Skip to main content
. Author manuscript; available in PMC: 2016 Jul 1.
Published in final edited form as: J Ren Nutr. 2015 Mar 30;25(4):371–375. doi: 10.1053/j.jrn.2015.01.020

Table 2.

Multivariable linear regression model* relating 6MW distance (meter) to demographics, comorbid conditions, dialysis status and mid-thigh muscle area

β & 95% CI P value
Each SD$ increase in age −41.7 (−70.5, −12.9) 0.005
Male −29.1 (−69.9, 11.6) 0.16
White race −28.4 (−71.1, 14.2) 0.19
Each SD# increase in body mass index −36.7 (−53.9, −19.6) <0.001
Smoking −1.8 (−45.2, 41.6) 0.94
Alcohol use 4.1 (−26.9, 35.1) 0.79
Coronary artery disease −24.0 (−68.5, 20.5) 0.29
Congestive heart failure −39.1 (−90.5, 12.3) 0.14
Peripheral vascular disease −29.0 (−87.5, 29.6) 0.33
Cerebrovascular disease −20.0 (−57.5, 17.5) 0.30
Diabetes −20.9 (−55.9, 14.1) 0.24
Lung disease 12.6 (−30.5, 55.7) 0.57
MHD vs non-HD status −117 (−177, −56) <0.001
Each SD^ increase in mid-thigh muscle area 44.6 (22.7, 66.5) <0.001
*

All variables are in the same model. Also adjusted for age ≥ 65 years as a dichotomous variable as the entire non-HD population was 65 years of age or older.

$

Each SD of age was 17.7 years

#

Each SD of BMI was 6.0 kg/m2

^

Each of mid-thigh muscle area was 24.4 cm2