Literature DB >> 33936505

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

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.

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Year:  2021        PMID: 33936505      PMCID: PMC8075545     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  21 in total

1.  Mental health of preschool children and their mothers in a mixed urban/rural population. III. Latent variable models.

Authors:  J Stevenson; M J Thompson; E Sonuga-Barke
Journal:  Br J Psychiatry       Date:  1996-01       Impact factor: 9.319

Review 2.  Association between Body Mass Index and Cancer Survival in a Pooled Analysis of 22 Clinical Trials.

Authors:  Heather Greenlee; Joseph M Unger; Michael LeBlanc; Scott Ramsey; Dawn L Hershman
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2016-12-16       Impact factor: 4.254

3.  Body-mass index and mortality among 1.46 million white adults.

Authors:  Amy Berrington de Gonzalez; Patricia Hartge; James R Cerhan; Alan J Flint; Lindsay Hannan; Robert J MacInnis; Steven C Moore; Geoffrey S Tobias; Hoda Anton-Culver; Laura Beane Freeman; W Lawrence Beeson; Sandra L Clipp; Dallas R English; Aaron R Folsom; D Michal Freedman; Graham Giles; Niclas Hakansson; Katherine D Henderson; Judith Hoffman-Bolton; Jane A Hoppin; Karen L Koenig; I-Min Lee; Martha S Linet; Yikyung Park; Gaia Pocobelli; Arthur Schatzkin; Howard D Sesso; Elisabete Weiderpass; Bradley J Willcox; Alicja Wolk; Anne Zeleniuch-Jacquotte; Walter C Willett; Michael J Thun
Journal:  N Engl J Med       Date:  2010-12-02       Impact factor: 91.245

4.  Design and serendipity in establishing a large cohort with wide dietary intake distributions : the National Institutes of Health-American Association of Retired Persons Diet and Health Study.

Authors:  A Schatzkin; A F Subar; F E Thompson; L C Harlan; J Tangrea; A R Hollenbeck; P E Hurwitz; L Coyle; N Schussler; D S Michaud; L S Freedman; C C Brown; D Midthune; V Kipnis
Journal:  Am J Epidemiol       Date:  2001-12-15       Impact factor: 4.897

5.  Body fat distribution, weight change during adulthood, and thyroid cancer risk in the NIH-AARP Diet and Health Study.

Authors:  Cari M Kitahara; Elizabeth A Platz; Yikyung Park; Albert R Hollenbeck; Arthur Schatzkin; Amy Berrington de González
Journal:  Int J Cancer       Date:  2011-08-02       Impact factor: 7.396

Review 6.  A comparison of direct vs. self-report measures for assessing height, weight and body mass index: a systematic review.

Authors:  S Connor Gorber; M Tremblay; D Moher; B Gorber
Journal:  Obes Rev       Date:  2007-07       Impact factor: 9.213

7.  Cancer incidence and mortality in relation to body mass index in the Million Women Study: cohort study.

Authors:  Gillian K Reeves; Kirstin Pirie; Valerie Beral; Jane Green; Elizabeth Spencer; Diana Bull
Journal:  BMJ       Date:  2007-11-06

Review 8.  Body-mass index and incidence of cancer: a systematic review and meta-analysis of prospective observational studies.

Authors:  Andrew G Renehan; Margaret Tyson; Matthias Egger; Richard F Heller; Marcel Zwahlen
Journal:  Lancet       Date:  2008-02-16       Impact factor: 79.321

9.  Framework to construct and interpret latent class trajectory modelling.

Authors:  Hannah Lennon; Scott Kelly; Matthew Sperrin; Iain Buchan; Amanda J Cross; Michael Leitzmann; Michael B Cook; Andrew G Renehan
Journal:  BMJ Open       Date:  2018-07-07       Impact factor: 2.692

10.  Data-driven identification of endophenotypes of Alzheimer's disease progression: implications for clinical trials and therapeutic interventions.

Authors:  Nophar Geifman; Richard E Kennedy; Lon S Schneider; Iain Buchan; Roberta Diaz Brinton
Journal:  Alzheimers Res Ther       Date:  2018-01-15       Impact factor: 6.982

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