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. 2017 Jul 20;14(9):891–895. doi: 10.7150/ijms.19854

Table 2.

Multiple regression analysis for prediction of epicardial adipose tissue UCP1, PGC1α and PRDM16 mRNA levels

Variables EAT UCP1 mRNA (R2=0.503) EAT PGC1α mRNA (R2=0.641) EAT PRDM16 mRNA (R2=0.499)
β 95%CI P value β 95%CI P value β 95%CI P value
Age 0.071 0.019-0.132 0.032 0.099 0.032-0.199 0.003 0.079 0.041-0.177 0.041
Gender (Man) 0.119 -0.043-(-0.291) 0.040 -0.152 -0.064-(-0.237) 0.001 -0.101 -0.041-(-0.301) 0.041
Body mass index -0.090 -0.002-(-0.301) 0.041 -0.181 -0.001-(-0.248) 0.039 -0.088 -0.012-(-0.431) 0.049
Obesity -0.281 -0.108-(-0.931) 0.029 -0.381 -0.119-(-0.849) 0.022 -0.229 -0.099-(-0.983) 0.041
Diabetes Mellitus -0.230 -0.101-(-0.931) 0.041 -0.460 -0.159-(-0.869) 0.044 -0.201 -0.032-(-0.899) 0.044
Hypertension 0.083 0.021-0.333 0.044 0.131 0.021-0.343 0.039 0.072 0.012-0.435 0.049
Dyslipidemia 0.145 -0.241-2.001 0.519 0.243 -0.343-1.141 0.439 0.198 -0.341-1.191 0.321
Coronary artery Disease -0.111 -0.003-(-0.801) 0.041 -0.098 -0.003-(-0.798) 0.038 -0.131 -0.003-(-0.813) 0.044
LVEF 0.222 0.081-0.344 0.002 0.399 0.049-0.598 0.001 0.119 0.052-0.301 0.002

Values were considered to be statistically significant when P < 0.05

CI: Confidence Interval; EAT: epicardial adipose tissue; LVEF: left ventricular ejection fraction; PGC1α: peroxisome proliferator-activated receptor gamma coactivator 1-alpha; PRDM16: PR-domain-missing 16; UCP1: uncoupling protein 1.