Table 6.
Multivariate Predictors of Overall Mortality in ALM-Defined Low Lean Mass
Multivariatea | p Value | |
---|---|---|
HR (95% CI) | ||
Age | 1.07 (1.05, 1.11) | <.001 |
Sex | 0.79 (0.30, 1.67) | .54 |
Diabetes | 2.68 (1.59, 4.52) | <.001 |
Protein | 0.99 (0.99, 1.00) | .10 |
% Body fat | 0.65 (0.42, 1.00) | .05 |
Racecat_2 | 1.99 (1.20, 3.30) | .007 |
IPAQ180_2 | 0.56 (0.36, 0.87) | .01 |
PIR | 0.76 (0.64, 0.92) | .004 |
Kidney disease | 3.73 (1.86, 7.49) | <.001 |
CHF | 1.66 (0.94, 2.93) | .08 |
Cancer | 2.76 (1.59, 4.80) | <.001 |
Osteoporosis | 2.58 (0.92, 7.25) | .07 |
Stroke_1 | 1.74 (0.96, 3.15) | .07 |
Note: All values represent HRs with 95% CIs. Kidney disease was determined using the Modification of Diet in Renal Disease formula and classified if glomerular filtration rate was <60 mL/min/m2. ALM = appendicular lean mass; CHF = congestive heart failure; CI = confidence interval; HR = hazard ratio; PIR = poverty income ratio.
Stepwise regression models integrating all of the above key variables. We present only predictors that were significant in the multivariate models A p value of .10 was the upper level for removal from the model, and a value of .05 was the lower level for the addition to the model.