Hostname: page-component-586b7cd67f-tf8b9 Total loading time: 0 Render date: 2024-11-23T21:23:13.046Z Has data issue: false hasContentIssue false

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

Published online by Cambridge University Press:  02 January 2007

N Slimani*
Affiliation:
Unit of Nutrition and Cancer, International Agency for Research on Cancer (IARC–WHO), 150 cours Albert-Thomas, 69372 Lyon Cedex 08, France
R Kaaks
Affiliation:
Hormones and Cancer Group, IARC–WHO, Lyon, France
P Ferrari
Affiliation:
Unit of Nutrition and Cancer, International Agency for Research on Cancer (IARC–WHO), 150 cours Albert-Thomas, 69372 Lyon Cedex 08, France
C Casagrande
Affiliation:
Unit of Nutrition and Cancer, International Agency for Research on Cancer (IARC–WHO), 150 cours Albert-Thomas, 69372 Lyon Cedex 08, France
F Clavel-Chapelon
Affiliation:
INSERM, U521, Institute Gustave Roussy, Villejuif, France
G Lotze
Affiliation:
Division of Clinical Epidemiology, German Cancer Research Centre, Heidelberg, Germany
A Kroke
Affiliation:
German Institute of Human Nutrition, Potsdam-Rehbrücke, Germany
D Trichopoulos
Affiliation:
Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA Department of Hygiene and Epidemiology, School of Medicine, University of Athens, Greece
A Trichopoulou
Affiliation:
Department of Hygiene and Epidemiology, School of Medicine, University of Athens, Greece
C Lauria
Affiliation:
Cancer Registry, ‘Civile – M.P. Arezzo’ Hosptial, Ragusa, Italy
M Bellegotti
Affiliation:
Epidemiology Unit, National Cancer Institute, Milan, Italy
MC Ocké
Affiliation:
Department for Chronic Diseases Epidemiology, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
PHM Peeters
Affiliation:
Julius Center for General Practice and Patient Oriented Research, University of Utrecht, The Netherlands
D Engeset
Affiliation:
Institute of Community Medicine, University of Tromsø, Norway
E Lund
Affiliation:
Institute of Community Medicine, University of Tromsø, Norway
A Agudo
Affiliation:
Department of Epidemiology, Catalan Institute of Oncology, Barcelona, Spain
N Larrañaga
Affiliation:
Public Health Division of Gipuzkoa, Department of Health of the Basque Government, San Sebastian, Spain
I Mattisson
Affiliation:
Department of Medicine, Surgery and Orthopaedics, Lund University, Malmö, Sweden
C Andren
Affiliation:
Department of Medicine, Surgery and Orthopaedics, Lund University, Malmö, Sweden
I Johansson
Affiliation:
Department of Nutritional Research, University of Umeå, Sweden
G Davey
Affiliation:
Cancer Research UK, Epidemiology Unit, University of Oxford, UK
AA Welch
Affiliation:
Institute of Public Health, School of Clinical Medicine, University of Cambridge, UK
K Overvad
Affiliation:
Institute of Epidemiology and Social Medicine, University of Aarhus, Denmark
A Tjønneland
Affiliation:
Institute of Cancer Epidemiology, Danish Cancer Society, Copenhagen, Denmark
WA van Staveren
Affiliation:
Department of Human Nutrition and Epidemiology, Wageningen Agricultural University, The Netherlands
R Saracci
Affiliation:
Unit of Nutrition and Cancer, International Agency for Research on Cancer (IARC–WHO), 150 cours Albert-Thomas, 69372 Lyon Cedex 08, France
E Riboli
Affiliation:
Unit of Nutrition and Cancer, International Agency for Research on Cancer (IARC–WHO), 150 cours Albert-Thomas, 69372 Lyon Cedex 08, France
*
*Corresponding author: Email [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

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.

Type
Research Article
Copyright
Copyright © CABI Publishing 2002

References

1Willett, W. Future research directions. In: Willett, W, ed. Nutritional Epidemiology. New York: Oxford University Press, 1990; 380–5.Google Scholar
2White, E, Hunt, JR, Casso, D. Exposure measurement in cohort studies: the challenges of prospective data collection. Epidemiol. Rev. 1998; 20: 4356.CrossRefGoogle ScholarPubMed
3Willett, WC, Colditz, GA. Approaches for conducting large cohort studies. Epidemiology 1998; 20: 91–9.CrossRefGoogle ScholarPubMed
4Prentice, RL. Design issues in cohort studies. Stat. Meth. Med. Res. 1995; 4: 273–92.CrossRefGoogle ScholarPubMed
5Friedenreich, CM. Methodologic issues for pooling dietary data. Am. J. Clin. Nutr. 1994; 59: S251–2.CrossRefGoogle ScholarPubMed
6Rosner, B, Willett, WC, Spiegelman, D. Correction of logistic relative risk estimates and confidence intervals for systematic within-person measurement error. Stat. Med. 1989; 8: 1051–69.CrossRefGoogle ScholarPubMed
7Plummer, M, Clayton, D, Kaaks, R. Calibration in multi-centre cohort studies. Int. J. Epidemiol. 1994; 23: 419–26.CrossRefGoogle ScholarPubMed
8Kaaks, R, Plummer, M, Riboli, E, Estève, J, van Staveren, WA. Adjustment for bias due to errors in exposure assessments in multi-centre cohort studies on diet and cancer: a calibration approach. Am. J. Clin. Nutr. 1994; 59: S245–50.CrossRefGoogle Scholar
9Kaaks, R, Riboli, E, van Staveren, WA. Calibration of dietary intake measurements in prospective cohort studies. Am. J. Epidemiol. 1995; 142: 548–56.CrossRefGoogle ScholarPubMed
10Kipnis, V, Carroll, RJ, Freedman, LS, Li, L. Implications of a new dietary measurement error model for estimation of relative risk: application to four calibration studies. Am. J. Epidemiol. 1999; 150: 642–51.CrossRefGoogle ScholarPubMed
11Thompson, FE, Moler, JE, Freedman, LS, Clifford, CK, Stables, GJ, Willett, WC. Register of dietary assessment calibration–validation studies: a status report. Am. J. Clin. Nutr. 1997; 65: S1142–7.CrossRefGoogle ScholarPubMed
12Stram, DO, Hankin, JH, Lynne, R, Wilkens, LR, Pike, MC, Monroe, KR, et al. Calibration of the dietary questionnaire for a multiethnic cohort in Hawaii and Los Angeles. Am. J. Epidemiol. 2000; 151: 358–70.CrossRefGoogle ScholarPubMed
13Riboli, E, Elmståhl, S, Saracci, R, Gullberg, B, Lindgärde, F. The Malmö Food Study: validity of two dietary assessment methods for measuring nutrient intakes. Int. J. Epidemiol. 1997; 26: S161–71.CrossRefGoogle Scholar
14Overvad, K, Tjønneland, A, Haraldsdóttir, J, Bang, S, Ewertz, , Møller-Jensen, O. Development of a semi-quantitative food frequency questionnaire to assess food, energy and nutrient intake in Denmark. Int. J. Epidemiol. 1991; 20: 906–12.CrossRefGoogle Scholar
15Bingham, SA, Gill, C, Welch, A, Day, K, Cassidy, A, Khaw, KT, et al. Comparison of dietary assessment methods in nutritional epidemiology: weighted records v. 24 h recalls, food-frequency questionnaires and estimated-diet records. Br. J. Nutr. 1994; 72: 619–43.CrossRefGoogle Scholar
16Margetts, BM, Pietinen, P, Riboli, E, eds. EPIC: European Prospective Investigation into Cancer and Nutrition: validity studies on dietary assessment methods [special issue]. Int. J. Epidemiol. 1997; 26(Suppl. 1): S1–189.CrossRefGoogle Scholar
17Riboli, E, Hunt, K, Slimani, N, Ferrari, P, Norat, T, Fahey, M, et al. European Prospective Investigation into Cancer and Nutrition (EPIC): study populations and data collection. Public Health Nutr. 2002; 5(6B): 1113–24.CrossRefGoogle Scholar
18Slimani, N, Deharveng, G, Charrondière, RU, van Kappel, AL, Ocké, MC, Welch, A, et al. Structure of the standardized computerized 24-hour diet recall interview used as reference method in the 22 centres participating in the EPIC project. Comput. Meth. Programs Biomed. 1999; 53: 251–66.CrossRefGoogle Scholar
19Slimani, N, Ferrari, P, Ocké, M, Welch, A, Boeing, H, van Liere, M, et al. Standardization of the 24-hour diet recall calibration method used in the European Prospective Investigation into Cancer and Nutrition (EPIC): general concepts and preliminary results. Eur. J. Clin. Nutr. 2000; 54: 900–17.CrossRefGoogle ScholarPubMed
20Kaaks, R, Riboli, E, van Staveren, W. Sample size requirements for calibration studies of dietary intake measurements in prospective cohort investigations. Am. J. Epidemiol. 1995; 142: 557–65.CrossRefGoogle ScholarPubMed
21SAS Institute. SAS/STATR User's Guide Version 8: SAS Manual 4(6). Cary, NC: SAS Institute, 19992000.Google Scholar
22Haftenberger, M, Lahmann, PH, Panico, S, Gonzalez, CA, Seidell, JC, Boeing, H, et al. Overweight, obesity and body fat distribution in 50- to 64-year-old participants in the European Prospective Investigation into Cancer and Nutrition (EPIC). Public Health Nutr. 2002; 5(6B): 1147–62.CrossRefGoogle ScholarPubMed
23Haftenberger, M, Schuit, AJ, Tormo, MJ, Boeing, H, Wareham, N, Bueno-de-Mesquita, HB, et al. Physical activity of subjects aged 50–64 years involved in the European Prospective Investigation into Cancer and Nutrition (EPIC). Public Health Nutr. 2002; 5(6B): 1163–77.CrossRefGoogle ScholarPubMed
24Klipstein-Grobusch, K, Slimani, N, Krogh, V, Keil, U, Boeing, H, Overvad, K, et al. Trends in self-reported past alcoholic beverage consumption and ethanol intake from 1950 to 1995 observed in eight European countries participating to the European Investigation into Cancer and Nutrition (EPIC). Public Health Nutr. 2002; 5(6B): 1297–310.Google Scholar
25Pols, MA, Peeters, PH, Ocké, MC, Slimani, N, Bueno-de-Mesquita, HB, Collette, HJA. Estimation of reproducibility and relative validity of the questions included in the EPIC physical activity questionnaires. Int. J. Epidemiol. 1997; 26: S181–9.CrossRefGoogle Scholar
26SENECA Investigators. Assessment of bias in the SENECA study. Eur. J. Clin. Nutr. 1996; 50(Suppl. 2): S4–8.Google Scholar
27Brustad, M, Skeie, G, Braaten, T, Slimani, N, Lund, E. Comparison of telephone versus face-to-face interview in the assessment of dietary intake by the 24-hour recall EPIC-SOFT programme – the Norwegian calibration study. Eur. J. Clin. Nutr. 2002; in press.Google Scholar
28Linseisen, J, Kesse, E, Slimani, N, Bueno-de-Mesquita, BH, Ocké, MC, Skeie, G, et al. Meat consumption in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohorts – results from 24-hour dietary recalls. Public Health Nutr. 2002; 5(6B): 1243–58.CrossRefGoogle ScholarPubMed
29Welch, AA, Lund, E, Amiano, P, Dorronsoro, M, Brustad, M, Kumle, M, et al. Variability of fish consumption within the 10 European countries participating in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Public Health Nutr. 2002; 5(6B): 1273–85.CrossRefGoogle ScholarPubMed
30Sieri, S, Agudo, A, Kesse, E, Klipstein-Grobusch, K, San-José, B, Welch, AA, et al. Patterns of alcohol consumption in 10 European countries participating in the European Prospective Investigation into Cancer and Nutrition (EPIC) project. Public Health Nutr. 2002; 5(6B): 1287–96.CrossRefGoogle ScholarPubMed
31Ferrari, P, Slimani, N, Ciampi, A, Trichopoulos, D, Naska, A, Lauria, C, et al. Evaluation of under- and overreporting of energy intake in the 24-hour diet recalls in the European Prospective Investigation into Cancer and Nutrition (EPIC). Public Health Nutr. 2002; 5(6B): 1329–45.CrossRefGoogle ScholarPubMed