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 3

Results of the logistic regression models for male (n=1152) and female (n=842) groups.

	Coefficient		Standard error		z score		p-value
	Male	Female	Male	Female	Male	Female	Male	Female
(Intercept)	-13.2658	-20.2182	1.344677	1.951553	-9.865	-10.36	< 2e-16	< 2e-16
Age	0.002213	0.026611	0.006961	0.011978	0.318	2.222	0.7505	0.026312
BMI	0.355822	0.539703	0.032111	0.047346	11.081	11.399	< 2e-16	< 2e-16
SBP	-0.01002	-0.01074	0.006147	0.008632	-1.63	-1.244	0.10306	0.213405
DBP	0.027274	0.039274	0.010201	0.013805	2.673	2.845	0.00751	0.004443
TG	0.628818	0.76328	0.093718	0.188619	6.71	4.047	1.95E-11	0.000052
LDL-C	0.144987	0.101325	0.099366	0.129806	1.459	0.781	0.14453	0.435046
HDL-C	-0.35774	-0.13634	0.229178	0.347107	-1.561	-0.393	0.11853	0.694472
SUA	0.00116	0.00572	0.001034	0.001547	1.123	3.698	0.26159	0.000218
eGFR	0.011235	0.006441	0.005169	0.006578	2.174	0.979	0.02974	0.32745
FPG	0.183773	0.120944	0.103598	0.160726	1.774	0.752	0.07608	0.451758
HbA1c	-0.00308	-0.00211	0.161804	0.163338	-0.019	-0.013	0.98484	0.989681