Table 3. Design-based multivariate regression modela

Lnln UAE as Dependent VariableR2 = 0.2169n = 7841
Beta CoefficientStandard ErrorT ValueP ValueP Value Wald Statisticb
a Reference group of gender is male gender, of smoking is nonsmokers, of antidiabetic medication is non-users. UAE, urinary albumin excretion; SBP, systolic BP; DBP, diastolic BP.
b Composite variables tested by adjusted Wald test.
Gender−0.9390.342−2.740.006
Age−0.0330.008−4.08<0.001
Age24.00 × 10−48.19 × 10−54.90<0.001
SBP−0.0020.003−0.790.427
SBP22.01 × 10−59.75 × 10−62.060.039
DBP−0.0170.005−3.180.002
DBP21.27 × 10−43.63 × 10−53.51<0.001
Creatinine clearance0.0070.0016.75<0.001
Creatinine clearance2−1.79 × 10−54.45 × 10−6−4.03<0.001
BMI−0.0770.031−2.460.014
BMI20.0025.77 × 10−42.840.004
Ln glucose−1.610.465−3.450.001
Ln glucose20.5270.1353.90<0.001
Antidiabetic medication0.1040.0372.770.006
Smoking0.0300.0083.91<0.001
Gender × age0.0170.0053.250.001
Gender × age2−1.86 × 10−45.13 × 10−5−3.64<0.001<0.001
Gender × BMI0.0220.0181.190.233
Gender × BMI2−5.68 × 10−43.30 × 10−4−1.720.085<0.001
Gender × ln glucose0.5880.2932.010.045
Gender × ln glucose2−0.1970.086−2.300.0220.021
Intercept3.3430.6035.54<0.001