Comparing Calculated Nutrient Intakes Using Different Food Composition Databases: Results from the European Prospective Investigation into Cancer and Nutrition (EPIC) Cohort.

Heleen Van Puyvelde, Aurora Perez-Cornago, Corinne Casagrande, Geneviève Nicolas, Vickà Versele, Guri Skeie, Matthias B Schulze, Ingegerd Johansson, José Maria Huerta, Andreina Oliverio, Fulvio Ricceri, Jytte Halkjaer, Pilar Amiano, Koen Van Herck, Elisabete Weiderpass, Marc J. Gunter, Inge Huybrechts

Research output: Contribution to journalArticle

Abstract

This study aimed to compare calculated nutrient intakes from two different food composition databases using data from the European prospective investigation into cancer and nutrition (EPIC) cohort. Dietary intake data of the EPIC cohort was recently matched to 150 food components from the U.S. nutrient database (USNDB). Twenty-eight of these nutrients were already included in the EPIC nutrient database (ENDB—based upon country specific food composition tables), and used for comparison. Paired sample t-tests, Pearson’s correlations (r), weighted kappa’s (κ) and Bland-Altman plots were used to compare the dietary intake of 28 nutrients estimated by the USNDB and the ENDB for 476,768 participants. Small but significant differences were shown between the USNDB and the ENDB for energy and macronutrient intakes. Moderate to very strong correlations (r = 0.60–1.00) were found for all macro- and micronutrients. A strong agreement (κ > 0.80) was found for energy, water, total fat, carbohydrates, sugar, alcohol, potassium and vitamin C, whereas a weak agreement (κ < 0.60) was found for starch, vitamin D and vitamin E. Dietary intakes estimated via the USNDB compare adequately with those obtained via the ENDB for most macro- and micronutrients, although the agreement was weak for starch, vitamin D and vitamin E. The USNDB will allow exposure assessments for 150 nutrients to investigate associations with disease outcomes within the EPIC cohort. View Full-Text
Original languageEnglish
Article number2906
Number of pages14
JournalNutrients
Volume12
Issue number10
DOIs
Publication statusPublished - 2020

Keywords

  • food composition database; nutrient database; EPIC; ENDB; USDA

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