01 February 2012
Sex-specific association of anthropometric measures of body composition with arterial stiffness in a healthy population
Danijela BudimirABCDEF, Ana JeroncicACDE, Grgo GunjacaBF, Igor RudanEG, Ozren PolasekCDE, Mladen BobanADEGDOI: 10.12659/MSM.882457
Med Sci Monit 2012; 18(2): CR65-71
Abstract
Background: Anthropometric measures of body composition and arterial stiffness are commonly used as indicators of cardiovascular risk. Little is known, however, about the association of the anthropometric measures with arterial stiffness, especially in a healthy, generally non-obese population.
Material/Methods: In a sample of 352 healthy subjects (200 premenopausal women), 3 arterial stiffness indices were analyzed (pulse wave velocity, augmentation index and central systolic blood pressure) in relation to 5 anthropometric measures of body composition (body mass index – BMI, body fat percentage by skinfold measurements –%BF, waist circumference – WC, waist-hip ratio – WHpR, and waist-height ratio – WHtR). Data were analyzed using correlation and regression analyses, with adjustment for the following confounders: age, blood pressures, height, heart rate, blood lipids and smoking.
Results: Most correlations between anthropometric measures and arterial stiffness indices were significant and positive in both sex groups (r=0.14–0.40, P<0.05). After adjustment for confounding effects, BMI, WC and WHtR remained significant (but inverse) predictors of arterial stiffness (β from –0.06 to –0.16; P<0.05) in the females, while in the males BMI was the only measure inversely predicting arterial stiffness (β from –0.09 to –0.13; P<0.05).
Conclusions: Measures of body composition are weak and inverse predictors of arterial stiffness and their influence is sex-dependent. BMI, WC and WHtR were key predictors of arterial stiffness in the females, while BMI was the principal predictor in the males. The associations of anthropometric measures with arterial stiffness are strongly and differently confounded by various factors that have to be taken into account when explaining results of similar studies.
Keywords: Sex Factors, Reference Values, Body Composition, Anthropometry, Vascular Stiffness
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