Table 4.

Multivariate Linear Regression Model for LVMI (Log‐Transformed) as the Dependent Variable^a

	Men				Women
Variable	Coefficient	Lower CI	Upper CI	P Value	Coefficient	Lower CI	Upper CI	P Value
BMI (log‐transformed)	0.304	0.134	0.475	.001	0.164	0.026	0.301	.020
Age (per 10 y)	0.017	−0.003	0.036	.101	0.033	0.016	0.050	<.001
Ethnicity
White	ref				ref
Black	0.145	0.025	0.265	.018	0.070	−0.020	0.160	.126
South Asian	−0.107	−0.191	−0.023	.013	−0.064	−0.143	0.016	.116
Other	0.145	−0.093	0.383	.231	−0.005	−0.200	0.190	.960
Not known	0.020	−0.098	0.138	.740	0.066	−0.024	0.157	.152
Day SBP (per 5‐mm HG rise)	0.031	0.023	0.039	<.001	0.024	0.017	0.032	<.001
Nocturnal dip (per % increase)	−0.007	−0.010	−0.003	<.001	−0.002	−0.005	0.001	.107
eGFR (per 5‐mL/min increase)	−0.009	−0.017	−0.001	.021	−0.007	−0.014	0.000	.038

Abbreviations: BMI, body mass index; BP, blood pressure; CI, confidence interval; eGFR, estimated glomerular filtration rate; LVMI, left ventricular mass index; SBP, systolic blood pressure. ^aRegression analysis performed separately for men and women because of different reference ranges.