TABLE 3.

Results from multiple regression models examining variables potentially associated with systolic blood pressure

Variables	Model 1			Model 2			Model 3			Model 4
	$\beta$	(95% CI)	P value	$\beta$	(95% CI)	P value	$\beta$	(95% CI)	P value	$\beta$	(95% CI)	P value
	Systolic blood pressure (mmHg)
Race	0.77	(0.19, 1.37)	0.041	0.56	(−0.03, 1.15)	0.159	0.44	(−0.16, 1.03)	0.147	0.12	(−0.54, 0.77)	0.722
Sex	−0.24	(−0.53, 0.06)	0.298	−0.21	(−0.49, 0.07)	0.316	−0.15	(−0.43, 0.14)	0.299	−0.14	(−0.41, 0.14)	0.321
BMI (kg/m2)				0.32	(0.04, 0.60)	0.011	0.38	(0.09, 0.67)	0.011	0.39	(0.11, 0.67)	0.007
Urine Osm (mOsm/kgH2O)							−0.06	(−0.35, 0.23)	0.684	−0.09	(−0.37, 0.20)	0.547
Cumulative ADI										0.31	(0.01, 0.62)	0.041
Adjusted R2(%)	5.2			16.3			14.7			20.9
P value	0.11			0.012			0.026			0.009

Unadjusted multiple linear regressions with race and sex (model 1) indicated race was associated with systolic blood pressure. The addition of BMI (model 2); urine flow rate; specific gravity; and osmolality (model 3); and cumulative ADI (model 4) revealed that race was not independently associated with systolic blood pressure. However; BMI and cumulative ADI were associated with systolic blood pressure. We are reporting standardized estimates and 95% confidence intervals and adjusted R². Bolded text indicates a significant association.

For the final regression n = 53

Abbreviations: ADI, Area Deprivation Index; Osm, osmolality.