Table 4.

Regression models with fasting blood glucose as the dependent variable adjusted for different variables

Variables adjusted for	Variable*	Regression coefficient of variable in column 2 after adjusting for variables in column 1†	95% CI of regression coefficient	P-value
Age and sex	Family history	0.110	0.06–0.159	< 0.001
	Smoking	−0.067	−0.134 to 0.000	0.048
	BMI > 25 kg/m2	0.164	0.117–0.211	< 0.001
	High waist circumference	0.168	0.120–0.215	< 0.001
	Low physical activity	0.063	0.004–0.123	0.036
	High blood pressure	0.168	0.120–0.216	< 0.001
	Hypercholesterolaemia	0.112	0.066–0.158	< 0.001
Age, sex and family history of diabetes mellitus	Smoking	−0.062	−0.129 to 0.004	0.065
	BMI > 25 kg/m2	0.157	0.110–0.204	< 0.001
	High waist circumference	0.160	0.112–0.207	< 0.001
	Low physical activity	0.059	0.000–0.118	0.052
	High blood pressure	0.164	0.116–0.212	< 0.001
	Hypercholesterolaemia	0.106	0.061–0.152	< 0.001
Age, sex, family history and smoking	BMI > 25 kg/m2	0.155	0.108–0.202	< 0.001
	High waist circumference	0.159	0.111–0.206	< 0.001
	Low physical activity	0.058	0.000–0.117	0.053
	High blood pressure	0.162	0.114–0.210	< 0.001
	Hypercholesterolaemia	0.106	0.060–0.152	< 0.001

^*Each row of the table represents a separate regression model.

^†Regression coefficients adjusted only for the variables in column 1.