Author: "Bueno-de-Mesquita, H.B." - Searchworks@Jio Institute Digital Library Search Results

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396 results on '"Bueno-de-Mesquita, H.B."'

1. Exocrine Pancreatic Cancer

Author: Bueno-de-Mesquita, H.B., primary, van Kranen, Henk J., additional, Appel, Marko Jan, additional, and Woutersen, Ruud A., additional
Published: 2021
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2. The role of plasma microseminoprotein-beta in prostate cancer: an observational nested case–control and Mendelian randomization study in the European prospective investigation into cancer and nutrition

Author: Smith Byrne, K., Appleby, P.N., Key, T.J., Holmes, M.V., Fensom, G.K., Agudo, A., Ardanaz, E., Boeing, H., Bueno-de-Mesquita, H.B., Chirlaque, M.D., Kaaks, R., Larrañaga, N., Palli, D., Perez-Cornago, A., Quirós, J.R., Ricceri, F., Sánchez, M.J., Tagliabue, G., Tsilidis, K.K., Tumino, R., Fortner, R.T., Ferrari, P., Riboli, E., Lilja, H., and Travis, R.C.
Published: 2019
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3. A prospective evaluation of plasma phospholipid fatty acids and breast cancer risk in the EPIC study

Author: Chajès, V., Assi, N., Biessy, C., Ferrari, P., Rinaldi, S., Slimani, N., Lenoir, G.M., Baglietto, L., His, M., Boutron-Ruault, M.C., Trichopoulou, A., Lagiou, P., Katsoulis, M., Kaaks, R., Kühn, T., Panico, S., Pala, V., Masala, G., Bueno-de-Mesquita, H.B., Peeters, P.H., van Gils, C., Hjartåker, A., Standahl Olsen, K., Borgund Barnung, R., Barricarte, A., Redondo-Sanchez, D., Menéndez, V., Amiano, P., Wennberg, M., Key, T., Khaw, K.T., Merritt, M.A., Riboli, E., Gunter, M.J., and Romieu, I.
Published: 2017
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4. Plasma levels of OPN (ng/ml) in HCC Cases and matched Controls. from Circulating Osteopontin and Prediction of Hepatocellular Carcinoma Development in a Large European Population

Author: Duarte-Salles, Talita, primary, Misra, Sandeep, primary, Stepien, Magdalena, primary, Plymoth, Amelie, primary, Muller, David, primary, Overvad, Kim, primary, Olsen, Anja, primary, Tjønneland, Anne, primary, Baglietto, Laura, primary, Severi, Gianluca, primary, Boutron-Ruault, Marie-Christine, primary, Turzanski-Fortner, Renee, primary, Kaaks, Rudolf, primary, Boeing, Heiner, primary, Aleksandrova, Krasimira, primary, Trichopoulou, Antonia, primary, Lagiou, Pagona, primary, Bamia, Christina, primary, Pala, Valeria, primary, Palli, Domenico, primary, Mattiello, Amalia, primary, Tumino, Rosario, primary, Naccarati, Alessio, primary, Bueno-de-Mesquita, H.B(as)., primary, Peeters, Petra H., primary, Weiderpass, Elisabete, primary, Quirós, J. Ramón, primary, Agudo, Antonio, primary, Sánchez-Cantalejo, Emilio, primary, Ardanaz, Eva, primary, Gavrila, Diana, primary, Dorronsoro, Miren, primary, Werner, Mårten, primary, Hemmingsson, Oskar, primary, Ohlsson, Bodil, primary, Sjöberg, Klas, primary, Wareham, Nicholas J., primary, Khaw, Kay-Tee, primary, Bradbury, Kathryn E., primary, Gunter, Marc J., primary, Cross, Amanda J., primary, Riboli, Elio, primary, Jenab, Mazda, primary, Hainaut, Pierre, primary, and Beretta, Laura, primary
Published: 2023
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5. Data from Circulating RANKL and RANKL/OPG and Breast Cancer Risk by ER and PR Subtype: Results from the EPIC Cohort

Author: Sarink, Danja, primary, Schock, Helena, primary, Johnson, Theron, primary, Overvad, Kim, primary, Holm, Marianne, primary, Tjønneland, Anne, primary, Boutron-Ruault, Marie-Christine, primary, His, Mathilde, primary, Kvaskoff, Marina, primary, Boeing, Heiner, primary, Lagiou, Pagona, primary, Papatesta, Eleni-Maria, primary, Trichopoulou, Antonia, primary, Palli, Domenico, primary, Pala, Valeria, primary, Mattiello, Amalia, primary, Tumino, Rosario, primary, Sacerdote, Carlotta, primary, Bueno-de-Mesquita, H.B(as)., primary, van Gils, Carla H., primary, Peeters, Petra H., primary, Weiderpass, Elisabete, primary, Agudo, Antonio, primary, Sánchez, Maria-José, primary, Chirlaque, Maria-Dolores, primary, Ardanaz, Eva, primary, Amiano, Pilar, primary, Khaw, Kay Tee, primary, Travis, Ruth, primary, Dossus, Laure, primary, Gunter, Mark, primary, Rinaldi, Sabina, primary, Merritt, Melissa, primary, Riboli, Elio, primary, Kaaks, Rudolf, primary, and Fortner, Renée T., primary
Published: 2023
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6. Data from Circulating Osteopontin and Prediction of Hepatocellular Carcinoma Development in a Large European Population

Author: Duarte-Salles, Talita, primary, Misra, Sandeep, primary, Stepien, Magdalena, primary, Plymoth, Amelie, primary, Muller, David, primary, Overvad, Kim, primary, Olsen, Anja, primary, Tjønneland, Anne, primary, Baglietto, Laura, primary, Severi, Gianluca, primary, Boutron-Ruault, Marie-Christine, primary, Turzanski-Fortner, Renee, primary, Kaaks, Rudolf, primary, Boeing, Heiner, primary, Aleksandrova, Krasimira, primary, Trichopoulou, Antonia, primary, Lagiou, Pagona, primary, Bamia, Christina, primary, Pala, Valeria, primary, Palli, Domenico, primary, Mattiello, Amalia, primary, Tumino, Rosario, primary, Naccarati, Alessio, primary, Bueno-de-Mesquita, H.B(as)., primary, Peeters, Petra H., primary, Weiderpass, Elisabete, primary, Quirós, J. Ramón, primary, Agudo, Antonio, primary, Sánchez-Cantalejo, Emilio, primary, Ardanaz, Eva, primary, Gavrila, Diana, primary, Dorronsoro, Miren, primary, Werner, Mårten, primary, Hemmingsson, Oskar, primary, Ohlsson, Bodil, primary, Sjöberg, Klas, primary, Wareham, Nicholas J., primary, Khaw, Kay-Tee, primary, Bradbury, Kathryn E., primary, Gunter, Marc J., primary, Cross, Amanda J., primary, Riboli, Elio, primary, Jenab, Mazda, primary, Hainaut, Pierre, primary, and Beretta, Laura, primary
Published: 2023
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7. Supplementary Figures Legends from Circulating Osteopontin and Prediction of Hepatocellular Carcinoma Development in a Large European Population

Author: Duarte-Salles, Talita, primary, Misra, Sandeep, primary, Stepien, Magdalena, primary, Plymoth, Amelie, primary, Muller, David, primary, Overvad, Kim, primary, Olsen, Anja, primary, Tjønneland, Anne, primary, Baglietto, Laura, primary, Severi, Gianluca, primary, Boutron-Ruault, Marie-Christine, primary, Turzanski-Fortner, Renee, primary, Kaaks, Rudolf, primary, Boeing, Heiner, primary, Aleksandrova, Krasimira, primary, Trichopoulou, Antonia, primary, Lagiou, Pagona, primary, Bamia, Christina, primary, Pala, Valeria, primary, Palli, Domenico, primary, Mattiello, Amalia, primary, Tumino, Rosario, primary, Naccarati, Alessio, primary, Bueno-de-Mesquita, H.B(as)., primary, Peeters, Petra H., primary, Weiderpass, Elisabete, primary, Quirós, J. Ramón, primary, Agudo, Antonio, primary, Sánchez-Cantalejo, Emilio, primary, Ardanaz, Eva, primary, Gavrila, Diana, primary, Dorronsoro, Miren, primary, Werner, Mårten, primary, Hemmingsson, Oskar, primary, Ohlsson, Bodil, primary, Sjöberg, Klas, primary, Wareham, Nicholas J., primary, Khaw, Kay-Tee, primary, Bradbury, Kathryn E., primary, Gunter, Marc J., primary, Cross, Amanda J., primary, Riboli, Elio, primary, Jenab, Mazda, primary, Hainaut, Pierre, primary, and Beretta, Laura, primary
Published: 2023
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8. Cubic spline for the association between OPN levels and HCC from Circulating Osteopontin and Prediction of Hepatocellular Carcinoma Development in a Large European Population

Author: Duarte-Salles, Talita, primary, Misra, Sandeep, primary, Stepien, Magdalena, primary, Plymoth, Amelie, primary, Muller, David, primary, Overvad, Kim, primary, Olsen, Anja, primary, Tjønneland, Anne, primary, Baglietto, Laura, primary, Severi, Gianluca, primary, Boutron-Ruault, Marie-Christine, primary, Turzanski-Fortner, Renee, primary, Kaaks, Rudolf, primary, Boeing, Heiner, primary, Aleksandrova, Krasimira, primary, Trichopoulou, Antonia, primary, Lagiou, Pagona, primary, Bamia, Christina, primary, Pala, Valeria, primary, Palli, Domenico, primary, Mattiello, Amalia, primary, Tumino, Rosario, primary, Naccarati, Alessio, primary, Bueno-de-Mesquita, H.B(as)., primary, Peeters, Petra H., primary, Weiderpass, Elisabete, primary, Quirós, J. Ramón, primary, Agudo, Antonio, primary, Sánchez-Cantalejo, Emilio, primary, Ardanaz, Eva, primary, Gavrila, Diana, primary, Dorronsoro, Miren, primary, Werner, Mårten, primary, Hemmingsson, Oskar, primary, Ohlsson, Bodil, primary, Sjöberg, Klas, primary, Wareham, Nicholas J., primary, Khaw, Kay-Tee, primary, Bradbury, Kathryn E., primary, Gunter, Marc J., primary, Cross, Amanda J., primary, Riboli, Elio, primary, Jenab, Mazda, primary, Hainaut, Pierre, primary, and Beretta, Laura, primary
Published: 2023
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9. Supplementary Tables 1-6 from Circulating RANKL and RANKL/OPG and Breast Cancer Risk by ER and PR Subtype: Results from the EPIC Cohort

Author: Sarink, Danja, primary, Schock, Helena, primary, Johnson, Theron, primary, Overvad, Kim, primary, Holm, Marianne, primary, Tjønneland, Anne, primary, Boutron-Ruault, Marie-Christine, primary, His, Mathilde, primary, Kvaskoff, Marina, primary, Boeing, Heiner, primary, Lagiou, Pagona, primary, Papatesta, Eleni-Maria, primary, Trichopoulou, Antonia, primary, Palli, Domenico, primary, Pala, Valeria, primary, Mattiello, Amalia, primary, Tumino, Rosario, primary, Sacerdote, Carlotta, primary, Bueno-de-Mesquita, H.B(as)., primary, van Gils, Carla H., primary, Peeters, Petra H., primary, Weiderpass, Elisabete, primary, Agudo, Antonio, primary, Sánchez, Maria-José, primary, Chirlaque, Maria-Dolores, primary, Ardanaz, Eva, primary, Amiano, Pilar, primary, Khaw, Kay Tee, primary, Travis, Ruth, primary, Dossus, Laure, primary, Gunter, Mark, primary, Rinaldi, Sabina, primary, Merritt, Melissa, primary, Riboli, Elio, primary, Kaaks, Rudolf, primary, and Fortner, Renée T., primary
Published: 2023
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10. Supplementary Tables from Circulating Osteopontin and Prediction of Hepatocellular Carcinoma Development in a Large European Population

Author: Duarte-Salles, Talita, primary, Misra, Sandeep, primary, Stepien, Magdalena, primary, Plymoth, Amelie, primary, Muller, David, primary, Overvad, Kim, primary, Olsen, Anja, primary, Tjønneland, Anne, primary, Baglietto, Laura, primary, Severi, Gianluca, primary, Boutron-Ruault, Marie-Christine, primary, Turzanski-Fortner, Renee, primary, Kaaks, Rudolf, primary, Boeing, Heiner, primary, Aleksandrova, Krasimira, primary, Trichopoulou, Antonia, primary, Lagiou, Pagona, primary, Bamia, Christina, primary, Pala, Valeria, primary, Palli, Domenico, primary, Mattiello, Amalia, primary, Tumino, Rosario, primary, Naccarati, Alessio, primary, Bueno-de-Mesquita, H.B(as)., primary, Peeters, Petra H., primary, Weiderpass, Elisabete, primary, Quirós, J. Ramón, primary, Agudo, Antonio, primary, Sánchez-Cantalejo, Emilio, primary, Ardanaz, Eva, primary, Gavrila, Diana, primary, Dorronsoro, Miren, primary, Werner, Mårten, primary, Hemmingsson, Oskar, primary, Ohlsson, Bodil, primary, Sjöberg, Klas, primary, Wareham, Nicholas J., primary, Khaw, Kay-Tee, primary, Bradbury, Kathryn E., primary, Gunter, Marc J., primary, Cross, Amanda J., primary, Riboli, Elio, primary, Jenab, Mazda, primary, Hainaut, Pierre, primary, and Beretta, Laura, primary
Published: 2023
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11. Supplementary Table 2 from Leukocyte Telomere Length in Relation to Pancreatic Cancer Risk: A Prospective Study

Author: Campa, Daniele, primary, Mergarten, Björn, primary, De Vivo, Immaculata, primary, Boutron-Ruault, Marie-Christine, primary, Racine, Antoine, primary, Severi, Gianluca, primary, Nieters, Alexandra, primary, Katzke, Verena A., primary, Trichopoulou, Antonia, primary, Yiannakouris, Nikos, primary, Trichopoulos, Dimitrios, primary, Boeing, Heiner, primary, Quirós, J. Ramón, primary, Duell, Eric J., primary, Molina-Montes, Esther, primary, Huerta, José María, primary, Ardanaz, Eva, primary, Dorronsoro, Miren, primary, Khaw, Kay-Tee, primary, Wareham, Nicholas, primary, Travis, Ruth C., primary, Palli, Domenico, primary, Pala, Valeria, primary, Tumino, Rosario, primary, Naccarati, Alessio, primary, Panico, Salvatore, primary, Vineis, Paolo, primary, Riboli, Elio, primary, Siddiq, Afshan, primary, Bueno-de-Mesquita, H.B., primary, Peeters, Petra H., primary, Nilsson, Peter M., primary, Sund, Malin, primary, Ye, Weimin, primary, Lund, Eiliv, primary, Jareid, Mie, primary, Weiderpass, Elisabete, primary, Duarte-Salles, Talita, primary, Kong, So Yeon, primary, Stepien, Magdalena, primary, Canzian, Federico, primary, and Kaaks, Rudolf, primary
Published: 2023
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12. Supplementary Table 1 from Leukocyte Telomere Length in Relation to Pancreatic Cancer Risk: A Prospective Study

