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dc.contributor.authorWatson, Charlotte
dc.contributor.authorGeifman, D. N.
dc.date.accessioned2021-05-18T08:48:17Z
dc.date.available2021-05-18T08:48:17Z
dc.date.issued2020en
dc.identifier.citationWatson 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. 1287-1294en
dc.identifier.pmid33936505en
dc.identifier.urihttp://hdl.handle.net/10541/624054
dc.description.abstractIn 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.en
dc.language.isoenen
dc.titleDo traditional BMI categories capture future obesity? A comparison with trajectories of BMI and incidence of canceren
dc.typeMeetings and Proceedingsen
dc.contributor.departmentManchester Cancer Research Centre & NIHR Manchester Biomedical Research Centre, Manchester, UKen
dc.identifier.journalAMIA Annual Symposium Proceedingsen
dc.description.noteen


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