Table 4.

Results from the moderated regression analysis predicting HOMA-IR and HOMA-β

Dependent variable	Predictors	Model 1						Model 2
		β	SE	t	p	ΔR2	F	β	SE	t	p	ΔR2	F
HOMA-IR	BMI	0.890	0.007	12.733	< 0.001			0.09	0.007	12.418	< 0.001
	T16217C	− 0.027	0.088	− 0.303	0.762			− 0.034	0.088	− 0.391	0.696
	BMI*T16217C	0.046	0.022	2.069	0.039	0.006	4.28*	0.045	0.022	2.011	0.045	0.006	4.044*
	BMI	0.086	0.007	12.114	< 0.001			0.086	0.007	11.873	< 0.001
	A16316G	0.474	0.191	2.477	0.014			0.49	0.193	2.544	0.011
	BMI*A16316G	− 0.255	0.079	− 3.247	0.001	0.015	10.541**	− 0.255	0.079	− 3.238	0.001	0.015	10.485**
HOMA-β	BMI	0.058	0.008	7.161	< 0.001			0.058	0.008	6.982	< 0.001
	A16203G	0.354	0.282	1.257	0.209			0.354	0.280	1.264	0.207
	BMI*A16203G	− 0.159	0.070	− 2.253	0.025	0.009	5.076*	− 0.170	0.070	− 2.418	0.016	0.01	5.849*
	BMI	0.550	0.008	6.772	< 0.001			0.055	0.008	6.623	< 0.001
	A16316G	0.497	0.220	2.254	0.025			0.510	0.221	2.301	0.022
	BMI*A16316G	− 0.255	0.090	− 2.824	0.005	0.014	7.977**	− 0.252	0.090	− 2.790	0.005	0.013	7.782**

^*p < 0.05

^**p < 0.01

Model 1 was crude model; model 2 was adjusted by age, LH/FSH, and T

BMI, body mass index; HOMA-IR, homeostasis model assessment of insulin resistance; HOMA-β, homeostasis model assessment of β-cell function; SE, standard error