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. 2014 Jan 16;27(6):801–810. doi: 10.1093/ajh/hpt276

Table 3.

Linear regression models

Renin
White Chinese Black Hispanic
Model 1 0.02 (−0.16 to 0.20) −0.26 (−0.44 to −0.08) 0.21 (0.06 to 0.35)
Model 2 0.05 (−0.14 to 0.25) −0.17 (−0.36 to 0.02) 0.24 (0.08 to 0.39)
Model 3 0.06 (−0.14 to 0.26) −0.16 (−0.35 to 0.04) 0.25 (0.09 to 0.41)
Model 4 0.06 (−0.13 to 0.24) −0.09 (−0.27 to 0.10) 0.23 (0.08 to 0.38)
Aldosterone
White Chinese Black Hispanic
Model 1 −0.08 (−0.27 to 0.10) −0.35 (−0.53 to −0.17) 0.0008 (−0.15 to 0.15)
Model 2 −0.03 (−0.23 to 0.17) −0.3 (−0.49 to −0.10) 0.02 (−0.14 to 0.18)
Model 3 0.03 (−0.17 to 0.23) −0.22 (−0.42 to −0.03) 0.05 (−0.11 to 0.21)
Model 4 0.006 (−0.18 to 0.20) −0.17 (−0.36 to 0.02) −0.03 (−0.18 to 0.12)

Model 1 includes age and sex. Model 2 includes model 1 plus systolic and diastolic blood pressure, dyslipidemia, smoking, alcohol, diabetes, family history of coronary heart disease, body mass index, waist-to-hip ratio, and estrogen therapy. Model 3 includes model 2 plus estimated glomerular filtration rate. Model 4 includes model 3 plus renin or aldosterone (mutually adjusted model).