Table 2.

Multivariate logistic model for the future risk of type 2 diabetes as the dependent variable and FPG, age, sex, BMI, ethnicity, family history for type 2 diabetes, blood pressure, and HDL cholesterol as the independent variables (model 1)

	SAHS		Botnia Study
	OR (95%CI)	P	OR (95% CI)	P
Model 1
Age	1.03 (1.004–1.05)	0.01	1.04 (1.02–1.06)	0.001
BMI	1.1 (1.06–1.14)	<0.0001	1.1 (1.04–1.18)	0.002
Ethnicity	0.53 (0.3–0.93	0.02	NA
Systolic blood pressure	1.01 (0.997–1.03)	NS	1.02 (1.002–1.03)	0.02
FPG	1.06 (1.04–1.08)	<0.0001	1.05 (1.02–1.08)	<0.0001
Model 2
1-h plasma glucose	1.03 (1.02–1.04)	<0.0001	1.02 (1.01–1.03)	<0.0001
Age	1.02 (0.99–1.04)	NS	1.04 (1.01–1.06)	0.004
BMI	1.08 (1.04–1.13)	<0.0001	1.07 (1.006–1.14)	0.03
Ethnicity	0.46 (0.256–0.83)	<0.01	NA
Systolic blood pressure	1.0 (0.98–1.02)	NS	1.01 (0.99–1.03)	NS
FPG	1.02 (0.99–1.05)	NS	1.02 (0.99–1.06)	NS
Model 3
2-h plasma glucose	1.02 (1.004–1.03)	0.007	1.04 (0.8–1.35)	NS
Age	1.02 (1.001–1.05)	0.04	1.04 (1.015–1.06)	0.001
BMI	1.09 (1.05–1.13)	<0.0001	1.09 (1.02–1.16)	0.01
Ethnicity	0.58 (0.316–0.985)	0.04	NA
Systolic blood pressure	1.0 (0.98–1.02)	NS	1.02 (1.01–1.03)	0.02
FPG	1.05 (1.03–1.08)	<0.0001	1.05 (1.02–1.08)	0.001

Data are ORs (95% CI) for the variables that were significant predictors of type 2 diabetes risk. In model 2, the 1-h plasma glucose concentration during the OGTT was added to model 1, and in model 3, the 2-h plasma glucose concentration during the OGTT was added to the model.