. 2018 Dec 27;10(12):924–933. doi: 10.4254/wjh.v10.i12.924

Table 2.

Multiple linear regression analysis showing relationship of blood biochemical marker and anthropometry marker with LFC as the dependent variable

	Model 1			Model 2			Model 3
	R²	β(SE)	P	R²	β(SE)	P	R²	β(SE)	P
HbA1c	0.135	0.306	0.002	0.174	0.339	0.004	0.298	0.120	0.327
HbA1c		(1.273)	0.002	0.174	(1.283)	0.004		(1.379)	0.327
Tri		0.131	0.247		0.065	0.590		-0.029	0.590
Tri		(0.012)	0.247		(0.013)	0.590		(0.012)	0.590
BMI	0.295	0.463	< 0.001^a	0.299	0.459	< 0.001^a
BMI	0.295	(0.109)	< 0.001^a	0.299	(0.111)	< 0.001^a
WC		-0.026	0.824		-0.034	0.774
WC		(0.016)	0.824		(0.017)	0.774
W/H ratio		0.145	0.247		0.136	0.288
W/H ratio		(8.768)	0.247		(9.018)	0.288

Model 1 is unadjusted model. Model 2 is Model 1 adjusted for sex and age. Model 3 is Model 2 adjust for body mass index. Statistical significance:

P < 0.001. β: Standardized coefficient; SE: Estimated error; R²: Correction coefficient; LFC: Liver fat content; HbA1c: Glycosylated hemoglobin; Tri: Triglyceride; BMI: Body mass index; WC: Waist circumference; W/H ratio: Waist-to-hip ratio.