Brachial-ankle pulse wave velocity as a risk factor for high body fat mediated by blood pressure

Background Brachial-ankle pulse wave velocity (baPWV) is an important clinical indicator of aortic stiffness and a risk predictor of cardiovascular disease and associated with obesity. However, whether body mass index (BMI) is associated with baPWV remains controversial. In our study, body fat-related indicators, including BMI, body fat rate (BFR), body fat volume (BFV), waist circumference (WC) were examined from healthy volunteers. We investigated the correlation of baPWV with these indicators and also assessed whether baPWV has the potential to predict these indicators. Methods A total of 429 healthy participants were enrolled in this study. Body fat indices, blood pressures, baPWV and blood metabolic indices were measured and recorded. The association of baPWV and indices reflecting body fat and blood pressure, as well as mediation effect were analyzed. Results Three different types of baPWV values were significantly correlated. Mean level of baPWV was an independent risk factor for WC, BMI, BFR, and BFV (exp(beta) = 1.011, 1.004, 1.010 and 1.009, respectively, P < .001 for all) but not BMR. As for mediation effects, baPWV positively influenced WC (Total effect = 0.011, P < .001), BMI (Total effect = 0.004, P < .001) and BFV (Total effect = 0.009, P < .001) in indirect way mediated by SBP and DBP, while baPWV influenced BFR in both direct (Effect = 0.004, P = .018) and indirect way. Conclusions Levels of baPWV correlated with obesity and is an independent risk factor for WC, BMI, BFR and BFV. Besides, baPWV positively associated with WC, BMI and BFV mainly in indirect way mediated by SBP and DBP, and baPWV associated with BFR in both direct and indirect way.

Automated summary

Brachial-ankle pulse wave velocity (baPWV) is a clinical indicator of aortic stiffness and a risk predictor of cardiovascular disease. In this study, we examined the correlation of baPWV with body fat-related indicators and assessed whether baPWV can predict these indicators.