Table 4. Multivariable model predicting LDL cholesterol*.
Model covariates | Unstandardized beta estimate (95% CI) |
---|---|
(Constant) | 127.9 (108.6, 147.3)¶ |
Female gender† | 6.5 (2.1, 10.8) ‖ |
Age, yrs† | -0.5 (-0.7, -0.2)¶ |
Education level, yrs‡ | -0.2 (-0.8, 0.4) |
Insurance type (ref: commercial insurance)† | |
Uninsured | 4.6 (-2.9, 12.2) |
Medicaid | -4.5 (-10.4, 1.4) |
Medicare | -1.5 (-7.0, 4.0) |
Race/Ethnicity (ref: non-Hispanic white) ‡ | |
Hispanic | -1.8 (-8.6, 4.9) |
Vietnamese | -9.9 (-16.9, -2.8)‖ |
History of heart disease† | -8.3 (-14.2, -2.5) ‖ |
Other comorbidity (Total Illness Burden Index score)‡ | 0.2 (-0.8, 1.1) |
Body mass index† | -0.1 (-0.2, 0.1) |
Lipid regimen intensity (Number of classes of lipid lowering medications) † | -3.8 (-7.3, -0.3)§ |
Nonadherence related to cost‡ | 4.6 (-0.3, 9.6) |
Nonadherence related to side effects‡ | 6.3 (2.0, 10.7) ‖ |
Results from a linear regression model predicting LDL cholesterol level (R2 = .12). Unstandardized beta estimates can be interpreted as the mean difference in LDL cholesterol associated with a one unit change in a given model covariate, adjusted for all other model covariates.
Derived from medical record abstraction.
From patient self-report in the baseline questionnaire.
p<0.05;
p<0.01;
p<0.001