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

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    Authors
    Watson, Charlotte
    Geifman, D. N.
    Affiliation
    Manchester Cancer Research Centre & NIHR Manchester Biomedical Research Centre, Manchester, UK
    Issue Date
    2020
    
    Metadata
    Show full item record
    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.
    Citation
    Watson C, Geifman DN. Do traditional BMI categories capture future obesity? A comparison with trajectories of BMI and incidence of cancer. AMIA Annual Symposium Proceedings. 2020. 1287-1294
    Journal
    AMIA Annual Symposium Proceedings
    URI
    http://hdl.handle.net/10541/624054
    PubMed ID
    33936505
    Type
    Meetings and Proceedings
    Language
    en
    Collections
    All Paterson Institute for Cancer Research

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