RT Journal Article
T1 A Nested Case-Control Study of Metabolically Defined Body Size Phenotypes and Risk of Colorectal Cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC).
A1 Murphy, Neil
A1 Cross, Amanda J
A1 Abubakar, Mustapha
A1 Jenab, Mazda
A1 Aleksandrova, Krasimira
A1 Boutron-Ruault, Marie-Christine
A1 Dossus, Laure
A1 Racine, Antoine
A1 Kühn, Tilman
A1 Katzke, Verena A
A1 Tjønneland, Anne
A1 Petersen, Kristina E N
A1 Overvad, Kim
A1 Quirós, J Ramón
A1 Jakszyn, Paula
A1 Molina-Montes, Esther
A1 Dorronsoro, Miren
A1 Huerta, José-María
A1 Barricarte, Aurelio
A1 Khaw, Kay-Tee
A1 Wareham, Nick
A1 Travis, Ruth C
A1 Trichopoulou, Antonia
A1 Lagiou, Pagona
A1 Trichopoulos, Dimitrios
A1 Masala, Giovanna
A1 Krogh, Vittorio
A1 Tumino, Rosario
A1 Vineis, Paolo
A1 Panico, Salvatore
A1 Bueno-de-Mesquita, H Bas
A1 Siersema, Peter D
A1 Peeters, Petra H
A1 Ohlsson, Bodil
A1 Ericson, Ulrika
A1 Palmqvist, Richard
A1 Nyström, Hanna
A1 Weiderpass, Elisabete
A1 Skeie, Guri
A1 Freisling, Heinz
A1 Kong, So Yeon
A1 Tsilidis, Kostas
A1 Muller, David C
A1 Riboli, Elio
A1 Gunter, Marc J
AB Obesity is positively associated with colorectal cancer. Recently, body size subtypes categorised by the prevalence of hyperinsulinaemia have been defined, and metabolically healthy overweight/obese individuals (without hyperinsulinaemia) have been suggested to be at lower risk of cardiovascular disease than their metabolically unhealthy (hyperinsulinaemic) overweight/obese counterparts. Whether similarly variable relationships exist for metabolically defined body size phenotypes and colorectal cancer risk is unknown. The association of metabolically defined body size phenotypes with colorectal cancer was investigated in a case-control study nested within the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Metabolic health/body size phenotypes were defined according to hyperinsulinaemia status using serum concentrations of C-peptide, a marker of insulin secretion. A total of 737 incident colorectal cancer cases and 737 matched controls were divided into tertiles based on the distribution of C-peptide concentration amongst the control population, and participants were classified as metabolically healthy if below the first tertile of C-peptide and metabolically unhealthy if above the first tertile. These metabolic health definitions were then combined with body mass index (BMI) measurements to create four metabolic health/body size phenotype categories: (1) metabolically healthy/normal weight (BMI  These results support the idea that individuals with the metabolically healthy/overweight phenotype (with normal insulin levels) are at lower colorectal cancer risk than those with hyperinsulinaemia. The combination of anthropometric measures with metabolic parameters, such as C-peptide, may be useful for defining strata of the population at greater risk of colorectal cancer.
YR 2016
FD 2016-04-05
LK http://hdl.handle.net/10668/9970
UL http://hdl.handle.net/10668/9970
LA en
DS RISalud
RD Apr 7, 2025