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.