Table 2.
Logistic Regression Models. Analytic models of the effect of statin use on likelihood (OR) of having blood pressure under control (<140/90) after controlling for demographic, lifestyle and CRP factors, in all participants and stratified according to use of anti-hypertensive medication.
All Participants | Using Anti-hypertension Medication | Not Using Anti-hypertension Medication | ||||
---|---|---|---|---|---|---|
OR | 95% CI | OR | 95% CI | OR | 95% CI | |
Model 1: Controlling for Age, Gender and Race | 2.00 | 1.46–2.72 | 1.48 | 1.03–2.13 | 1.37 | 0.64–2.94 |
Model 2: Model 1 + BMI and Diabetes | 2.00 | 1.45–2.75 | 1.58 | 1.10–2.28 | 1.24 | 0.60–2.59 |
Model 3*: Model 2 + Smoking, Exercise, Diet | 1.46 | 1.05–2.05 | 1.59 | 1.12–2.28 | 1.41 | 0.69–2.89 |
Model 4*: Model 3 + ln(CRP) | 1.45 | 1.03–2.05 | 1.56 | 1.07–2.26 | 1.48 | 0.73–3.03 |
Model 5*: Model 3 + Cholesterol (≤200 vs. >200 mg/dl) | 1.43 | 0.98–2.07 | 1.53 | 1.03–2.27 | 1.45 | 0.70–3.02 |
Models 3, 4, and 5 among All Participants included use of anti-hypertension medications as a control variable.