Author: Campa, Daniele, primary, Mergarten, Björn, primary, De Vivo, Immaculata, primary, Boutron-Ruault, Marie-Christine, primary, Racine, Antoine, primary, Severi, Gianluca, primary, Nieters, Alexandra, primary, Katzke, Verena A., primary, Trichopoulou, Antonia, primary, Yiannakouris, Nikos, primary, Trichopoulos, Dimitrios, primary, Boeing, Heiner, primary, Quirós, J. Ramón, primary, Duell, Eric J., primary, Molina-Montes, Esther, primary, Huerta, José María, primary, Ardanaz, Eva, primary, Dorronsoro, Miren, primary, Khaw, Kay-Tee, primary, Wareham, Nicholas, primary, Travis, Ruth C., primary, Palli, Domenico, primary, Pala, Valeria, primary, Tumino, Rosario, primary, Naccarati, Alessio, primary, Panico, Salvatore, primary, Vineis, Paolo, primary, Riboli, Elio, primary, Siddiq, Afshan, primary, Bueno-de-Mesquita, H.B., primary, Peeters, Petra H., primary, Nilsson, Peter M., primary, Sund, Malin, primary, Ye, Weimin, primary, Lund, Eiliv, primary, Jareid, Mie, primary, Weiderpass, Elisabete, primary, Duarte-Salles, Talita, primary, Kong, So Yeon, primary, Stepien, Magdalena, primary, Canzian, Federico, primary, and Kaaks, Rudolf, primary
Published: 2023
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13. Supplemental Material and Methods, Tables S1-S6, Figure S1 from Investigation of Dietary Factors and Endometrial Cancer Risk Using a Nutrient-wide Association Study Approach in the EPIC and Nurses' Health Study (NHS) and NHSII

Author: Merritt, Melissa A., primary, Tzoulaki, Ioanna, primary, Tworoger, Shelley S., primary, De Vivo, Immaculata, primary, Hankinson, Susan E., primary, Fernandes, Judy, primary, Tsilidis, Konstantinos K., primary, Weiderpass, Elisabete, primary, Tjønneland, Anne, primary, Petersen, Kristina E.N., primary, Dahm, Christina C., primary, Overvad, Kim, primary, Dossus, Laure, primary, Boutron-Ruault, Marie-Christine, primary, Fagherazzi, Guy, primary, Fortner, Renée T., primary, Kaaks, Rudolf, primary, Aleksandrova, Krasimira, primary, Boeing, Heiner, primary, Trichopoulou, Antonia, primary, Bamia, Christina, primary, Trichopoulos, Dimitrios, primary, Palli, Domenico, primary, Grioni, Sara, primary, Tumino, Rosario, primary, Sacerdote, Carlotta, primary, Mattiello, Amalia, primary, Bueno-de-Mesquita, H.B(as)., primary, Onland-Moret, N. Charlotte, primary, Peeters, Petra H., primary, Gram, Inger T., primary, Skeie, Guri, primary, Quirós, J. Ramón, primary, Duell, Eric J., primary, Sánchez, María-José, primary, Salmerón, D., primary, Barricarte, Aurelio, primary, Chamosa, Saioa, primary, Ericson, Ulrica, primary, Sonestedt, Emily, primary, Nilsson, Lena Maria, primary, Idahl, Annika, primary, Khaw, Kay-Tee, primary, Wareham, Nicholas, primary, Travis, Ruth C., primary, Rinaldi, Sabina, primary, Romieu, Isabelle, primary, Patel, Chirag J., primary, Riboli, Elio, primary, and Gunter, Marc J., primary
Published: 2023
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14. Supplementary Figure 1 from Leukocyte Telomere Length in Relation to Pancreatic Cancer Risk: A Prospective Study

Author: Campa, Daniele, primary, Mergarten, Björn, primary, De Vivo, Immaculata, primary, Boutron-Ruault, Marie-Christine, primary, Racine, Antoine, primary, Severi, Gianluca, primary, Nieters, Alexandra, primary, Katzke, Verena A., primary, Trichopoulou, Antonia, primary, Yiannakouris, Nikos, primary, Trichopoulos, Dimitrios, primary, Boeing, Heiner, primary, Quirós, J. Ramón, primary, Duell, Eric J., primary, Molina-Montes, Esther, primary, Huerta, José María, primary, Ardanaz, Eva, primary, Dorronsoro, Miren, primary, Khaw, Kay-Tee, primary, Wareham, Nicholas, primary, Travis, Ruth C., primary, Palli, Domenico, primary, Pala, Valeria, primary, Tumino, Rosario, primary, Naccarati, Alessio, primary, Panico, Salvatore, primary, Vineis, Paolo, primary, Riboli, Elio, primary, Siddiq, Afshan, primary, Bueno-de-Mesquita, H.B., primary, Peeters, Petra H., primary, Nilsson, Peter M., primary, Sund, Malin, primary, Ye, Weimin, primary, Lund, Eiliv, primary, Jareid, Mie, primary, Weiderpass, Elisabete, primary, Duarte-Salles, Talita, primary, Kong, So Yeon, primary, Stepien, Magdalena, primary, Canzian, Federico, primary, and Kaaks, Rudolf, primary
Published: 2023
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15. Supplemental Tables S1-S3 from Serum Endotoxins and Flagellin and Risk of Colorectal Cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC) Cohort

Author: Kong, So Yeon, primary, Tran, Hao Quang, primary, Gewirtz, Andrew T., primary, McKeown-Eyssen, Gail, primary, Fedirko, Veronika, primary, Romieu, Isabelle, primary, Tjønneland, Anne, primary, Olsen, Anja, primary, Overvad, Kim, primary, Boutron-Ruault, Marie-Christine, primary, Bastide, Nadia, primary, Affret, Aurélie, primary, Kühn, Tilman, primary, Kaaks, Rudolf, primary, Boeing, Heiner, primary, Aleksandrova, Krasimira, primary, Trichopoulou, Antonia, primary, Kritikou, Maria, primary, Vasilopoulou, Effie, primary, Palli, Domenico, primary, Krogh, Vittorio, primary, Mattiello, Amalia, primary, Tumino, Rosario, primary, Naccarati, Alessio, primary, Bueno-de-Mesquita, H.B., primary, Peeters, Petra H., primary, Weiderpass, Elisabete, primary, Quirós, J. Ramón, primary, Sala, Núria, primary, Sánchez, María-José, primary, Castaño, José María Huerta, primary, Barricarte, Aurelio, primary, Dorronsoro, Miren, primary, Werner, Mårten, primary, Wareham, Nicholas J., primary, Khaw, Kay-Tee, primary, Bradbury, Kathryn E., primary, Freisling, Heinz, primary, Stavropoulou, Faidra, primary, Ferrari, Pietro, primary, Gunter, Marc J., primary, Cross, Amanda J., primary, Riboli, Elio, primary, Bruce, W. Robert, primary, and Jenab, Mazda, primary
Published: 2023
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16. Vitamin D and pancreatic cancer: a pooled analysis from the Pancreatic Cancer Case–Control Consortium

Author: Waterhouse, M., Risch, H.A., Bosetti, C., Anderson, K.E., Petersen, G.M., Bamlet, W.R., Cotterchio, M., Cleary, S.P., Ibiebele, T.I., La Vecchia, C., Skinner, H.G., Strayer, L., Bracci, P.M., Maisonneuve, P., Bueno-de-Mesquita, H.B., Zatoński, W., Lu, L., Yu, H., Janik-Koncewicz, K., and Neale, R.E.
Published: 2015
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17. Plasma methionine, choline, betaine, and dimethylglycine in relation to colorectal cancer risk in the European Prospective Investigation into Cancer and Nutrition (EPIC)

Author: Nitter, M., Norgård, B., de Vogel, S., Eussen, S.J.P.M., Meyer, K., Ulvik, A., Ueland, P.M., Nygård, O., Vollset, S.E., Bjørge, T., Tjønneland, A., Hansen, L., Boutron-Ruault, M., Racine, A., Cottet, V., Kaaks, R., Kühn, T., Trichopoulou, A., Bamia, C., Naska, A., Grioni, S., Palli, D., Panico, S., Tumino, R., Vineis, P., Bueno-de-Mesquita, H.B., van Kranen, H., Peeters, P.H., Weiderpass, E., Dorronsoro, M., Jakszyn, P., Sánchez, M., Argüelles, M., Huerta, J.M., Barricarte, A., Johansson, M., Ljuslinder, I., Khaw, K., Wareham, N., Freisling, H., Duarte-Salles, T., Stepien, M., Gunter, M.J., and Riboli, E.
Published: 2014
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18. Circulating prolactin and breast cancer risk among pre- and postmenopausal women in the EPIC cohort

Author: Tikk, K., Sookthai, D., Johnson, T., Rinaldi, S., Romieu, I., Tjønneland, A., Olsen, A., Overvad, K., Clavel-Chapelon, F., Baglietto, L., Boeing, H., Trichopoulou, A., Lagiou, P., Trichopoulos, D., Palli, D., Pala, V., Tumino, R., Rosso, S., Panico, S., Agudo, A., Menéndez, V., Sánchez, M.-J., Amiano, P., Huerta Castaño, J.M., Ardanaz, E., Bueno-de-Mesquita, H.B., Monninkhof, E., Onland-Moret, C., Andersson, A., Sund, M., Weiderpass, E., Khaw, K.-T., Key, T.J., Travis, R.C., Gunter, M.J., Riboli, E., Dossus, L., and Kaaks, R.
Published: 2014
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19. Pancreatitis and pancreatic cancer risk: a pooled analysis in the International Pancreatic Cancer Case-Control Consortium (PanC4)

Author: Duell, E.J., Lucenteforte, E., Olson, S.H., Bracci, P.M., Li, D., Risch, H.A., Silverman, D.T., Ji, B.T., Gallinger, S., Holly, E.A., Fontham, E.H., Maisonneuve, P., Bueno-de-Mesquita, H.B., Ghadirian, P., Kurtz, R.C., Ludwig, E., Yu, H., Lowenfels, A.B., Seminara, D., Petersen, G.M., La Vecchia, C., and Boffetta, P.
Published: 2012
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20. Cigarette smoking and pancreatic cancer: an analysis from the International Pancreatic Cancer Case-Control Consortium (Panc4)

Author: Bosetti, C., Lucenteforte, E., Silverman, D.T., Petersen, G., Bracci, P.M., Ji, B.T., Negri, E., Li, D., Risch, H.A., Olson, S.H., Gallinger, S., Miller, A.B., Bueno-de-Mesquita, H.B., Talamini, R., Polesel, J., Ghadirian, P., Baghurst, P.A., Zatonski, W., Fontham, E., Bamlet, W.R., Holly, E.A., Bertuccio, P., Gao, Y.T., Hassan, M., Yu, H., Kurtz, R.C., Cotterchio, M., Su, J., Maisonneuve, P., Duell, E.J., Boffetta, P., and La Vecchia, C.
Published: 2012
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21. Cigar and pipe smoking, smokeless tobacco use and pancreatic cancer: an analysis from the International Pancreatic Cancer Case-Control Consortium (PanC4)

Author: Bertuccio, P., La Vecchia, C., Silverman, D.T., Petersen, G.M., Bracci, P.M., Negri, E., Li, D., Risch, H.A., Olson, S.H., Gallinger, S., Miller, A.B., Bueno-de-Mesquita, H.B., Talamini, R., Polesel, J., Ghadirian, P., Baghurst, P.A., Zatonski, W., Fontham, E.T., Bamlet, W.R., Holly, E.A., Lucenteforte, E., Hassan, M., Yu, H., Kurtz, R.C., Cotterchio, M., Su, J., Maisonneuve, P., Duell, E.J., Bosetti, C., and Boffetta, P.
Published: 2011
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22. Plasma Alkylresorcinols, Biomarkers of Whole-Grain Wheat and Rye Intake, and Incidence of Colorectal Cancer

Author: Kyrø, Cecilie, Olsen, Anja, Landberg, Rikard, Skeie, Guri, Loft, Steffen, Åman, Per, Leenders, Max, Dik, Vincent K., Siersema, Peter D., Pischon, Tobias, Christensen, Jane, Overvad, Kim, Boutron-Ruault, Marie-Christine, Fagherazzi, Guy, Cottet, Vanessa, Kühn, Tilman, Chang-Claude, Jenny, Boeing, Heiner, Trichopoulou, Antonia, Bamia, Christina, Trichopoulos, Dimitrios, Palli, Domenico, Krogh, Vittorio, Tumino, Rosario, Vineis, Paolo, Panico, Salvatore, Peeters, Petra H., Weiderpass, Elisabete, Bakken, Toril, Åsli, Lene Angell, Argüelles, Marcial, Jakszyn, Paula, Sánchez, María-José, Amiano, Pilar, Huerta, José María, Barricarte, Aurelio, Ljuslinder, Ingrid, Palmqvist, Richard, Khaw, Kay-Tee, Wareham, Nick, Key, Timothy J., Travis, Ruth C., Ferrari, Pietro, Freisling, Heinz, Jenab, Mazda, Gunter, Marc J., Murphy, Neil, Riboli, Eilo, Tjønneland, Anne, and Bueno-de-Mesquita, H.B(as).
Published: 2014
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23. Using multiple imputation methods to estimate relative risks in small EPIC lung cancer subsets

Author: Altenburg, H.P., Agudo, A., Berrino, F., Boshuizen, H.C., Bueno-de-Mesquita, H.B., Janzon, L., Le Marchand, L., Linseisen, Jakob, Lukanova, A., Rasmuson, T., Vineis, P., Riboli, E., and Miller, A.
Subjects: ddc:610
Published: 2021

24. Diabetes and onset of natural menopause: results from the European Prospective Investigation into Cancer and Nutrition

Author: Brand, J.S., Onland-Moret, N.C., Eijkemans, M.J.C., Tjønneland, A., Roswall, N., Overvad, K., Fagherazzi, G., Clavel-Chapelon, F., Dossus, L., Lukanova, A., Grote, V., Bergmann, M.M., Boeing, H., Trichopoulou, A., Tzivoglou, M., Trichopoulos, D., Grioni, S., Mattiello, A., Masala, G., Tumino, R., Vineis, P., Bueno-de-Mesquita, H.B., Weiderpass, E., Redondo, M.L., Sánchez, M.J., Castaño, J.M. Huerta, Arriola, L., Ardanaz, E., Duell, E.J., Rolandsson, O., Franks, P.W., Butt, S., Nilsson, P., Khaw, K.T., Wareham, N., Travis, R., Romieu, I., Gunter, M.J., Riboli, E., and van der Schouw, Y.T.
Published: 2015
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25. Metabolic perturbations prior to hepatocellular carcinoma diagnosis: Findings from a prospective observational cohort study

