Table 3.

Results of quantile regression analysis for predictors of baPWV.

Variable	Quantiles
	q = 0.1	q = 0.2	q = 0.3	q = 0.4	q = 0.5	q = 0.6	q = 0.7	q = 0.8	q = 0.9
Age	5.335 **	5.738 **	6.121 **	6.526 **	6.782 **	7.133 **	7.635 **	8.026 **	9.446 **
BMI	1.349	2.311 *	3.213 **	4.541 **	5.235 **	5.002 **	6.250 **	8.054 **	10.118 **
PBF	−5.628 **	−5.859 **	−5.934 **	−6.195 **	−6.488 **	−6.588 **	−6.743 **	−6.915 **	−8.616 **
WHR	401.715 **	487.365 **	518.156 **	524.758 **	549.055 **	572.075 **	611.960 **	674.735 **	734.596 **
SFA	0.140 **	0.082 *	0.038	0.020	0.042	0.062	0.039	−0.032	−0.013
VFA	0.311 **	0.376 **	0.460 **	0.528 **	0.608 **	0.745 **	0.769 **	0.867 **	1.112 **
Intercept	581.335 **	534.742 **	517.295 **	503.961 **	490.788 **	491.058 **	457.111 **	410.646 **	364.366 **

BMI: body mass index; PBF: percentage body fat; WHR: waist-to-hip ratio; SFA: subcutaneous fat area; VFA: visceral fat area; baPWV: brachial-ankle pulse wave velocity. * p < 0.05, ** p < 0.01.