Table 3. Multiple linear regression for assessing an association between spexin and related factors .

Variables	Model 1a		Model 2b		Model 3 c		Model 4 d
	Β	p	Β	p	Β	p	B	p
Leptin	-0.095	0.01	-0.053	0.277	0.083	0.051	0.084	0.037
Age	-0.037	0.543
Gender	4.94	<0.001			9.372	<0.001	7.164	<0.001
Group 1	-7.311	<0.001	-3.769	<0.001	-9.440	<0.001	-9.205	<0.001
Group 2	-7.095	<0.001	-3.532	<0.001	-10.922	<0.001	-10.744	<0.001
Waist circumference	-0.144	<0.001	-0.126	<0.001	0.042	0.327
BMI	-0.398	<0.001	-0.413	<0.001	0.212	0.148	0.307	0.018
SBP	-0.136	<0.001	-0.111	<0.001	-0.079	0.010	-0.070	0.001
DBP	-0.130	0.004	-0.107	0.012	0.026	0.550
FBS	-0.036	0.014	-0.032	0.024	-0.004	0.627
TG	-0.007	0.009	-0.006	0.029	0.001	0.635
HDL	0.090	0.057	0.054	0.249	-0.007	0.823
MetS component	-1.077	<0.001	-1.071	<0.001	0.685	0.40	0.794	0.005
Basal metabolic rate	-0.002	<0.001	-0.002	<0.001	-0.003	0.270
Fat mass	-0.104	0.027	-0.173	<0.001	-0.831	0.001	-0.833	0.001
Fat free mass	0.222	<0.001	0.214	<0.001	0.451	0.226
Trunk fat	-0.237	0.003	-0.262	0.001	1.379	<0.001	1.346	<0.001

Study groups include control group, normal-weight without MeS (Group 1), overweight/obese without MetS (Group 2), overweight/obese with MetS.

^a Unadjusted effect of variables

^b Adjusted for demographic variables such as gender, age, marital status, and educational level

^c Adjusted model (all variables, with p-value < 0.2, entered the model such as leptin, age, gender, group1, group2, waist circumference, BMI, SBP, DBP, FBS, TG, HDL, MetS component, BMR, fat mass, fat free mass, trunk fat).

^d Multivariable backward linear regression model.