Table 5.

Multivariable logistic regression models assessing the relationship between liver enzymes and T2D.

ALT	Crude	Model 1	Model 2	Model 3
Q1 (≤14)	1	1	1	1
Q2 (14.1-19.8)	2.10 (1.68-2.61) [P < 0.001]	1.24 (0.98-1.57) [P = 0.074]	1.18 (0.94-1.50) [P = 0.161]	1.10 (0.87-1.40) [P = 0.434]
Q3 (19.9-30.1)	3.09 (2.51-3.82) [P < 0.001]	1.66 (1.32-2.08) [P < 0.001]	1.47 (1.17-1.86) [P = 0.001]	1.30 (1.02-1.64) [P = 0.033]
Q4 (≥30.2)	3.89 (3.17-4.78) [P < 0.001]	2.35 (1.87-2.97) [P < 0.001]	1.88 (1.44-2.46) [P < 0.001]	1.58 (1.21-2.08) [P = 0.001]
AST
Q1 (≤18.4)	1	1	1	1
Q2 (18.5-21.7)	1.06 (0.88-1.27) [P = 0.052]	0.66 (0.54-0.80) [P < 0.001]	0.59 (0.48-0.72) [P < 0.001]	0.57 (0.46-0.69) [P < 0.001]
Q3 (21.8-26.6)	1.17 (0.97-1.40) [P = 0.097]	0.59 (0.48-0.71) [P < 0.001]	0.45 (0.37-0.56) [P < 0.001]	0.44 (0.36-0.54) [P < 0.001]
Q4 (≥26.7)	1.76 (1.49-2.08) [P<0.001]	0.83 (0.69-1.00) [P = 0.050]	0.41 (0.32-0.51) [P < 0.001]	0.39 (0.31-0.49) [P < 0.001]
GGT
Q1 (≤16.5)	1	1	1	1
Q2 (16.6-24.0)	2.27 (1.75-2.95) [P < 0.001]	1.32 (1.00-1.73) [P = 0.052]	1.23 (0.93-1.61) [P = 0.150]	1.10 (0.84-1.46) [P = 0.486]
Q3 (24.1-39.2)	4.91 (3.86-6.24) [P < 0.001]	2.45 (1.89-3.17) [P < 0.001]	2.06 (1.59-2.68) [P < 0.001]	1.76 (1.35-2.30) [P < 0.001]
Q4 (≥39.3)	6.98 (5.52-8.82) [P < 0.001]	3.74 (2.88-4.86) [P < 0.001]	2.69 (2.04-3.54) [P < 0.001]	2.27 (1.71-3.01) [P < 0.001]

Model 1: adjusting for sex, age, BMI, hypertension, smoking, and drinking.

Model 2: adjusting for all factors in model 1 + TG +TC+ (AST+GGT for ALT analysis)/(ALT+GGT for AST analysis)/(ALT+AST for GGT analysis).

Model 3: adjusting for all factors in model 2 + NAFLD.