. 2019 May 30;19:131. doi: 10.1186/s12872-019-1095-2

Table 2.

Linear regression analysis of variables associated with circulating BMP9 levels in the study population

	HTN			HTN + CHD				CHD
	Simple		Multiple		Simple		Multiple		Simple		Multiple
Variable	R	P	β	P	R	P	β	P	R	P	β	P
Age (yr)	−0.086	0.201			0.289	<0.01			−0.021	0.856
BMI (kg/m²)	0.089	0.190			−0.100	<0.001	−9.033	<0.001	−0.005	0.966
WHR	−0.049	0.461			−0.333	<0.01			−0.022	0.847
FAT (%)	−0.085	0.205			−0.515	<0.001			0.158	0.166
SBP (mmHg)	−0.219	0.006	−0.004	<0.001	− 0.345	<0.001			−0.165	0.149
DBP (mmHg)	−0.085	0.205			−0.779	<0.001			0.078	0.497
TG (mmol/L) ^a	0.081	0.231			−0.303	<0.01			−0.142	0.214
TC (mmol/L)	0.066	0.330			0.054	0.621			0.026	0.820
HDL-C (mmol/L)^a	−0.003	0.965			0.193	0.076			0.085	0.459
LDL-C (mmol/L)	0.140	0.341			0.092	0.397			0.156	0.173
FFA (mmol/L) ^a	0.136	0.012	0.203	<0.001	0.634	<0.001	0.114	<0.001	0.158	0.166
FBG (mmol/L)	0.118	0.076			−0.096	0.379			−0.232	< 0.05
2 h-BG (mmol/L)	−0.134	0.051			0.009	0.938			−0.10	< 0.01	−7.394	<0.05
FIns (mU/L) ^a	−0.148	0.015			0.211	0.052			0.120	0.297
HbA1c(%)	−0.567	0.234			0.017	0.873			−0.030	0.792
HOMA-IR^a	−0.135	0.030			0.195	0.073			0.138	0.228

In multiple linear regression analysis, values included for analysis were age, sex, BMI, WHR, FAT, TG, HDL,TC,HOMA-IR,2 h-BG, FFA. ^aLog transformed before analysis