000097:blood; D008297:Male; D024821:Metabolic Syndrome / Q000175:diagnosis*; D008875:Middle Aged; D012044:Regression Analysis; D012307:Risk Factors; D013223:Statistics as Topic; D049629:Waist-Hip Ratio; D044465:White People
chemical_list: D001786:Blood Glucose; D007328:Insulin; D008055:Lipids