Table 3.

Fear of Cost as a Barrier to Mammography (n=8739)^a

Demographic Variable	Odds Ratio (OR)	95% CIb	p-value
Employed vs. not employed	1.11	1.01–1.22	0.032
Site of Residence
North STL vs. Not North STLc	0.89	0.79–1.00	0.059
Bootheel vs. Not Bootheeld	2.31	1.86–2.88	<0.001
Insured vs. uninsured	0.44	0.40–0.49	<0.001
Race/Ethnicity e
NH Black vs. NH White	0.58	0.52–0.64	<0.001
Hispanic vs. NH White	0.34	0.26–0.43	<0.001
Other vs. NH White	0.65	0.55–0.77	<0.001

Wald χ²_{df 11}= 513.00, p<0.0001

^aMultivariable logistic regression model included the following variables (variable values in parentheses with reference group underlined): employment (employed, unemployed), residence in high-mortality North St. Louis zip code (resident, non-resident), residence in Bootheel zip code (resident, non-resident), insurance coverage (insured, uninsured), and race/ethnicity (non-Hispanic Black, non-Hispanic White, Hispanic, Other).

^bCI = confidence interval

^cNorth STL = one of 8 North St. Louis zip codes with disproportionately high rates of both late-stage breast cancer diagnoses and breast-cancer-specific mortality^3–5

^dBootheel = southernmost, rural area of Missouri

^eNH = Non-Hispanic