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The evaluation of the diet/disease relation in the EPIC study: considerations for the calibration and the disease models

Ferrari, Pietro ; Day, Nicholas E. ; Boshuizen, Hendriek C. ; Roddam, Andrew ; Hoffmann, Kurt ; Thiebaut, Anne ; Pera, Guillem ; Overvad, Kim ; Lund, Eiliv and Trichopoulou, Antonia , et al. (2008) In International Journal of Epidemiology 37(2). p.368-378
Abstract
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... (More)
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): 0.950.99] and 0.93 (0.880.98), 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 dietdisease relationship caused by differential impact of measurement errors across cohorts. (Less)
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organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
calibration, measurement error, diet, EPIC, multicentre study
in
International Journal of Epidemiology
volume
37
issue
2
pages
368 - 378
publisher
Oxford University Press
external identifiers
  • wos:000254713400026
  • scopus:41849142714
  • pmid:18180242
ISSN
1464-3685
DOI
10.1093/ije/dym242
language
English
LU publication?
yes
id
dea6c312-32df-41d4-bf26-d186c2a018fb (old id 1207471)
date added to LUP
2016-04-01 12:04:56
date last changed
2022-03-28 20:01:38
@article{dea6c312-32df-41d4-bf26-d186c2a018fb,
  abstract     = {{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): 0.950.99] and 0.93 (0.880.98), 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 dietdisease relationship caused by differential impact of measurement errors across cohorts.}},
  author       = {{Ferrari, Pietro and Day, Nicholas E. and Boshuizen, Hendriek C. and Roddam, Andrew and Hoffmann, Kurt and Thiebaut, Anne and Pera, Guillem and Overvad, Kim and Lund, Eiliv and Trichopoulou, Antonia and Tumino, Rosario and Gullberg, Bo and Norat, Teresa and Slimani, Nadia and Kaaks, Rudolf and Riboli, Elio}},
  issn         = {{1464-3685}},
  keywords     = {{calibration; measurement error; diet; EPIC; multicentre study}},
  language     = {{eng}},
  number       = {{2}},
  pages        = {{368--378}},
  publisher    = {{Oxford University Press}},
  series       = {{International Journal of Epidemiology}},
  title        = {{The evaluation of the diet/disease relation in the EPIC study: considerations for the calibration and the disease models}},
  url          = {{http://dx.doi.org/10.1093/ije/dym242}},
  doi          = {{10.1093/ije/dym242}},
  volume       = {{37}},
  year         = {{2008}},
}