BACKGROUND: International multicentre studies on diet and cancer are relatively new in epidemiological research. They offer a series of challenging methodological issues for the evaluation of the association between dietary exposure and disease outcomes, which can both be quite heterogeneous across different geographical regions. This requires considerable work to standardize dietary measurements at the food and the nutrient levels. METHODS: Within the European Prospective Investigation into Cancer and Nutrition (EPIC), a calibration study was set up to express individual dietary intakes according to the same reference scale. A linear regression calibration model was used to correct the association between diet and disease for measurement errors in dietary exposures. In the present work, we describe an approach for analysing the EPIC data, using as an example the evaluation of the association between fish intake and colorectal cancer incidence. RESULTS: Sex- and country-specific attenuation factors ranged from 0.083 to 0.784, with values overall higher for men compared with women. Hazard ratio estimates of colorectal cancer for a 10 g/day increase in fish intake were 0.97 [95% confidence interval (CI): 0.95-0.99] and 0.93 (0.88-0.98), before and after calibration, respectively. CONCLUSIONS: In a multicentre study, the diet/disease association can be evaluated by exploiting the whole variability of intake over the entire study. Calibration may reduce between-centre heterogeneity in the diet-disease relationship caused by differential impact of measurement errors across cohorts.
BACKGROUND: International multicentre studies on diet and cancer are relatively new in epidemiological research. They offer a series of challenging methodological issues for the evaluation of the association between dietary exposure and disease outcomes, which can both be quite heterogeneous across different geographical regions. This requires considerable work to standardize dietary measurements at the food and the nutrient levels. METHODS: Within the European Prospective Investigation into Cancer and Nutrition (EPIC), a calibration study was set up to express individual dietary intakes according to the same reference scale. A linear regression calibration model was used to correct the association between diet and disease for measurement errors in dietary exposures. In the present work, we describe an approach for analysing the EPIC data, using as an example the evaluation of the association between fish intake and colorectal cancer incidence. RESULTS: Sex- and country-specific attenuation factors ranged from 0.083 to 0.784, with values overall higher for men compared with women. Hazard ratio estimates of colorectal cancer for a 10 g/day increase in fish intake were 0.97 [95% confidence interval (CI): 0.95-0.99] and 0.93 (0.88-0.98), before and after calibration, respectively. CONCLUSIONS: In a multicentre study, the diet/disease association can be evaluated by exploiting the whole variability of intake over the entire study. Calibration may reduce between-centre heterogeneity in the diet-disease relationship caused by differential impact of measurement errors across cohorts.
Authors: Sandra P Crispim; Anouk Geelen; Jeanne H M de Vries; Heinz Freisling; Olga W Souverein; Paul J M Hulshof; Marga C Ocke; Hendriek Boshuizen; Lene F Andersen; Jiri Ruprich; Willem De Keyzer; Willem De Keizer; Inge Huybrechts; Lionel Lafay; Maria S de Magistris; Fulvio Ricceri; Rosario Tumino; Vittorio Krogh; H Bas Bueno-de-Mesquita; Joline W J Beulens; Marie-Christine Boutron-Ruault; Androniki Naska; Francesca L Crowe; Heiner Boeing; Alison McTaggart; Rudolf Kaaks; Pieter Van't Veer; Nadia Slimani Journal: Eur J Nutr Date: 2011-12-06 Impact factor: 5.614
Authors: Isabelle Romieu; Pietro Ferrari; Veronique Chajès; Jordi de Batlle; Carine Biessy; Chiara Scoccianti; Laure Dossus; Marie Christine Boutron; Nadia Bastide; Kim Overvad; Anja Olsen; Anne Tjønneland; Rudolf Kaaks; Heiner Boeing; Antonia Trichopoulou; Pagona Lagiou; Dimitrios Trichopoulos; Domenico Palli; Sabina Sieri; Rosario Tumino; Paolo Vineis; Salvatore Panico; H B As Bueno-de-Mesquita; Carla H Gils; Petra H Peeters; Eiliv Lund; Guri Skeie; Elisabete Weiderpass; J Ramón Quirós; María-Dolores Chirlaque; Eva Ardanaz; María-José Sánchez; Eric J Duell; Pilar Amiano Etxezarreta; Signe Borgquist; Göran Hallmans; Ingegerd Johansson; Lena Maria Nilsson; Kay-Tee Khaw; Nick Wareham; Timothy J Key; Ruth C Travis; Neil Murphy; Petra A Wark; Elio Riboli Journal: Int J Cancer Date: 2017-01-15 Impact factor: 7.396
Authors: V Fedirko; A Lukanova; C Bamia; A Trichopolou; E Trepo; U Nöthlings; S Schlesinger; K Aleksandrova; P Boffetta; A Tjønneland; N F Johnsen; K Overvad; G Fagherazzi; A Racine; M C Boutron-Ruault; V Grote; R Kaaks; H Boeing; A Naska; G Adarakis; E Valanou; D Palli; S Sieri; R Tumino; P Vineis; S Panico; H B As Bueno-de-Mesquita; P D Siersema; P H Peeters; E Weiderpass; G Skeie; D Engeset; J R Quirós; R Zamora-Ros; M J Sánchez; P Amiano; J M Huerta; A Barricarte; D Johansen; B Lindkvist; M Sund; M Werner; F Crowe; K T Khaw; P Ferrari; I Romieu; S C Chuang; E Riboli; M Jenab Journal: Ann Oncol Date: 2012-11-02 Impact factor: 32.976
Authors: F L Büchner; H B Bueno-de-Mesquita; J Linseisen; H C Boshuizen; L A L M Kiemeney; M M Ros; K Overvad; L Hansen; A Tjonneland; O Raaschou-Nielsen; F Clavel-Chapelon; M-C Boutron-Ruault; M Touillaud; R Kaaks; S Rohrmann; H Boeing; U Nöthlings; A Trichopoulou; D Zylis; V Dilis; D Palli; S Sieri; P Vineis; R Tumino; S Panico; P H M Peeters; C H van Gils; E Lund; I T Gram; T Braaten; C Martinez; A Agudo; L Arriola; E Ardanaz; C Navarro; L Rodríguez; J Manjer; E Wirfält; G Hallmans; T Rasmuson; T J Key; A W Roddam; S Bingham; K-T Khaw; N Slimani; P Bofetta; G Byrnes; T Norat; D Michaud; E Riboli Journal: Cancer Causes Control Date: 2010-03 Impact factor: 2.506