Table 3.
Adjusted Multivariable Linear Regression of High-Density Lipoprotein Cholesterol Efflux Capacity by Framingham Risk Score, High-Density Lipoprotein Cholesterol, Body Mass Index, and Matsuda Index
| Variable | Standardized beta coefficient | p-value |
|---|---|---|
| Framingham risk score | −0.184 | 0.046 |
| Framingham risk score | −0.090 | 0.312 |
| HDL-C | 0.372 | <0.001 |
| Framingham risk score | −0.061 | 0.501 |
| HDL-C | 0.370 | <0.001 |
| BMI | −0.118 | 0.182 |
| Framingham risk score | 0.024 | 0.807 |
| HDL-C | 0.272 | 0.006 |
| BMI | −0.152 | 0.144 |
| Matsuda index | 0.115 | 0.286 |
p-value<0.05.
In this multivariable linear regression model, the dependent variable was the log of the HDL cholesterol efflux capacity and the independent variables that were sequentially added were the Framingham Risk Score, HDL-C, BMI, and the Matsuda index. The standardized beta coefficient is based on a one standard deviation of change in the exposure on the outcome and provides context to each variable's contribution to HDL efflux variance.