Correlation Analysis and Linear Regression Between Baseline Clinical Characteristics and Muscular Thickness of the Calf
| Parameter . | SF . | GM . | SM . | |
|---|---|---|---|---|
| BMI | R | 0.51 | 0.41 | 0.48 |
| P value | .002 | .017 | .004 | |
| Linear regression | ||||
| Slope | 0.04 (0.02,0.06) | 0.06 (0.02,0.11) | 0.07 (0.02,0.11) | |
| Intercept | −0.20 (−0.68,0.27) | 0.01 (−1.00,1.02) | 0.12 (−0.80,1.03) | |
| R2 | 0.26 | 0.17 | 0.23 | |
| Equation | Y = 0.04*X − 0.2 | Y = 0.06*X + 0.01 | Y = 0.07*X + 0.12 | |
| MC | R | 0.54 | 0.56 | 0.6 |
| P value | .001 | <.001 | <.001 | |
| Linear regression | ||||
| Slope | 0.03 (0.01,0.05) | 0.06 (0.03, 0.09) | 0.06 (0.03,0.096) | |
| Intercept | −0.52 (−1.11,0.07) | −1.04 (−2.21,0.12) | 0.91 (−2.02,0.21) | |
| R2 | 0.29 | 0.32 | 0.36 | |
| Equation | Y = 0.06*X − 0.52 | Y = 0.06*X − 1.04 | Y = 0.06*X − 0.91 | |
| Parameter . | SF . | GM . | SM . | |
|---|---|---|---|---|
| BMI | R | 0.51 | 0.41 | 0.48 |
| P value | .002 | .017 | .004 | |
| Linear regression | ||||
| Slope | 0.04 (0.02,0.06) | 0.06 (0.02,0.11) | 0.07 (0.02,0.11) | |
| Intercept | −0.20 (−0.68,0.27) | 0.01 (−1.00,1.02) | 0.12 (−0.80,1.03) | |
| R2 | 0.26 | 0.17 | 0.23 | |
| Equation | Y = 0.04*X − 0.2 | Y = 0.06*X + 0.01 | Y = 0.07*X + 0.12 | |
| MC | R | 0.54 | 0.56 | 0.6 |
| P value | .001 | <.001 | <.001 | |
| Linear regression | ||||
| Slope | 0.03 (0.01,0.05) | 0.06 (0.03, 0.09) | 0.06 (0.03,0.096) | |
| Intercept | −0.52 (−1.11,0.07) | −1.04 (−2.21,0.12) | 0.91 (−2.02,0.21) | |
| R2 | 0.29 | 0.32 | 0.36 | |
| Equation | Y = 0.06*X − 0.52 | Y = 0.06*X − 1.04 | Y = 0.06*X − 0.91 | |
BMI, body mass index; GM, gastrocnemius muscle; MC, maximal circumference of the calf; SF, subcutaneous fat; SM = soleus muscle.
Correlation Analysis and Linear Regression Between Baseline Clinical Characteristics and Muscular Thickness of the Calf
| Parameter . | SF . | GM . | SM . | |
|---|---|---|---|---|
| BMI | R | 0.51 | 0.41 | 0.48 |
| P value | .002 | .017 | .004 | |
| Linear regression | ||||
| Slope | 0.04 (0.02,0.06) | 0.06 (0.02,0.11) | 0.07 (0.02,0.11) | |
| Intercept | −0.20 (−0.68,0.27) | 0.01 (−1.00,1.02) | 0.12 (−0.80,1.03) | |
| R2 | 0.26 | 0.17 | 0.23 | |
| Equation | Y = 0.04*X − 0.2 | Y = 0.06*X + 0.01 | Y = 0.07*X + 0.12 | |
| MC | R | 0.54 | 0.56 | 0.6 |
| P value | .001 | <.001 | <.001 | |
| Linear regression | ||||
| Slope | 0.03 (0.01,0.05) | 0.06 (0.03, 0.09) | 0.06 (0.03,0.096) | |
| Intercept | −0.52 (−1.11,0.07) | −1.04 (−2.21,0.12) | 0.91 (−2.02,0.21) | |
| R2 | 0.29 | 0.32 | 0.36 | |
| Equation | Y = 0.06*X − 0.52 | Y = 0.06*X − 1.04 | Y = 0.06*X − 0.91 | |
| Parameter . | SF . | GM . | SM . | |
|---|---|---|---|---|
| BMI | R | 0.51 | 0.41 | 0.48 |
| P value | .002 | .017 | .004 | |
| Linear regression | ||||
| Slope | 0.04 (0.02,0.06) | 0.06 (0.02,0.11) | 0.07 (0.02,0.11) | |
| Intercept | −0.20 (−0.68,0.27) | 0.01 (−1.00,1.02) | 0.12 (−0.80,1.03) | |
| R2 | 0.26 | 0.17 | 0.23 | |
| Equation | Y = 0.04*X − 0.2 | Y = 0.06*X + 0.01 | Y = 0.07*X + 0.12 | |
| MC | R | 0.54 | 0.56 | 0.6 |
| P value | .001 | <.001 | <.001 | |
| Linear regression | ||||
| Slope | 0.03 (0.01,0.05) | 0.06 (0.03, 0.09) | 0.06 (0.03,0.096) | |
| Intercept | −0.52 (−1.11,0.07) | −1.04 (−2.21,0.12) | 0.91 (−2.02,0.21) | |
| R2 | 0.29 | 0.32 | 0.36 | |
| Equation | Y = 0.06*X − 0.52 | Y = 0.06*X − 1.04 | Y = 0.06*X − 0.91 | |
BMI, body mass index; GM, gastrocnemius muscle; MC, maximal circumference of the calf; SF, subcutaneous fat; SM = soleus muscle.
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