Table 4 Multiple linear regression analysis between the changes of muscle mass and aortic morphology.

From: One-year longitudinal association between changes in aortic regional morphology and muscle mass in cancer

 

Model

β (95% CI)

p Value

ΔL1

1

− 0.670 (− 1.209, − 0.131)

0.015

2

− 0.503 (− 1.046, 0.040)

0.039

ΔL2

1

− 0.500 (− 0.896, − 0.103)

0.014

2

− 0.382 (− 0.739, − 0.025)

0.036

ΔL3

1

− 0.379 (− 0.633, − 0.124)

0.004

2

− 0.241 (− 0.439, − 0.043)

0.018

ΔL4

1

− 0.360 (− 0.558, − 0.163)

< 0.001

2

− 0.174 (− 0.363, 0.015)

0.041

ΔL5

1

− 0.349 (− 0.588, − 0.111)

0.005

2

− 0.163 (− 0.464, − 0.102)

0.003

ΔTortuosity aorta

1

− 0.032 (− 0.039, − 0.024)

< 0.001

2

− 0.020 (− 0.030, − 0.014)

< 0.001

ΔTortuosity DTA

1

− 0.024 (− 0.032, − 0.017)

< 0.001

2

− 0.017 (− 0.023, − 0.012)

< 0.001

ΔTortuosity AA

1

− 0.022 (− 0.038, − 0.006)

0.006

2

− 0.016 (− 0.027, − 0.006)

0.002

  1. Model 1 was adjusted for age, gender and BMI; model 2 was adjusted for age, sex, BMI, ΔHDL-C, Δdiastolic pressure and ΔCRP.
  2. Δ change, DTA descending thoracic aorta, AA abdominal aorta; BMI Body mass index, HDL-C high-density lipoprotein cholesterol, CRP C-reactive protein.