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Do traditional BMI categories capture future obesity? A comparison with trajectories of BMI and incidence of cancer.

Year: 2020

Type: conference-paper

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.

Source: PubMed

Authors: Charlotte Watson, Dr Nophar Geifman

Institutions: University of Manchester, NIHR Manchester Biomedical Research Centre, Cancer Research UK Manchester Centre, RMIT University

Language: English

Topic: Cancer Risks and Factors

Subfield: Oncology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W3157149455

FWCI:

Cites: 21

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Related to: 10