Ontology type: schema:ScholarlyArticle Open Access: True
2011-07
AUTHORSM C Ocké, N Slimani, H Brants, E Buurma-Rethans, C Casagrande, G Nicolas, M Dofkova, C le Donne, H Freisling, A Geelen, I Huybrechts, W De Keyzer, J D van der Laan, L Lafay, I T Lillegaard, E M Niekerk, J H de Vries, E C Wilson- van den Hooven, E J de Boer
ABSTRACTBACKGROUND/OBJECTIVES: To describe the strengths, limitations and requirements of using EPIC-Soft software (the software developed to conduct 24-h dietary recalls in the European Prospective Investigation into Cancer and Nutrition (EPIC) Study) in pan-European food consumption surveys, and to discuss potentials and barriers for a harmonized pan-European food consumption survey. SUBJECTS/METHODS: The paper is based on the experiences in the 'European Food Consumption and Validation' Project, which included updating six existing and preparing one new country-specific EPIC-Soft version, applying EPIC-Soft in validation and feasibility studies, and estimating the intake of nutrients and flavoring substances. The experiences were discussed in the September 2009 workshop 'Pan-European Food Consumption Surveys--for Standardized and Comparable Transnational Data Collection'. RESULTS: EPIC-Soft is suitable for detailed and standardized food consumption data collection in pan-European food consumption surveys. A thorough preparation of all aspects of the food consumption survey is important for the quality and efficiency during data collection and processing. The preparation and data-handling phase of working with EPIC-Soft is labor intensive and requires trained, motivated and qualified personnel. CONCLUSIONS: Given the suitability of EPIC-Soft as standardized dietary assessment tool in European dietary monitoring, the proposed strategy toward a pan-European food consumption survey is to prepare well, to allow flexibility in national extensions and to start with a limited number of countries that are interested. More... »
PAGESs48
http://scigraph.springernature.com/pub.10.1038/ejcn.2011.87
DOIhttp://dx.doi.org/10.1038/ejcn.2011.87
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1029457338
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/21731005
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19 BLANK NODES