Author: Stepien, M., Keski-Rahkonen, P., Kiss, A., Robinot, N., Duarte-Salles, T., Murphy, N., Perlemuter, G., Viallon, V., Tjønneland, A., Rostgaard-Hansen, A.L., Dahm, C.C., Overvad, K., Boutron-Ruault, M.-C., Mancini, F.R., Mahamat-Saleh, Y., Aleksandrova, K., Kaaks, R., Kühn, T., Trichopoulou, A., Karakatsani, A., Panico, S., Tumino, R., Palli, D., Tagliabue, G., Naccarati, A., Vermeulen, R.C.H., Bueno-de-Mesquita, H.B., Weiderpass, E., Skeie, G., Ramón Quirós, J., Ardanaz, E., Mokoroa, O., Sala, N., Sánchez, M.-J., Huerta, J.M., Winkvist, A., Harlid, S., Ohlsson, B., Sjöberg, K., Wareham, N., Khaw, K.-T., Ferrari, P., Rothwell, J.A., Gunter, M., Riboli, E., Scalbert, A., Jenab, M., IRAS OH Epidemiology Chemical Agents, and dIRAS RA-2
Subjects: untargeted metabolomics, Cancer Research, prospective observational cohort, Oncology, hepatocellular carcinoma
Abstract: Hepatocellular carcinoma (HCC) development entails changes in liver metabolism. Current knowledge on metabolic perturbations in HCC is derived mostly from case-control designs, with sparse information from prospective cohorts. Our objective was to apply comprehensive metabolite profiling to detect metabolites whose serum concentrations are associated with HCC development, using biological samples from within the prospective European Prospective Investigation into Cancer and Nutrition (EPIC) cohort (>520 000 participants), where we identified 129 HCC cases matched 1:1 to controls. We conducted high-resolution untargeted liquid chromatography-mass spectrometry-based metabolomics on serum samples collected at recruitment prior to cancer diagnosis. Multivariable conditional logistic regression was applied controlling for dietary habits, alcohol consumption, smoking, body size, hepatitis infection and liver dysfunction. Corrections for multiple comparisons were applied. Of 9206 molecular features detected, 220 discriminated HCC cases from controls. Detailed feature annotation revealed 92 metabolites associated with HCC risk, of which 14 were unambiguously identified using pure reference standards. Positive HCC-risk associations were observed for N1-acetylspermidine, isatin, p-hydroxyphenyllactic acid, tyrosine, sphingosine, l,l-cyclo(leucylprolyl), glycochenodeoxycholic acid, glycocholic acid and 7-methylguanine. Inverse risk associations were observed for retinol, dehydroepiandrosterone sulfate, glycerophosphocholine, γ-carboxyethyl hydroxychroman and creatine. Discernible differences for these metabolites were observed between cases and controls up to 10 years prior to diagnosis. Our observations highlight the diversity of metabolic perturbations involved in HCC development and replicate previous observations (metabolism of bile acids, amino acids and phospholipids) made in Asian and Scandinavian populations. These findings emphasize the role of metabolic pathways associated with steroid metabolism and immunity and specific dietary and environmental exposures in HCC development.
Published: 2021

26. Development and validation of a lifestyle-based model for colorectal cancer risk prediction: the LiFeCRC score

Author: Aleksandrova, K. Reichmann, R. Kaaks, R. Jenab, M. Bueno-de-Mesquita, H.B. Dahm, C.C. Eriksen, A.K. Tjønneland, A. Artaud, F. Boutron-Ruault, M.-C. Severi, G. Hüsing, A. Trichopoulou, A. Karakatsani, A. Peppa, E. Panico, S. Masala, G. Grioni, S. Sacerdote, C. Tumino, R. Elias, S.G. May, A.M. Borch, K.B. Sandanger, T.M. Skeie, G. Sánchez, M.-J. Huerta, J.M. Sala, N. Gurrea, A.B. Quirós, J.R. Amiano, P. Berntsson, J. Drake, I. van Guelpen, B. Harlid, S. Key, T. Weiderpass, E. Aglago, E.K. Cross, A.J. Tsilidis, K.K. Riboli, E. Gunter, M.J.
Abstract: Background: Nutrition and lifestyle have been long established as risk factors for colorectal cancer (CRC). Modifiable lifestyle behaviours bear potential to minimize long-term CRC risk; however, translation of lifestyle information into individualized CRC risk assessment has not been implemented. Lifestyle-based risk models may aid the identification of high-risk individuals, guide referral to screening and motivate behaviour change. We therefore developed and validated a lifestyle-based CRC risk prediction algorithm in an asymptomatic European population. Methods: The model was based on data from 255,482 participants in the European Prospective Investigation into Cancer and Nutrition (EPIC) study aged 19 to 70 years who were free of cancer at study baseline (1992–2000) and were followed up to 31 September 2010. The model was validated in a sample comprising 74,403 participants selected among five EPIC centres. Over a median follow-up time of 15 years, there were 3645 and 981 colorectal cancer cases in the derivation and validation samples, respectively. Variable selection algorithms in Cox proportional hazard regression and random survival forest (RSF) were used to identify the best predictors among plausible predictor variables. Measures of discrimination and calibration were calculated in derivation and validation samples. To facilitate model communication, a nomogram and a web-based application were developed. Results: The final selection model included age, waist circumference, height, smoking, alcohol consumption, physical activity, vegetables, dairy products, processed meat, and sugar and confectionary. The risk score demonstrated good discrimination overall and in sex-specific models. Harrell’s C-index was 0.710 in the derivation cohort and 0.714 in the validation cohort. The model was well calibrated and showed strong agreement between predicted and observed risk. Random survival forest analysis suggested high model robustness. Beyond age, lifestyle data led to improved model performance overall (continuous net reclassification improvement = 0.307 (95% CI 0.264–0.352)), and especially for young individuals below 45 years (continuous net reclassification improvement = 0.364 (95% CI 0.084–0.575)). Conclusions: LiFeCRC score based on age and lifestyle data accurately identifies individuals at risk for incident colorectal cancer in European populations and could contribute to improved prevention through motivating lifestyle change at an individual level. © 2020, The Author(s).
Published: 2021

27. Metabolic perturbations prior to hepatocellular carcinoma diagnosis: Findings from a prospective observational cohort study

Author: Stepien, M. Keski-Rahkonen, P. Kiss, A. Robinot, N. Duarte-Salles, T. Murphy, N. Perlemuter, G. Viallon, V. Tjønneland, A. Rostgaard-Hansen, A.L. Dahm, C.C. Overvad, K. Boutron-Ruault, M.-C. Mancini, F.R. Mahamat-Saleh, Y. Aleksandrova, K. Kaaks, R. Kühn, T. Trichopoulou, A. Karakatsani, A. Panico, S. Tumino, R. Palli, D. Tagliabue, G. Naccarati, A. Vermeulen, R.C.H. Bueno-de-Mesquita, H.B. Weiderpass, E. Skeie, G. Ramón Quirós, J. Ardanaz, E. Mokoroa, O. Sala, N. Sánchez, M.-J. Huerta, J.M. Winkvist, A. Harlid, S. Ohlsson, B. Sjöberg, K. Schmidt, J.A. Wareham, N. Khaw, K.-T. Ferrari, P. Rothwell, J.A. Gunter, M. Riboli, E. Scalbert, A. Jenab, M.
Subjects: digestive system diseases
Abstract: Hepatocellular carcinoma (HCC) development entails changes in liver metabolism. Current knowledge on metabolic perturbations in HCC is derived mostly from case-control designs, with sparse information from prospective cohorts. Our objective was to apply comprehensive metabolite profiling to detect metabolites whose serum concentrations are associated with HCC development, using biological samples from within the prospective European Prospective Investigation into Cancer and Nutrition (EPIC) cohort (>520 000 participants), where we identified 129 HCC cases matched 1:1 to controls. We conducted high-resolution untargeted liquid chromatography-mass spectrometry-based metabolomics on serum samples collected at recruitment prior to cancer diagnosis. Multivariable conditional logistic regression was applied controlling for dietary habits, alcohol consumption, smoking, body size, hepatitis infection and liver dysfunction. Corrections for multiple comparisons were applied. Of 9206 molecular features detected, 220 discriminated HCC cases from controls. Detailed feature annotation revealed 92 metabolites associated with HCC risk, of which 14 were unambiguously identified using pure reference standards. Positive HCC-risk associations were observed for N1-acetylspermidine, isatin, p-hydroxyphenyllactic acid, tyrosine, sphingosine, l,l-cyclo(leucylprolyl), glycochenodeoxycholic acid, glycocholic acid and 7-methylguanine. Inverse risk associations were observed for retinol, dehydroepiandrosterone sulfate, glycerophosphocholine, γ-carboxyethyl hydroxychroman and creatine. Discernible differences for these metabolites were observed between cases and controls up to 10 years prior to diagnosis. Our observations highlight the diversity of metabolic perturbations involved in HCC development and replicate previous observations (metabolism of bile acids, amino acids and phospholipids) made in Asian and Scandinavian populations. These findings emphasize the role of metabolic pathways associated with steroid metabolism and immunity and specific dietary and environmental exposures in HCC development. © 2020 UICC
Published: 2021

28. Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight

Author: Iurilli, M.L.C. Zhou, B. Bennett, J.E. Carrillo-Larco, R.M. Sophiea, M.K. Rodriguez-Martinez, A. Bixby, H. Solomon, B.D. Taddei, C. Danaei, G. Di Cesare, M. Stevens, G.A. Riley, L.M. Savin, S. Cowan, M.J. Bovet, P. Damasceno, A. Chirita-Emandi, A. Hayes, A.J. Ikeda, N. Jackson, R.T. Khang, Y.-H. Laxmaiah, A. Liu, J. Miranda, J.J. Saidi, O. Sebert, S. Sorić, M. Starc, G. Gregg, E.W. Abarca-Gómez, L. Abdeen, Z.A. Abdrakhmanova, S. Ghaffar, S.A. Rahim, H.F.A. Abu-Rmeileh, N.M. Garba, J.A. Acosta-Cazares, B. Adams, R.J. Aekplakorn, W. Afsana, K. Afzal, S. Agdeppa, I.A. Aghazadeh-Attari, J. Aguilar-Salinas, C.A. Agyemang, C. Ahmad, M.H. Ahmad, N.A. Ahmadi, A. Ahmadi, N. Ahmed, S.H. Ahrens, W. Aitmurzaeva, G. Ajlouni, K. Al-Hazzaa, H.M. Al-Lahou, B. Al-Raddadi, R. Alarouj, M. AlBuhairan, F. AlDhukair, S. Ali, M.M. Alkandari, A. Alkerwi, A. Allin, K. Alvarez-Pedrerol, M. Aly, E. Amarapurkar, D.N. Amiri, P. Amougou, N. Amouyel, P. Andersen, L.B. Anderssen, S.A. Ängquist, L. Anjana, R.M. Ansari-Moghaddam, A. Aounallah-Skhiri, H. Araújo, J. Ariansen, I. Aris, T. Arku, R.E. Arlappa, N. Aryal, K.K. Aspelund, T. Assah, F.K. Assunção, M.C.F. Aung, M.S. Auvinen, J. Mária Avdicová Avi, S. Azevedo, A. Azimi-Nezhad, M. Azizi, F. Azmin, M. Babu, B.V. Bæksgaard Jørgensen, M. Baharudin, A. Bahijri, S. Baker, J.L. Balakrishna, N. Bamoshmoosh, M. Banach, M. Bandosz, P. Banegas, J.R. Baran, J. Barbagallo, C.M. Barceló, A. Barkat, A. Barros, A.J.D. Barros, M.V.G. Basit, A. Bastos, J.L.D. Bata, I. Batieha, A.M. Batista, R.L. Battakova, Z. Batyrbek, A. Baur, L.A. Beaglehole, R. Bel-Serrat, S. Belavendra, A. Romdhane, H.B. Benedics, J. Benet, M. Bergh, I.H. Berkinbayev, S. Bernabe-Ortiz, A. Bernotiene, G. Bettiol, H. Bezerra, J. Bhagyalaxmi, A. Bharadwaj, S. Bhargava, S.K. Bhutta, Z.A. Bi, H. Bi, Y. Bia, D. Lele, E.C.B. Bikbov, M.M. Bista, B. Bjelica, D.J. Bjerregaard, P. Bjertness, E. Bjertness, M.B. Björkelund, C. Bloch, K.V. Blokstra, A. Bo, S. Bobak, M. Boddy, L.M. Boehm, B.O. Boeing, H. Boggia, J.G. Bogova, E. Boissonnet, C.P. Bojesen, S.E. Bonaccio, M. Bongard, V. Bonilla-Vargas, A. Bopp, M. Borghs, H. Braeckevelt, L. Braeckman, L. Bragt, M.C.E. Brajkovich, I. Branca, F. Breckenkamp, J. Breda, J. Brenner, H. Brewster, L.M. Brian, G.R. Brinduse, L. Brophy, S. Bruno, G. Bueno-de-Mesquita, H.B. Bugge, A. Buoncristiano, M. Burazeri, G. Burns, C. de León, A.C. Cacciottolo, J. Cai, H. Cama, T. Cameron, C. Camolas, J. Can, G. Candido, A.P.C. Cañete, F. Capanzana, M.V. Capková, N. Capuano, E. Capuano, V. Cardol, M. Cardoso, V.C. Carlsson, A.C. Carmuega, E. Carvalho, J. Casajús, J.A. Casanueva, F.F. Celikcan, E. Censi, L. Cervantes-Loaiza, M. Cesar, J.A. Chamukuttan, S. Chan, A.W. Chan, Q. Chaturvedi, H.K. Chaturvedi, N. Rahim, N.C.A. Chee, M.L. Chen, C.-J. Chen, F. Chen, H. Chen, S. Chen, Z. Cheng, C.-Y. Cheraghian, B. Chetrit, A. Chikova-Iscener, E. Chiolero, A. Chiou, S.-T. Chirlaque, M.-D. Cho, B. Christensen, K. Christofaro, D.G. Chudek, J. Cifkova, R. Cilia, M. Cinteza, E. Claessens, F. Clarke, J. Clays, E. Cohen, E. Concin, H. Confortin, S.C. Cooper, C. Coppinger, T.C. Corpeleijn, E. Costanzo, S. Cottel, D. Cowell, C. Craig, C.L. Crampin, A.C. Crujeiras, A.B. Csilla, S. Cucu, A.M. Cui, L. Cureau, F.V. Czenczek-Lewandowska, E. D’Arrigo, G. d’Orsi, E. Dacica, L. Dal Re Saavedra, M.A. Dallongeville, J. Damsgaard, C.T. Dankner, R. Dantoft, T.M. Dasgupta, P. Dastgiri, S. Dauchet, L. Davletov, K. De Backer, G. De Bacquer, D. de Gaetano, G. De Henauw, S. de Oliveira, P.D. De Ridder, D. De Ridder, K. de Rooij, S.R. De Smedt, D. Deepa, M. Deev, A.D. DeGennaro, V., Jr Dehghan, A. Delisle, H. Delpeuch, F. Demarest, S. Dennison, E. Dereń, K. Deschamps, V. Dhimal, M. Di Castelnuovo, A.F. Dias-da-Costa, J.S. Díaz-Sánchez, M.E. Diaz, A. Dika, Z. Djalalinia, S. Djordjic, V. Do, H.T.P. Dobson, A.J. Donati, M.B. Donfrancesco, C. Donoso, S.P. Döring, A. Dorobantu, M. Dorosty, A.R. Doua, K. Dragano, N. Drygas, W. Duan, J.L. Duante, C.A. Duboz, P. Duda, R.B. Duleva, V. Dulskiene, V. Dumith, S.C. Dushpanova, A. Dzerve, V. Dziankowska-Zaborszczyk, E. Eddie, R. Eftekhar, E. Egbagbe, E.E. Eggertsen, R. Eghtesad, S. Eiben, G. Ekelund, U. El-Khateeb, M. Ati, J.E. Eldemire-Shearer, D. Eliasen, M. Elliott, P. Engle-Stone, R. Enguerran, M. Erasmus, R.T. Erbel, R. Erem, C. Eriksen, L. Eriksson, J.G. Escobedo-de la Peña, J. Eslami, S. Esmaeili, A. Evans, A. Faeh, D. Fakhretdinova, A.A. Fall, C.H. Faramarzi, E. Farjam, M. Sant’Angelo, V.F. Farzadfar, F. Fattahi, M.R. Fawwad, A. Felix-Redondo, F.J. Ferguson, T.S. Fernandes, R.A. Fernández-Bergés, D. Ferrante, D. Ferrao, T. Ferrari, M. Ferrario, M.M. Ferreccio, C. Ferrer, E. Ferrieres, J. Figueiró, T.H. Fijalkowska, A. Fink, G. Fischer, K. Foo, L.H. Forsner, M. Fouad, H.M. Francis, D.K. Maria do Carmo Franco Frikke-Schmidt, R. Frontera, G. Fuchs, F.D. Fuchs, S.C. Fujiati, I.I. Fujita, Y. Fumihiko, M. Furusawa, T. Gaciong, Z. Gafencu, M. Galbarczyk, A. Galenkamp, H. Galeone, D. Galfo, M. Galvano, F. Gao, J. Garcia-de-la-Hera, M. García-Solano, M. Gareta, D. Garnett, S.P. Gaspoz, J.-M. Gasull, M. Gaya, A.C.A. Gaya, A.R. Gazzinelli, A. Gehring, U. Geiger, H. Geleijnse, J.M. Ghanbari, A. Ghasemi, E. Gheorghe-Fronea, O.-F. Giampaoli, S. Gianfagna, F. Gill, T.K. Giovannelli, J. Gironella, G. Giwercman, A. Gkiouras, K. Godos, J. Gogen, S. Goldberg, M. Goldsmith, R.A. Goltzman, D. Gómez, S.F. Gomula, A. da Silva, B.G.C. Gonçalves, H. Gonzalez-Chica, D.A. Gonzalez-Gross, M. González-Leon, M. González-Rivas, J.P. González-Villalpando, C. González-Villalpando, M.-E. Gonzalez, A.R. Gottrand, F. Graça, A.P. Graff-Iversen, S. Grafnetter, D. Grajda, A. Grammatikopoulou, M.G. Gregor, R.D. Grodzicki, T. Grøholt, E.K. Grøntved, A. Grosso, G. Gruden, G. Gu, D. Gualdi-Russo, E. Guallar-Castillón, P. Gualtieri, A. Gudmundsson, E.F. Gudnason, V. Guerrero, R. Guessous, I. Guimaraes, A.L. Gulliford, M.C. Gunnlaugsdottir, J. Gunter, M.J. Guo, X.-H. Guo, Y. Gupta, P.C. Gupta, R. Gureje, O. Gurzkowska, B. Gutiérrez-González, E. Gutierrez, L. Gutzwiller, F. Ha, S. Hadaegh, F. Hadjigeorgiou, C.A. Haghshenas, R. Hakimi, H. Halkjær, J. Hambleton, I.R. Hamzeh, B. Hange, D. Hanif, A.A.M. Hantunen, S. Hao, J. Kumar, R.H. Hashemi-Shahri, S.M. Hassapidou, M. Hata, J. Haugsgjerd, T. He, J. He, Y. He, Y. Heidinger-Felso, R. Heinen, M. Hejgaard, T. Hendriks, M.E. dos Santos Henrique, R. Henriques, A. Cadena, L.H. Herrala, S. Herrera, V.M. Herter-Aeberli, I. Heshmat, R. Hill, A.G. Ho, S.Y. Ho, S.C. Hobbs, M. Holdsworth, M. Homayounfar, R. Homs, C. Hopman, W.M. Horimoto, A.R.V.R. Hormiga, C.M. Horta, B.L. Houti, L. Howitt, C. Htay, T.T. Htet, A.S. Htike, M.M.T. Hu, Y. Huerta, J.M. Huhtaniemi, I.T. Huiart, L. Petrescu, C.H. Huisman, M. Husseini, A. Huu, C.N. Huybrechts, I. Hwalla, N. Hyska, J. Iacoviello, L. Ibarluzea, J.M. Ibrahim, M.M. Wong, N.I. Ikram, M.A. Iotova, V. Irazola, V.E. Ishida, T. Islam, M. Islam, S.M.S. Iwasaki, M. Jacobs, J.M. Jaddou, H.Y. Jafar, T. James, K. Jamil, K.M. Jamrozik, K. Janszky, I. Janus, E. Jarani, J. Jarvelin, M.-R. Jasienska, G. Jelakovic, A. Jelakovic, B. Jennings, G. Jha, A.K. Jiang, C.Q. Jimenez, R.O. Jöckel, K.-H. Joffres, M. Johansson, M. Jokelainen, J.J. Jonas, J.B. Jonnagaddala, J. Jørgensen, T. Joshi, P. Joukar, F. Jovic, D.P. Jóźwiak, J.J. Juolevi, A. Jurak, G. Simina, I.J. Juresa, V. Kaaks, R. Kaducu, F.O. Kafatos, A. Kajantie, E.O. Kalmatayeva, Z. Kalter-Leibovici, O. Kameli, Y. Kampmann, F.B. Kanala, K.R. Kannan, S. Kapantais, E. Karakosta, A. Kårhus, L.L. Karki, K.B. Katibeh, M. Katz, J. Katzmarzyk, P.T. Kauhanen, J. Kaur, P. Kavousi, M. Kazakbaeva, G.M. Keil, U. Boker, L.K. Keinänen-Kiukaanniemi, S. Kelishadi, R. Kelleher, C. Kemper, H.C.G. Kengne, A.P. Keramati, M. Kerimkulova, A. Kersting, M. Key, T. Khader, Y.S. Khalili, D. Khaw, K.-T. Kheiri, B. Kheradmand, M. Khosravi, A. Khouw, I.M.S.L. Kiechl-Kohlendorfer, U. Kiechl, S. Killewo, J. Kim, D.W. Kim, H.C. Kim, J. Kindblom, J.M. Klakk, H. Klimek, M. Klimont, J. Klumbiene, J. Knoflach, M. Koirala, B. Kolle, E. Kolsteren, P. König, J. Korpelainen, R. Korrovits, P. Korzycka, M. Kos, J. Koskinen, S. Kouda, K. Kovacs, V.A. Kowlessur, S. Koziel, S. Kratenova, J. Kratzer, W. Kriemler, S. Kristensen, P.L. Krokstad, S. Kromhout, D. Kruger, H.S. Kubinova, R. Kuciene, R. Kujala, U.M. Kujundzic, E. Kulaga, Z. Kumar, R.K. Kunešová, M. Kurjata, P. Kusuma, Y.S. Kuulasmaa, K. Kyobutungi, C. La, Q.N. Laamiri, F.Z. Laatikainen, T. Lachat, C. Laid, Y. Lam, T.H. Lambrinou, C.-P. Landais, E. Lanska, V. Lappas, G. Larijani, B. Latt, T.S. Lauria, L. Lazo-Porras, M. Le Coroller, G. Bao, K.L.N. Le Port, A. Le, T.D. Lee, J. Lee, J. Lee, P.H. Lehmann, N. Lehtimäki, T. Lemogoum, D. Levitt, N.S. Li, Y. Liivak, M. Lilly, C.L. Lim, W.-Y. Lima-Costa, M.F. Lin, H.-H. Lin, X. Lin, Y.-T. Lind, L. Linneberg, A. Lissner, L. Litwin, M. Liu, L. Lo, W.-C. Loit, H.-M. Long, K.Q. Lopes, L. Lopes, O. Lopez-Garcia, E. Lopez, T. Lotufo, P.A. Lozano, J.E. Lukrafka, J.L. Luksiene, D. Lundqvist, A. Lundqvist, R. Lunet, N. Lunogelo, C. Lustigová, M. Łuszczki, E. Ma, G. Ma, J. Ma, X. Machado-Coelho, G.L.L. Machado-Rodrigues, A.M. Macieira, L.M. Madar, A.A. Maggi, S. Magliano, D.J. Magnacca, S. Magriplis, E. Mahasampath, G. Maire, B. Majer, M. Makdisse, M. Mäki, P. Malekzadeh, F. Malekzadeh, R. Malhotra, R. Rao, K.M. Malyutina, S.K. Maniego, L.V. Manios, Y. Mann, J.I. Mansour-Ghanaei, F. Manzato, E. Margozzini, P. Markaki, A. Markey, O. Ioannidou, E.M. Marques-Vidal, P. Marques, L.P. Marrugat, J. Martin-Prevel, Y. Martin, R. Martorell, R. Martos, E. Maruszczak, K. Marventano, S. Mascarenhas, L.P. Masoodi, S.R. Mathiesen, E.B. Mathur, P. Matijasevich, A. Matsha, T.E. Mavrogianni, C. Mazur, A. Mbanya, J.C.N. McFarlane, S.R. McGarvey, S.T. McKee, M. McLachlan, S. McLean, R.M. McLean, S.B. McNulty, B.A. Benchekor, S.M. Medzioniene, J. Mehdipour, P. Mehlig, K. Mehrparvar, A.H. Meirhaeghe, A. Meisfjord, J. Meisinger, C. Menezes, A.M.B. Menon, G.R. Mensink, G.B.M. Menzano, M.T. Mereke, A. Meshram, I.I. Metspalu, A. Meyer, H.E. Mi, J. Michaelsen, K.F. Michels, N. Mikkel, K. Milkowska, K. Miller, J.C. Minderico, C.S. Mini, G.K. Miquel, J.F. Mirjalili, M.R. Mirkopoulou, D. Mirrakhimov, E. Mišigoj-Durakovic, M. Mistretta, A. Mocanu, V. Modesti, P.A. Moghaddam, S.S. Mohajer, B. Mohamed, M.K. Mohamed, S.F. Mohammad, K. Mohammadi, Z. Mohammadifard, N. Mohammadpourhodki, R. Mohan, V. Mohanna, S. Yusoff, M.F.M. Mohebbi, I. Mohebi, F. Moitry, M. Molbo, D. Møllehave, L.T. Møller, N.C. Molnár, D. Momenan, A. Mondo, C.K. Monroy-Valle, M. Monterrubio-Flores, E. Monyeki, K.D.K. Moon, J.S. Moosazadeh, M. Moreira, L.B. Morejon, A. Moreno, L.A. Morgan, K. Morin, S.N. Mortensen, E.L. Moschonis, G. Mossakowska, M. Mostafa, A. Mota-Pinto, A. Mota, J. Motlagh, M.E. Motta, J. Moura-dos-Santos, M.A. Mridha, M.K. Msyamboza, K.P. Mu, T.T. Muc, M. Mugoša, B. Muiesan, M.L. Mukhtorova, P. Müller-Nurasyid, M. Murphy, N. Mursu, J. Murtagh, E.M. Musa, K.I. Milanovic, S.M. Musil, V. Mustafa, N. Nabipour, I. Naderimagham, S. Nagel, G. Naidu, B.M. Najafi, F. Nakamura, H. Námešná, J. Nang, E.E.K. Nangia, V.B. Nankap, M. Narake, S. Nardone, P. Nauck, M. Neal, W.A. Nejatizadeh, A. Nekkantti, C. Nelis, K. Nelis, L. Nenko, I. Neovius, M. Nervi, F. Nguyen, C.T. Nguyen, N.D. Nguyen, Q.N. Nieto-Martínez, R.E. Nikitin, Y.P. Ning, G. Ninomiya, T. Nishtar, S. Noale, M. Noboa, O.A. Nogueira, H. Norat, T. Nordendahl, M. Nordestgaard, B.G. Noto, D. Nowak-Szczepanska, N. Al Nsour, M. Nuhoglu, I. Nurk, E. O’Neill, T.W. O’Reilly, D. Obreja, G. Ochimana, C. Ochoa-Avilés, A.M. Oda, E. Oh, K. Ohara, K. Ohlsson, C. Ohtsuka, R. Olafsson, O. Olinto, M.T.A. Oliveira, I.O. Omar, M.A. Onat, A. Ong, S.K. Ono, L.M. Ordunez, P. Ornelas, R. Ortiz, A.P. Ortiz, P.J. Osler, M. Osmond, C. Ostojic, S.M. Ostovar, A. Otero, J.A. Overvad, K. Owusu-Dabo, E. Paccaud, F.M. Padez, C. Pagkalos, I. Pahomova, E. de Paiva, K.M. Pajak, A. Palli, D. Palloni, A. Palmieri, L. Pan, W.-H. Panda-Jonas, S. Pandey, A. Panza, F. Papandreou, D. Park, S.-W. Park, S. Parnell, W.R. Parsaeian, M. Pascanu, I.M. Pasquet, P. Patel, N.D. Pecin, I. Pednekar, M.S. Peer, N. Pei, G. Peixoto, S.V. Peltonen, M. Pereira, A.C. Peres, M.A. Pérez-Farinós, N. Pérez, C.M. Peterkova, V. Peters, A. Petersmann, A. Petkeviciene, J. Petrauskiene, A. Pettenuzzo, E. Peykari, N. Pham, S.T. Pichardo, R.N. Pierannunzio, D. Pigeot, I. Pikhart, H. Pilav, A. Pilotto, L. Pistelli, F. Pitakaka, F. Piwonska, A. Pizarro, A.N. Plans-Rubió, P. Poh, B.K. Pohlabeln, H. Pop, R.M. Popovic, S.R. Porta, M. Posch, G. Poudyal, A. Poulimeneas, D. Pouraram, H. Pourfarzi, F. Pourshams, A. Poustchi, H. Pradeepa, R. Price, A.J. Price, J.F. Providencia, R. Puder, J.J. Pudule, I. Puhakka, S.E. Puiu, M. Punab, M. Qasrawi, R.F. Qorbani, M. Bao, T.Q. Radic, I. Radisauskas, R. Rahimikazerooni, S. Rahman, M. Rahman, M. Raitakari, O. Raj, M. Rakhimova, E. Rakhmatulloev, S. Rakovac, I. Rao, S.R. Ramachandran, A. Ramke, J. Ramos, E. Ramos, R. Rampal, L. Rampal, S. Rarra, V. Rascon-Pacheco, R.A. Rasmussen, M. Rech, C.R. Redon, J. Reganit, P.F.M. Regecová, V. Revilla, L. Rezaianzadeh, A. Ribas-Barba, L. Ribeiro, R. Riboli, E. Richter, A. Rigo, F. Rinaldo, N. de Wit, T.F.R. Rito, A. Ritti-Dias, R.M. Rivera, J.A. Robitaille, C. Roccaldo, R. Rodrigues, D. Rodríguez-Artalejo, F. del Cristo Rodriguez-Perez, M. Rodríguez-Villamizar, L.A. Roggenbuck, U. Rojas-Martinez, R. Rojroongwasinkul, N. Romaguera, D. Romeo, E.L. Rosario, R.V. Rosengren, A. Rouse, I. Roy, J.G.R. Rubinstein, A. Rühli, F.J. Ruidavets, J.-B. Ruiz-Betancourt, B.S. Ruiz-Castell, M. Moreno, E.R. Rusakova, I.A. Jonsson, K.R. Russo, P. Rust, P. Rutkowski, M. Sabanayagam, C. Sacchini, E. Sachdev, H.S. Sadjadi, A. Safarpour, A.R. Safiri, S. Saki, N. Salanave, B. Martinez, E.S. Salmerón, D. Salomaa, V. Salonen, J.T. Salvetti, M. Samoutian, M. Sánchez-Abanto, J. Sans, S. Marina, L.S. Santos, D.A. Santos, I.S. Santos, L.C. Santos, M.P. Santos, O. Santos, R. Sanz, S.S. Saramies, J.L. Sardinha, L.B. Sarrafzadegan, N. Sathish, T. Saum, K.-U. Savva, S. Savy, M. Sawada, N. Sbaraini, M. Scazufca, M. Schaan, B.D. Rosario, A.S. Schargrodsky, H. Schienkiewitz, A. Schipf, S. Schmidt, C.O. Schmidt, I.M. Schnohr, P. Schöttker, B. Schramm, S. Schramm, S. Schröder, H. Schultsz, C. Schutte, A.E. Sein, A.A. Selamat, R. Sember, V. Sen, A. Senbanjo, I.O. Sepanlou, S.G. Sequera, V. Serra-Majem, L. Servais, J. Ševcíková, L. Shalnova, S.A. Shamah-Levy, T. Shamshirgaran, M. Shanthirani, C.S. Sharafkhah, M. Sharma, S.K. Shaw, J.E. Shayanrad, A. Shayesteh, A.A. Shengelia, L. Shi, Z. Shibuya, K. Shimizu-Furusawa, H. Shin, D.W. Shirani, M. Shiri, R. Shrestha, N. Si-Ramlee, K. Siani, A. Siantar, R. Sibai, A.M. Silva, A.M. Silva, D.A.S. Simon, M. Simons, J. Simons, L.A. Sjöberg, A. Sjöström, M. Skodje, G. Slowikowska-Hilczer, J. Slusarczyk, P. Smeeth, L. So, H.-K. Soares, F.C. Sobek, G. Sobngwi, E. Sodemann, M. Söderberg, S. Soekatri, M.Y.E. Soemantri, A. Sofat, R. Solfrizzi, V. Somi, M.H. Sonestedt, E. Song, Y. Sørensen, T.I.A. Sørgjerd, E.P. Jérome, C.S. Soto-Rojas, V.E. Soumaré, A. Sovic, S. Sparboe-Nilsen, B. Sparrenberger, K. Spinelli, A. Spiroski, I. Staessen, J.A. Stamm, H. Stathopoulou, M.G. Staub, K. Stavreski, B. Steene-Johannessen, J. Stehle, P. Stein, A.D. Stergiou, G.S. Stessman, J. Stevanovic, R. Stieber, J. Stöckl, D. Stocks, T. Stokwiszewski, J. Stoyanova, E. Stratton, G. Stronks, K. Strufaldi, M.W. Sturua, L. Suárez-Medina, S. Suka, M. Sun, C.-A. Sundström, J. Sung, Y.-T. Sunyer, J. Suriyawongpaisal, P. Swinburn, B.A. Sy, R.G. Syddall, H.E. Sylva, R.C. Szklo, M. Szponar, L. Tai, E.S. Tammesoo, M.-L. Tamosiunas, A. Tan, E.J. Tang, X. Tanrygulyyeva, M. Tanser, F. Tao, Y. Tarawneh, M.R. Tarp, J. Tarqui-Mamani, C.B. Braunerová, R.T. Taylor, A. Taylor, J. Tchibindat, F. Tebar, W.R. Tell, G.S. Tello, T. Tham, Y.C. Thankappan, K.R. Theobald, H. Theodoridis, X. Thijs, L. Thomas, N. Thuesen, B.H. Tichá, L. Timmermans, E.J. Tjonneland, A. Tolonen, H.K. Tolstrup, J.S. Topbas, M. Topór-Madry, R. Torheim, L.E. Tormo, M.J. Tornaritis, M.J. Torrent, M. Torres-Collado, L. Toselli, S. Touloumi, G. Traissac, P. Tran, T.T.-H. Trichopoulos, D. Trichopoulou, A. Trinh, D.T.H. Trivedi, A. Tshepo, L. Tsigga, M. Tsugane, S. Tuliakova, A.M. Tulloch-Reid, M.K. Tullu, F. Tuomainen, T.-P. Tuomilehto, J. Turley, M.L. Twig, G. Tynelius, P. Tzotzas, T. Tzourio, C. Ueda, P. Ugel, E. Ukoli, F.A.M. Ulmer, H. Unal, B. Usupova, Z. Uusitalo, H.M.T. Uysal, N. Vaitkeviciute, J. Valdivia, G. Vale, S. Valvi, D. van Dam, R.M. Van der Heyden, J. van der Schouw, Y.T. Van Herck, K. Van Minh, H. Van Schoor, N.M. van Valkengoed, I.G.M. Vanderschueren, D. Vanuzzo, D. Varbo, A. Varela-Moreiras, G. Varona-Pérez, P. Vasan, S.K. Vega, T. Veidebaum, T. Velasquez-Melendez, G. Velika, B. Veronesi, G. Verschuren, W.M.M. Victora, C.G. Viegi, G. Viet, L. Villalpando, S. Vineis, P. Vioque, J. Virtanen, J.K. Visser, M. Visvikis-Siest, S. Viswanathan, B. Vladulescu, M. Vlasoff, T. Vocanec, D. Vollenweider, P. Völzke, H. Voutilainen, A. Voutilainen, S. Vrijheid, M. Vrijkotte, T.G.M. Wade, A.N. Wagner, A. Waldhör, T. Walton, J. Wambiya, E.O.A. Bebakar, A.M.W. Mohamud, W.N.W. de Souza Wanderley Júnior, R. Wang, M.-D. Wang, N. Wang, Q. Wang, X. Wang, Y.X. Wang, Y.-W. Wannamethee, S.G. Wareham, N. Weber, A. Wedderkopp, N. Weerasekera, D. Weghuber, D. Wei, W. Weres, A. Werner, B. Whincup, P.H. Widhalm, K. Widyahening, I.S. Wiecek, A. Wilks, R.J. Willeit, J. Willeit, P. Williams, J. Wilsgaard, T. Wojtyniak, B. Wong-McClure, R.A. Wong, A. Wong, J.E. Wong, T.Y. Woo, J. Woodward, M. Wu, F.C. Wu, J. Wu, L.J. Wu, S. Xu, H. Xu, L. Yaacob, N.A. Yamborisut, U. Yan, W. Yang, L. Yang, X. Yang, Y. Yardim, N. Yaseri, M. Yasuharu, T. Ye, X. Yiallouros, P.K. Yoosefi, M. Yoshihara, A. You, Q.S. You, S.-L. Younger-Coleman, N.O. Yusof, S.M. Yusoff, A.F. Zaccagni, L. Zafiropulos, V. Zainuddin, A.A. Zakavi, S.R. Zamani, F. Zambon, S. Zampelas, A. Zamrazilová, H. Zapata, M.E. Zargar, A.H. Zaw, K.K. Zdrojewski, T. Zejglicova, K. Vrkic, T.Z. Zeng, Y. Zhang, L. Zhang, Z.-Y. Zhao, D. Zhao, M.-H. Zhao, W. Zhen, S. Zheng, W. Zheng, Y. Zholdin, B. Zhou, M. Zhu, D. Zins, M. Zitt, E. Zocalo, Y. Cisneros, J.Z. Zuziak, M. Ezzati, M. Filippi, S. NCD Risk Factor Collaboration (NCD-RisC)
Subjects: nutritional and metabolic diseases, sense organs, skin and connective tissue diseases
Abstract: From 1985 to 2016, the prevalence of underweight decreased, and that of obesity and severe obesity increased, in most regions, with significant variation in the magnitude of these changes across regions. We investigated how much change in mean body mass index (BMI) explains changes in the prevalence of underweight, obesity, and severe obesity in different regions using data from 2896 population-based studies with 187 million participants. Changes in the prevalence of underweight and total obesity, and to a lesser extent severe obesity, are largely driven by shifts in the distribution of BMI, with smaller contributions from changes in the shape of the distribution. In East and Southeast Asia and sub-Saharan Africa, the underweight tail of the BMI distribution was left behind as the distribution shifted. There is a need for policies that address all forms of malnutrition by making healthy foods accessible and affordable, while restricting unhealthy foods through fiscal and regulatory restrictions. © Copyright.
Published: 2021

