A Prediction Model for Prediabetes Risk in Middle-Aged and Elderly Populations: A Prospective Cohort Study in China

Table 2

Multivariable Cox proportional-hazards regression models for predicting prediabetes.

Variable	Model 1		Model 2		Model 3		Model 4
	HR (95% CI)	value	HR (95% CI)	value	HR (95% CI)	value	HR (95% CI)	value
WC	1.039 (1.018, 1.061)	<0.001	1.039 (1.018, 1.060)	<0.001	1.039 (1.018, 1.061)	<0.001	1.032 (1.010, 1.053)	0.003
FHD	—	—	1.924 (1.320, 2.805)	0.001	1.844 (1.262, 2.693)	0.002	1.824 (1.250, 2.661)	0.002
HbA1c	—	—	—	—	2.028 (1.382, 2.976)	<0.001	1.825 (1.227, 2.714)	0.003
FPG	—	—	—	—	—	—	2.284 (1.556, 3.352)	<0.001

Model 1: incorporating WC; model 2: variables in model 1 and FHD; model 3: variables in model 2 and HbA1c; model 4: variables in model 3 and FPG. CI, confidence intervals; FHD, family history of diabetes; FPG, fasting plasma glucose; HbA1c, hemoglobin A1c; HR, hazard ratios; WC, waist circumference.