Table 3.

Ordered Logistic Regression Models Fit to Demographic Characteristics

		Knowledge	P Value	Option	P Value	Decision	P Value
Age (decades)		0.95		0.99	.752	0.95	.06
Age squared		0.91	<.001	0.95	.003	0.92	<.001
Female		1.75	<.001	1.68	<.001	1.53	<.001
Race/ethnicity	White	1.00		1.00		1.00
	Black	1.06	.671	0.99	.974	0.68	.003
	Hispanic	0.59	.001	0.84	.373	0.67	.016
Education	<High school	0.66	.005	0.98	.884	0.74	.039
	High school	1.00		1.00		1.00
	>High school	1.63	<.001	0.97	.771	1.44	<.001
Has regular doctor		0.75	.009	0.93	.635	0.66	<.001
Health status	Excellent	1.00		1.00		1.00
	Very good	0.76	.013	0.72	.027	0.72	.003
	Good	0.78	.031	0.72	.027	0.72	.003
	Fair	0.80	.121	0.69	.040	0.89	.449
	Poor	0.74	.278	0.36	.001	0.55	.035

Table gives adjusted odds ratio. Age and age squared are linear and quadratic terms for age measured in decades and centered at 45 years. “Has regular doctor” indicates whether the respondent reported having a regular doctor or clinic.