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Table 2—

Predictive value of A1C for diabetes at 6 years, according to successive multiple logistic regression models*

Variables included in modelβ Coefficient of
P value of
−2 log likelihood
A1CA1C2A1CA1C2
Age + sex     768.81 
Age + sex + A1C     674.70 
Age + sex + A1C + A1C2 −13.10 1.39 0.0001 <0.0001 660.69 
Age + sex + A1C + A1C2 + waist circumference −13.09 1.35 <0.0001 <0.0001 604.72 
Age + sex + A1C + A1C2 + waist circumference + triglycerides (log) −13.10 1.35 <0.0001 <0.0001 589.30 
Age + sex + A1C + A1C2 + waist circumference + triglycerides (log) + familial history of diabetes −12.84 1.33 <0.0001 <0.0001 582.99 
Variables included in modelβ Coefficient of
P value of
−2 log likelihood
A1CA1C2A1CA1C2
Age + sex     768.81 
Age + sex + A1C     674.70 
Age + sex + A1C + A1C2 −13.10 1.39 0.0001 <0.0001 660.69 
Age + sex + A1C + A1C2 + waist circumference −13.09 1.35 <0.0001 <0.0001 604.72 
Age + sex + A1C + A1C2 + waist circumference + triglycerides (log) −13.10 1.35 <0.0001 <0.0001 589.30 
Age + sex + A1C + A1C2 + waist circumference + triglycerides (log) + familial history of diabetes −12.84 1.33 <0.0001 <0.0001 582.99 

Data are β coefficients (= ln OR) of A1C and A1C2; n = 2,820.

*

Variables were added successively.

Likelihood ratio test between this model and the preceding nested model was significant at P < 0.05.

Likelihood ratio test between this model and a model with an interaction term between A1C and sex was not significant. The interaction between A1C and sex was tested only in this final model.

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