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. Author manuscript; available in PMC: 2011 Jun 1.
Published in final edited form as: J Vasc Surg. 2010 Apr 10;51(6):1436–1441. doi: 10.1016/j.jvs.2009.12.072

Table III.

Multiple regression model predicting resting energy expenditure from clinical characteristics, peripheral hemodynamic measures, and body composition measures in patients with peripheral arterial disase.

Independent
Variable
Model Coefficient (SE) 95% CI P-value
Fat Free Mass 22.934 (1.577) 19.798 to 26.071 < 0.0001
Age − 11.471 (1.932) − 15.315 to − 7.628 < 0.0001
ABI 5.123 (1.901) 1.322 to 8.924 < 0.0001
Ethnicity − 101.212 (27.207) − 155.335 to − 47.089 < 0.0001
Calf Blood Flow 29.756 (10.407) 9.052 to 50.459 0.0050
Diabetes −65.2925 (16.315) −97.923 to −32.663 0.0081
*

Overall model results: F-test statistic = 74.29 with (6,133) degrees of freedom, p < 0.0001, Multiple R = 0.907, R2=0.823.