title: Anthropometrically-predicted visceral adipose tissue and mortality among men and women in the third national health and nutrition examination survey (NHANES III).
abstract: OBJECTIVE
  This study seeks to quantify the relationship between anthropometrically-predicted visceral adipose tissue (apVAT) and all-cause and cause-specific mortality among individuals of European descent in a population-based prospective cohort study of 10,624 participants.
  
  
  METHODS
  The apVAT with a validated regression equation that included age, body mass index, and waist and thigh circumferences were predicted.
  
  
  RESULTS
  During a median of 18.8 years, 3531 participants died with 1153 and 741 deaths attributable to cardiovascular disease and cancer, respectively. In multivariable-adjusted analyses that accounted for demographic, clinical, and behavioral characteristics, higher apVAT was associated with an increased risk of all-cause (Ptrend< .001), cardiovascular-specific (Ptrend< .001), and cancer-specific mortality (Ptrend= .007). Excluding participants with a history of cancer, myocardial infarction, heart failure, or diabetes at baseline did not substantively alter effect estimates. apVAT more accurately predicted all-cause, cardiovascular-specific, and cancer-specific mortality than body mass index (P < .001), waist circumference (P < .001), or the combination of body mass index and waist circumference (P < .001).
  
  
  CONCLUSIONS
  These data provide evidence that apVAT is associated with all-cause and cause-specific mortality in a large population-based sample of men and women of European descent. These results support the use of apVAT to risk-stratify individuals for premature mortality when imaging data are not available such as in routine clinical practice or in large clinical trials.
authors.affiliation: Division of Population Sciences, Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.|Center for Clinical Epidemiology & Biostatistics, University of Pennsylvania, Philadelphia, PA.
authors.forename: Justin C
authors.initials: JC
authors.lastname: Brown
authors.affiliation: Center for Clinical Epidemiology & Biostatistics, University of Pennsylvania, Philadelphia, PA.
authors.forename: Michael O
authors.initials: MO
authors.lastname: Harhay
authors.affiliation: Division of Nephrology, Department of Medicine, Drexel University College of Medicine, Philadelphia, PA.
authors.forename: Meera N
authors.initials: MN
authors.lastname: Harhay
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000886:Anthropometry; D005260:Female; D006801:Humans; D050152:Intra-Abdominal Fat / Q000378:metabolism*; D008297:Male; D008875:Middle Aged; D061213:Mortality, Premature; D009749:Nutrition Surveys; D011446:Prospective Studies; D012044:Regression Analysis; D014481:United States / Q000453:epidemiology; D055815:Young Adult
keywords: anthropometrics; body mass index; population-based; waist circumference