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. Author manuscript; available in PMC: 2021 Nov 11.
Published in final edited form as: Breast Cancer Res Treat. 2017 Feb 4;162(3):419–425. doi: 10.1007/s10549-017-4127-6

Table 3.

Relationship between aspirin use and dichotomized breast density as the outcome, including interactions between aspirin use and age and race.

Effect Modification by Age
OR (95% CI)* for non-dense vs. dense
Aspirin use at age 40-49 (n=7784) 0.48 (0.37 – 0.63)
Aspirin use at age 50-59 (n=7944) 0.77 (0.66 – 0.90)
Aspirin use at age 60-69 (n=6658) 0.87 (0.76 – 0.98)
Aspirin use at age ≥70 (n=3614) 0.93 (0.79 – 1.09)
Pinteraction = 0.0002**
Effect Modification by Race
OR (95% CI)* for non-dense vs. dense
Aspirin use for race = white (n=13519) 0.89 (0.80 – 0.98)
Aspirin use for race = black (n=10662) 0.70 (0.62 – 0.79)
Aspirin use for race = other (n=1819) 0.78 (0.57 – 1.08)
Pinteraction = 0.011***
*

Logistic regression results for a models with dichotomized density (dense=BI-RADS 3,4 and non-dense=BI-RADS 1,2), adjusted for age, race, and BMI.

**

Chi-square likelihood ratio test (df. = 3) comparing the logistic regression model with and without interaction between aspirin use and age.

***

Chi-square likelihood ratio test (df. 2) comparing the logistic regression model with and without interaction between aspirin use and race.