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1. Prediagnostic selenium status, selenoprotein gene variants and association with breast cancer risk in a European cohort study

Author

Hughes, David J., Schomburg, Lutz, Jenab, Mazda, Biessy, Carine, Méplan, Catherine, Moskal, Aurelie, Sun, Qian, Demircan, Kamil, Fedirko, Veronika, Weiderpass, Elisabete, Mukhtar, Maryam, Olsen, Anja, Tjønneland, Anne, Overvad, Kim, Schulze, Matthias, Nøst, Therese Haugdahl, Skeie, Guri, Olsen, Karina Standahl, Ricceri, Fulvio, Grioni, Sara, Palli, Domenico, Masala, Giovanna, Tumino, Rosario, Pasanisi, Fabrizio, Amiano, Pilar, Colorado Yohar, Sandra M., Agudo, Antonio, Sánchez, Maria-Jose, Ardanaz, Eva, Sund, Malin, Andersson, Anne, Perez-Cornago, Aurora, Travis, Ruth, Heath, Alicia K., and Dossus, Laure

Published
2023
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3. Main nutrient patterns are associated with prospective weight change in adults from 10 European countries

Author

Freisling, Heinz, Pisa, Pedro T, Ferrari, Pietro, Byrnes, Graham, Moskal, Aurelie, Dahm, Christina C, Vergnaud, Anne-Claire, Boutron-Ruault, Marie-Christine, Fagherazzi, Guy, Cadeau, Claire, Kühn, Tilman, Neamat-Allah, Jasmine, Buijsse, Brian, Boeing, Heiner, Halkjær, Jytte, Tjonneland, Anne, Hansen, Camilla P, Quirós, J Ramón, Travier, Noémie, Molina-Montes, Esther, Amiano, Pilar, Huerta, José M, Barricarte, Aurelio, Khaw, Kay-Tee, Wareham, Nicholas, Key, Tim J, Romaguera, Dora, Lu, Yunxia, Lassale, Camille M, Naska, Androniki, Orfanos, Philippos, Trichopoulou, Antonia, Masala, Giovanna, Pala, Valeria, Berrino, Franco, Tumino, Rosario, Ricceri, Fulvio, de Magistris, Maria Santucci, Bueno-de-Mesquita, H Bas, Ocké, Marga C, Sonestedt, Emily, Ericson, Ulrika, Johansson, Mattias, Skeie, Guri, Weiderpass, Elisabete, Braaten, Tonje, Peeters, Petra HM, and Slimani, Nadia

Subjects
Public Health, Biomedical and Clinical Sciences, Nutrition and Dietetics, Health Sciences, Clinical Research, Prevention, Nutrition, Metabolic and endocrine, Adult, Aged, Ascorbic Acid, Calcium, Dietary, Diet, Dietary Fiber, Dietary Proteins, Europe, Female, Folic Acid, Follow-Up Studies, Humans, Linear Models, Male, Middle Aged, Nutrition Assessment, Phosphorus, Dietary, Prospective Studies, Riboflavin, Surveys and Questionnaires, Weight Gain, beta Carotene, Dietary patterns, Energy balance, Nutrients, Obesity, Public health, Weight gain, Nutrition & Dietetics, Nutrition and dietetics, Epidemiology
Abstract

PurposeVarious food patterns have been associated with weight change in adults, but it is unknown which combinations of nutrients may account for such observations. We investigated associations between main nutrient patterns and prospective weight change in adults.MethodsThis study includes 235,880 participants, 25-70 years old, recruited between 1992 and 2000 in 10 European countries. Intakes of 23 nutrients were estimated from country-specific validated dietary questionnaires using the harmonized EPIC Nutrient DataBase. Four nutrient patterns, explaining 67 % of the total variance of nutrient intakes, were previously identified from principal component analysis. Body weight was measured at recruitment and self-reported 5 years later. The relationship between nutrient patterns and annual weight change was examined separately for men and women using linear mixed models with random effect according to center controlling for confounders.ResultsMean weight gain was 460 g/year (SD 950) and 420 g/year (SD 940) for men and women, respectively. The annual differences in weight gain per one SD increase in the pattern scores were as follows: principal component (PC) 1, characterized by nutrients from plant food sources, was inversely associated with weight gain in men (-22 g/year; 95 % CI -33 to -10) and women (-18 g/year; 95 % CI -26 to -11). In contrast, PC4, characterized by protein, vitamin B2, phosphorus, and calcium, was associated with a weight gain of +41 g/year (95 % CI +2 to +80) and +88 g/year (95 % CI +36 to +140) in men and women, respectively. Associations with PC2, a pattern driven by many micro-nutrients, and with PC3, a pattern driven by vitamin D, were less consistent and/or non-significant.ConclusionsWe identified two main nutrient patterns that are associated with moderate but significant long-term differences in weight gain in adults.

Published
2016

4. Dietary polyphenol intake in Europe: the European Prospective Investigation into Cancer and Nutrition (EPIC) study

Author

Zamora-Ros, Raul, Knaze, Viktoria, Rothwell, Joseph A, Hémon, Bertrand, Moskal, Aurelie, Overvad, Kim, Tjønneland, Anne, Kyrø, Cecilie, Fagherazzi, Guy, Boutron-Ruault, Marie-Christine, Touillaud, Marina, Katzke, Verena, Kühn, Tilman, Boeing, Heiner, Förster, Jana, Trichopoulou, Antonia, Valanou, Elissavet, Peppa, Eleni, Palli, Domenico, Agnoli, Claudia, Ricceri, Fulvio, Tumino, Rosario, de Magistris, Maria Santucci, Peeters, Petra HM, Bueno-de-Mesquita, H Bas, Engeset, Dagrun, Skeie, Guri, Hjartåker, Anette, Menéndez, Virginia, Agudo, Antonio, Molina-Montes, Esther, Huerta, José María, Barricarte, Aurelio, Amiano, Pilar, Sonestedt, Emily, Nilsson, Lena Maria, Landberg, Rikard, Key, Timothy J, Khaw, Kay-Thee, Wareham, Nicholas J, Lu, Yunxia, Slimani, Nadia, Romieu, Isabelle, Riboli, Elio, and Scalbert, Augustin

Subjects
Public Health, Biomedical and Clinical Sciences, Nutrition and Dietetics, Health Sciences, Complementary and Integrative Health, Nutrition, 6.1 Pharmaceuticals, Evaluation of treatments and therapeutic interventions, Cancer, Adult, Aged, Body Mass Index, Coffee, Cross-Sectional Studies, Diet, Europe, Exercise, Female, Flavonoids, Food Analysis, Food Handling, Fruit, Humans, Hydroxybenzoates, Life Style, Male, Mental Recall, Middle Aged, Nutrition Assessment, Polyphenols, Proanthocyanidins, Prospective Studies, Socioeconomic Factors, Tea, Dietary intake, EPIC, Food sources, Nutrition & Dietetics, Nutrition and dietetics, Epidemiology
Abstract

Background/objectivesPolyphenols are plant secondary metabolites with a large variability in their chemical structure and dietary occurrence that have been associated with some protective effects against several chronic diseases. To date, limited data exist on intake of polyphenols in populations. The current cross-sectional analysis aimed at estimating dietary intakes of all currently known individual polyphenols and total intake per class and subclass, and to identify their main food sources in the European Prospective Investigation into Cancer and Nutrition cohort.MethodsDietary data at baseline were collected using a standardized 24-h dietary recall software administered to 36,037 adult subjects. Dietary data were linked with Phenol-Explorer, a database with data on 502 individual polyphenols in 452 foods and data on polyphenol losses due to cooking and food processing.ResultsMean total polyphenol intake was the highest in Aarhus-Denmark (1786 mg/day in men and 1626 mg/day in women) and the lowest in Greece (744 mg/day in men and 584 mg/day in women). When dividing the subjects into three regions, the highest intake of total polyphenols was observed in the UK health-conscious group, followed by non-Mediterranean (non-MED) and MED countries. The main polyphenol contributors were phenolic acids (52.5-56.9 %), except in men from MED countries and in the UK health-conscious group where they were flavonoids (49.1-61.7 %). Coffee, tea, and fruits were the most important food sources of total polyphenols. A total of 437 different individual polyphenols were consumed, including 94 consumed at a level >1 mg/day. The most abundant ones were the caffeoylquinic acids and the proanthocyanidin oligomers and polymers.ConclusionThis study describes the large number of dietary individual polyphenols consumed and the high variability of their intakes between European populations, particularly between MED and non-MED countries.

