Skip to main content
. Author manuscript; available in PMC: 2010 May 1.
Published in final edited form as: Metabolism. 2009 May;58(5):608–615. doi: 10.1016/j.metabol.2008.12.005

Table 4.

Multivariate Regression Analyses for REE (kcal/d)

HIV-Infected Subjects, n=183
Parameter Estimate (beta) SE P value
BMI (kg/m2) −16.33165 8.481426 0.056
Age (y) −0.866462 2.252714 0.70
Gender 41.237605 30.6016 0.18
Respiratory Quotient 528.4808 231.3074 0.024
Dietary Fat (g) 0.0782477 0.546601 0.89
Dietary Carbohydrate (g) 0.3525015 0.185404 0.059
CT VAT (cm2) 0.7182746 0.26755 0.008
Fat Free Mass (kg) 24.811334 2.944075 <0.0001
Total Body Fat (kg) 8.0506839 3.911959 0.041
CD4 (#/mm3) −0.054781 0.060908 0.37
Triglycerides (mg/dL) 0.0773081 0.072956 0.29
Activity (MET-hours) 0.0114182 0.18809 0.95

Control Subjects, n=119
Parameter Estimate (beta) SE P value

BMI (kg/m2) −5.85139 9.998695 0.56
Age (y) −1.653699 2.412292 0.50
Gender 0.7825825 30.59653 0.98
Respiratory Quotient −19.85478 215.2759 0.93
Dietary Fat (g) 0.7520528 0.501677 0.14
Dietary Carbohydrate (g) −0.201068 0.206064 0.33
CT VAT (cm2) 1.0612073 0.355541 0.004
CT SAT (cm2) −0.779323 0.41413 0.063
Fat Free Mass (kg) 22.613005 2.677683 <0.0001
Total Body Fat (kg) 15.805547 6.011043 0.010

Relationships between covariates and Resting Energy Expenditure in regression modeling among HIV infected subjects (p<0.0001, r2 = 0.705). Variables in bold were significantly related to REE in the model.

Relationships between covariates and Resting Energy Expenditure in regression modeling among control subjects (p<0.0001, r2 = 0.825). Variables in bold were significantly related to REE in the model.