International Journal of Epidemiology, Vol 26, S15-S25, Copyright © 1997 by International Epidemiological Association
R Kaaks and E Riboli
The statistical power of prospective studies on diet in relation to chronic
disease risk can be improved by maximizing the variation in true intake
levels actually distinguished--or 'predicted'--by dietary questionnaire
assessments collected at baseline. This can be achieved by 1) developing a
questionnaire method that provides measurements with the smallest possible
random errors, thus maximizing the correlation of measured with true
habitual intake levels; and 2) increasing the between-person variation in
true dietary intake levels when combining multiple cohorts in populations
with diverse consumption patterns. The first approach implies that, during
the development or selection of the questionnaire method, correlations
between measurements and true intake levels can be monitored; the second
approach requires adjustment for between-centre differences in over--or
underestimation of dietary questionnaire measurements. Besides optimizing
the statistical power, it is important that the magnitude of the predicted
variation in true intake level is estimated accurately, so as to allow
unbiased estimations of relative risks. To meet these various objectives,
substudies must be conducted for the 'validation' or 'calibration' of
dietary questionnaire assessments, by comparison with additional
measurements that have independent sources of error. This paper reviews the
methodological considerations underlying the design and implementation of
such substudies in the EPIC project, a collaborative multicentre study in
nine Western European countries.
ARTICLES
Validation and calibration of dietary intake measurements in the EPIC project: methodological considerations. European Prospective Investigation into Cancer and Nutrition
International Agency for Research on Cancer, Lyon, France.
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