Table 3.

a. Univariate Logistic Regression Analysis for Factors Predicting Blood Pressure Control

Predictor	Odds Ratio	P Value	No. for Each Analysis
Age	0.98	.06	208
Race (white vs other)	1.11	.71	212
Sex (female vs male)	2.25	.01	212
Insurance (Medicaid/Medicare vs others)	0.78	.55	212
Smoker (not reported vs yes)	0.64	.38	211
Smoker (no vs yes)	0.74	.79
Body mass index	0.99	.47	185
No. of clinic visits	1.04	.23	188
Emergency department or hospitalization	0.94	.52	212
No. of medications (≥4 vs <4)	1.03	.95	212

b. Multivariate Logistic Regression Analysis for Factors Predicting Blood Pressure Control (n = 160)
Predictor	Odds Ratio	P Value
Age	0.97	.06
Race (white vs other)	1.18	.65
Sex (female vs male)	2.27	.02
Insurance (Medicaid/Medicare vs others)	1.22	.68
Smoker (not reported vs yes)	0.49	.29
Smoker (no vs yes)	0.56	.56
Body mass index	0.99	.58
No. of clinic visits	1.04	.29
Emergency department or hospitalization	0.91	.37
No. of medications (≥4 vs <4)	1.01	.99

c. Additional Logistic Regression Analysis for Factors Predicting Blood Pressure Control According to Medication Use (n=212)
Predictor	Odds Ratio	P Value
β‐Blockers (use vs not use)	1.27	.44
ACE inhibitor or ARB (use vs not use)	0.63	.11
Diuretics (use vs not use)	0.69	.23
CCB (use vs not use)	0.55	.15

Abbreviations: ACE, angiotensin‐converting enzyme; ARB, angiotensin receptor blocker; CCB calcium channel blocker. Bold values indicate significance or increasing trend towards significance.