Literature DB >> 12639223

European Prospective Investigation into Cancer and Nutrition (EPIC) calibration study: rationale, design and population characteristics.

N Slimani1, R Kaaks, P Ferrari, C Casagrande, F Clavel-Chapelon, G Lotze, A Kroke, D Trichopoulos, A Trichopoulou, C Lauria, M Bellegotti, M C Ocké, P H M Peeters, D Engeset, E Lund, A Agudo, N Larrañaga, I Mattisson, C Andren, I Johansson, G Davey, A A Welch, K Overvad, A Tjønneland, W A Van Staveren, R Saracci, E Riboli.   

Abstract

The European Prospective Investigation into Cancer and Nutrition (EPIC), which covers a large cohort of half a million men and women from 23 European centres in 10 Western European countries, was designed to study the relationship between diet and the risk of chronic diseases, particularly cancer. Information on usual individual dietary intake was assessed using different validated dietary assessment methods across participating countries. In order to adjust for possible systematic over- or underestimation in dietary intake measurements and correct for attenuation bias in relative risk estimates, a calibration approach was developed. This approach involved an additional dietary assessment common across study populations to re-express individual dietary intakes according to the same reference scale. A single 24-hour diet recall was therefore collected, as the EPIC reference calibration method, from a stratified random sample of 36 900 subjects from the entire EPIC cohort, using a software program (EPIC-SOFT) specifically designed to standardise the dietary measurements across study populations. This paper describes the design and populations of the calibration sub-studies set up in the EPIC centres. In addition, to assess whether the calibration sub-samples were representative of the entire group of EPIC cohorts, a series of subjects' characteristics known possibly to influence dietary intakes was compared in both population groups. This was the first time that calibration sub-studies had been set up in a large multi-centre European study. These studies showed that, despite certain inherent methodological and logistic constraints, a study design such as this one works relatively well in practice. The average response in the calibration study was 78.3% and ranged from 46.5% to 92.5%. The calibration population differed slightly from the overall cohort but the differences were small for most characteristics and centres. The overall results suggest that, after adjustment for age, dietary intakes estimated from calibration samples can reasonably be interpreted as representative of the main cohorts in most of the EPIC centres.

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Year:  2002        PMID: 12639223     DOI: 10.1079/PHN2002395

Source DB:  PubMed          Journal:  Public Health Nutr        ISSN: 1368-9800            Impact factor:   4.022


  79 in total

1.  Bias in protein and potassium intake collected with 24-h recalls (EPIC-Soft) is rather comparable across European populations.

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

2.  Generalizability of relative risk estimates from a well-defined population to a general population.

Authors:  Motoki Iwasaki; Seiichiro Yamamoto; Tetsuya Otani; Manami Inoue; Tomoyuki Hanaoka; Tomotaka Sobue; Shoichiro Tsugane
Journal:  Eur J Epidemiol       Date:  2006       Impact factor: 8.082

3.  Modified Mediterranean diet and survival: evidence for diet linked longevity is substantial.

Authors:  Emanuele Cereda; Alexis E Malavazos; Carla Favaro; Anna M Pagani
Journal:  BMJ       Date:  2005-06-04

Review 4.  Biomarkers in nutritional epidemiology: applications, needs and new horizons.

Authors:  Mazda Jenab; Nadia Slimani; Magda Bictash; Pietro Ferrari; Sheila A Bingham
Journal:  Hum Genet       Date:  2009-04-09       Impact factor: 4.132

5.  Methodological challenges in the application of the glycemic index in epidemiological studies using data from the European Prospective Investigation into Cancer and Nutrition.

Authors:  Marit M E van Bakel; Nadia Slimani; Edith J M Feskens; Huaidong Du; Joline W J Beulens; Yvonne T van der Schouw; Furio Brighenti; Jytte Halkjaer; Anne E Cust; Pietro Ferrari; Jennie Brand-Miller; H Bas Bueno-de-Mesquita; Petra Peeters; Eva Ardanaz; Miren Dorronsoro; Francesca L Crowe; Sheila Bingham; Sabine Rohrmann; Heiner Boeing; Ingegerd Johansson; Jonas Manjer; Anne Tjonneland; Kim Overvad; Eiliv Lund; Guri Skeie; Amalia Mattiello; Simonetta Salvini; Françoise Clavel-Chapelon; Rudolf Kaaks
Journal:  J Nutr       Date:  2009-01-21       Impact factor: 4.798

6.  Application of a repeat-measure biomarker measurement error model to 2 validation studies: examination of the effect of within-person variation in biomarker measurements.

Authors:  Sarah Rosner Preis; Donna Spiegelman; Barbara Bojuan Zhao; Alanna Moshfegh; David J Baer; Walter C Willett
Journal:  Am J Epidemiol       Date:  2011-02-22       Impact factor: 4.897

7.  Pooled results from 5 validation studies of dietary self-report instruments using recovery biomarkers for energy and protein intake.

Authors:  Laurence S Freedman; John M Commins; James E Moler; Lenore Arab; David J Baer; Victor Kipnis; Douglas Midthune; Alanna J Moshfegh; Marian L Neuhouser; Ross L Prentice; Arthur Schatzkin; Donna Spiegelman; Amy F Subar; Lesley F Tinker; Walter Willett
Journal:  Am J Epidemiol       Date:  2014-06-10       Impact factor: 4.897

8.  Food intake of individuals with and without diabetes across different countries and ethnic groups.

Authors:  U Nöthlings; H Boeing; G Maskarinec; D Sluik; B Teucher; R Kaaks; A Tjønneland; J Halkjaer; C Dethlefsen; K Overvad; P Amiano; E Toledo; B Bendinelli; S Grioni; R Tumino; C Sacerdote; A Mattiello; J W J Beulens; J A Iestra; A M W Spijkerman; D L van der A; P Nilsson; E Sonestedt; O Rolandsson; P W Franks; A-C Vergnaud; D Romaguera; T Norat; L N Kolonel
Journal:  Eur J Clin Nutr       Date:  2011-02-23       Impact factor: 4.016

9.  Meat and heme iron intake and risk of squamous cell carcinoma of the upper aero-digestive tract in the European Prospective Investigation into Cancer and Nutrition (EPIC).

Authors:  Annika Steffen; Manuela M Bergmann; María-José Sánchez; Maria-Dolores Chirlaque; Paula Jakszyn; Pilar Amiano; J Ramón Quirós; Aurelio Barricarte Gurrea; Pietro Ferrari; Isabelle Romieu; Veronika Fedirko; H B As Bueno-de-Mesquita; Peter D Siersema; Petra H M Peeters; Kay-Tee Khaw; Nick Wareham; Naomi E Allen; Francesca L Crowe; Guri Skeie; Göran Hallmanns; Ingegerd Johansson; Signe Borgquist; Ulrika Ericson; Rikke Egeberg; Anne Tjønneland; Kim Overvad; Verena Grote; Kuanrong Li; Antonia Trichopoulou; Despoina Oikonomidou; Menelaos Pantzalis; Rosario Tumino; Salvatore Panico; Domenico Palli; Vittorio Krogh; Alessio Naccarati; Traci Mouw; Anne-Claire Vergnaud; Teresa Norat; Heiner Boeing
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2012-10-02       Impact factor: 4.254

10.  Statistical approaches to harmonize data on cognitive measures in systematic reviews are rarely reported.

Authors:  Lauren E Griffith; Edwin van den Heuvel; Isabel Fortier; Nazmul Sohel; Scott M Hofer; Hélène Payette; Christina Wolfson; Sylvie Belleville; Meghan Kenny; Dany Doiron; Parminder Raina
Journal:  J Clin Epidemiol       Date:  2014-12-08       Impact factor: 6.437

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