Hazard ratios (HRs) were calculated using a Cox proportional hazards regression model as the incidence rate of breast cancer among women who had an abortion before the diagnosis of breast cancer relative to the incidence rate of breast cancer among women who did not have an abortion, based on 2-year follow-up cycles.12 The HRs were adjusted for age (in months), height (continuous in meters), body mass index (BMI) at the age of 18 years (continuous; calculated as weight in kilograms divided by height in meters squared), current BMI (continuous; calculated as weight in kilograms divided by the square of height in meters), family history of breast cancer (binary), history of benign breast disease (binary), age at menarche (<11, 11, 12, 13, 14, ≥15 years), use of oral contraceptives (never, past and <5 years, past and ≥5 years, current and <5 years, current and 5-9 years, current and ≥10 years), parity (nulliparous, 1, 2, 3, ≥4 live births), age at first birth (≤24, 25-30, ≥31 years), alcohol consumption (none, <7.5, 7.5-14.9, 15-29.9, ≥30 g/d), physical activity (<3, 3-8, 9-17, 18-26, 27-41, ≥42 metabolic equivalents per week), menopausal status (premenopausal or postmenopausal), age at menopause (continuous in years), and postmenopausal hormone use (never, past, or current). Analyses were conducted examining the number of abortions, the age at first abortion, and the timing of abortion with respect to a full-term pregnancy. Trend tests were performed using the midpoints of intervals. Analyses were also stratified by parity. Effect modification was assessed by creating the cross-product terms between indicator variables of abortion categories and each potential effect modifier. We measured the significance of statistical interaction using the likelihood ratio test, comparing a model that included the cross-products that represented interaction terms and the nested model that did not include these terms. Separate analyses were performed for estrogen receptor–positive (ER+) and estrogen receptor–negative (ER−) and for progesterone receptor–positive (PR+) and progesterone receptor–negative (PR−) breast cancer. We used polychotomous logistic regression with 3 outcome categories (ER+ breast cancer, ER− breast cancer, and no breast cancer or PR+ breast cancer, PR− breast cancer, and no breast cancer) to evaluate the association between induced and spontaneous abortion and breast cancer subtypes defined by ER and PR status. Likelihood ratio tests with 1 df were used to compare a model with different slopes for each outcome with a model with a common slope. We used χ2 tests to obtain 2-sided P values for the likelihood ratio statistics.13