RT Journal Article
T1 Body shape phenotypes of multiple anthropometric traits and cancer risk: a multi-national cohort study
A1 Sedlmeier, Anja M. M.
A1 Viallon, Vivian
A1 Ferrari, Pietro
A1 Peruchet-Noray, Laia
A1 Fontvieille, Emma
A1 Amadou, Amina
A1 Seyed Khoei, Nazlisadat
A1 Weber, Andrea
A1 Baurecht, Hansjoerg
A1 Heath, Alicia K. K.
A1 Tsilidis, Kostas
A1 Kaaks, Rudolf
A1 Katzke, Verena
A1 Inan-Eroglu, Elif
A1 Schulze, Matthias B. B.
A1 Overvad, Kim
A1 Bonet, Catalina
A1 Ubago-Guisado, Esther
A1 Chirlaque, Maria-Dolores
A1 Ardanaz, Eva
A1 Perez-Cornago, Aurora
A1 Pala, Valeria
A1 Tumino, Rosario
A1 Sacerdote, Carlotta
A1 Pasanisi, Fabrizio
A1 Borch, Kristin B. B.
A1 Rylander, Charlotta
A1 Weiderpass, Elisabete
A1 Gunter, Marc J. J.
A1 Fervers, Beatrice
A1 Leitzmann, Michael F. F.
A1 Freisling, Heinz
K1 Physical-activity
K1 Height
K1 Obesity
K1 Esophageal
K1 Nutrition
K1 Adenocarcinoma
K1 Metaanalysis
K1 Validity
K1 Weight
K1 Fat
AB Background: Classical anthropometric traits may fail to fully represent the relationship of weight, adiposity, and height with cancer risk. We investigated the associations of body shape phenotypes with the risk of overall and site-specific cancers. Methods: We derived four distinct body shape phenotypes from principal component (PC) analysis on height, weight, body mass index (BMI), waist (WC) and hip circumferences (HC), and waist-to-hip ratio (WHR). The study included 340,152 men and women from 9 European countries, aged mostly 35-65 years at recruitment (1990-2000) in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Cox proportional hazards regression was used to estimate multivariable-adjusted hazard ratios (HRs) and 95% confidence intervals (CIs). Results: After a median follow-up of 15.3 years, 47,110 incident cancer cases were recorded. PC1 (overall adiposity) was positively associated with the risk of overall cancer, with a HR per 1 standard deviation (SD) increment equal to 1.07 (95% confidence interval 1.05 to 1.08). Positive associations were observed with 10 cancer types, with HRs (per 1 SD) ranging from 1.36 (1.30-1.42) for endometrial cancer to 1.08 (1.03-1.13) for rectal cancer. PC2 (tall stature with low WHR) was positively associated with the risk of overall cancer (1.03; 1.02-1.04) and five cancer types which were not associated with PC1. PC3 (tall stature with high WHR) was positively associated with the risk of overall cancer (1.04; 1.03-1.05) and 12 cancer types. PC4 (high BMI and weight with low WC and HC) was not associated with overall risk of cancer (1.00; 0.99-1.01). Conclusions: In this multi-national study, distinct body shape phenotypes were positively associated with the incidence of 17 different cancers and overall cancer.
PB Nature Publishing Group
SN 0007-0920
YR 2022
FD 2022-11-14
LK http://hdl.handle.net/10668/19524
UL http://hdl.handle.net/10668/19524
LA en
NO Sedlmeier AM, Viallon V, Ferrari P, Peruchet-Noray L, Fontvieille E, Amadou A, et al. Body shape phenotypes of multiple anthropometric traits and cancer risk: a multi-national cohort study. Br J Cancer. 2023 Feb;128(4):594-605.
DS RISalud
RD Apr 7, 2025