Published
2016

6. A new food-composition database for 437 polyphenols in 19,899 raw and prepared foods used to estimate polyphenol intakes in adults from 10 European countries

Author

Knaze, Viktoria, Rothwell, Joseph A, Zamora-Ros, Raul, Moskal, Aurelie, Kyrø, Cecilie, Jakszyn, Paula, Skeie, Guri, Weiderpass, Elisabete, Santucci de Magistris, Maria, Agnoli, Claudia, Westenbrink, Susanne, Sonestedt, Emily, Trichopoulou, Antonia, Vasilopoulou, Effie, Peppa, Eleni, Ardanaz, Eva, Huerta, José María, Boeing, Heiner, Mancini, Francesca Romana, Scalbert, Augustin, and Slimani, Nadia

Published
2018
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10. The amount and type of dairy product intake and incident type 2 diabetes: results from the EPIC-InterAct Study

Author

Sluijs, Ivonne, Forouhi, Nita G, Beulens, Joline WJ, van der Schouw, Yvonne T, Agnoli, Claudia, Arriola, Larraitz, Balkau, Beverley, Barricarte, Aurelio, Boeing, Heiner, Bueno-de-Mesquita, H Bas, Clavel-Chapelon, Françoise, Crowe, Francesca L, de Lauzon-Guillain, Blandine, Drogan, Dagmar, Franks, Paul W, Gavrila, Diana, Gonzalez, Carlos, Halkjær, Jytte, Kaaks, Rudolf, Moskal, Aurelie, Nilsson, Peter, Overvad, Kim, Palli, Domenico, Panico, Salvatore, Quirós, José R, Ricceri, Fulvio, Rinaldi, Sabina, Rolandsson, Olov, Sacerdote, Carlotta, Sánchez, María-José, Slimani, Nadia, Spijkerman, Annemieke MW, Teucher, Birgit, Tjonneland, Anne, Tormo, María-José, Tumino, Rosario, van der A, Daphne L, Sharp, Stephen J, Langenberg, Claudia, Feskens, Edith JM, Riboli, Elio, and Wareham, Nicholas J

Published
2012
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11. Region-Specific Nutrient Intake Patterns Exhibit a Geographical Gradient within and between European Countries1–3

Author

Freisling, Heinz, Fahey, Michael T., Moskal, Aurelie, Ocké, Marga C., Ferrari, Pietro, Jenab, Mazda, Norat, Teresa, Naska, Androniki, Welch, Ailsa A., Navarro, Carmen, Schulz, Mandy, Wirfält, Elisabet, Casagrande, Corinne, Amiano, Pilar, Ardanaz, Eva, Parr, Christine, Engeset, Dagrun, Grioni, Sara, Sera, Francesco, Bueno-de-Mesquita, Bas, van der Schouw, Yvonne T., Touvier, Mathilde, Boutron-Ruault, Marie-Christine, Halkjær, Jytte, Dahm, Christina C., Khaw, Kay-Tee, Crowe, Francesca, Linseisen, Jakob, Kröger, Janine, Huybrechts, Inge, Deharveng, Geneviève, Manjer, Jonas, Agren, Asa, Trichopoulou, Antonia, Tsiotas, Kostas, Riboli, Elio, Bingham, Sheila, and Slimani, Nadia

Published
2010
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12. Dietary acrylamide intake of adults in the European Prospective Investigation into Cancer and Nutrition differs greatly according to geographical region

Author

Freisling, Heinz, Moskal, Aurelie, Ferrari, Pietro, Nicolas, Geneviève, Knaze, Viktoria, Clavel-Chapelon, Françoise, Boutron-Ruault, Marie-Christine, Nailler, Laura, Teucher, Birgit, Grote, Verena A., Boeing, Heiner, Clemens, Matthias, Tjønneland, Anne, Olsen, Anja, Overvad, Kim, Quirós, J. Ramón, Duell, Eric J., Sánchez, María-José, Amiano, Pilar, Chirlaque, Maria-Dolores, Barricarte, Aurelio, Khaw, Kay-Tee, Wareham, Nicholas J., Crowe, Francesca L., Gallo, Valentina, Oikonomou, Eleni, Naska, Androniki, Trichopoulou, Antonia, Palli, Domenico, Agnoli, Claudia, Tumino, Rosario, Polidoro, Silvia, Mattiello, Amalia, Bueno-de-Mesquita, H. Bas, Ocké, Marga C., Peeters, Petra H. M., Wirfält, Elisabet, Ericson, Ulrika, Bergdahl, Ingvar A., Johansson, Ingegerd, Hjartåker, Anette, Engeset, Dagrun, Skeie, Guri, Riboli, Elio, and Slimani, Nadia

Published
2013
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13. The amount and type of dairy product intake and incident type 2 diabetes: results from the EPIC-Inter Act Study1-3

Author

Sluijs, Ivonne, Forouhi, Nita G, Beulens, Joline WJ, van der Schouw, Yvonne T, Agnoli, Claudia, Arriola, Larraitz, Balkau, Beverley, Barricarte, Aurelio, Boeing, Heiner, Bueno-de-Mesquita, Bas H, Clavel-Chapelon, Françoise, Crowe, Francesca L, de Lauzon-Guillain, Blandine, Drogan, Dagmar, Franks, Paul W, Gavrila, Diana, Gonzalez, Carlos, Halkjær, Jytte, Kaaks, Rudolf, Moskal, Aurelie, Nilsson, Peter, Overvad, Kim, Palli, Domenico, Panico, Salvatore, Quirós, José R, Ricceri, Fulvio, Rinaldi, Sabina, Rolandsson, Olov, Sacerdote, Carlotta, Sánchez, María-José, Slimani, Nadia, Spijkerman, Annemieke MW, Teucher, Birgit, Tjonneland, Anne, Tormo, María-José, Tumino, Rosario, van der A, Daphne L, Sharp, Stephen J, Langenberg, Claudia, Feskens, Edith JM, Riboli, Elio, and Wareham, Nicholas J

Published
2012
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14. Lifetime and baseline alcohol intake and risk of colon and rectal cancers in the European prospective investigation into cancer and nutrition (EPIC)

Author

Ferrari, Pietro, Jenab, Mazda, Norat, Teresa, Moskal, Aurelie, Slimani, Nadia, Olsen, Anja, Tjnneland, Anne, Overvad, Kim, Jensen, Majken K., Boutron-Ruault, Marie-Christine, Clavel-Chapelon, Françoise, Morois, Sophie, Rohrmann, Sabine, Linseisen, Jakob, Boeing, Heiner, Bergmann, Manuela, Kontopoulou, Dimitra, Trichopoulou, Antonia, Kassapa, Christina, Masala, Giovanna, Krogh, Vittorio, Vineis, Paolo, Panico, Salvatore, Tumino, Rosario, van Gils, Carla H., Peeters, Petra, Bueno-de-Mesquita, Bas H., Ocké, Marga C., Skeie, Guri, Lund, Eiliv, Agudo, Antonio, Ardanaz, Eva, López, Dolores C., Sanchez, Maria-Jose, Quirós, José R., Amiano, Pilar, Berglund, Göran, Manjer, Jonas, Palmqvist, Richard, Guelpen, Bethany Van, Allen, Naomi, Key, Tim, Bingham, Sheila, Mazuir, Mathieu, Boffetta, Paolo, Kaaks, Rudolf, and Riboli, Elio

Published
2007
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15. Transnational access to large prospective cohorts in Europe: Current trends and unmet needs

Author

Simell, Birgit A., primary, Törnwall, Outi M., additional, Hämäläinen, Iiro, additional, Wichmann, H.-Erich, additional, Anton, Gabriele, additional, Brennan, Paul, additional, Bouvard, Laurene, additional, Slimani, Nadia, additional, Moskal, Aurelie, additional, Gunter, Marc, additional, Zatloukal, Kurt, additional, Minion, Joel T., additional, Soini, Sirpa, additional, Mayrhofer, Michaela T., additional, Murtagh, Madeleine J., additional, van Ommen, Gert-Jan, additional, Johansson, Mattias, additional, and Perola, Markus, additional

Published
2019
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16. Coffee and Tea Consumption and the Contribution of Their Added Ingredients to Total Energy and Nutrient Intakes in 10 European Countries : Benchmark Data from the Late 1990s

Author

Landais, Edwige, Moskal, Aurelie, Mullee, Amy, Nicolas, Genevieve, Gunter, Marc J., Huybrechts, Inge, Overvad, Kim, Roswall, Nina, Affret, Aurelie, Fagherazzi, Guy, Mahamat-Saleh, Yahya, Katzke, Verena, Kuehn, Tilman, La Vecchia, Carlo, Trichopoulou, Antonia, Valanou, Elissavet, Saieva, Calogero, de Magistris, Maria Santucci, Sieri, Sabina, Braaten, Tonje, Skeie, Guri, Weiderpass, Elisabete, Ardanaz, Eva, Chirlaque, Maria-Dolores, Garcia, Jose Ramon, Jakszyn, Paula, Rodriguez-Barranco, Miguel, Brunkwall, Louise, Huseinovic, Ena, Nilsson, Lena, Wallström, Peter, Bueno-de-Mesquita, Bas, Peeters, Petra H., Aune, Dagfinn, Key, Tim, Lentjes, Marleen, Riboli, Elio, Slimani, Nadia, Freisling, Heinz, Landais, Edwige, Moskal, Aurelie, Mullee, Amy, Nicolas, Genevieve, Gunter, Marc J., Huybrechts, Inge, Overvad, Kim, Roswall, Nina, Affret, Aurelie, Fagherazzi, Guy, Mahamat-Saleh, Yahya, Katzke, Verena, Kuehn, Tilman, La Vecchia, Carlo, Trichopoulou, Antonia, Valanou, Elissavet, Saieva, Calogero, de Magistris, Maria Santucci, Sieri, Sabina, Braaten, Tonje, Skeie, Guri, Weiderpass, Elisabete, Ardanaz, Eva, Chirlaque, Maria-Dolores, Garcia, Jose Ramon, Jakszyn, Paula, Rodriguez-Barranco, Miguel, Brunkwall, Louise, Huseinovic, Ena, Nilsson, Lena, Wallström, Peter, Bueno-de-Mesquita, Bas, Peeters, Petra H., Aune, Dagfinn, Key, Tim, Lentjes, Marleen, Riboli, Elio, Slimani, Nadia, and Freisling, Heinz