29. Impact of thearubigins on the estimation of total dietary flavonoids in the European Prospective Investigation into Cancer and Nutrition (EPIC) study

Author: Zamora-Ros, R., Knaze, V., Romieu, I., Scalbert, A., Slimani, N., Clavel-Chapelon, F., Touillaud, M., Perquier, F., Skeie, G., Engeset, D., Weiderpass, E., Johansson, I., Landberg, R., Bueno-de-Mesquita, H.B., Sieri, S., Masala, G., Peeters, P.H.M., Grote, V., Huerta, J.M., Barricarte, A., Amiano, P., Crowe, F.L., Molina-Montes, E., Khaw, K.-T., Arguelles, M.V., Tjonneland, A., Halkjaer, J., de Magistris, M.S., Ricceri, F., Tumino, R., Wirfalt, E., Ericson, U., Overvad, K., Trichopoulou, A., Dilis, V., Vidalis, P., Boeing, H., Forster, J., Riboli, E., and Gonzalez, C.A.
Subjects: Polyphenols -- Nutritional aspects, Food/cooking/nutrition, Health
Abstract: Thearubigins (TR) are polymeric flavanol-derived compounds formed during the fermentation of tea leaves. Comprising ~70% of total polyphenols in black tea, TR may contribute majorly to its beneficial effects on health. To date, there is no appropriate food composition data on TR, although several studies have used data from the US Department of Agriculture (USDA) database to estimate TR intakes. We aimed to estimate dietary TR in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort and assess the impact of including TR or not in the calculation of the total dietary flavonoid intake. Dietary data were collected using a single standardized 24-h dietary recall interviewer-administered to 36037 subjects aged 35-74 years. TR intakes were calculated using the USDA database. TR intakes ranged from 0.9 mg/day in men from Navarra and San Sebastian in Spain to 532.5 mg/day in men from UK general population. TR contributed European Journal of Clinical Nutrition (2013) 67, 779-782; doi: 10.1038/ejcn.2013.89; published online 24 April 2013 Keywords: thearubigins; flavonoids; dietary intake; sources; EPIC, INTRODUCTION Nowadays, much attention is paid to black tea due to its potential role in chronic disease prevention, such as cardiovascular disease (1) and some types of cancer, such as [...]
Published: 2013
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30. Cytokine gene polymorphisms and the risk of adenocarcinoma of the stomach in the European prospective investigation into cancer and nutrition (EPIC-EURGAST)

Author: Crusius, J.B.A., Canzian, F., Capellá, G., Peña, A.S., Pera, G., Sala, N., Agudo, A., Rico, F., Del Giudice, G., Palli, D., Plebani, M., Boeing, H., Bueno-de-Mesquita, H.B., Carneiro, F., Pala, V., Save, V.E., Vineis, P., Tumino, R., Panico, S., Berglund, G., Manjer, J., Stenling, R., Hallmans, G., Martínez, C., Dorronsoro, M., Barricarte, A., Navarro, C., Quirós, J.R., Allen, N., Key, T.J., Binghan, S., Caldas, C., Linseisen, J., Kaaks, R., Overvad, K., Tjønneland, A., Büchner, F.C., Peeters, P.H.M., Numans, M.E., Clavel-Chapelon, F., Trichopoulou, A., Lund, E., Jenab, M., Rinaldi, S., Ferrari, P., Riboli, E., and González, C.A.
Published: 2008
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31. Diet and hip fractures among elderly Europeans in the EPIC cohort

