Back to Search Start Over

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)

Authors :
Murphy, Neil Cross, Amanda J. Abubakar, Mustapha Jenab, Mazda Aleksandrova, Krasimira Boutron-Ruault, Marie-Christine and Dossus, Laure Racine, Antoine Kuehn, Tilman Katzke, Verena A. Tjonneland, Anne Petersen, Kristina E. N. Overvad, Kim Ramon Quiros, J. Jakszyn, Paula Molina-Montes, Esther and Dorronsoro, Miren Huerta, Jose-Maria Barricarte, Aurelio and Khaw, Kay-Tee Wareham, Nick Travis, Ruth C. Trichopoulou, Antonia Lagiou, Pagona Trichopoulos, Dimitrios Masala, Giovanna Krogh, Vittorio Tumino, Rosario Vineis, Paolo and Panico, Salvatore Bueno-de-Mesquita, H. Bas Siersema, Peter D. and Peeters, Petra H. Ohlsson, Bodil Ericson, Ulrika and Palmqvist, Richard Nystrom, Hanna Weiderpass, Elisabete and Skeie, Guri Freisling, Heinz Kong, So Yeon Tsilidis, Kostas and Muller, David C. Riboli, Elio Gunter, Marc J.
Publication Year :
2016

Abstract

Background 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. Methods and Findings 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 < 25 kg/m(2)), (2) metabolically healthy/overweight (BMI >= 25 kg/m2), (3) metabolically unhealthy/normal weight (BMI < 25 kg/m2), and (4) metabolically unhealthy/overweight (BMI >= 25 kg/m2). Additionally, in separate models, waist circumference measurements (using the International Diabetes Federation cut-points [>= 80 cm for women and >= 94 cm for men]) were used (instead of BMI) to create the four metabolic health/body size phenotype categories. Statistical tests used in the analysis were all two-sided, and a p-value of

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.od......2127..eada0a99716779aa9995df896f6480b1