Abstract

Background: Coffee and tea are among the most commonly consumed nonalcoholic beverages worldwide, but methodological differences in assessing intake often hamper comparisons across populations. We aimed to (i) describe coffee and tea intakes and (ii) assess their contribution to intakes of selected nutrients in adults across 10 European countries. Method: Between 1995 and 2000, a standardized 24-h dietary recall was conducted among 36,018 men and women from 27 European Prospective Investigation into Cancer and Nutrition (EPIC) study centres. Adjusted arithmetic means of intakes were estimated in grams (=volume) per day by sex and centre. Means of intake across centres were compared by sociodemographic characteristics and lifestyle factors. Results: In women, the mean daily intake of coffee ranged from 94 g/day (similar to 0.6 cups) in Greece to 781 g/day (similar to 4.4 cups) in Aarhus (Denmark), and tea from 14 g/day (similar to 0.1 cups) in Navarra (Spain) to 788 g/day (similar to 4.3 cups) in the UK general population. Similar geographical patterns for mean daily intakes of both coffee and tea were observed in men. Current smokers as compared with those who reported never smoking tended to drink on average up to 500 g/day more coffee and tea combined, but with substantial variation across centres. Other individuals' characteristics such as educational attainment or age were less predictive. In all centres, coffee and tea contributed to less than 10% of the energy intake. The greatest contribution to total sugar intakes was observed in Southern European centres (up to similar to 20%). Conclusion: Coffee and tea intake and their contribution to energy and sugar intake differed greatly among European adults. Variation in consumption was mostly driven by geographical region.

Published
2018
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17. Main nutrient patterns are associated with prospective weight change in adults from 10 European countries

Author

Freisling, Heinz Pisa, Pedro T. Ferrari, Pietro Byrnes, Graham Moskal, Aurelie Dahm, Christina C. Vergnaud, Anne-Claire Boutron-Ruault, Marie-Christine Fagherazzi, Guy and Cadeau, Claire Kuehn, Tilman Neamat-Allah, Jasmine Buijsse, Brian Boeing, Heiner Halkjaer, Jytte Tjonneland, Anne and Hansen, Camilla P. Ramon Quiros, J. Travier, Noemie and Molina-Montes, Esther Amiano, Pilar Huerta, Jose M. and Barricarte, Aurelio Khaw, Kay-Tee Wareham, Nicholas Key, Tim J. Romaguera, Dora Lu, Yunxia Lassale, Camille M. Naska, Androniki Orfanos, Philippos Trichopoulou, Antonia Masala, Giovanna Pala, Valeria Berrino, Franco Tumino, Rosario and Ricceri, Fulvio de Magistris, Maria Santucci Bueno-de-Mesquita, H. Bas Ocke, Marga C. Sonestedt, Emily Ericson, Ulrika and Johansson, Mattias Skeie, Guri Weiderpass, Elisabete and Braaten, Tonje Peeters, Petra H. M. Slimani, Nadia

Abstract

Various food patterns have been associated with weight change in adults, but it is unknown which combinations of nutrients may account for such observations. We investigated associations between main nutrient patterns and prospective weight change in adults. This study includes 235,880 participants, 25-70 years old, recruited between 1992 and 2000 in 10 European countries. Intakes of 23 nutrients were estimated from country-specific validated dietary questionnaires using the harmonized EPIC Nutrient DataBase. Four nutrient patterns, explaining 67 % of the total variance of nutrient intakes, were previously identified from principal component analysis. Body weight was measured at recruitment and self-reported 5 years later. The relationship between nutrient patterns and annual weight change was examined separately for men and women using linear mixed models with random effect according to center controlling for confounders. Mean weight gain was 460 g/year (SD 950) and 420 g/year (SD 940) for men and women, respectively. The annual differences in weight gain per one SD increase in the pattern scores were as follows: principal component (PC) 1, characterized by nutrients from plant food sources, was inversely associated with weight gain in men (-22 g/year; 95 % CI -33 to -10) and women (-18 g/year; 95 % CI -26 to -11). In contrast, PC4, characterized by protein, vitamin B2, phosphorus, and calcium, was associated with a weight gain of +41 g/year (95 % CI +2 to +80) and +88 g/year (95 % CI +36 to +140) in men and women, respectively. Associations with PC2, a pattern driven by many micro-nutrients, and with PC3, a pattern driven by vitamin D, were less consistent and/or non-significant. We identified two main nutrient patterns that are associated with moderate but significant long-term differences in weight gain in adults.

Published
2016

18. A treelet transform analysis to relate nutrient patterns to the risk of hormonal receptor-defined breast cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC)

Author

Assi, Nada Moskal, Aurelie Slimani, Nadia Viallon, Vivian and Chajes, Veronique Freisling, Heinz Monni, Stefano and Knueppel, Sven Foerster, Jana Weiderpass, Elisabete and Lujan-Barroso, Leila Amiano, Pilar Ardanaz, Eva and Molina-Montes, Esther Salmeron, Diego Ramon Quiros, Jose and Olsen, Anja Tjonneland, Anne Dahm, Christina C. Overvad, Kim and Dossus, Laure Fournier, Agnes Baglietto, Laura Fortner, Renee Turzanski Kaaks, Rudolf Trichopoulou, Antonia Bamia, Christina Orfanos, Philippos De Magistris, Maria Santucci and Masala, Giovanna Agnoli, Claudia Ricceri, Fulvio Tumino, Rosario de Mesquita, H. Bas Bueno Bakker, Marije F. Peeters, Petra H. M. Skeie, Guri Braaten, Tonje Winkvist, Anna and Johansson, Ingegerd Khaw, Kay-Tee Wareham, Nicholas J. Key, Tim Travis, Ruth Schmidt, Julie A. Merritt, Melissa A. and Riboli, Elio Romieu, Isabelle Ferrari, Pietro

Abstract

Objective Pattern analysis has emerged as a tool to depict the role of multiple nutrients/foods in relation to health outcomes. The present study aimed at extracting nutrient patterns with respect to breast cancer (BC) aetiology. Design Nutrient patterns were derived with treelet transform (TT) and related to BC risk. TT was applied to twenty-three log-transformed nutrient densities from dietary questionnaires. Hazard ratios (HR) and 95 % confidence intervals computed using Cox proportional hazards models quantified the association between quintiles of nutrient pattern scores and risk of overall BC, and by hormonal receptor and menopausal status. Principal component analysis was applied for comparison. Setting The European Prospective Investigation into Cancer and Nutrition (EPIC). Subjects Women (n 334 850) from the EPIC study. Results The first TT component (TC1) highlighted a pattern rich in nutrients found in animal foods loading on cholesterol, protein, retinol, vitamins B-12 and D, while the second TT component (TC2) reflected a diet rich in -carotene, riboflavin, thiamin, vitamins C and B-6, fibre, Fe, Ca, K, Mg, P and folate. While TC1 was not associated with BC risk, TC2 was inversely associated with BC risk overall (HRQ5 v. Q1=089, 95 % CI 083, 095, P-trend

Published
2016

19. Main nutrient patterns and colorectal cancer risk in the European Prospective Investigation into Cancer and Nutrition study

