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Table 2—

Racial and ethnic differences in A1C in a multiple-regression model adjusting for the effects of other covariates on A1C

ParameterEstimateSEPType II semipartial R2
Race (vs. white)     
    Black 0.404 0.0205 <0.0001 0.0811 
    Hispanic 0.149 0.0220 <0.0001 0.00959 
    American Indian 0.206 0.0374 <0.0001 0.00630 
    Asian 0.343 0.0376 <0.0001 0.0173 
Age at randomization 0.0105 0.000833 <0.0001 0.0328 
Sex (female vs. male) 0.0786 0.0224 0.0005 0.00256 
Systolic blood pressure −0.00146 0.000700 0.0371 0.00091 
Diastolic blood pressure 0.00357 0.00105 0.0007 0.00239 
BMI 0.00527 0.00234 0.0240 0.00106 
Fasting glucose 0.259 0.0205 <0.0001 0.0335 
Glucose AUC 0.0245 0.0112 0.0286 0.00010 
CIR −0.0641 0.0231 0.0055 0.00160 
Insulin resistance (HOMA-IR) 0.00543 0.00242 0.0251 0.00104 
ParameterEstimateSEPType II semipartial R2
Race (vs. white)     
    Black 0.404 0.0205 <0.0001 0.0811 
    Hispanic 0.149 0.0220 <0.0001 0.00959 
    American Indian 0.206 0.0374 <0.0001 0.00630 
    Asian 0.343 0.0376 <0.0001 0.0173 
Age at randomization 0.0105 0.000833 <0.0001 0.0328 
Sex (female vs. male) 0.0786 0.0224 0.0005 0.00256 
Systolic blood pressure −0.00146 0.000700 0.0371 0.00091 
Diastolic blood pressure 0.00357 0.00105 0.0007 0.00239 
BMI 0.00527 0.00234 0.0240 0.00106 
Fasting glucose 0.259 0.0205 <0.0001 0.0335 
Glucose AUC 0.0245 0.0112 0.0286 0.00010 
CIR −0.0641 0.0231 0.0055 0.00160 
Insulin resistance (HOMA-IR) 0.00543 0.00242 0.0251 0.00104 

Data are also adjusted for education, marital status, waist circumference, and hematocrit; all not significant at 0.05 level.

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