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. 2017 Jul 26;7:6491. doi: 10.1038/s41598-017-06831-7

Table 2.

Multiple linear regression analysis to identify clinical and metabolic variables associated with ASM/height2, ASM/BMI, or tmCSA/weight.

DXA CT
ASM/height2 ASM/BMI tmCSA/weight
Coefficient (SE) P Coefficient (SE) P Coefficient (SE) P
Age (years) −0.022 (0.005) <0.001 −0.003 (0.001) <0.001 −0.002(0.001) 0.084
Gender (M/F) 1.424 (0.100) <0.001 0.268 (0.013) <0.001 0.315 (0.027) <0.001
Physical activity 0.042 (0.011) <0.001 0.079 (0.023) <0.001
Alcohol consumption −0.021 (0.013) 0.103 −0.071 (0.026) 0.007
Systolic blood pressure (mmHg) 0.015 (0.004) <0.001 −0.001 (0.001) 0.085 −0.002 (0.001) 0.007
Total cholesterol (mmol/L) −0.128 (0.058) 0.027
Triglycerides (mmol/L) 0.224 (0.058) <0.001 −0.034 (0.012) 0.005
HOMA-IR −0.009 (0.002) <0.001 −0.020 (0.005) <0.001
HDL-cholesterol (mmol/L) 0.245 (0.153) 0.110
25(OH)D (mmol/L) 0.002 (0.001) 0.023
Adjusted R 2 47.6% 67.4% 48.0%

The following covariates were considered independent variables prior to stepwise variable selection approach: age, gender, alcohol consumption, smoking status, physical activity, systolic blood pressure, total cholesterol, triglycerides, HDL-cholesterol, HOMA-IR, hsCRP, 25(OH)D values.