Author

Moskal, Aurelie, Freisling, Heinz, Byrnes, Graham, Assi, Nada, Fahey, Michael T., Jenab, Mazda, Ferrari, Pietro, Tjonneland, Anne, Petersen, Kristina E. N., Dahm, Christina C., Plambeck Hansen, Camilla, Affret, Aurelie, Boutron-Ruault, Marie-Christine, Cadeau, Claire, Kuhn, Tilman, Katzke, Verena, Iqbal, Khalid, Boeing, Heiner, Trichopoulou, Antonia, Bamia, Christina, Naska, Androniki, Masala, Giovanna, de Magistris, Maria Santucci, Sieri, Sabina, Tumino, Rosario, Sacerdote, Carlotta, Peeters, Petra H., Bueno-De-Mesquita, Bas H., Engeset, Dagrun, Licaj, Idlir, Skeie, Guri, Ardanaz, Eva, Buckland, Genevieve, Huerta Castano, Jose M., Quiros, Jose R., Amiano, Pilar, Molina-Portillo, Elena, Winkvist, Anna, Myte, Robin, Ericson, Ulrika, Sonestedt, Emily, Perez-Cornago, Aurora, Wareham, Nick, Khaw, Kay-Tee, Huybrechts, Inge, Tsilidis, Konstantinos K., Ward, Heather, Gunter, Marc J., Slimani, Nadia, Moskal, Aurelie, Freisling, Heinz, Byrnes, Graham, Assi, Nada, Fahey, Michael T., Jenab, Mazda, Ferrari, Pietro, Tjonneland, Anne, Petersen, Kristina E. N., Dahm, Christina C., Plambeck Hansen, Camilla, Affret, Aurelie, Boutron-Ruault, Marie-Christine, Cadeau, Claire, Kuhn, Tilman, Katzke, Verena, Iqbal, Khalid, Boeing, Heiner, Trichopoulou, Antonia, Bamia, Christina, Naska, Androniki, Masala, Giovanna, de Magistris, Maria Santucci, Sieri, Sabina, Tumino, Rosario, Sacerdote, Carlotta, Peeters, Petra H., Bueno-De-Mesquita, Bas H., Engeset, Dagrun, Licaj, Idlir, Skeie, Guri, Ardanaz, Eva, Buckland, Genevieve, Huerta Castano, Jose M., Quiros, Jose R., Amiano, Pilar, Molina-Portillo, Elena, Winkvist, Anna, Myte, Robin, Ericson, Ulrika, Sonestedt, Emily, Perez-Cornago, Aurora, Wareham, Nick, Khaw, Kay-Tee, Huybrechts, Inge, Tsilidis, Konstantinos K., Ward, Heather, Gunter, Marc J., and Slimani, Nadia

Abstract

Background: Much of the current literature on diet-colorectal cancer (CRC) associations focused on studies of single foods/nutrients, whereas less is known about nutrient patterns. We investigated the association between major nutrient patterns and CRC risk in participants of the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Methods: Among 477 312 participants, intakes of 23 nutrients were estimated from validated dietary questionnaires. Using results from a previous principal component (PC) analysis, four major nutrient patterns were identified. Hazard ratios (HRs) and 95% confidence intervals (CIs) were computed for the association of each of the four patterns and CRC incidence using multivariate Cox proportional hazards models with adjustment for established CRC risk factors. Results: During an average of 11 years of follow-up, 4517 incident cases of CRC were documented. A nutrient pattern characterised by high intakes of vitamins and minerals was inversely associated with CRC (HR per 1 s.d. = 0.94, 95% CI: 0.92-0.98) as was a pattern characterised by total protein, riboflavin, phosphorus and calcium (HR (1 s.d.) = 0.96, 95% CI: 0.93-0.99). The remaining two patterns were not significantly associated with CRC risk. Conclusions: Analysing nutrient patterns may improve our understanding of how groups of nutrients relate to CRC.

Published
2016
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20. A treelet transform analysis to relate nutrient patterns to the risk of hormonal receptor-defined breast cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC)

Author

Assi, Nada, Moskal, Aurelie, Slimani, Nadia, Viallon, Vivian, Chajes, Veronique, Freisling, Heinz, Monni, Stefano, Knueppel, Sven, Foerster, Jana, Weiderpass, Elisabete, Lujan-Barroso, Leila, Amiano, Pilar, Ardanaz, Eva, Molina-Montes, Esther, Salmeron, Diego, Ramon Quiros, Jose, Olsen, Anja, Tjonneland, Anne, Dahm, Christina C., Overvad, Kim, Dossus, Laure, Fournier, Agnes, Baglietto, Laura, Fortner, Renee Turzanski, Kaaks, Rudolf, Trichopoulou, Antonia, Bamia, Christina, Orfanos, Philippos, De Magistris, Maria Santucci, Masala, Giovanna, Agnoli, Claudia, Ricceri, Fulvio, Tumino, Rosario, de Mesquita, H. Bas Bueno, Bakker, Marije F., Peeters, Petra H. M., Skeie, Guri, Braaten, Tonje, Winkvist, Anna, Johansson, Ingegerd, Khaw, Kay-Tee, Wareham, Nicholas J., Key, Tim, Travis, Ruth, Schmidt, Julie A., Merritt, Melissa A., Riboli, Elio, Romieu, Isabelle, Ferrari, Pietro, Assi, Nada, Moskal, Aurelie, Slimani, Nadia, Viallon, Vivian, Chajes, Veronique, Freisling, Heinz, Monni, Stefano, Knueppel, Sven, Foerster, Jana, Weiderpass, Elisabete, Lujan-Barroso, Leila, Amiano, Pilar, Ardanaz, Eva, Molina-Montes, Esther, Salmeron, Diego, Ramon Quiros, Jose, Olsen, Anja, Tjonneland, Anne, Dahm, Christina C., Overvad, Kim, Dossus, Laure, Fournier, Agnes, Baglietto, Laura, Fortner, Renee Turzanski, Kaaks, Rudolf, Trichopoulou, Antonia, Bamia, Christina, Orfanos, Philippos, De Magistris, Maria Santucci, Masala, Giovanna, Agnoli, Claudia, Ricceri, Fulvio, Tumino, Rosario, de Mesquita, H. Bas Bueno, Bakker, Marije F., Peeters, Petra H. M., Skeie, Guri, Braaten, Tonje, Winkvist, Anna, Johansson, Ingegerd, Khaw, Kay-Tee, Wareham, Nicholas J., Key, Tim, Travis, Ruth, Schmidt, Julie A., Merritt, Melissa A., Riboli, Elio, Romieu, Isabelle, and Ferrari, Pietro

Abstract

Objective Pattern analysis has emerged as a tool to depict the role of multiple nutrients/foods in relation to health outcomes. The present study aimed at extracting nutrient patterns with respect to breast cancer (BC) aetiology. Design Nutrient patterns were derived with treelet transform (TT) and related to BC risk. TT was applied to twenty-three log-transformed nutrient densities from dietary questionnaires. Hazard ratios (HR) and 95 % confidence intervals computed using Cox proportional hazards models quantified the association between quintiles of nutrient pattern scores and risk of overall BC, and by hormonal receptor and menopausal status. Principal component analysis was applied for comparison. Setting The European Prospective Investigation into Cancer and Nutrition (EPIC). Subjects Women (n 334 850) from the EPIC study. Results The first TT component (TC1) highlighted a pattern rich in nutrients found in animal foods loading on cholesterol, protein, retinol, vitamins B-12 and D, while the second TT component (TC2) reflected a diet rich in -carotene, riboflavin, thiamin, vitamins C and B-6, fibre, Fe, Ca, K, Mg, P and folate. While TC1 was not associated with BC risk, TC2 was inversely associated with BC risk overall (HRQ5 v. Q1=089, 95 % CI 083, 095, P-trend<001) and showed a significantly lower risk in oestrogen receptor-positive (HRQ5 v. Q1=089, 95 % CI 081, 098, P-trend=002) and progesterone receptor-positive tumours (HRQ5 v. Q1=087, 95 % CI 077, 098, P-trend<001). Conclusions TT produces readily interpretable sparse components explaining similar amounts of variation as principal component analysis. Our results suggest that participants with a nutrient pattern high in micronutrients found in vegetables, fruits and cereals had a lower risk of BC.

Published
2016
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21. Dietary polyphenol intake in Europe: the European Prospective Investigation into Cancer and Nutrition (EPIC) study

Author

Epi Kanker Team 1, JC onderzoeksprogramma Kanker, Cancer, MS MDL 1, Zamora-Ros, Raul, Knaze, Viktoria, Rothwell, Joseph A., Hemon, Bertrand, Moskal, Aurelie, Overvad, Kim, Tjonneland, Anne, Kyro, Cecilie, Fagherazzi, Guy, Boutron-Ruault, Marie-Christine, Touillaud, Marina, Katzke, Verena, Kuehn, Tilman, Boeing, Heiner, Foerster, Jana, Trichopoulou, Antonia, Valanou, Elissavet, Peppa, Eleni, Palli, Domenico, Agnoli, Claudia, Ricceri, Fulvio, Tumino, Rosario, de Magistris, Maria Santucci, Peeters, Petra H. M., Bueno-de-Mesquita, H. Bas, Engeset, Dagrun, Skeie, Guri, Hjartaker, Anette, Menendez, Virginia, Agudo, Antonio, Molina-Montes, Esther, Maria Huerta, Jose, Barricarte, Aurelio, Amiano, Pilar, Sonestedt, Emily, Nilsson, Lena Maria, Landberg, Rikard, Key, Timothy J., Khaw, Kay-Thee, Wareham, Nicholas J., Lu, Yunxia, Slimani, Nadia, Romieu, Isabelle, Riboli, Elio, Scalbert, Augustin, Epi Kanker Team 1, JC onderzoeksprogramma Kanker, Cancer, MS MDL 1, Zamora-Ros, Raul, Knaze, Viktoria, Rothwell, Joseph A., Hemon, Bertrand, Moskal, Aurelie, Overvad, Kim, Tjonneland, Anne, Kyro, Cecilie, Fagherazzi, Guy, Boutron-Ruault, Marie-Christine, Touillaud, Marina, Katzke, Verena, Kuehn, Tilman, Boeing, Heiner, Foerster, Jana, Trichopoulou, Antonia, Valanou, Elissavet, Peppa, Eleni, Palli, Domenico, Agnoli, Claudia, Ricceri, Fulvio, Tumino, Rosario, de Magistris, Maria Santucci, Peeters, Petra H. M., Bueno-de-Mesquita, H. Bas, Engeset, Dagrun, Skeie, Guri, Hjartaker, Anette, Menendez, Virginia, Agudo, Antonio, Molina-Montes, Esther, Maria Huerta, Jose, Barricarte, Aurelio, Amiano, Pilar, Sonestedt, Emily, Nilsson, Lena Maria, Landberg, Rikard, Key, Timothy J., Khaw, Kay-Thee, Wareham, Nicholas J., Lu, Yunxia, Slimani, Nadia, Romieu, Isabelle, Riboli, Elio, and Scalbert, Augustin