Author: Benetou, V., Orfanos, P., Zylis, D., Sieri, S., Contiero, P., Tumino, R., Giurdanella, M.C., Peeters, P.H.M., Linseisen, J., Nieters, A., Boeing, H., Weikert, C., Pettersson, U., Johansson, I., Bueno-de-Mesquita, H.B., Dorronsoro, M., Boffetta, P., and Trichopoulou, A.
Subjects: Aged patients -- Physiological aspects -- Demographic aspects -- Health aspects -- Methods, Alfacalcidol -- Health aspects -- Methods -- Physiological aspects, Hip joint -- Fractures, Calcifediol -- Health aspects -- Methods -- Physiological aspects, Vitamin D -- Health aspects -- Methods -- Physiological aspects, Diet -- Management -- Health aspects -- Methods -- Physiological aspects, Cohort analysis -- Methods -- Health aspects -- Physiological aspects, Company business management, Food/cooking/nutrition, Health
Abstract: Background/Objectives: Evidence on the role of diet during adulthood and beyond on fracture occurrence is limited. We investigated diet and hip fracture incidence in a population of elderly Europeans, participants in the European Prospective Investigation into Cancer and nutrition study. Subjects/Methods: 29122 volunteers (10538 men, 18584 women) aged 60 years and above (mean age: 64.3) from five countries were followed up for a median of 8 years and 275 incident hip fractures (222 women and 53 men) were recorded. Diet was assessed at baseline through validated dietary questionnaires. Data were analyzed through Cox proportional- hazards regression with adjustment for potential confounders. Results: No food group or nutrient was significantly associated with hip fracture occurrence. There were suggestive inverse associations, however, with vegetable consumption (hazard ratio (HR) per increasing sex-specific quintile: 0.93, 95% confidence interval (CI): 0.85-1.01), fish consumption (HR per increasing sex-specific quintile: 0.93, 95% CI: 0.85-1.02) and polyunsaturated lipid intake (HR per increasing sex-specific quintile: 0.92, 95% CI: 0.82-1.02), whereas saturated lipid intake was positively associated with hip fracture risk (HR per increasing sex-specific quintile: 1.13, 95% CI: 0.99-1.29). Consumption of dairy products did not appear to influence the risk (HR per increasing sex-specific quintile: 1.02, 95% CI: 0.93- 1.12). Conclusions: In a prospective study of the elderly, diet, including consumption of dairy products, alcohol and vitamin D, did not appear to play a major role in hip fracture incidence. There is however, weak and statistically non-significant evidence that vegetable and fish consumption and intake of polyunsaturated lipids may have a beneficial, whereas saturated lipid intake a detrimental effect. European Journal of Clinical Nutrition (2011) 65,132-139; doi: 10.1038/ejcn.2010.226; published online 13 October 2010 Keywords: hip fractures; diet; nutrients; risk factors; elderly, Introduction Bone fractures constitute a major public health problem among the elderly worldwide (Cummings and Melton, 2002; Johnell and Kanis, 2006). In the year 2000, there were an estimated 9 [...]
Published: 2011
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32. Dietary glycaemic index and glycaemic load in the European Prospective Investigation into Cancer and Nutrition

Author: van Bakel, M.M.E., Kaaks, R., Feskens, E.J.M., Rohrmann, S., Welch, A.A., Pala, V., Avloniti, K., van der Schouw, Y.T., van der A, D.L., Du, H., Halkjaer, J., Tormo, M.J., Cust, A.E., Brighenti, F., Beulens, J.W., Ferrari, P., Biessy, C., Lentjes, M., Spencer, E.A., Panico, S., Masala, G., Bueno-de-Mesquita, H.B., Peeters, P.H.M., Trichopoulou, A., Psaltopoulou, T., Clavel-Chapelon, F., Touvier, M., Skeie, G., Rinaldi, S., Sonestedt, E., Johansson, I., Schulze, M., Ardanaz, E., Buckland, G., Tjonneland, A., Overvad, K., Bingham, S., Riboli, E., and Slimani, N.
Subjects: Carbohydrates -- Nutritional aspects -- Identification and classification -- Research, Sugars in human nutrition -- Research -- Nutritional aspects, Cancer -- Research -- Nutritional aspects, Glycemic index -- Research -- Nutritional aspects, Food/cooking/nutrition, Health
Abstract: Objectives: To describe dietary glycaemic index (GI) and glycaemic load (GL) values in the population participating in the European Prospective Investigation into Cancer and Nutrition (EPIC) study according to food groups, nutrients and lifestyle characteristics. Methods: Single 24-h dietary recalls (24-HDRs) from 33 566 subjects were used to calculate dietary GI and GL, and an ad hoc database was created as the main reference source. Mean GI and GL intakes were adjusted for age, total energy intake, height and weight, and were weighted by season and day of recall. Results: GI was the lowest in Spain and Germany, and highest in the Netherlands, United Kingdom and Denmark for both genders. In men, GL was the lowest in Spain and Germany and highest in Italy, whereas in women, it was the lowest in Spain and Greece and highest in the UK health-conscious cohort. Bread was the largest contributor to GL in all centres (15-45%), but it also showed the largest inter-individual variation. GL, but not GI, tended to be lower in the highest body mass index category in both genders. GI was positively correlated with starch and intakes of bread and potatoes, whereas it was correlated negatively with intakes of sugar, fruit and dairy products. GL was positively correlated with all carbohydrate components and intakes of cereals, whereas it was negatively correlated with fat and alcohol and with intakes of wine, with large variations across countries. Conclusions: GI means varied modestly across countries and genders, whereas GL means varied more, but it may possibly act as a surrogate of carbohydrate intake. doi: 10.1038/ejcn.2009.81 Keywords: glycaemic index; glycaemic load; 24-h dietary recall; EPIC; ENDB; standardization, Introduction Carbohydrates are traditionally classified according to their saccharide chain length as 'simple sugar' or 'complex carbohydrate'. However, Jenkins et al. (1981) developed a more physiological classification on the basis [...]
Published: 2009
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33. A bivariate measurement error model for nitrogen and potassium intakes to evaluate the performance of regression calibration in the European Prospective Investigation into Cancer and Nutrition study

Author: Ferrari, P., Roddam, A., Fahey, M.T., Jenab, M., Bamia, C., Ocke, M., Amiano, P., Hjartaker, A., Biessy, C., Rinaldi, S., Huybrechts, I., Tjonneland, A., Dethlefsen, C., Niravong, M., Clavel-Chapelon, F., Linseisen, J., Boeing, H., Oikonomou, E., Orfanos, P., Palli, D., Santucci de Magistris, M., Bueno-de-Mesquita, H.B., Peeters, P.H.M., Parr, C.L., Braaten, T., Dorronsoro, M., Berenguer, T., Gullberg, B., Johansson, I., Welch, A.A., Riboli, E., Bingham, S., and Slimani, N.
Subjects: Oncology, Experimental -- Health aspects -- Measurement -- Methods, Nutrition -- Product/Service Evaluations, Potassium in the body -- Health aspects -- Measurement -- Methods, Cancer -- Research, Nitrogen in the body -- Health aspects -- Measurement -- Methods, Food/cooking/nutrition, Health
Abstract: Objectives: Within the European Prospective Investigation into Cancer and Nutrition (EPIC) study, the performance of 24-h dietary recall (24-HDR) measurements as reference measurements in a linear regression calibration model is evaluated critically at the individual (within-centre) and aggregate (between-centre) levels by using unbiased estimates of urinary measurements of nitrogen and potassium intakes. Methods: Between 1995 and 1999, 1072 study subjects (59% women) from 12 EPIC centres volunteered to collect 24-h urine samples. Log-transformed questionnaire, 24-HDR and urinary measurements of nitrogen and potassium intakes were analysed in a multivariate measurement error model to estimate the validity of coefficients and error correlations in self-reported dietary measurements. In parallel, correlations between means of 24-HDR and urinary measurements were computed. Linear regression calibration models were used to estimate the regression dilution (attenuation) factors. Results: After adjustment for sex, centre, age, body mass index and height, the validity coefficients for 24-HDRs were 0.285 (95% confidence interval: 0.194, 0.367) and 0.371 (0.291, 0.446) for nitrogen and potassium intakes, respectively. The attenuation factors estimated in a linear regression calibration model were 0.368 (0.228, 0.508) for nitrogen and 0.500 (0.361, 0.639) for potassium intakes; only the former was different from the estimate obtained using urinary measurements in the measurement error model. The aggregate-level correlation coefficients between means of urinary and 24-HDR measurements were 0.838 (0.637, 0.932) and 0.756 (0.481, 0.895) for nitrogen and potassium intakes, respectively. Conclusions: This study suggests that 24-HDRs can be used as reference measurements at the individual and aggregate levels for potassium intake, whereas, for nitrogen intake, good performance is observed for between-centre calibration, but some limitations are apparent at the individual level. Keywords: measurement errors; urinary measurements; EPIC; 24-h dietary recall; EPIC-SOFT doi: 10.1038/ejcn.2009.80, Introduction The accuracy of dietary assessment instruments used in nutritional epidemiology studies, that is, questionnaires such as food frequency questionnaires or dietary histories, has been repeatedly questioned (Freedman et al., [...]
Published: 2009
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34. Alcohol consumption patterns, diet and body weight in 10 European countries

Author: Sieri, S., Krogh, V., Saieva, C., Grobbee, D.E., Bergmann, M., Rohrmann, S., Tjonneland, A., Ferrari, P., Chloptsios, Y., Dilis, V., Jenab, M., Linseisen, J., Wallstrom, P., Johansson, I., Chirlaque, M.D., Sanchez, M.J., Niravong, M., Clavel-Chapelon, F., Welch, A.A., Allen, N.E., Bueno-de-Mesquita, H.B., van der Schouw, Y.T., Sacerdote, C., Panico, S., Parr, C.L., Braaten, T., Olsen, A., Jensen, M.K., Bingham, S., Riboli, E., and Slimani, N.
Subjects: Drinking of alcoholic beverages -- Health aspects -- Demographic aspects -- Analysis, Body weight -- Analysis -- Health aspects, Diet -- Health aspects -- Analysis, Food/cooking/nutrition, Health
Abstract: Background/objectives: Europe has the highest level of alcohol consumption in the world. As drinking patterns are important determinants of the beneficial and harmful effects of alcohol consumption, we investigated alcohol consumption in relation to nutrient intake, place of consumption, education and body weight in a sample of adults from 10 European countries. Methods: A 24-h dietary recall interview was conducted on 13 025 men and 23 009 women, aged 35-74 years, from 27 centres participating in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Means and standard errors of alcohol consumption, adjusted for age, were calculated, stratified by gender and centre. Results: In many centres, higher level drinkers (males consuming >24 g of ethanol/day, equivalent to 42 standard drinks and females consuming >12 g of ethanol/day equivalent to >1 standard drink) obtained more energy from fat and protein and less from sugar than did abstainers. The proportion of energy from starch tended to be higher for male and lower for female higher level drinkers than for abstainers. Female higher level drinkers had a lower body mass index than did abstainers, whereas male higher level drinkers generally weighed more. Male higher level drinkers were less educated than abstainers in Mediterranean countries, but were more educated elsewhere. Female higher level drinkers were usually more educated than were abstainers. Outside the home, consumption (both genders) tended to be at friends' homes, particularly among men in Northern and Central Europe, and in bars in Spain. Conclusions: This study reveals clear geographical differences in drinking habits across Europe, and shows that the characteristics of different alcohol consumption categories also vary. doi: 10.1038/ejcn.2009.76 Keywords: Alcohol; EPIC; 24-h dietary recall; EPIC-Soft; ENDB, Introduction Europe has the highest level of alcohol consumption in the world (Rehm et al., 2003a). Studies on drinking patterns across Europe, in terms of place of consumption, types of [...]
Published: 2009
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35. Dietary fat intake in the European Prospective Investigation into Cancer and Nutrition: results from the 24-h dietary recalls

Author: Linseisen, J., Welch, A.A., Ocke, M., Amiano, P., Agnoli, C., Ferrari, P., Sonestedt, E., Chajes, V., Bueno-de-Mesquita, H.B., Kaaks, R., Weikert, C., Dorronsoro, M., Rodriguez, L., Ermini, I., Mattiello, A., van der Schouw, Y.T., Manjer, J., Nilsson, S., Jenab, M., Lund, E., Brustad, M., Halkjaer, J., Jakobsen, M.U., Khaw, K.T., Crowe, F., Georgila, C., Misirli, G., Niravong, M., Touvier, M., Bingham, S., Riboli, E., and Slimani, N.
Subjects: Cholesterol -- Health aspects, Dietary fat -- Health aspects, Cancer -- Risk factors, Diet -- Health aspects, Food/cooking/nutrition, Health
Abstract: Objectives: This paper describes the dietary intake of total fat, saturated (SFA), monounsaturated (MUFA) and polyunsaturated fatty acids (PUFA) and cholesterol of participants in the European Prospective Investigation into Cancer and Nutrition (EPIC) in 27 centres across 10 countries. Methods: Between 1995 and 2000, a stratified random sample of 36 034 participants (age range 35-74 years) completed a standardized 24-h dietary recall, assessed by means of the computer software EPIC-SOFT. Lipid intake data were calculated using a standardized nutrient database. Results: On average, the contribution of fat to total energy intake was ≥ 34% of energy intake (%en) in women and ≥ 36%en in men for most EPIC centres, except for the British, Dutch and most Italian cohorts. Total fat (440%en) and MUFA intakes (21%en, mainly from olive oil) were highest in Greece. Except for the Greek, Spanish and Italian centres, the average MUFA intake ranged between 10 and 13%en, with a high proportion derived from animal sources. SFA intake in women and men was lowest in the Greek, Spanish, Italian and UK cohorts with an average of ≤ 13%en (down to 9%en), and highest in the Swedish centres (16%en). The mean PUFA intake was in the range of 4-8%en, being highest in the UK health-conscious cohort. The average cholesterol intake across EPIC varied from 140 to 384 mg/d in women and 215-583 mg/d in men. Conclusions: The presented data show differences and similarities in lipid intake across the European EPIC cohorts and also show differences in food sources of dietary lipids. doi: 10.1038/ejcn.2009.75 Keywords: EPIC; 24-h diet recalls; dietary intake; lipids; EPIC-Soft; ENDB, Introduction Diet has a major impact on modulating the risk and severity of a number of chronic diseases including obesity and obesity-related metabolic disorders, cardiovascular diseases and cancer. Among macronutrients, [...]
Published: 2009
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36. Energy intake and sources of energy intake in the European Prospective Investigation into Cancer and Nutrition

