Table 3

Baseline predictors of AIx, Ln(AP), and SEVR in multivariate linear regression analysis after potential confounder adjustment

Base model
AIxLn(AP)SEVR
βSEMPr2βSEMPr2βSEMPr2
Concurrent age0.190.080.020.070.01<0.001−0.290.07<0.001
Concurrent heart rate−0.430.07<0.001−0.060.01<0.001−0.670.06<0.001
Female sex0.490.190.010.070.030.03−0.380.15<0.001
Concurrent height−0.320.090.001−0.040.020.01
PWD use−0.290.140.04−0.040.030.050.080.120.52
Base model (r2)0.410.370.60
Multivariate model
AIxLn(AP)SEVR
βSEMPΔr2βSEMPΔr2βSEMPΔr2
HDL cholesterol−0.240.070.0010.05−0.050.010.0010.05
E/I ratio−0.170.080.040.020.040.030.020.050.130.070.060.01
Ever-smoker0.250.140.070.010.020.050.020.04−0.410.11<0.0010.05
HbA10.020.030.010.02−0.130.060.020.02
Final model (P, r2)<0.0010.49<0.0010.53<0.0010.68
  • Variables are standardized to the population: (variable − mean)/SD. Base models with concurrent age, sex, height, heart rate, and PWD use (i.e., medications with potential effect on PWA measures, such as ACE inhibitor, ARB, calcium channel blocker, β-blocker, and/or nitrate use). Baseline variables available for forward regression: systolic blood pressure, diastolic blood pressure, non-HDL cholesterol, HDL cholesterol, white blood cell count, albumin excretion rate, serum creatinine, HbA1, BMI, waist-to-hip ratio, energy expenditure in sports at baseline, and E/I ratio.