Development of a food composition database to study complementary feeding: An Italian experience |
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| Institution: | 1. S.S.DPT Epidemiologia clinica e ricerca sui servizi sanitari, IRCCS materno infantile Burlo Garofolo, via dell’Istria 65/1, 34137 Trieste, Italy;2. Dipartimento di Scienze Mediche e Biologiche, Università degli Studi di Udine, p.le Kolbe 3, 33100 Udine, Italy;3. Dipartimento universitario clinico di Scienze Mediche Chirurgiche e della Salute, Università degli Studi di Trieste, Strada di Fiume 447, 34149 Trieste, Italy;1. National Institute of Public Health, Cuernavaca, Morelos, Mexico;2. Mexican Institute of Social Security, Cuernavaca, Morelos, Mexico;1. Cardiff School of Pharmacy and Pharmaceutical Sciences, Cardiff University, Cardiff, UK;2. Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada;3. Hospital Infection Research Laboratory, Queen Elizabeth Hospital Birmingham, Birmingham, UK;1. Columbia Asia Hospital, Kolkata, India;2. Midland Hospital, Guwahati, India;3. Nestle Nutrition, Kolkata, India;4. Medical and Scientific Affairs, Nestle Nutrition, South Asia Region, India;1. Departamento de Ciencias Farmacéuticas y de la Salud, Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, Urbanización Montepríncipe, 28925, Alcorcón, Madrid, Spain;2. Centro de Nutrición Pirámide, 28806, Alcalá de Henares, Madrid, Spain;3. Universidad Complutense de Madrid, 28040, Madrid, Spain;4. Departamento Salud y Nutrición, Coca-Cola Iberia, 28402, Madrid, Spain;5. Spanish Nutrition Foundation (FEN), 28010 Madrid, Spain;1. Unilever R&D, Olivier van Noortlaan 120, 3130AC Vlaardingen, The Netherlands;2. Faculty of Public Health, University of Indonesia, Depok 16424, Indonesia;3. Faculty of Human Ecology, Bogor Agricultural University, Kampus IPB Darmaga, Bogor 16880, Indonesia;4. Danone Nutricia Research Singapore, 30 Biopolis Street, 138671, Singapore;5. Danone Nutricia Research, Uppsalalaan 12, 3584 CT Utrecht, The Netherlands;1. Food Research Center (FoRC/CEPID/FAPESP), FCF/USP. São Paulo, Brazil;2. Applied Human Nutrition Interunits Program (PRONUT), FCF/FEA/FSP - University of São Paulo (USP), São Paulo, SP, Brazil;3. Department of Food and Experimental Nutrition, Faculty of Pharmaceutical Sciences, University of São Paulo (USP), São Paulo, SP, Brazil;4. Coordinators of BRASILFOODS, São Paulo, SP, Brazil;5. Nutrition Departament, Faculty of Public Health, University of São Paulo (USP), São Paulo, SP, Brazil;6. Epidemiology Departament, Social Medicine Institute, University of Rio de Janeiro State, Rio de Janeiro, Brazil;7. Department of Social and Applied Nutrition, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil |
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| Abstract: | Food Composition Databases (FCDBs) are important tools for epidemiological research, public health nutrition and education, clinical practice and nutrition declaration on food labels. The aim of this paper is to describe the methodology used to compile a FCDB for the analysis on the dietary intake of an Italian cohort of infants, and to assess its strengths and weaknesses. Dietary data were collected using a 3-DD records compiled at 6, 9 and 12 months of age of the infants. We developed a FCDB that contains data from the Italian and the USDA food composition databases and other sources. Our FCDB includes 563 food derived from the analysis of 623 3-DD records. Non-commercial products are more consumed than commercial products (25.5% vs. 9.1% at 6 months, 58.4% vs. 18.1% at 9 months and 77.8% vs. 11.3% at 12 months) but the latter are the main source of missing data (>70% in each database, with the exception of the energy components), which is one of the major weaknesses of this tool. An integrated system of data collection (NUTRIRETE.lab) that brings together food composition data from public and private laboratories will allow us to build a more complete and representative food composition database. |
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| Keywords: | Prospective cohort study Infants Complementary feeding Food composition database Missing data Food sources Food analysis Food composition |
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