Skip to main content
. Author manuscript; available in PMC: 2013 Feb 1.
Published in final edited form as: Cancer Epidemiol Biomarkers Prev. 2011 Dec 6;21(2):351–357. doi: 10.1158/1055-9965.EPI-11-0873

Table 4.

Predictors of past-two year mammography use in the United States among women ages 40- to 74-years. Results are from logistic regression models using pooled Medical Expenditure Panel Survey data (1996–2007).

Mammographya
Model 1b Model 2c
ORd 95 % CI ORd 95 % CI
Race/Ethnicity
Non-Latina Whites 1.00 ref 1.00 ref
Puerto Ricans 1.03 0.83–1.28 1.55*** 1.26–1.92
Cubans 0.76* 0.55–1.04 1.13 0.84–1.53
Mexicans 0.56*** 0.50–0.63 1.04 0.91–1.18
Other Latinas 0.80** 0.69–0.94 1.25** 1.05–1.49
Blacks 0.87*** 0.80–0.94 1.22*** 1.12–1.32
Age (years)
40–49 0.61** 0.58–0.65 0.58*** 0.55–0.62
50–64 1.00 ref 1.00 ref
65–74 0.88*** 0.82–0.95 0.97 0.89–1.05
Education
Less than high school 1.00 ref
High school 1.23*** 1.14–1.32
Some college 1.40*** 1.28–1.54
College or more 1.67*** 1.53–1.82
Family Incomee
<100% 1.00 ref
100%–124% 0.96 0.85–1.10
125%–199% 1.07 0.98–1.16
200%–399% 1.27*** 1.16–1.39
≥ 400% 1.82*** 1.67–1.98
Insurance
Uninsured 1.00 ref
Private 3.08*** 2.82–3.37
Public 2.38*** 2.16–2.62
a

Models control for survey year (not included in table)

b

Logistic regression model of past-two year mammography(0=No; 1=Yes) on main predictor (predisposing factor) race/ethnicity, controlling for age.

c

Logistic regression model of past-two year mammography(0=No; 1=Yes) on main predictor (predisposing factor) race/ethnicity, controlling for age and enabling factors including education, income and insurance.

d

Odds ratios

e

Relative to federal poverty level

***

P<0.01

**

P<0.05

*

P<0.10