Table 3.

Explaining variance of cf-PWV: multiple regression models for ¹⁰log [cf-PWV] per study groups.

Study groups	Standardised coefficients		P-value	Model R
	β	SE
All				0.67
Constant	0.541	0.036	<0.01
Age	5.638 × 10−3	0.951 × 10−3	<0.01
Metabolic syndrome (Y/N)	6.780 × 10−2	1.909 × 10−2	<0.01
Smoking (pack years)	1.077 × 10−3	0.752 × 10−3	0.015
Chemo (Y/N)	4.402 × 10−2	1.019 × 10−2	<0.01
TCS				0.72
Constant	0.492	0.043	<0.01
Age	6.508 × 10−3	0.761 × 10−3	<0.01
Metabolic syndrome (Y/N)	5.999 × 10−2	1.361 × 10−2	<0.01
Smoking (pack years)	0.973 × 10−3	0.502 × 10−3	0.055
Chemo (Y/N)	4.705 × 10−2	1.178 × 10−2	<0.01
CT				0.66
Constant	0.475	0.070	<0.01
Age	7.590 × 10−3	1.220 × 10−3	<0.01
Metabolic syndrome (Y/N)	6.079 × 10−2	2.006 × 10−2	<0.01
Smoking (pack years)	1.272 × 10−3	0.684 × 10−3	0.07
Orchiectomy only				0.78
Constant	0.559	0.053	<0.01
Age	5.353 × 10−3	0.951 × 10−3	<0.01
Metabolic syndrome (Y/N)	7.386 × 10−2	1.909 × 10−2	<0.01
Smoking (pack years)	0.233 × 10−3	0.752 × 10−3	0.76
Controls				0.55
Constant	0.627	0.069	<0.01
Age	4.035 × 10−3	1.230 × 10−3	<0.01
Metabolic syndrome (Y/N)	8.319 × 10−2	2.520 × 10−2	<0.01
Smoking (pack years)	1.657 × 10−3	0.875 × 10−3	0.06

Multiple regression models per study group with standardised coefficients (β) and standard errors (SE). Positive β corresponds to a positive correlation. Proportion of variation in cf-PWV explained by each model is shown as R (0.55–0.78). Models based on the logarithmic transformed cf-PWV. Note that receiving chemo is an independent predictor when the total study population was modelled as well as when only TCS were modelled. Furthermore, note the difference in coefficients β for age in the CT group and control group.