Author: Ocke, M.C., Larranaga, N., Grioni, S., van den Berg, S.W., Ferrari, P., Salvini, S., Benetou, V., Linseisen, J., Wirfalt, E., Rinaldi, S., Jenab, M., Halkjaer, J., Jakobsen, M.U., Niravong, M., Clavel-Chapelon, F., Kaaks, R., Bergmann, M., Moutsiou, E., Trichopoulou, A., Lauria, C., Sacerdote, C., Bueno-de-Mesquita, H.B., Peeters, P.H.M., Hjartaker, A., Parr, C.L., Tormo, M.J., Sanchez, M.J., Manjer, J., Hellstrom, V., Mulligan, A., Spencer, E.A., Riboli, E., Bingham, S., and Slimani, N.
Subjects: Oncology, Experimental -- Methods -- Health aspects, Cancer -- Research, Diet -- Health aspects -- Demographic aspects -- Research -- Methods, Food/cooking/nutrition, Health
Abstract: Objectives: To describe energy intake and its macronutrient and food sources among 27 regions in 10 countries participating in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Methods: Between 1995 and 2000, 36034 subjects aged 35-74 years were administered a standardized 24-h dietary recall. Intakes of macronutrients (g/day) and energy (kcal/day) were estimated using standardized national nutrient databases. Mean intakes were weighted by season and day of the week and were adjusted for age, height and weight, after stratification by gender. Extreme low- and high-energy reporters were identified using Goldberg's cutoff points (ratio of energy intake and estimated basal metabolic rate 2.72), and their effects on macronutrient and energy intakes were studied. Results: Low-energy reporting was more prevalent in women than in men. The exclusion of extreme-energy reporters substantially lowered the EPIC-wide range in mean energy intake from 2196-2877 to 2309-2866 kcal among men. For women, these ranges were 1659-2070 and 1873-2108 kcal. There was no north-south gradient in energy intake or in the prevalence of low-energy reporting. In most centres, cereals and cereal products were the largest contributors to energy intake. The food groups meat, dairy products and fats and oils were also important energy sources. In many centres, the highest mean energy intakes were observed on Saturdays. Conclusions: These data highlight and quantify the variations and similarities in energy intake and sources of energy intake among 10 European countries. The prevalence of low-energy reporting indicates that the study of energy intake is hampered by the problem of underreporting. Keywords: energy intake; underreporting; dietary fat; 24-h dietary recall; Europe; EPIC-soft doi: 10.1038/ejcn.2009.72, Introduction Nowadays, in Europe, an enormously rich variety of foods is available on the market, and this very abundance, especially of energy-dense foods and drinks, is considered to be one [...]
Published: 2009
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37. General and abdominal adiposity and risk of death in Europe

Author: Pischon, T., Boeing, H, Hoffmann, K., Bergmann, M., Schulze, M.B., Overvad, K., van der Schouw, Y.T., Spencer E., Moons, K.G.M., Tjonneland, A., Halkjaer, J., Jensen, M.K., Stegger, J., Clavel-Chapelon, F., Boutron-Ruault, M.C., Chajes, V., Linseisen, J., Kaaks, R., Trichopoulou, A., Trichopoulou, D., Bamia, C., Sieri, S., Palli, D., Tumino, R., Vineis, P., Panico, S., Peeters, P.H.M., May, A.M., Bueno-de-Mesquita, H.B, van Duijnhoven, F.J.B., Hallmans, G., Weinehall, L., Manjer, J., Hedblad, B., Lund, E., Agudo, A., Arriola, L., Barricarte, A., Navarro, C., Martinez, C., Quiros, J.R., Key, T., Bingham, S., Khaw, K.T., Chir, B., Boffetta, P., Jenab, M., Ferrari, P., and Riboli, E.
Subjects: Body mass index -- Research, Obesity -- Risk factors, Europe -- Health aspects
Abstract: The study aims to investigate whether general and abdominal adiposity is a contributory factor in increasing the risk of death in Europe. The results indicate that both general and abdominal adiposity are associated with a higher risk of death.
Published: 2008

38. Polyphenol intake and differentiated thyroid cancer risk in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort

Author: Zamora-Ros, R., Cayssials, V., Franceschi, S., Kyrø, C., Weiderpass, E., Hennings, J., Sandström, M., Tjønneland, A., Olsen, A., Overvad, K., Boutron-Ruault, M.-C., Truong, T., Mancini, F.R., Katzke, V., Kühn, T., Boeing, H., Trichopoulou, A., Karakatsani, A., Martimianaki, G., Palli, D., Krogh, V., Panico, S., Tumino, R., Sacerdote, C., Lasheras, C., Rodríguez-Barranco, M., Amiano, P., Colorado-Yohar, S.M., Ardanaz, E., Almquist, M., Ericson, U., Bueno-de-Mesquita, H.B., Vermeulen, R., Byrnes, G., Scalbert, A., Agudo, A., Rinaldi, S., IRAS OH Epidemiology Chemical Agents, and dIRAS RA-2
Subjects: flavonoids, thyroid cancer, cohort, EPIC, intake, polyphenols
Abstract: Polyphenols are bioactive compounds with several anticarcinogenic activities; however, human data regarding associations with thyroid cancer (TC) is still negligible. Our aim was to evaluate the association between intakes of total, classes and subclasses of polyphenols and risk of differentiated TC and its main subtypes, papillary and follicular, in a European population. The European Prospective Investigation into Cancer and Nutrition cohort included 476,108 men and women from 10 European countries. During a mean follow-up of 14 years, there were 748 incident differentiated TC cases, including 601 papillary and 109 follicular tumors. Polyphenol intake was estimated at baseline using validated center/country-specific dietary questionnaires and the Phenol-Explorer database. In multivariable-adjusted Cox regression models, no association between total polyphenol and the risks of overall differentiated TC (HRQ4 vs. Q1 = 0.99, 95% confidence interval [CI] 0.77–1.29), papillary (HRQ4 vs. Q1 = 1.06, 95% CI 0.80–1.41) or follicular TC (HRQ4 vs. Q1 = 1.10, 95% CI 0.55–2.22) were found. No associations were observed either for flavonoids, phenolic acids or the rest of classes and subclasses of polyphenols. After stratification by body mass index (BMI), an inverse association between the intake of polyphenols (p-trend = 0.019) and phenolic acids (p-trend = 0.007) and differentiated TC risk in subjects with BMI ≥ 25 was observed. In conclusion, our study showed no associations between dietary polyphenol intake and differentiated TC risk; although further studies are warranted to investigate the potential protective associations in overweight and obese individuals.
Published: 2020

39. Healthy lifestyle and the risk of pancreatic cancer in the EPIC study

Author: Naudin, S. Viallon, V. Hashim, D. Freisling, H. Jenab, M. Weiderpass, E. Perrier, F. McKenzie, F. Bueno-de-Mesquita, H.B. Olsen, A. Tjønneland, A. Dahm, C.C. Overvad, K. Mancini, F.R. Rebours, V. Boutron-Ruault, M.-C. Katzke, V. Kaaks, R. Bergmann, M. Boeing, H. Peppa, E. Karakatsani, A. Trichopoulou, A. Pala, V. Masala, G. Panico, S. Tumino, R. Sacerdote, C. May, A.M. van Gils, C.H. Rylander, C. Borch, K.B. Chirlaque López, M.D. Sánchez, M.-J. Ardanaz, E. Quirós, J.R. Amiano Exezarreta, P. Sund, M. Drake, I. Regnér, S. Travis, R.C. Wareham, N. Aune, D. Riboli, E. Gunter, M.J. Duell, E.J. Brennan, P. Ferrari, P.
Abstract: Pancreatic cancer (PC) is a highly fatal cancer with currently limited opportunities for early detection and effective treatment. Modifiable factors may offer pathways for primary prevention. In this study, the association between the Healthy Lifestyle Index (HLI) and PC risk was examined. Within the European Prospective Investigation into Cancer and Nutrition cohort, 1113 incident PC (57% women) were diagnosed from 400,577 participants followed-up for 15 years (median). HLI scores combined smoking, alcohol intake, dietary exposure, physical activity and, in turn, overall and central adiposity using BMI (HLIBMI) and waist-to-hip ratio (WHR, HLIWHR), respectively. High values of HLI indicate adherence to healthy behaviors. Cox proportional hazard models with age as primary time variable were used to estimate PC hazard ratios (HR) and 95% confidence intervals (CI). Sensitivity analyses were performed by excluding, in turn, each factor from the HLI score. Population attributable fractions (PAF) were estimated assuming participants’ shift to healthier lifestyles. The HRs for a one-standard deviation increment of HLIBMI and HLIWHR were 0.84 (95% CI: 0.79, 0.89; ptrend = 4.3e−09) and 0.77 (0.72, 0.82; ptrend = 1.7e−15), respectively. Exclusions of smoking from HLIWHR resulted in HRs of 0.88 (0.82, 0.94; ptrend = 4.9e−04). The overall PAF estimate was 19% (95% CI: 11%, 26%), and 14% (6%, 21%) when smoking was removed from the score. Adherence to a healthy lifestyle was inversely associated with PC risk, beyond the beneficial role of smoking avoidance. Public health measures targeting compliance with healthy lifestyles may have an impact on PC incidence. © 2019, Springer Nature B.V.
Published: 2020

40. Gallbladder disease, cholecystectomy, and pancreatic cancer risk in the International Pancreatic Cancer Case-Control Consortium (PanC4)

Author: Rosato, V. Negri, E. Bosetti, C. Malats, N. Gomez-Rubio, P. Consortium, P. Maisonneuve, P. Miller, A.B. Bueno-De-Mesquita, H.B. Baghurst, P.A. Zatonski, W. Petersen, G.M. Scelo, G. Holcatova, I. Fabianova, E. Serraino, D. Olson, S.H. Vioque, J. Lagiou, P. Duell, E.J. Boffetta, P. La Vecchia, C.
Abstract: Background The association among gallbladder disease, cholecystectomy, and pancreatic cancer is unclear. Moreover, time interval between gallbladder disease or cholecystectomy and pancreatic cancer diagnosis is not considered in most previous studies. Aim To quantify the association among gallbladder disease, cholecystectomy, and pancreatic cancer, considering time since first diagnosis of gallbladder disease or cholecystectomy. Methods We used data from nine case-control studies within the Pancreatic Cancer Case-Control Consortium, including 5760 cases of adenocarcinoma of the exocrine pancreas and 8437 controls. We estimated pooled odds ratios and the corresponding 95% confidence intervals by estimating study-specific odds ratios through multivariable unconditional logistic regression models, and then pooling the obtained estimates using fixed-effects models. Results Compared with patients with no history of gallbladder disease, the pooled odds ratio of pancreatic cancer was 1.69 (95% confidence interval, 1.51-1.88) for patients reporting a history of gallbladder disease. The odds ratio was 4.90 (95% confidence interval, 3.45-6.97) for gallbladder disease diagnosed
Published: 2020

41. Intake of individual fatty acids and risk of prostate cancer in the European prospective investigation into cancer and nutrition

Author: Perez-Cornago, A. Huybrechts, I. Appleby, P.N. Schmidt, J.A. Crowe, F.L. Overvad, K. Tjønneland, A. Kühn, T. Katzke, V. Trichopoulou, A. Karakatsani, A. Peppa, E. Grioni, S. Palli, D. Sacerdote, C. Tumino, R. Bueno-de-Mesquita, H.B. Larrañaga, N. Sánchez, M.-J. Quirós, J.R. Ardanaz, E. Chirlaque, M.-D. Agudo, A. Bjartell, A. Wallström, P. Chajes, V. Tsilidis, K.K. Aune, D. Riboli, E. Travis, R.C. Key, T.J.
Abstract: The associations of individual dietary fatty acids with prostate cancer risk have not been examined comprehensively. We examined the prospective association of individual dietary fatty acids with prostate cancer risk overall, by tumor subtypes, and prostate cancer death. 142,239 men from the European Prospective Investigation into Cancer and Nutrition who were free from cancer at recruitment were included. Dietary intakes of individual fatty acids were estimated using center-specific validated dietary questionnaires at baseline and calibrated with 24-h recalls. Multivariable Cox regression models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). After an average follow-up of 13.9 years, 7,036 prostate cancer cases and 936 prostate cancer deaths were ascertained. Intakes of individual fatty acids were not related to overall prostate cancer risk. There was evidence of heterogeneity in the association of some short chain saturated fatty acids with prostate cancer risk by tumor stage (pheterogeneity < 0.015), with a positive association with risk of advanced stage disease for butyric acid (4:0; HR1SD = 1.08; 95%CI = 1.01–1.15; p-trend = 0.026). There were no associations with fatal prostate cancer, with the exception of a slightly higher risk for those who consumed more eicosenoic acid (22:1n-9c; HR1SD = 1.05; 1.00–1.11; p-trend = 0.048) and eicosapentaenoic acid (20:5n-3c; HR1SD = 1.07; 1.00–1.14; p-trend = 0.045). There was no evidence that dietary intakes of individual fatty acids were associated with overall prostate cancer risk. However, a higher intake of butyric acid might be associated with a higher risk of advanced, whereas intakes of eicosenoic and eicosapentaenoic acids might be positively associated with fatal prostate cancer risk. © 2019 The Authors. International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC
Published: 2020

42. Polyphenol intake and differentiated thyroid cancer risk in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort

Author: Zamora-Ros, R. Cayssials, V. Franceschi, S. Kyrø, C. Weiderpass, E. Hennings, J. Sandström, M. Tjønneland, A. Olsen, A. Overvad, K. Boutron-Ruault, M.-C. Truong, T. Mancini, F.R. Katzke, V. Kühn, T. Boeing, H. Trichopoulou, A. Karakatsani, A. Martimianaki, G. Palli, D. Krogh, V. Panico, S. Tumino, R. Sacerdote, C. Lasheras, C. Rodríguez-Barranco, M. Amiano, P. Colorado-Yohar, S.M. Ardanaz, E. Almquist, M. Ericson, U. Bueno-de-Mesquita, H.B. Vermeulen, R. Schmidt, J.A. Byrnes, G. Scalbert, A. Agudo, A. Rinaldi, S.
Subjects: food and beverages
Abstract: Polyphenols are bioactive compounds with several anticarcinogenic activities; however, human data regarding associations with thyroid cancer (TC) is still negligible. Our aim was to evaluate the association between intakes of total, classes and subclasses of polyphenols and risk of differentiated TC and its main subtypes, papillary and follicular, in a European population. The European Prospective Investigation into Cancer and Nutrition cohort included 476,108 men and women from 10 European countries. During a mean follow-up of 14 years, there were 748 incident differentiated TC cases, including 601 papillary and 109 follicular tumors. Polyphenol intake was estimated at baseline using validated center/country-specific dietary questionnaires and the Phenol-Explorer database. In multivariable-adjusted Cox regression models, no association between total polyphenol and the risks of overall differentiated TC (HRQ4 vs. Q1 = 0.99, 95% confidence interval [CI] 0.77–1.29), papillary (HRQ4 vs. Q1 = 1.06, 95% CI 0.80–1.41) or follicular TC (HRQ4 vs. Q1 = 1.10, 95% CI 0.55–2.22) were found. No associations were observed either for flavonoids, phenolic acids or the rest of classes and subclasses of polyphenols. After stratification by body mass index (BMI), an inverse association between the intake of polyphenols (p-trend = 0.019) and phenolic acids (p-trend = 0.007) and differentiated TC risk in subjects with BMI ≥ 25 was observed. In conclusion, our study showed no associations between dietary polyphenol intake and differentiated TC risk; although further studies are warranted to investigate the potential protective associations in overweight and obese individuals. © 2019 UICC
Published: 2020

