Now showing items 1-3 of 3

    • Characterization of the degree of food processing in the European Prospective Investigation into Cancer and Nutrition: Application of the Nova classification and validation using selected biomarkers of food processing 

      Huybrechts, Inge; Rauber, Fernanda; Nicolas, Geneviève; Casagrande, Corinne; Kliemann, Nathalie; Wedekind, Roland; Biessy, Carine; Scalbert, Augustin; Touvier, Mathilde; Aleksandrova, Krasimira; Jakszyn, Paula; Skeie, Guri; Bajracharya, Rashmita; Boer, Jolanda M. A.; Borné, Yan; Chajes, Veronique; Dahm, Christina C.; Dansero, Lucia; Guevara, Marcela; Heath, Alicia K.; Ibsen, Daniel B.; Papier, Keren; Katzke, Verena; Kyrø, Cecilie; Masala, Giovanna; Molina-Montes, Esther; Robinson, Oliver J. K.; Santiuste de Pablos, Carmen; Schulze, Matthias B.; Simeon, Vittorio; Sonestedt, Emily; Tjønneland, Anne; Tumino, Rosario; van der Schouw, Yvonne T.; Verschuren, W. M. Monique; Vozar, Beatrice; Winkvist, Anna; Gunter, Marc J.; Monteiro, Carlos A.; Millett, Christopher; Levy, Renata Bertazzi (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-12-16)
      Background: Epidemiological studies have demonstrated an association between the degree of food processing in our diet and the risk of various chronic diseases. Much of this evidence is based on the international Nova classification system, which classifies food into four groups based on the type of processing: (1) Unprocessed and minimally processed foods, (2) Processed culinary ingredients, ...
    • Food processing and cancer risk in Europe: results from the prospective EPIC cohort study 

      Kliemann, Nathalie; Rauber, Fernanda; Bertazzi Levy, Renata; Viallon, Vivian; Vamos, Eszter P; Cordova, Reynalda; Freisling, Heinz; Casagrande, Corinne; Nicolas, Genevieve; Aune, Dagfinn; Tsilidis, Konstantinos K; Heath, Alicia; Schulze, Matthias B; Jannasch, Franziska; Srour, Bernard; Kaaks, Rudolf; Rodriguez-Barranco, Miguel; Tagliabue, Giovanna; Agudo, Antonio; Panico, Salvatore; Ardanaz, Eva; Chirlaque, María-Dolores; Vineis, Paolo; Tumino, Rosario; Perez-Cornago, Aurora; Andersen, Julie Louise Munk; Tjønneland, Anne; Skeie, Guri; Weiderpass, Elisabete; Monteiro, Carlos Augusto; Gunter, Marc J; Millett, Christopher; Huybrechts, Inge (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-03-06)
      Background - Food processing has been hypothesised to play a role in cancer development; however, data from large-scale epidemiological studies are scarce. This study investigated the association between dietary intake according to amount of food processing and risk of cancer at 25 anatomical sites using data from the European Prospective Investigation into Cancer and Nutrition (EPIC) study.<p> ...
    • Ultra-processed foods, adiposity and risk of head and neck cancer and oesophageal adenocarcinoma in the European Prospective Investigation into Cancer and Nutrition study: a mediation analysis 

      Morales-Berstein, Fernanda; Biessy, Carine; Viallon, Vivian; Goncalves-Soares, Ana; Casagrande, Corinne; Hémon, Bertrand; Kliemann, Nathalie; Cairat, Manon; Blanco Lopez, Jessica; Al Nahas, Aline; Chang, Kiara; Vamos, Eszter; Rauber, Fernanda; Bertazzi Levy, Renata; Barbosa Cunha, Diana; Jakszyn, Paula; Ferrari, Pietro; Vineis, Paolo; Masala, Giovanna; Catalano, Alberto; Sonestedt, Emily; Borné, Yan; Katzke, Verena; Bajracharya, Rashmita; Agnoli, Claudia; Guevara, Marcela; Heath, Alicia; Radoï, Loredana; Mancini, Francesca; Weiderpass Vainio, Elisabete; Huerta, José María; Sánchez, María-José; Tjønneland, Anne; Kyrø, Cecilie; Schulze, Matthias B.; Skeie, Guri; Lukic, Marko; Braaten, Tonje Bjørndal; Gunter, Marc; Millett, Christopher; Agudo, Antonio; Brennan, Paul; Borges, M. Carolina; Richmond, Rebecca C.; Richardson, Tom G.; Davey Smith, George; Relton, Caroline L.; Huybrechts, Inge (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-11-22)
      Purpose - To investigate the role of adiposity in the associations between ultra-processed food (UPF) consumption and head and neck cancer (HNC) and oesophageal adenocarcinoma (OAC) in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort.<p> <p>Methods - Our study included 450,111 EPIC participants. We used Cox regressions to investigate the associations between the ...