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. Author manuscript; available in PMC: 2018 Mar 5.
Published in final edited form as: J Community Health. 2012 Dec;37(6):1239–1248. doi: 10.1007/s10900-012-9562-z

Table 4.

Relationship between county sociodemographic characteristics and absence of mammography machines, 2009

Unadjusted Adjusteda


Odds ratio 95 % CI p value Odds ratio 95 % CI p value
Population density
 Highest 1.0 1.0
 Middle 5.6 (4.1, 7.6) < .0001 2.9 (2.1, 4.1) < .0001
 Lowest 21.2 (15.9, 28.9) < .0001 11.0 (7.7, 15.9) < .0001
Percent insured
 Highest 1.0 1.0
 Middle 2.6 (2.1, 1.3) < .0001 1.7 (1.3, 2.3) < .0001
 Lowest 5.7 (4.6, 7.1) < .0001 3.3 (2.5, 4.3) < .0001
Percent in poverty
 Highest 1.0 1.0
 Middle 0.6 (0.5, 0.7) < .0001 1.0 (0.8, 1.3) NS
 Lowest 0.6 (0.5, 0.7) < .0001 1.3 (1.0, 1.8) NS
Household income inequality
 Highest 1.0 1.0
 Middle 2.6 (2.0, 3.2) < .0001 1.0 (0.7, 1.4) NS
 Lowest 6.1 (4.9, 7.7) < .0001 1.6 (1.1, 2.3) 0.01
Primary care physician density
 Highest 1.0 1.0
 Middle 1.9 (1.4, 2.4) < .0001 1.8 (1.3, 2.4) < .0001
 Lowest 11.5 (9.1, 14.6) < .0001 8.9 (6.8, 11.7) < .0001
a

Values for each variable adjusted for all other variables in table