Published
2016

22. Main nutrient patterns are associated with prospective weight change in adults from 10 European countries

Author

Infection & Immunity, Cancer, Epi Kanker Team 1, JC onderzoeksprogramma Kanker, Freisling, Heinz, Pisa, Pedro T., Ferrari, Pietro, Byrnes, Graham, Moskal, Aurelie, Dahm, Christina C., Vergnaud, Anne Claire, Boutron-Ruault, Marie Christine, Fagherazzi, Guy, Cadeau, Claire, Kühn, Tilman, Neamat-Allah, Jasmine, Buijsse, Brian, Boeing, Heiner, Halkjær, Jytte, Tjonneland, Anne, Hansen, Camilla P., Quirós, J. Ramón, Travier, Noémie, Molina-Montes, Esther, Amiano, Pilar, Huerta, José M., Barricarte, Aurelio, Khaw, Kay Tee, Wareham, Nicholas, Key, Tim J., Romaguera, Dora, Lu, Yunxia, Lassale, Camille M., Naska, Androniki, Orfanos, Philippos, Trichopoulou, Antonia, Masala, Giovanna, Pala, Valeria, Berrino, Franco, Tumino, Rosario, Ricceri, Fulvio, de Magistris, Maria Santucci, Bueno-de-Mesquita, H. Bas, Ocké, Marga C., Sonestedt, Emily, Ericson, Ulrika, Johansson, Mattias, Skeie, Guri, Weiderpass, Elisabete, Braaten, Tonje, Peeters, Petra H M, Slimani, Nadia, Infection & Immunity, Cancer, Epi Kanker Team 1, JC onderzoeksprogramma Kanker, Freisling, Heinz, Pisa, Pedro T., Ferrari, Pietro, Byrnes, Graham, Moskal, Aurelie, Dahm, Christina C., Vergnaud, Anne Claire, Boutron-Ruault, Marie Christine, Fagherazzi, Guy, Cadeau, Claire, Kühn, Tilman, Neamat-Allah, Jasmine, Buijsse, Brian, Boeing, Heiner, Halkjær, Jytte, Tjonneland, Anne, Hansen, Camilla P., Quirós, J. Ramón, Travier, Noémie, Molina-Montes, Esther, Amiano, Pilar, Huerta, José M., Barricarte, Aurelio, Khaw, Kay Tee, Wareham, Nicholas, Key, Tim J., Romaguera, Dora, Lu, Yunxia, Lassale, Camille M., Naska, Androniki, Orfanos, Philippos, Trichopoulou, Antonia, Masala, Giovanna, Pala, Valeria, Berrino, Franco, Tumino, Rosario, Ricceri, Fulvio, de Magistris, Maria Santucci, Bueno-de-Mesquita, H. Bas, Ocké, Marga C., Sonestedt, Emily, Ericson, Ulrika, Johansson, Mattias, Skeie, Guri, Weiderpass, Elisabete, Braaten, Tonje, Peeters, Petra H M, and Slimani, Nadia

Published
2016

23. A treelet transform analysis to relate nutrient patterns to the risk of hormonal receptor-defined breast cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC)

Author

Epi Kanker Team 1, JC onderzoeksprogramma Kanker, Cancer, MS MDL 1, Infection & Immunity, Epi Kanker Team A, Assi, Nada, Moskal, Aurelie, Slimani, Nadia, Viallon, Vivian, Chajes, Veronique, Freisling, Heinz, Monni, Stefano, Knueppel, Sven, Förster, Jana, Weiderpass, Elisabete, Lujan-Barroso, Leila, Amiano, Pilar, Ardanaz, Eva, Molina-Montes, Esther, Salmerón, Diego, Quirós, José Ramón, Olsen, Anja, Tjønneland, Anne, Dahm, Christina C., Overvad, Kim, Dossus, Laure, Fournier, Agnès, Baglietto, Laura, Fortner, Renee Turzanski, Kaaks, Rudolf, Trichopoulou, Antonia, Bamia, Christina, Orfanos, Philippos, De Magistris, Maria Santucci, Masala, Giovanna, Agnoli, Claudia, Ricceri, Fulvio, Tumino, Rosario, Bueno de Mesquita, H. Bas, Bakker, Marije F., Peeters, Petra H M, Skeie, Guri, Braaten, Tonje, Winkvist, Anna, Johansson, Ingegerd, Khaw, Kay Tee, Wareham, Nicholas J., Key, Tim, Travis, Ruth, Schmidt, Julie A., Merritt, Melissa A., Riboli, Elio, Romieu, Isabelle, Ferrari, Pietro, Epi Kanker Team 1, JC onderzoeksprogramma Kanker, Cancer, MS MDL 1, Infection & Immunity, Epi Kanker Team A, Assi, Nada, Moskal, Aurelie, Slimani, Nadia, Viallon, Vivian, Chajes, Veronique, Freisling, Heinz, Monni, Stefano, Knueppel, Sven, Förster, Jana, Weiderpass, Elisabete, Lujan-Barroso, Leila, Amiano, Pilar, Ardanaz, Eva, Molina-Montes, Esther, Salmerón, Diego, Quirós, José Ramón, Olsen, Anja, Tjønneland, Anne, Dahm, Christina C., Overvad, Kim, Dossus, Laure, Fournier, Agnès, Baglietto, Laura, Fortner, Renee Turzanski, Kaaks, Rudolf, Trichopoulou, Antonia, Bamia, Christina, Orfanos, Philippos, De Magistris, Maria Santucci, Masala, Giovanna, Agnoli, Claudia, Ricceri, Fulvio, Tumino, Rosario, Bueno de Mesquita, H. Bas, Bakker, Marije F., Peeters, Petra H M, Skeie, Guri, Braaten, Tonje, Winkvist, Anna, Johansson, Ingegerd, Khaw, Kay Tee, Wareham, Nicholas J., Key, Tim, Travis, Ruth, Schmidt, Julie A., Merritt, Melissa A., Riboli, Elio, Romieu, Isabelle, and Ferrari, Pietro

Published
2016

24. Nutrient Patterns and Their Food Sources in an International Study Setting: Report from the EPIC Study

Author

Moskal, Aurelie Pisa, Pedro T. Ferrari, Pietro Byrnes, Graham Freisling, Heinz Boutron-Ruault, Marie-Christine and Cadeau, Claire Nailler, Laura Wendt, Andrea Kuehn, Tilman and Boeing, Heiner Buijsse, Brian Tjonneland, Anne Halkjaer, Jytte Dahm, Christina C. Chiuve, Stephanie E. Quiros, Jose R. Buckland, Genevieve Molina-Montes, Esther Amiano, Pilar and Huerta Castano, Jose M. Barricarte Gurrea, Aurelio Khaw, Kay-Tee Lentjes, Marleen A. Key, Timothy J. Romaguera, Dora and Vergnaud, Anne-Claire Trichopoulou, Antonia Bamia, Christina and Orfanos, Philippos Palli, Domenico Pala, Valeria Tumino, Rosario Sacerdote, Carlotta de Magistris, Maria Santucci and Bueno-de-Mesquita, H. Bas Ocke, Marga C. Beulens, Joline W. J. and Ericson, Ulrika Drake, Isabel Nilsson, Lena M. Winkvist, Anna Weiderpass, Elisabete Hjartaker, Anette Riboli, Elio and Slimani, Nadia

Abstract

Background: Compared to food patterns, nutrient patterns have been rarely used particularly at international level. We studied, in the context of a multi-center study with heterogeneous data, the methodological challenges regarding pattern analyses. Methodology/Principal Findings: We identified nutrient patterns from food frequency questionnaires (FFQ) in the European Prospective Investigation into Cancer and Nutrition (EPIC) Study and used 24-hour dietary recall (24-HDR) data to validate and describe the nutrient patterns and their related food sources. Associations between lifestyle factors and the nutrient patterns were also examined. Principal component analysis (PCA) was applied on 23 nutrients derived from country-specific FFQ combining data from all EPIC centers (N = 477,312). Harmonized 24-HDRs available for a representative sample of the EPIC populations (N = 34,436) provided accurate mean group estimates of nutrients and foods by quintiles of pattern scores, presented graphically. An overall PCA combining all data captured a good proportion of the variance explained in each EPIC center. Four nutrient patterns were identified explaining 67% of the total variance: Principle component (PC) 1 was characterized by a high contribution of nutrients from plant food sources and a low contribution of nutrients from animal food sources; PC2 by a high contribution of micro-nutrients and proteins; PC3 was characterized by polyunsaturated fatty acids and vitamin D; PC4 was characterized by calcium, proteins, riboflavin, and phosphorus. The nutrients with high loadings on a particular pattern as derived from country-specific FFQ also showed high deviations in their mean EPIC intakes by quintiles of pattern scores when estimated from 24-HDR. Center and energy intake explained most of the variability in pattern scores. Conclusion/Significance: The use of 24-HDR enabled internal validation and facilitated the interpretation of the nutrient patterns derived from FFQs in term of food sources. These outcomes open research opportunities and perspectives of using nutrient patterns in future studies particularly at international level.

