Abstract
Nutritional studies are aimed at evaluating implications of food behaviour in order to detect possible health problems. Nevertheless, the results can be used to plan educational campaigns, regulatory interventions, and so on. In this context, food classification can vary according to different criteria. Therefore, food coding systems must be flexible enough in order to satisfy the various requirements. This approach has been utilised in the INN-CA study carried out by the Istituto Nazionale della Nutrizione (INN) in 1995, the characteristics and first results are discussed in the present paper.
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© 1999 Springer-Verlag Berlin · Heidelberg
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Turrini, A. (1999). Food Coding in Nutritional Surveys. In: Vichi, M., Opitz, O. (eds) Classification and Data Analysis. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-60126-2_45
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DOI: https://doi.org/10.1007/978-3-642-60126-2_45
Publisher Name: Springer, Berlin, Heidelberg
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