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. Author manuscript; available in PMC: 2010 Dec 1.
Published in final edited form as: Breast Cancer Res Treat. 2009 Mar 20;118(3):583–592. doi: 10.1007/s10549-009-0375-4

Table 4.

Logistic regression model predicting an accurate self-report of no prior breast cancer (based on 463,804 women without a prior breast cancer having questionnaires from 1996–2006 in the Breast Cancer Surveillance Consortium)a

Variable OR 95% CI
Age at questionnaire, years
 18–39 1.10 0.75–1.68
 40–49 1.00
 50–59 0.78 0.67–0.92
 60–69 0.53 0.45–0.63
 70–79 0.37 0.31–0.43
 ≥80 0.24 0.20–0.29
Race/ethnicity
 White, non-Hispanic 1.00
 African American, non-Hispanic 0.78 0.59–1.04
 Hispanic 0.66 0.55–0.80
 Asian/Pacific Islander 0.59 0.49–0.71
 Native American 0.82 0.45–1.72
 Mixed/other 0.74 0.53–1.08
Education
 Some high school or less 1.00
 High school graduate 1.49 1.27–1.76
 Some college 1.58 1.33–1.87
 College or postgraduate 1.89 1.60–2.24
Family history of breast cancer
 No 1.00
 Yes 0.66 0.59–0.74
Prior breast procedure
 No 1.00
 Yes 0.15 0.13–0.16
Evidence of prior LCIS
 No 1.00
 Yes 0.02 0.01–0.02

OR, odds ratio; CI, confidence interval; LCIS, lobular carcinoma in situ.

a

Model adjusts for mammography registry in addition to all factors listed in the table.