43. Circulating concentrations of vitamin D in relation to pancreatic cancer risk in European populations

Author: Duijnhoven, F.J. van, Jenab, M., Hveem, Kristian, Siersema, P.D., Fedirko, V., Duell, Eric J., Kampman, E., Riboli, Elio, and Bueno-de-Mesquita, H.B.
Subjects: Tumours of the digestive tract Radboud Institute for Health Sciences [Radboudumc 14], All institutes and research themes of the Radboud University Medical Center
Abstract: Contains fulltext : 189766.pdf (Publisher’s version ) (Open Access)
Published: 2018

44. Cooking of meat and fish in Europe--results from the European Prospective Investigation into Cancer and Nutrition (EPIC)

Author: Rohrmann, S., Linseisen, J., Becker, N., Norat, T., Sinha, R., Skeie, G., Lund, E., Martinez, C., Barricarte, A., Mattisson, I., Berglund, G., Welch, A., Davey, G., Overvad, K., Tjonneland, A., Clavel-Chapelon, F., Kesse, E., Lotze, G., Klipstein-Grobusch, K., Vasilopoulou, E., Polychronopoulos, E., Pala, V., Celentano, E., Bueno-de-Mesquita, H.B., Peeters, P.H.M., Riboli, E., and Slimani, N.
Abstract: Objectives: There is epidemiologic evidence that the consumption of fried, grilled or barbecued meat and fish that are welldone or browned may be associated with an increased cancer risk. These high-temperature cooking methods are thought to be surrogates for mutagens and carcinogens produced in meat and fish, eg heterocyclic amines or polycyclic hydrocarbons. Since data on food cooking methods are scarce, the aim of this study was to describe the variation in meat and fish cooking methods in different parts of Europe. Design: Using a standardized 24 h recall from a sub-sample of the EPIC cohort (35 644 persons, 35-75 y old), mean daily intake of meat and fish prepared by different cooking methods and the relative contribution of the cooking methods to the overall cooking of meat and fish was calculated. Results: Whereas frying was more often noted in northern Europe, roasting and stir frying were more often used in the south. Concerning high-temperature cooking methods, their frequency of application varies between 15% in the EPIC cohort of North-Italy and 49% in the cohort of The Netherlands. Average consumption of fried, grilled and barbecued meat and fish ranges from a low of 12 g/day in the centres in southern Spain to a high of 91 g/day in northern Spain. Conclusion: High variation in both the kind of meat/fish consumed as well as its cooking methods is observed within EPIC. In order to use this variation for the evaluation of the impact of cooking methods on cancer risk, a questionnaire on meat and fish cooking methods is being developed and could be applied in the whole EPIC cohort. doi:10.1038/sj.ejcn.1601494 Keywords: EPIC; meat; fish; cooking methods; 24 h recall, Introduction During recent decades, a possible relationship between the methods of meat and fish preparation and the risk of cancer development of different sites has been observed in epidemiological studies [...]
Published: 2002

45. Genetic variation in alcohol dehydrogenase (ADH1A, ADH1B, ADH1C, ADH7) and aldehyde dehydrogenase (ALDH2), alcohol consumption and gastric cancer risk in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort

Author: Duell, Eric J., Sala, Núria, Travier, Noémie, Muñoz, Xavier, Boutron-Ruault, Marie Christine, Clavel-Chapelon, Françoise, Barricarte, Aurelio, Arriola, Larraitz, Navarro, Carmen, Sánchez-Cantalejo, Emilio, Quirós, J.Ramón, Krogh, Vittorio, Vineis, Paolo, Mattiello, Amalia, Tumino, Rosario, Khaw, Kay-Tee, Wareham, Nicholas, Allen, Naomi E., Peeters, Petra H., Numans, Mattijs E., Bueno-de-Mesquita, H.B., van Oijen, M.G.H., Bamia, Christina, Benetou, Vassiliki, Trichopoulos, Dimitrios, Canzian, Federico, Kaaks, Rudolf, Boeing, Heiner, Bergmann, Manuela M., Lund, Eiliv, Ehrnström, Roy, Johansen, Dorthe, Hallmans, Göran, Stenling, Roger, Tjønneland, Anne, Overvad, Kim, Ostergaard, Jane Nautrup, Ferrari, Pietro, Fedirko, Veronika, Jenab, Mazda, Nesi, Gabriella, Riboli, Elio, and González, Carlos A.
Published: 2012
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46. Polymorphisms in fatty acid metabolism-related genes are associated with colorectal cancer risk

Author: Hoeft, Birgit, Linseisen, Jakob, Beckmann, Lars, Müller-Decker, Karin, Canzian, Federico, Hüsing, Anika, Kaaks, Rudolf, Vogel, Ulla, Jakobsen, Marianne U., Overvad, Kim, Hansen, Rikke D., Knüppel, Sven, Boeing, Heiner, Trichopoulou, Antonia, Koumantaki, Yvoni, Trichopoulos, Dimitrios, Berrino, Franco, Palli, Domenico, Panico, Salvatore, Tumino, Rosario, Bueno-de-Mesquita, H.B., van Duijnhoven, Fränzel J.B., van Gils, Carla H., Peeters, Petra H., Dumeaux, Vanessa, Lund, Eiliv, Huerta Castaño, José M., Muñoz, Xavier, Rodriguez, Laudina, Barricarte, Aurelio, Manjer, Jonas, Jirström, Karin, Van Guelpen, Bethany, Hallmans, Göran, Spencer, Elizabeth A., Crowe, Francesca L., Khaw, Kay-Tee, Wareham, Nick, Morois, Sophie, Boutron-Ruault, Marie-Christine, Clavel-Chapelon, Françoise, Chajes, Veronique, Jenab, Mazda, Boffetta, Paolo, Vineis, Paolo, Mouw, Traci, Norat, Teresa, Riboli, Elio, and Nieters, Alexandra
Published: 2010

47. Polymorphisms of genes coding for ghrelin and its receptor in relation to anthropometry, circulating levels of IGF-I and IGFBP-3, and breast cancer risk: a case–control study nested within the European Prospective Investigation into Cancer and Nutrition (EPIC)

Author: Dossus, Laure, McKay, James D., Canzian, Federico, Wilkening, Stefan, Rinaldi, Sabina, Biessy, Carine, Olsen, Anja, Tjønneland, Anne, Jakobsen, Marianne U., Overvad, Kim, Clavel-Chapelon, Françoise, Boutron-Ruault, Marie-Christine, Fournier, Agnes, Linseisen, Jakob, Lukanova, Annekatrin, Boeing, Heiner, Fisher, Eva, Trichopoulou, Antonia, Georgila, Christina, Trichopoulos, Dimitrios, Palli, Domenico, Krogh, Vittorio, Tumino, Rosario, Vineis, Paolo, Quirós, José Ramon, Sala, Núria, Martínez-García, Carmen, Dorronsoro, Miren, Chirlaque, Maria-Dolores, Barricarte, Aurelio, van Duijnhoven, Fränzel J.B., Bueno-de-Mesquita, H.B., van Gils, Carla H., Peeters, Petra H.M., Hallmans, Göran, Lenner, Per, Bingham, Sheila, Khaw, Kay Tee, Key, Tim J., Travis, Ruth C., Ferrari, Pietro, Jenab, Mazda, Riboli, Elio, and Kaaks, Rudolf
Published: 2008

48. Coffee and tea drinking in relation to the risk of differentiated thyroid carcinoma: results from the European Prospective Investigation into Cancer and Nutrition (EPIC) study

Author: Zamora-Ros, R. Alghamdi, M.A. Cayssials, V. Franceschi, S. Almquist, M. Hennings, J. Sandström, M. Tsilidis, K.K. Weiderpass, E. Boutron-Ruault, M.-C. Hammer Bech, B. Overvad, K. Tjønneland, A. Petersen, K.E.N. Mancini, F.R. Mahamat-Saleh, Y. Bonnet, F. Kühn, T. Fortner, R.T. Boeing, H. Trichopoulou, A. Bamia, C. Martimianaki, G. Masala, G. Grioni, S. Panico, S. Tumino, R. Fasanelli, F. Skeie, G. Braaten, T. Lasheras, C. Salamanca-Fernández, E. Amiano, P. Chirlaque, M.-D. Barricarte, A. Manjer, J. Wallström, P. Bueno-de-Mesquita, H.B. Peeters, P.H. Khaw, K.-T. Wareham, N.J. Schmidt, J.A. Aune, D. Byrnes, G. Scalbert, A. Agudo, A. Rinaldi, S.
Abstract: Purpose: Coffee and tea constituents have shown several anti-carcinogenic activities in cellular and animal studies, including against thyroid cancer (TC). However, epidemiological evidence is still limited and inconsistent. Therefore, we aimed to investigate this association in a large prospective study. Methods: The study was conducted in the EPIC (European Prospective Investigation into Cancer and Nutrition) cohort, which included 476,108 adult men and women. Coffee and tea intakes were assessed through validated country-specific dietary questionnaires. Results: During a mean follow-up of 14 years, 748 first incident differentiated TC cases (including 601 papillary and 109 follicular TC) were identified. Coffee consumption (per 100 mL/day) was not associated either with total differentiated TC risk (HRcalibrated 1.00, 95% CI 0.97–1.04) or with the risk of TC subtypes. Tea consumption (per 100 mL/day) was not associated with the risk of total differentiated TC (HRcalibrated 0.98, 95% CI 0.95–1.02) and papillary tumor (HRcalibrated 0.99, 95% CI 0.95–1.03), whereas an inverse association was found with follicular tumor risk (HRcalibrated 0.90, 95% CI 0.81–0.99), but this association was based on a sub-analysis with a small number of cancer cases. Conclusions: In this large prospective study, coffee and tea consumptions were not associated with TC risk. © 2018, Springer-Verlag GmbH Germany, part of Springer Nature.
Published: 2019

49. Haem iron intake and risk of lung cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort

Author: Ward, H.A. Whitman, J. Muller, D.C. Johansson, M. Jakszyn, P. Weiderpass, E. Palli, D. Fanidi, A. Vermeulen, R. Tjønneland, A. Hansen, L. Dahm, C.C. Overvad, K. Severi, G. Boutron-Ruault, M.-C. Affret, A. Kaaks, R. Fortner, R. Boeing, H. Trichopoulou, A. La Vecchia, C. Kotanidou, A. Berrino, F. Krogh, V. Tumino, R. Ricceri, F. Panico, S. Bueno-de-Mesquita, H.B. Peeters, P.H. Nøst, T.H. Sandanger, T.M. Quirós, J.R. Agudo, A. Rodríguez-Barranco, M. Larrañaga, N. Huerta, J.M. Ardanaz, E. Drake, I. Brunnström, H. Johansson, M. Grankvist, K. Travis, R.C. Freisling, H. Stepien, M. Merritt, M.A. Riboli, E. Cross, A.J.
Abstract: Background: Epidemiological studies suggest that haem iron, which is found predominantly in red meat and increases endogenous formation of carcinogenic N-nitroso compounds, may be positively associated with lung cancer. The objective was to examine the relationship between haem iron intake and lung cancer risk using detailed smoking history data and serum cotinine to control for potential confounding. Methods: In the European Prospective Investigation into Cancer and Nutrition (EPIC), 416,746 individuals from 10 countries completed demographic and dietary questionnaires at recruitment. Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for incident lung cancer (n = 3731) risk relative to haem iron, non-haem iron, and total dietary iron intake. A corresponding analysis was conducted among a nested subset of 800 lung cancer cases and 1489 matched controls for whom serum cotinine was available. Results: Haem iron was associated with lung cancer risk, including after adjustment for details of smoking history (time since quitting, number of cigarettes per day): as a continuous variable (HR per 0.3 mg/1000 kcal 1.03, 95% CI 1.00–1.07), and in the highest versus lowest quintile (HR 1.16, 95% CI 1.02–1.32; trend across quintiles: P = 0.035). In contrast, non-haem iron intake was related inversely with lung cancer risk; however, this association attenuated after adjustment for smoking history. Additional adjustment for serum cotinine did not considerably alter the associations detected in the nested case–control subset. Conclusions: Greater haem iron intake may be modestly associated with lung cancer risk. © 2018, Springer Nature Limited.
Published: 2019

50. Circulating insulin-like growth factor I in relation to melanoma risk in the European prospective investigation into cancer and nutrition

Author: Bradbury, K.E. Appleby, P.N. Tipper, S.J. Travis, R.C. Allen, N.E. Kvaskoff, M. Overvad, K. Tjønneland, A. Halkjær, J. Cervenka, I. Mahamat-Saleh, Y. Bonnet, F. Kaaks, R. Fortner, R.T. Boeing, H. Trichopoulou, A. La Vecchia, C. Stratigos, A.J. Palli, D. Grioni, S. Matullo, G. Panico, S. Tumino, R. Peeters, P.H. Bueno-de-Mesquita, H.B. Ghiasvand, R. Veierød, M.B. Weiderpass, E. Bonet, C. Molina, E. Huerta, J.M. Larrañaga, N. Barricarte, A. Merino, S. Isaksson, K. Stocks, T. Ljuslinder, I. Hemmingsson, O. Wareham, N. Khaw, K.-T. Gunter, M.J. Rinaldi, S. Tsilidis, K.K. Aune, D. Riboli, E. Key, T.J.
Abstract: Insulin-like growth factor-I (IGF-I) regulates cell proliferation and apoptosis, and is thought to play a role in tumour development. Previous prospective studies have shown that higher circulating concentrations of IGF-I are associated with a higher risk of cancers at specific sites, including breast and prostate. No prospective study has examined the association between circulating IGF-I concentrations and melanoma risk. A nested case–control study of 1,221 melanoma cases and 1,221 controls was performed in the European Prospective Investigation into Cancer and Nutrition cohort, a prospective cohort of 520,000 participants recruited from 10 European countries. Conditional logistic regression was used to estimate odds ratios (ORs) for incident melanoma in relation to circulating IGF-I concentrations, measured by immunoassay. Analyses were conditioned on the matching factors and further adjusted for age at blood collection, education, height, BMI, smoking status, alcohol intake, marital status, physical activity and in women only, use of menopausal hormone therapy. There was no significant association between circulating IGF-I concentration and melanoma risk (OR for highest vs lowest fifth = 0.93 [95% confidence interval [CI]: 0.71 to 1.22]). There was no significant heterogeneity in the association between IGF-I concentrations and melanoma risk when subdivided by gender, age at blood collection, BMI, height, age at diagnosis, time between blood collection and diagnosis, or by anatomical site or histological subtype of the tumour (Pheterogeneity≥0.078). We found no evidence for an association between circulating concentrations of IGF-I measured in adulthood and the risk of melanoma. © 2018 The Authors. International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC.
Published: 2019

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