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Dataset Information

Development and validation of a lifestyle-based model for colorectal cancer risk prediction: the LiFeCRC score.


ABSTRACT:

Background

Nutrition and lifestyle have been long established as risk factors for colorectal cancer (CRC). Modifiable lifestyle behaviours bear potential to minimize long-term CRC risk; however, translation of lifestyle information into individualized CRC risk assessment has not been implemented. Lifestyle-based risk models may aid the identification of high-risk individuals, guide referral to screening and motivate behaviour change. We therefore developed and validated a lifestyle-based CRC risk prediction algorithm in an asymptomatic European population.

Methods

The model was based on data from 255,482 participants in the European Prospective Investigation into Cancer and Nutrition (EPIC) study aged 19 to 70 years who were free of cancer at study baseline (1992-2000) and w

SUBMITTER: Aleksandrova K 

PROVIDER: S-EPMC7780676 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature