Table 4.
Multiple linear regression analysis of predictors of maximal oxygen consumption (log VO2max)
| β | 95% Confidence Interval | p value | |
|---|---|---|---|
| Renal transplant (vs. controls) | -0.136 | -0.192 to -0.079 | p < 0.001 |
| Black race (vs. non-black) | -0.128 | -0.179 to -0.077 | p < 0.001 |
| Female sex (vs. male sex) | -0.109 | -0.170 to -0.048 | p = 0.001 |
| Fat free mass | 0.923 | 0.822 to 1.024 | p < 0.001 |
| Fat mass | -0.093 | -0.144 to -.042 | p < 0.001 |
| Constant | -2.144 |
R2 = 0.84. Model is described by VO2max = exp [-2.144 + (-0.128 * Race) + (-0.109 * Sex) + (-0.136 * Renal Transplant)] * Fat Free Mass0.923 * Fat Mass-0.093.
VO2max, fat free mass and fat mass were log transformed.