Development and validation of a risk assessment model for prediabetes in China national diabetes survey

Table 2 Multivariable logistic regression for prediabetes in China National Diabetes and Metabolic Disorders Study¹

Variable	β coefficients	P value	OR (95%CI)
Intercept	-6.1358	< 0.0001	-
Age, yr	0.0274	< 0.0001	1.028 (1.025-1.030)
Middle school or higher education	-0.2032	< 0.0001	0.816 (0.766-0.870)
DM family history	0.3108	< 0.0001	1.364 (1.261-1.477)
Waist circumference ≥ normal upper limit	0.1959	< 0.0001	1.216 (1.134-1.305)
BMI	0.0761	< 0.0001	1.079 (1.069-1.089)
SBP	0.0117	< 0.0001	1.012 (1.010-1.013)

¹The initial set of risk factors for variable selection in logistic regression model: Age, gender, middle school or higher education, DM family history, waist circumference above normal upper limit, BMI, SBP, DBP. DM: Diabetes mellitus; BMI: Body mass index; SBP: Systolic blood pressure; DBP: Diastolic blood pressure.