Table 3.

Predictors of mammography screening adherence as entered in four separate logistic regression models

	Model 1			Model 2			Model 3			Model 4
Predictors	Exp (B)	95% CI	p	Exp (B)	95% CI	p	Exp (B)	95% CI	p	Exp (B)	95% CI	p
Age (years)	1.03	(.99-1.1)	.056	1.04	(1.0-1.1)	.048	1.05	(1.0-1.1)	.007	1.05	(1.0-1.1)	.024
Employment (no =0, yes=1)	0.880	(.51, 1.5)	.644	0.863	(.50-1.5)	.596	0.817	(.46-1.4)	.489	0.728	(.39-1.4)	.328
Insurance (no =0, yes=1)	1.67	(.89, 3.1)	.108	1.69	(.86-3.3)	.131	2.06	(.99-4.3)	.052	1.94	(.87-4.3)	.107
Monthly income (dollars)	1.20	(.93,1.6)	.167	1.24	(.95-1.6)	.112	1.18	(.89-1.6)	.244	1.08	(.80-1.5)	.610
Education (years)	1.00	(.93, 1.1)	.997	1.01	(.95-1.1)	.715	1.01	(.94-1.1)	.779	1.00	(.93-1.1)	.916
Marital status	1.26	(.77, 2.1)	.363	1.28	(.77-2.1)	.338	1.34	(.79-2.3)	.279	1.48	(.83-2.6)	.184
Place of Birth (non-U.S.=0, U.S.=1)				0.435	(.15-1.3)	.137	0.500	(.15-1.6)	.246	0.726	(.20-2.7)	.629
Years living in U.S.				1.01	(.99-1.0)	.396	1.01	(.98-1.0)	.492	1.00	(.98-1.0)	.885
Pap Smear adherence (CBE proxy)							6.59	(3.2-13.7)	.000	6.30	(2.8-14.1)	.000
Physician Instruction										3.44	(1.5-7.7)	.003
Physician Recommendation										5.09	(2.6-9.8)	.000

Note. N=344. Mammography screening adherence (1=adherence, 0=non-adherence). Exp (B): change in odds when a given independent variable increases by one unit. CI=confidence interval.