Table 3.

Weighted logistic regression model assessing mammography screening behavior from the interaction or race/ethnicity and urban-rural residency after adjusting for covariates

Variables	OR	95% CI		p
Urban
Non-Hispanic White	Ref.
Non-Hispanic Black	1.82	1.28	2.59	0.001
Hispanic	1.8	1.32	2.46	< 0.001
Other	0.91	0.57	1.47	0.502
Rural
Non-Hispanic White	0.98	0.75	1.28	0.892
Non-Hispanic Black	1.7	0.84	3.46	0.143
Hispanic	0.86	0.54	1.36	0.512
Other	1.46	0.58	3.66	0.425
Insurance
Yes	Ref.
No	0.48	0.36	0.63	< 0.001
PCP
Yes	Ref.
No	0.46	0.35	0.6	< 0.001
Education
< High School	Ref.
High School Graduate	1	0.73	1.37	0.995
Some College	0.93	0.66	1.29	0.647
College Graduate	1.15	0.8	1.65	0.455
Income
< $25,000	Ref.
$25,000 to < $75,000	1.35	1.06	1.71	0.013
$75,000 +	2.03	1.48	2.8	< 0.001
Marital status
Married	Ref.
Unmarried	0.86	0.71	1.06	0.162
BMI
< 25	Ref.
25–30	1.1	0.89	1.36	0.392
> 30	0.97	0.77	1.22	0.774
Age
40–49	Ref.
50–74	2.03	1.6	2.58	< 0.001
≥ 75	1.16	0.83	1.64	0.386
Employment status
Yes	Ref.
No	1.09	0.88	1.34	0.435

Abbreviations: OR, odds ratio; CI, confidence interval; Ref, reference