Published
2014

25. Main nutrient patterns are associated with prospective weight change in adults from 10 European countries

Author

Freisling, Heinz, primary, Pisa, Pedro T., additional, Ferrari, Pietro, additional, Byrnes, Graham, additional, Moskal, Aurelie, additional, Dahm, Christina C., additional, Vergnaud, Anne-Claire, additional, Boutron-Ruault, Marie-Christine, additional, Fagherazzi, Guy, additional, Cadeau, Claire, additional, Kühn, Tilman, additional, Neamat-Allah, Jasmine, additional, Buijsse, Brian, additional, Boeing, Heiner, additional, Halkjær, Jytte, additional, Tjonneland, Anne, additional, Hansen, Camilla P., additional, Quirós, J. Ramón, additional, Travier, Noémie, additional, Molina-Montes, Esther, additional, Amiano, Pilar, additional, Huerta, José M., additional, Barricarte, Aurelio, additional, Khaw, Kay-Tee, additional, Wareham, Nicholas, additional, Key, Tim J., additional, Romaguera, Dora, additional, Lu, Yunxia, additional, Lassale, Camille M., additional, Naska, Androniki, additional, Orfanos, Philippos, additional, Trichopoulou, Antonia, additional, Masala, Giovanna, additional, Pala, Valeria, additional, Berrino, Franco, additional, Tumino, Rosario, additional, Ricceri, Fulvio, additional, de Magistris, Maria Santucci, additional, Bueno-de-Mesquita, H. Bas, additional, Ocké, Marga C., additional, Sonestedt, Emily, additional, Ericson, Ulrika, additional, Johansson, Mattias, additional, Skeie, Guri, additional, Weiderpass, Elisabete, additional, Braaten, Tonje, additional, Peeters, Petra H. M., additional, and Slimani, Nadia, additional

Published
2015
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26. Dietary polyphenol intake in Europe: the European Prospective Investigation into Cancer and Nutrition (EPIC) study

Author

Zamora-Ros, Raul, primary, Knaze, Viktoria, additional, Rothwell, Joseph A., additional, Hémon, Bertrand, additional, Moskal, Aurelie, additional, Overvad, Kim, additional, Tjønneland, Anne, additional, Kyrø, Cecilie, additional, Fagherazzi, Guy, additional, Boutron-Ruault, Marie-Christine, additional, Touillaud, Marina, additional, Katzke, Verena, additional, Kühn, Tilman, additional, Boeing, Heiner, additional, Förster, Jana, additional, Trichopoulou, Antonia, additional, Valanou, Elissavet, additional, Peppa, Eleni, additional, Palli, Domenico, additional, Agnoli, Claudia, additional, Ricceri, Fulvio, additional, Tumino, Rosario, additional, de Magistris, Maria Santucci, additional, Peeters, Petra H. M., additional, Bueno-de-Mesquita, H. Bas, additional, Engeset, Dagrun, additional, Skeie, Guri, additional, Hjartåker, Anette, additional, Menéndez, Virginia, additional, Agudo, Antonio, additional, Molina-Montes, Esther, additional, Huerta, José María, additional, Barricarte, Aurelio, additional, Amiano, Pilar, additional, Sonestedt, Emily, additional, Nilsson, Lena Maria, additional, Landberg, Rikard, additional, Key, Timothy J., additional, Khaw, Kay-Thee, additional, Wareham, Nicholas J., additional, Lu, Yunxia, additional, Slimani, Nadia, additional, Romieu, Isabelle, additional, Riboli, Elio, additional, and Scalbert, Augustin, additional

Published
2015
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27. A treelet transform analysis to relate nutrient patterns to the risk of hormonal receptor-defined breast cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC)

Author

Assi, Nada, primary, Moskal, Aurelie, additional, Slimani, Nadia, additional, Viallon, Vivian, additional, Chajes, Veronique, additional, Freisling, Heinz, additional, Monni, Stefano, additional, Knueppel, Sven, additional, Förster, Jana, additional, Weiderpass, Elisabete, additional, Lujan-Barroso, Leila, additional, Amiano, Pilar, additional, Ardanaz, Eva, additional, Molina-Montes, Esther, additional, Salmerón, Diego, additional, Quirós, José Ramón, additional, Olsen, Anja, additional, Tjønneland, Anne, additional, Dahm, Christina C, additional, Overvad, Kim, additional, Dossus, Laure, additional, Fournier, Agnès, additional, Baglietto, Laura, additional, Fortner, Renee Turzanski, additional, Kaaks, Rudolf, additional, Trichopoulou, Antonia, additional, Bamia, Christina, additional, Orfanos, Philippos, additional, De Magistris, Maria Santucci, additional, Masala, Giovanna, additional, Agnoli, Claudia, additional, Ricceri, Fulvio, additional, Tumino, Rosario, additional, Bueno de Mesquita, H Bas, additional, Bakker, Marije F, additional, Peeters, Petra HM, additional, Skeie, Guri, additional, Braaten, Tonje, additional, Winkvist, Anna, additional, Johansson, Ingegerd, additional, Khaw, Kay-Tee, additional, Wareham, Nicholas J, additional, Key, Tim, additional, Travis, Ruth, additional, Schmidt, Julie A, additional, Merritt, Melissa A, additional, Riboli, Elio, additional, Romieu, Isabelle, additional, and Ferrari, Pietro, additional

Published
2015
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28. Nutrient Patterns and Their Food Sources in an International Study Setting : Report from the EPIC Study

Author

Moskal, Aurelie, Pisa, Pedro T., Ferrari, Pietro, Byrnes, Graham, Freisling, Heinz, Boutron-Ruault, Marie-Christine, Cadeau, Claire, Nailler, Laura, Wendt, Andrea, Kuehn, Tilman, Boeing, Heiner, Buijsse, Brian, Tjonneland, Anne, Halkjaer, Jytte, Dahm, Christina C., Chiuve, Stephanie E., Quiros, Jose R., Buckland, Genevieve, Molina-Montes, Esther, Amiano, Pilar, Huerta Castano, Jose M., Barricarte Gurrea, Aurelio, Khaw, Kay-Tee, Lentjes, Marleen A., Key, Timothy J., Romaguera, Dora, Vergnaud, Anne-Claire, Trichopoulou, Antonia, Bamia, Christina, Orfanos, Philippos, Palli, Domenico, Pala, Valeria, Tumino, Rosario, Sacerdote, Carlotta, de Magistris, Maria Santucci, Bueno-de-Mesquita, H. Bas, Ocke, Marga C., Beulens, Joline W. J., Ericson, Ulrika, Drake, Isabel, Nilsson, Lena M., Winkvist, Anna, Weiderpass, Elisabete, Hjartaker, Anette, Riboli, Elio, Slimani, Nadia, Moskal, Aurelie, Pisa, Pedro T., Ferrari, Pietro, Byrnes, Graham, Freisling, Heinz, Boutron-Ruault, Marie-Christine, Cadeau, Claire, Nailler, Laura, Wendt, Andrea, Kuehn, Tilman, Boeing, Heiner, Buijsse, Brian, Tjonneland, Anne, Halkjaer, Jytte, Dahm, Christina C., Chiuve, Stephanie E., Quiros, Jose R., Buckland, Genevieve, Molina-Montes, Esther, Amiano, Pilar, Huerta Castano, Jose M., Barricarte Gurrea, Aurelio, Khaw, Kay-Tee, Lentjes, Marleen A., Key, Timothy J., Romaguera, Dora, Vergnaud, Anne-Claire, Trichopoulou, Antonia, Bamia, Christina, Orfanos, Philippos, Palli, Domenico, Pala, Valeria, Tumino, Rosario, Sacerdote, Carlotta, de Magistris, Maria Santucci, Bueno-de-Mesquita, H. Bas, Ocke, Marga C., Beulens, Joline W. J., Ericson, Ulrika, Drake, Isabel, Nilsson, Lena M., Winkvist, Anna, Weiderpass, Elisabete, Hjartaker, Anette, Riboli, Elio, and Slimani, Nadia

