Table 3.

Odds Ratios From Logistic Regression Models Predicting Antihypertensive Medication Use.

	Antihypertensive use
	A
	Women	Men	All
	Model 1	Model 2	Model 3
Education (less than high school)
High school	1.691***	0.986	1.016
Some college	1.797***	1.063	1.105
Bachelor’s degree	1.475**	1.235	1.257
Female	—	—	1.108
Interactions (less than high school × male)
High school × female	—	—	1.623**
Some college × female	—	—	1.579*
Bachelor’s degree × female	—	—	1.141
Demographic (non-Hispanic White)
Hispanic	1.034	0.663**	0.817
Non-Hispanic Black	1.006	1.255	1.094
Age	1.049***	1.052***	1.050***
Partnered	1.304**	1.232	1.281**
Simultaneous diagnosis
Diabetes	0.532*	0.352***	0.428***
Heart problem	2.098**	2.530***	2.301***
Stroke	1.299	0.596	0.819
Cancer	1.103	1.607	1.380
Psychological problem	0.999	0.499*	0.752
Control variables
Health insurance	1.607***	1.035	1.321**
Using any other medications	3.074***	4.668***	3.784***
Constant	0.083***	0.100***	0.085***
Sample size	2,256	1,621	3,877
Panel observations	2,256	1,621	3,877

Note. Reference categories shown in parentheses. All models also control for a prior diagnosis (i.e., diabetes, heart problem, or stroke), none of which were significant predictors of behavioral modifications.

^*p < .1.

^**p < .05.

^***p < .01.