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. Author manuscript; available in PMC: 2014 Sep 1.
Published in final edited form as: Circ Cardiovasc Imaging. 2013 Aug 8;6(5):800–807. doi: 10.1161/CIRCIMAGING.113.000532

Table 4. Multivariable-Adjusted Linear Regression Models of Relation of Adiposity Phenotypes to Hemodynamics.

Cardiac Output Systemic Vascular Resistance

β P-value β P-value

Visceral Fat

Model 1 -0.10 0.0006 0.08 0.01
Model 2 -0.09 0.003 0.07 0.03
Abdominal Subcutaneous Fat

Model 1 0.01 0.80 0.04 0.25
Model 2 0.01 0.82 0.05 0.21
Lower Body Fat

Model 1 0.20 <0.0001 -0.18 <0.0001
Model 2 0.19 <0.0001 -0.17 <0.0001

Models constructed with hemodynamic measure as dependent variable and fat parameter as independent variable; β coefficient is per 1-SD of the fat parameter.

Model 1 is adjusted for age, sex, African-American race, systolic blood pressure, antihypertensive medication use, diabetes, hyperlipidemia, exercise, alcohol use, cardiovascular disease, smoking, lean mass, visceral fat, abdominal subcutaneous fat, and lower body fat mass.

Model 2 is identical to Model 1 but excludes all participants with hypertension or treated with antihypertensive medication.