Abstract

Background: Compared to food patterns, nutrient patterns have been rarely used particularly at international level. We studied, in the context of a multi-center study with heterogeneous data, the methodological challenges regarding pattern analyses. Methodology/Principal Findings: We identified nutrient patterns from food frequency questionnaires (FFQ) in the European Prospective Investigation into Cancer and Nutrition (EPIC) Study and used 24-hour dietary recall (24-HDR) data to validate and describe the nutrient patterns and their related food sources. Associations between lifestyle factors and the nutrient patterns were also examined. Principal component analysis (PCA) was applied on 23 nutrients derived from country-specific FFQ combining data from all EPIC centers (N = 477,312). Harmonized 24-HDRs available for a representative sample of the EPIC populations (N = 34,436) provided accurate mean group estimates of nutrients and foods by quintiles of pattern scores, presented graphically. An overall PCA combining all data captured a good proportion of the variance explained in each EPIC center. Four nutrient patterns were identified explaining 67% of the total variance: Principle component (PC) 1 was characterized by a high contribution of nutrients from plant food sources and a low contribution of nutrients from animal food sources; PC2 by a high contribution of micro-nutrients and proteins; PC3 was characterized by polyunsaturated fatty acids and vitamin D; PC4 was characterized by calcium, proteins, riboflavin, and phosphorus. The nutrients with high loadings on a particular pattern as derived from country-specific FFQ also showed high deviations in their mean EPIC intakes by quintiles of pattern scores when estimated from 24-HDR. Center and energy intake explained most of the variability in pattern scores. Conclusion/Significance: The use of 24-HDR enabled internal validation and facilitated the interpretation of the nutrient patterns derived from FFQs in term

Published
2014
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29. Nutrient Patterns and Their Food Sources in an International Study Setting: Report from the EPIC Study

Author

Moskal, Aurelie, primary, Pisa, Pedro T., additional, Ferrari, Pietro, additional, Byrnes, Graham, additional, Freisling, Heinz, additional, Boutron-Ruault, Marie-Christine, additional, Cadeau, Claire, additional, Nailler, Laura, additional, Wendt, Andrea, additional, Kühn, Tilman, additional, Boeing, Heiner, additional, Buijsse, Brian, additional, Tjønneland, Anne, additional, Halkjær, Jytte, additional, Dahm, Christina C., additional, Chiuve, Stephanie E., additional, Quirós, Jose R., additional, Buckland, Genevieve, additional, Molina-Montes, Esther, additional, Amiano, Pilar, additional, Huerta Castaño, José M., additional, Gurrea, Aurelio Barricarte, additional, Khaw, Kay-Tee, additional, Lentjes, Marleen A., additional, Key, Timothy J., additional, Romaguera, Dora, additional, Vergnaud, Anne-Claire, additional, Trichopoulou, Antonia, additional, Bamia, Christina, additional, Orfanos, Philippos, additional, Palli, Domenico, additional, Pala, Valeria, additional, Tumino, Rosario, additional, Sacerdote, Carlotta, additional, de Magistris, Maria Santucci, additional, Bueno-de-Mesquita, H. Bas, additional, Ocké, Marga C., additional, Beulens, Joline W. J., additional, Ericson, Ulrika, additional, Drake, Isabel, additional, Nilsson, Lena M., additional, Winkvist, Anna, additional, Weiderpass, Elisabete, additional, Hjartåker, Anette, additional, Riboli, Elio, additional, and Slimani, Nadia, additional

Published
2014
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30. Region-specific nutrient intake patterns exhibit a geographical gradient within and between European countries.

Author

Freisling, Heinz, Fahey, Michael T, Moskal, Aurelie, Ocké, Marga C, Ferrari, Pietro, Jenab, Mazda, Norat, Teresa, Naska, Androniki, Welch, Ailsa A, Navarro, Carmen, Schulz, Mandy, Wirfält, Elisabet, Casagrande, Corinne, Amiano, Pilar, Ardanaz, Eva, Parr, Christine, Engeset, Dagrun, Grioni, Sara, Sera, Francesco, Bueno-de-Mesquita, Bas, van der Schouw, Yvonne T, Touvier, Mathilde, Boutron-Ruault, Marie-Christine, Halkjaer, Jytte, Dahm, Christina C, Khaw, Kay-Tee, Crowe, Francesca, Linseisen, Jakob, Kröger, Janine, Huybrechts, Inge, Deharveng, Geneviève, Manjer, Jonas, Ågren, Åsa, Trichopoulou, Antonia, Tsiotas, Kostas, Riboli, Elio, Bingham, Sheila, Slimani, Nadia, Freisling, Heinz, Fahey, Michael T, Moskal, Aurelie, Ocké, Marga C, Ferrari, Pietro, Jenab, Mazda, Norat, Teresa, Naska, Androniki, Welch, Ailsa A, Navarro, Carmen, Schulz, Mandy, Wirfält, Elisabet, Casagrande, Corinne, Amiano, Pilar, Ardanaz, Eva, Parr, Christine, Engeset, Dagrun, Grioni, Sara, Sera, Francesco, Bueno-de-Mesquita, Bas, van der Schouw, Yvonne T, Touvier, Mathilde, Boutron-Ruault, Marie-Christine, Halkjaer, Jytte, Dahm, Christina C, Khaw, Kay-Tee, Crowe, Francesca, Linseisen, Jakob, Kröger, Janine, Huybrechts, Inge, Deharveng, Geneviève, Manjer, Jonas, Ågren, Åsa, Trichopoulou, Antonia, Tsiotas, Kostas, Riboli, Elio, Bingham, Sheila, and Slimani, Nadia

Abstract

Until recently, the study of nutrient patterns was hampered at an international level by a lack of standardization of both dietary methods and nutrient databases. We aimed to describe the diversity of nutrient patterns in the European Prospective Investigation into Cancer and Nutrition (EPIC) study at population level as a starting point for future nutrient pattern analyses and their associations with chronic diseases in multi-center studies. In this cross-sectional study, 36,034 persons aged 35-74 y were administered a single, standardized 24-h dietary recall. Intake of 25 nutrients (excluding intake from dietary supplements) was estimated using a standardized nutrient database. We used a graphic presentation of mean nutrient intakes by region and sex relative to the overall EPIC means to contrast patterns within and between 10 European countries. In Mediterranean regions, including Greece, Italy, and the southern centers of Spain, the nutrient pattern was dominated by relatively high intakes of vitamin E and monounsaturated fatty acids (MUFA), whereas intakes of retinol and vitamin D were relatively low. In contrast, in Nordic countries, including Norway, Sweden, and Denmark, reported intake of these same nutrients resulted in almost the opposite pattern. Population groups in Germany, The Netherlands, and the UK shared a fatty acid pattern of relatively high intakes of PUFA and SFA and relatively low intakes of MUFA, in combination with a relatively high intake of sugar. We confirmed large variability in nutrient intakes across the EPIC study populations and identified 3 main region-specific patterns with a geographical gradient within and between European countries.

Published
2010
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31. Is the association with fiber from foods in colorectal cancer confounded by folate intake?

Author

Bingham, Sheila A, Norat, Teresa, Moskal, Aurelie, Ferrari, Pietro, Slimani, Nadia, Clavel-Chapelon, Françoise, Kesse, Emmanuelle, Nieters, Alexandra, Boeing, Heiner, Tjønneland, Anne, Overvad, Kim, Martinez, Carmen, Dorronsoro, Miren, González, Carlos A, Ardanaz, Eva, Navarro, Carmen, Quirós, José R, Key, Timothy J, Day, Nicholas E, Trichopoulou, Antonia, Naska, Androniki, Krogh, Vittorio, Tumino, Rosario, Palli, Domenico, Panico, Salvatore, Vineis, Paolo, Bueno-de-Mesquita, H B, Ocké, Marga C, Peeters, Petra H M, Berglund, Göran, Hallmans, Göran, Lund, Eiliv, Skeie, Guri, Kaaks, Rudolf, Riboli, Elio, Bingham, Sheila A, Norat, Teresa, Moskal, Aurelie, Ferrari, Pietro, Slimani, Nadia, Clavel-Chapelon, Françoise, Kesse, Emmanuelle, Nieters, Alexandra, Boeing, Heiner, Tjønneland, Anne, Overvad, Kim, Martinez, Carmen, Dorronsoro, Miren, González, Carlos A, Ardanaz, Eva, Navarro, Carmen, Quirós, José R, Key, Timothy J, Day, Nicholas E, Trichopoulou, Antonia, Naska, Androniki, Krogh, Vittorio, Tumino, Rosario, Palli, Domenico, Panico, Salvatore, Vineis, Paolo, Bueno-de-Mesquita, H B, Ocké, Marga C, Peeters, Petra H M, Berglund, Göran, Hallmans, Göran, Lund, Eiliv, Skeie, Guri, Kaaks, Rudolf, and Riboli, Elio

