Development of a food composition database to study complementary feeding: An Italian experience

•Description of a FCDB to study complementary feeding in an Italian cohort of infants.•An assessment of missing food composition data was performed.•An analysis of macronutrient and energy food sources was conducted.•A strategy was proposed to create a complete and exhaustive FCDB. Food Composition...

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Bibliographic Details
Published in:Journal of food composition and analysis 2016-03, Vol.46, p.96-102
Main Authors: Concina, Federica, Carletti, Claudia, Pani, Paola, Knowles, Alessandra, Barbone, Fabio, Parpinel, Maria
Format: Article
Language:English
Subjects:
Complementary feeding
Food analysis
Food composition
Food composition database
Food sources
Infants
Missing data
Prospective cohort study
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Summary:•Description of a FCDB to study complementary feeding in an Italian cohort of infants.•An assessment of missing food composition data was performed.•An analysis of macronutrient and energy food sources was conducted.•A strategy was proposed to create a complete and exhaustive FCDB. 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.
ISSN:0889-1575
1096-0481
DOI:10.1016/j.jfca.2015.11.008