TABLE 6.

Linear regression models modeling the association of biomarkers with BP and BPV unweighted data.

	Adjusted for age, sex, race, education, income, and smoking status								Additionally adjusted for any comorbidity and any medication
	Model 1			Model 2					Model 3			Model 4
Biomarker	R2	BP	BP p	R2	BP	BP p	BPV	BPV p	R2	BP	BP p	R2	BP	BP p	BPV	BPV p
		Est			Est		Est			Est			Est		Est
Seated baseline
ln IL-6
Systolic	0.14	0.003	<.001	0.14	0.004	<.001	−0.035	0.104	0.15	0.003	<.001	0.16	0.003	<.001	−0.024	0.254
Diastolic	0.13	0.002	0.211	0.14	0.003	0.069	−0.095	<.001	0.15	0.002	0.205	0.16	0.003	0.084	−0.076	<.001
ln e-Selectin
Systolic	0.06	0.002	0.018	0.06	0.002	0.022	0.004	0.776	0.07	0.001	0.025	0.07	0.001	0.036	0.010	0.510
Diastolic	0.06	0.002	0.026	0.06	0.003	0.018	−0.020	0.215	0.07	0.002	0.028	0.07	0.002	0.024	−0.009	0.555
ln s-ICAM
Systolic	0.06	0.000	0.703	0.06	0.000	0.489	−0.023	0.059	0.06	0.000	0.751	0.06	0.000	0.542	−0.022	0.081
Diastolic	0.06	0.001	0.213	0.06	0.001	0.116	−0.032	0.014	0.06	0.001	0.211	0.06	0.001	0.120	−0.029	0.027
ln Epinephrine
Systolic	0.39	−0.002	0.386	0.40	−0.002	0.252	0.076	0.080	0.40	−0.002	0.356	0.40	−0.002	0.211	0.088	0.043
Diastolic	0.39	0.000	0.952	0.39	−0.001	0.862	0.085	0.066	0.40	−0.000	0.958	0.40	−0.001	0.724	0.106	0.023
ln Norepinephrine
Systolic	0.39	0.002	0.085	0.39	0.002	0.139	0.044	0.181	0.39	0.002	0.103	0.39	0.002	0.185	0.056	0.089
Diastolic	0.39	0.004	0.082	0.39	0.004	0.113	0.036	0.305	0.39	0.004	0.098	0.39	0.003	0.158	0.058	0.098
ln Cortisol
Systolic	0.15	0.001	0.617	0.15	0.000	0.923	0.062	0.014	0.16	0.001	0.523	0.17	0.000	0.764	0.050	0.045
Diastolic	0.15	−0.000	0.896	0.15	−0.001	0.607	0.075	0.005	0.16	−0.000	0.973	0.16	−0.001	0.750	0.054	0.043

The bold value means significant at < 0.05.