Published
2005

32. Dietary acrylamide intake of adults in the European Prospective Investigation into Cancer and Nutrition differs greatly according to geographical region

Author

Freisling, Heinz, primary, Moskal, Aurelie, additional, Ferrari, Pietro, additional, Nicolas, Geneviève, additional, Knaze, Viktoria, additional, Clavel-Chapelon, Françoise, additional, Boutron-Ruault, Marie-Christine, additional, Nailler, Laura, additional, Teucher, Birgit, additional, Grote, Verena A., additional, Boeing, Heiner, additional, Clemens, Matthias, additional, Tjønneland, Anne, additional, Olsen, Anja, additional, Overvad, Kim, additional, Quirós, J. Ramón, additional, Duell, Eric J., additional, Sánchez, María-José, additional, Amiano, Pilar, additional, Chirlaque, Maria-Dolores, additional, Barricarte, Aurelio, additional, Khaw, Kay-Tee, additional, Wareham, Nicholas J., additional, Crowe, Francesca L., additional, Gallo, Valentina, additional, Oikonomou, Eleni, additional, Naska, Androniki, additional, Trichopoulou, Antonia, additional, Palli, Domenico, additional, Agnoli, Claudia, additional, Tumino, Rosario, additional, Polidoro, Silvia, additional, Mattiello, Amalia, additional, Bueno-de-Mesquita, H. Bas, additional, Ocké, Marga C., additional, Peeters, Petra H. M., additional, Wirfält, Elisabet, additional, Ericson, Ulrika, additional, Bergdahl, Ingvar A., additional, Johansson, Ingegerd, additional, Hjartåker, Anette, additional, Engeset, Dagrun, additional, Skeie, Guri, additional, Riboli, Elio, additional, and Slimani, Nadia, additional

Published
2012
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33. Is the Association with Fiber from Foods in Colorectal Cancer Confounded by Folate Intake?

Author

Bingham, Sheila A., primary, Norat, Teresa, additional, Moskal, Aurelie, additional, Ferrari, Pietro, additional, Slimani, Nadia, additional, Clavel-Chapelon, Françoise, additional, Kesse, Emmanuelle, additional, Nieters, Alexandra, additional, Boeing, Heiner, additional, Tjønneland, Anne, additional, Overvad, Kim, additional, Martinez, Carmen, additional, Dorronsoro, Miren, additional, González, Carlos A., additional, Ardanaz, Eva, additional, Navarro, Carmen, additional, Quirós, José R., additional, Key, Timothy J., additional, Day, Nicholas E., additional, Trichopoulou, Antonia, additional, Naska, Androniki, additional, Krogh, Vittorio, additional, Tumino, Rosario, additional, Palli, Domenico, additional, Panico, Salvatore, additional, Vineis, Paolo, additional, Bueno-de-Mesquita, H.B., additional, Ocké, Marga C., additional, Peeters, Petra H.M., additional, Berglund, Göran, additional, Hallmans, Göran, additional, Lund, Eiliv, additional, Skeie, Guri, additional, Kaaks, Rudolf, additional, and Riboli, Elio, additional

Published
2005
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34. The amount and type of dairy product intake and incident type 2 diabetes: results from the EPIC-lnterAct Study.

Author

Sluijs, Ivonne, Forouhi, Nita G., Beulens, Joline W. J., van der Schouw, Yvonne T., Agnoli, Claudia, Arriola, Larraitz, Balkau, Beverley, Barricarte, Aurelio, Boeing, Heiner, Bueno-de-Mesquita, H. Bas, Clavel-Chapelon, Françoise, Crowe, Francesca L., de Lauzon-Guillain, Blandine, Drogan, Dagmar, Franks, Paul W., Gavrila, Diana, Gonzalez, Carlos, Halkjœr, Jytte, Kaaks, Rudolf, and Moskal, Aurelie

Subjects
TYPE 2 diabetes risk factors, ANTHROPOMETRY, CONFIDENCE intervals, DAIRY products, EPIDEMIOLOGY, INGESTION, QUESTIONNAIRES, RESEARCH funding, DATA analysis, PROPORTIONAL hazards models, DATA analysis software
Abstract

Background: Dairy product intake may be inversely associated with risk of type 2 diabetes, but the evidence is inconclusive for total dairy products and sparse for types of dairy products. Objective: The objective was to investigate the prospective association of total dairy products and different dairy subtypes with incidence of diabetes in populations with marked variation of intake of these food groups. Design: A nested case-cohort within 8 European countries of the European Prospective Investigation into Cancer and Nutrition Study (n = 340,234; 3.99 million person-years of follow-up) included a random subcohort (n = 16,835) and incident diabetes cases (n = 12,403). Baseline dairy product intake was assessed by using dietary questionnaires. Country-specific Prentice-weighted Cox regression HRs were calculated and pooled by using a random-effects meta-analysis. Results: Intake of total dairy products was not associated with diabetes (HR for the comparison of the highest with the lowest quintile of total dairy products: 1.01; 95% CI: 0.83, 1.34; P-trend = 0.92) in an analysis adjusted for age, sex, BMI, diabetes risk factors, education, and dietary factors. Of the dairy subtypes, cheese intake tended to have an inverse association with diabetes (HR: 0.88; 95% CI: 0.76, 1.02; f-trend = 0.01), and a higher combined intake of fermented dairy products (cheese, yogurt, and thick fermented milk) was inversely associated with diabetes (HR: 0.88; 95% CI: 0.78, 0.99; P-trend = 0.02) in adjusted analyses that compared extreme quintiles. Conclusions: This large prospective study found no association between total dairy product intake and diabetes risk. An inverse association of cheese intake and combined fermented dairy product intake with diabetes is suggested, which merits further study. [ABSTRACT FROM AUTHOR]

Published
2012
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35. A treelet transform analysis to relate nutrient patterns to the risk of hormonal receptor-defined breast cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC).

Author

Assi N, Moskal A, Slimani N, Viallon V, Chajes V, Freisling H, Monni S, Knueppel S, Förster J, Weiderpass E, Lujan-Barroso L, Amiano P, Ardanaz E, Molina-Montes E, Salmerón D, Quirós JR, Olsen A, Tjønneland A, Dahm CC, Overvad K, Dossus L, Fournier A, Baglietto L, Fortner RT, Kaaks R, Trichopoulou A, Bamia C, Orfanos P, De Magistris MS, Masala G, Agnoli C, Ricceri F, Tumino R, Bueno de Mesquita HB, Bakker MF, Peeters PH, Skeie G, Braaten T, Winkvist A, Johansson I, Khaw KT, Wareham NJ, Key T, Travis R, Schmidt JA, Merritt MA, Riboli E, Romieu I, and Ferrari P

Subjects
Adult, Breast Neoplasms etiology, Breast Neoplasms metabolism, Diet Surveys, Europe, Female, Humans, Menopause, Middle Aged, Proportional Hazards Models, Risk Factors, Breast Neoplasms prevention & control, Diet, Feeding Behavior, Receptors, Estrogen metabolism, Receptors, Progesterone metabolism
Abstract

Objective: Pattern analysis has emerged as a tool to depict the role of multiple nutrients/foods in relation to health outcomes. The present study aimed at extracting nutrient patterns with respect to breast cancer (BC) aetiology., Design: Nutrient patterns were derived with treelet transform (TT) and related to BC risk. TT was applied to twenty-three log-transformed nutrient densities from dietary questionnaires. Hazard ratios (HR) and 95 % confidence intervals computed using Cox proportional hazards models quantified the association between quintiles of nutrient pattern scores and risk of overall BC, and by hormonal receptor and menopausal status. Principal component analysis was applied for comparison., Setting: The European Prospective Investigation into Cancer and Nutrition (EPIC)., Subjects: Women (n 334 850) from the EPIC study., Results: The first TT component (TC1) highlighted a pattern rich in nutrients found in animal foods loading on cholesterol, protein, retinol, vitamins B12 and D, while the second TT component (TC2) reflected a diet rich in β-carotene, riboflavin, thiamin, vitamins C and B6, fibre, Fe, Ca, K, Mg, P and folate. While TC1 was not associated with BC risk, TC2 was inversely associated with BC risk overall (HRQ5 v. Q1=0·89, 95 % CI 0·83, 0·95, P trend<0·01) and showed a significantly lower risk in oestrogen receptor-positive (HRQ5 v. Q1=0·89, 95 % CI 0·81, 0·98, P trend=0·02) and progesterone receptor-positive tumours (HRQ5 v. Q1=0·87, 95 % CI 0·77, 0·98, P trend<0·01)., Conclusions: TT produces readily interpretable sparse components explaining similar amounts of variation as principal component analysis. Our results suggest that participants with a nutrient pattern high in micronutrients found in vegetables, fruits and cereals had a lower risk of BC.

Published
2016
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