Table 3.

Logistic regression models for association between DPN and long-term glycemic control

Logistic regression model	T1D		T2D
	OR (95% CI)	P	OR (95% CI)	P
Model 1: HbA1c AUC	1.48 (1.24; 1.77)	<0.0001	1.13 (0.83; 1.52)	0.44
Model 2: model 1 + age and sex	1.44 (1.21; 1.71)	<0.0001	1.12 (0.83; 1.53)	0.45
Model 2a: model 1 + age, sex, and height z scores	1.50 (1.25; 1.79)	<0.0001	1.13 (0.83; 1.54)	0.44
Model 3: model 1 + BMI	1.49 (1.25; 1.78)	<0.0001	1.12 (0.82; 1.53)	0.48
Model 4: model 1 + SBP and DBP	1.45 (1.21; 1.73)	<0.0001	1.15 (0.84; 1.57)	0.37
Model 5: model 1 + TG	1.5 (1.24; 1.81)	<0.0001	1.1 (0.8; 1.5)	0.56
Model 6: model 1 + ACR	1.55 (1.28; 1.89)	<0.0001	1.07 (0.74; 1.54)	0.73
Model 7: model 1 + age, sex, BMI, SBP, DBP, TG, and ACR	1.53 (1.24; 1.88)	<0.0001	1.05 (0.7; 1.56)	0.82

Outcome variable: DPN. Independent variable: HbA_1c AUC. TG, triglycerides.