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Anthropometrically‐predicted visceral adipose tissue and mortality among men and women in the third national health and nutrition examination survey (NHANES III)
Author(s) -
Brown Justin C.,
Harhay Michael O.,
Harhay Meera N.
Publication year - 2016
Publication title -
american journal of human biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.559
H-Index - 81
eISSN - 1520-6300
pISSN - 1042-0533
DOI - 10.1002/ajhb.22898
Subject(s) - medicine , waist , body mass index , national health and nutrition examination survey , national death index , population , cancer , myocardial infarction , cause of death , demography , disease , confidence interval , environmental health , hazard ratio , sociology
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 ( P trend < .001), cardiovascular‐specific ( P trend < .001), and cancer‐specific mortality ( P trend = .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.