. Author manuscript; available in PMC: 2010 Feb 1.

Published in final edited form as: J Appl Gerontol. 2010 Feb;29(1):70–88. doi: 10.1177/0733464809335597

Table 2.

Likelihood of transportation difficulty as a function of race, predisposing factors, enabling factors, need factors, and race interactions with other predictors

	Race Only ^a			Race + covariates			Race + covariates + interactions

	B	SE	Exp(B)	B	SE	Exp(B)	B	SE	Exp(B)
Black	.929^***	.243	2.531	.400	.327	1.491	.662	2.029	1.939
Predisposing Factors
Age				.050^*	.023	1.052	.052^*	.023	1.053
Female				.874^**	.304	2.397	.872^**	.307	2.392
Enabling Factors
Married				−.481	.337	.618	−.060	.584	.942
Income				−.161	.093	.851	−.419^**	.156	.658
Social Support				.026	.041	1.027	.028	.041	1.028
Service Attendance				.094	.081	1.099	.101	.082	1.106
Health/Mental Health
Self-rated Health				.168	.135	1.183	.232	.241	1.261
Co-morbidity				.085	.081	1.089	.089	.082	1.093
MMSE				−.049	.028	.952	−.025	.059	.975
Depression				.156^**	.052	1.169	.162^**	.052	1.175
Interactions
Race X Married							−.549	.688	.577
Race X Income							.481^*	.198	1.618
Race X Self-rated Health							−.113	.277	.893
Race X MMSE							−.029	.084	.972
Constant	−2.033^***	2.226	.002	−6.066^**	2.226	.002	−6.567^***	2.784	.018
Nagelkerke R²		.049			.286			.305

^***

p < .001,

^**

p < .01,

p < .05

We ran the analysis including predisposing variables only (race, age, and gender) and found that race continued to have a statistically significant effect on transportation difficulty: B = .911, SE = .251, Exp(B) = 2.487 for Race p < .001