Breast cancer risk prediction: an update to the Rosner-Colditz breast cancer incidence model.

ABSTRACT:

Purpose

To update and expand the Rosner-Colditz breast cancer incidence model by evaluating the contributions of more recently identified risk factors as well as predicted percent mammographic density (MD) to breast cancer risk.

Methods

Using data from the Nurses' Health Study (NHS) and NHSII, we added adolescent somatotype (9 unit scale), vegetable intake (servings/day), breastfeeding (months), physical activity (MET-h/week), and predicted percent MD to the Rosner-Colditz model to determine whether these variables improved model discrimination. We evaluated all invasive as well as ER+/PR+, ER+/PR-, and ER-/PR- breast cancer.

Results

In the NHS/NHSII, we accrued over 5200 cases of invasive breast cancer over more than 20 years of follow-up with complete data on the ri

SUBMITTER: Rice MS 

PROVIDER: S-EPMC5647223 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature