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Methodology for rendering household budget and individual nutrition surveys comparable, at the level of the dietary information collected

Published online by Cambridge University Press:  03 July 2008

A Naska*
Affiliation:
Department of Hygiene and Epidemiology, Medical School, University of Athens, 75 Mikras Asias Street, Athens 115 27, Greece
S Paterakis
Affiliation:
Department of Nutrition and Dietetics, King's College London, Franklin–Wilkins Building, 150 Stamford Street, London SE1 8WA, UK
H Eeckman
Affiliation:
Department of Food Technology and Nutrition, Faculty of Agricultural and Applied Biological Sciences, University of Gent, Coupure Links 653, 9000 Gent, Belgium
AM Remaut
Affiliation:
Department of Food Technology and Nutrition, Faculty of Agricultural and Applied Biological Sciences, University of Gent, Coupure Links 653, 9000 Gent, Belgium
K Trygg
Affiliation:
Institute for Nutrition Research, University of Oslo, 1046 Blindern, 0316 Oslo, Norway
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Abstract

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Objective

To describe the methodology applied in order to render comparable, at the level of the dietary information collected, the household budget survey (HBS) and individual nutrition survey (INS) data from four European countries (Belgium, Greece, Norway and the United Kingdom).

Setting

In Belgium, data from the HBS of 1987–88 were compared with data from the Belgian Interuniversity Research on Nutrition and Health collected from 1980 to 1985. In Greece, data from the HBS undertaken in 1993–94 in the greater Athens area were compared with data collected around 1994 in the same region, in the context of the Greek segment of the European Prospective Investigation on Cancer and Nutrition study. In Norway, data from the HBS carried out in 1992, 1993 and 1994 were compared with the NORKOST study conducted in 1993–94. In the United Kingdom, data from four HBSs carried out in 1985, 1986, 1987 and 1988 were compared with the National Dietary and Nutritional Survey of British adults conducted in 1987–88.

Design

INS-generated data were converted into ‘HBS-like’ estimates with the application of yield factors for weight changes during cooking, recipe-based calculations and edible proportion coefficients taking into account weight changes during the food preparation. The ‘HBS-like’ estimates thus obtained were compared with the original HBS values, after applying an adjustment factor for food spoiled or given to pets.

Conclusion

The methodological considerations overviewed in the present paper indicate that a number of issues need to be taken into account before a proper comparison of the dietary data collected through surveys implemented with varied methodologies is carried out.

Type
Research Article
Copyright
Copyright © CABI Publishing 2001