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Table 4 Multiple linear regression model with fat infiltration of the psoas (FIPsoas, %) as the dependent variable

From: Fat infiltration of the posterior paraspinal muscles is inversely associated with the fat infiltration of the psoas muscle: a potential compensatory mechanism in the lumbar spine

Predictor

b [95%-CI]

SE

Beta

t

p

VIF

(Constant)

11.463 [4.659,18.266]

3.449

 

3.324

0.001

 

FIPPM [%]

-0.297 [-0.391,-0.203]

0.048

-0.520

-6.235

 < 0.001

1.158

Age [years]

0.070 [-0.012,0.160]

0.041

0.135

1.683

0.094

1.474

BMI [kg/m2]

0.024 [-0.112,0.160]

0.069

0.024

0.350

0.727

1.036

Sex

1.870 [0.165,3.576]

0.864

0.151

2.164

0.032

1.106

Race

-0.315 [-1.881,1.251]

0.794

-0.027

-0.397

0.692

1.019

  1. Note. R2 = .171 (p < 0.001) Durbin-Watson Statistics: 1.982
  2. Independent variables were age, body mass index (BMI), sex, race and fat infiltration of the posterior paraspinal muscles (FIPPM, %). Significant values are marked in bold. Statistical significance was defined as p < 0.05