| Literature DB >> 33936505 |
Charlotte Watson1,2,3, Dr Nophar Geifman3.
Abstract
In 2016, 13 specific obesity related cancers were identified by IARC. Here, using baseline WHO BMI categories, latent profile analysis (LPA) and latent class trajectory modelling (LCTM) we evaluated the usefulness of one-off measures when predicting cancer risk vs life-course changes. Our results in LPA broadly concurred with the three basic WHO BMI categories, with similar stepwise increase in cancer risk observed. In LCTM, we identified 5 specific trajectories in men and women. Compared to the leanest class, a stepwise increase in risk for obesity related cancer was observed for all classes. When latent class membership was compared to baseline BMI, we found that the trajectories were composed of a range of BMI (baseline) categories. All methods reveal a link between obesity and the 13 cancers identified by IARC. However, the additional information included by LCTM indicates that lifetime BMI may highlight additional group of people that are at risk. ©2020 AMIA - All rights reserved.Entities:
Mesh:
Year: 2021 PMID: 33936505 PMCID: PMC8075545
Source DB: PubMed Journal: AMIA Annu Symp Proc ISSN: 1559-4076