Table 2.
a Multivariable linear regression analysis for the prediction %EFV change | |||
---|---|---|---|
Beta | 95% C.I | p value | |
Age | 0.07 | −0.2 to 0.3 | 0.6 |
Gender | −6.4 | −10.9 to −1.8 | 0.006 |
Hypercholesterolemia | 1.0 | −3.4 to 5.4 | 0.7 |
Hypertension | 4.7 | 0.5 to 9.0 | 0.03 |
Diabetes | 2.2 | −7.1 to 11.5 | 0.6 |
Smoking | 5.7 | −3.8 to 15.1 | 0.2 |
Family History of CAD | −1.8 | −6.4 to 2.7 | 0.4 |
%weight change | 1.2 | 0.9 to 1.5 | <0.001 |
%BMI change | 1.2 | 0.9 to 1.5 | <0.001 |
b Multivariable logistic regression analysis for the prediction of significant EFV change | |||
---|---|---|---|
Odds Ratio | 95% C.I | p value | |
Hypercholesterolemia | 1.0 | 0.6 to 1.6 | 0.9 |
Hypertension | 1.6 | 1.0 to 2.6 | 0.03 |
Diabetes | 1.3 | 0.5 to 3.5 | 0.6 |
Smoking | 2.3 | 0.8 to 6.5 | 0.1 |
Family History of CAD | 0.9 | 0.6 to 1.5 | 0.7 |
%weight change | 1.1 | 1.1 to 1.2 | <0.001 |
%BMI change | 1.1 | 1.1 to 1.2 | <0.001 |