Table 3.
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.