Sex, Age, and BMI Modulate the Association of Physical Examinations and Blood Biochemistry Parameters and NAFLD: A Retrospective Study on 1994 Cases Observed at Shuguang Hospital, China

Table 4

Results of the logistic regression models for young (age<50, n=1173) and old (age≥50, n=821) groups.

	Coefficient		Standard error		z score		p-value
	< 50	≥ 50	< 50	≥ 50	< 50	≥ 50	< 50	≥ 50
(Intercept)	-15.9682	-15.3334	1.448125	1.603174	-11.03	-9.564	< 2e-16	< 2e-16
BMI	0.457926	0.384688	0.036495	0.03862	12.548	9.961	< 2e-16	< 2e-16
SBP	-0.0169	-0.00435	0.008363	0.006014	-2.021	-0.724	0.043331	0.46931
DBP	0.042735	0.01892	0.012281	0.011256	3.48	1.681	0.000502	0.09281
TG	0.564608	0.748372	0.106244	0.134605	5.314	5.56	1.07E-07	2.7E-08
LDL-C	0.288518	-0.05319	0.107188	0.115621	2.692	-0.46	0.007109	0.64548
HDL-C	-0.56439	0.032413	0.239389	0.297334	-2.358	0.109	0.018393	0.91319
SUA	0.001278	0.003663	0.001174	0.001254	1.089	2.921	0.27597	0.00349
eGFR	0.003757	0.016959	0.005241	0.005917	0.717	2.866	0.473422	0.00415
FPG	0.121241	0.222519	0.129608	0.104029	0.935	2.139	0.349559	0.03244
HbA1c	0.169614	-0.07565	0.170456	0.144627	0.995	-0.523	0.319707	0.60092
Sex, female	0.195866	0.945695	0.217201	0.214469	0.902	4.409	0.367179	1.04E-05