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. 2017 Feb 16;72(10):1445–1451. doi: 10.1093/gerona/glx002

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.

a

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.