Early life body size and puberty markers as predictors of breast cancer risk later in life: A neural network analysis.

ABSTRACT:

Background

The early life factors of birthweight, child weight, height, body mass index (BMI) and pubertal timing are associated with risks of breast cancer. However, the predictive value of these factors in relation to breast cancer is largely unknown. Therefore, using a machine learning approach, we examined whether birthweight, childhood weights, heights, BMIs, and pubertal timing individually and in combination were predictive of breast cancer.

Methods

We used information on birthweight, childhood height and weight, and pubertal timing assessed by the onset of the growth spurt (OGS) from 164,216 girls born 1930-1996 from the Copenhagen School Health Records Register. Of these, 10,002 women were diagnosed with breast cancer during 1977-2019 according to a nationwide breas

SUBMITTER: Svendsen SMS 

PROVIDER: S-EPMC10857724 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature