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

Open access
Slimani, N, Kaaks, R, Ferrari, P, Casagrande, C, Clavel-Chapelon, F, Lotze, G, Kroke, A, Trichopoulos, D, Trichopoulou, A, Lauria, C, Bellegotti, M, Ocké, MC, Peeters, PHM, Engeset, D, Lund, E, Agudo, A, Larrañaga, N, Mattisson, I, Andren, C, Johansson, I, Davey, G, Welch, AA, Overvad, K, Tjønneland, A, van Staveren, WA, Saracci, R, Riboli, E·2002·Public Health Nutrition

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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Metadata

Authors
Slimani, N., Kaaks, R., Ferrari, P., Casagrande, C., Clavel-Chapelon, F., Lotze, G., Kroke, A., Trichopoulos, D., Trichopoulou, A., Lauria, C., Bellegotti, M., Ocké, M., Peeters, P., Engeset, D., Lund, E., Agudo, A., Larrañaga, N., Mattisson, I., Andren, C., Johansson, I., Davey, G., Welch, A., Overvad, K., Tjønneland, A., van Staveren, W., Saracci, R., & Riboli, E.
Venue
Public Health Nutrition
Published
2002-12
Volume
5
Issue
6b
Pages
1125-1145
ISSN
  • 1368-9800 (ISSN-L)
  • 1475-2727
OpenAlex
W2018015534
Cited by
385
References
2
FWCI
15.66
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: European Prospective Investigation into Cancer and Nutrition (EPIC) calibration study: rationale, design and population characteristics. https://app.cochat.ai/papers/10.1079/phn2002395
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Slimani, N., Kaaks, R., Ferrari, P., Casagrande, C., Clavel-Chapelon, F., Lotze, G., Kroke, A., Trichopoulos, D., Trichopoulou, A., Lauria, C., Bellegotti, M., Ocké, M., Peeters, P., Engeset, D., Lund, E., Agudo, A., Larrañaga, N., Mattisson, I., Andren, C., . . . Riboli, E. (2002). European Prospective Investigation into Cancer and Nutrition (EPIC) calibration study: rationale, design and population characteristics. Public Health Nutrition. https://doi.org/10.1079/phn2002395

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.