Menu

Javascript is not activated in your browser. This website needs javascript activated to work properly.

A new food-composition database for 437 polyphenols in 19,899 raw and prepared foods used to estimate polyphenol intakes in adults from 10 European countries

Author:
  • Viktoria Knaze
  • Joseph A. Rothwell
  • Raul Zamora-Ros
  • Aurelie Moskal
  • Cecilie Kyrø
  • Paula Jakszyn
  • Guri Skeie
  • Elisabete Weiderpass
  • Maria Santucci De Magistris
  • Claudia Agnoli
  • Susanne Westenbrink
  • Emily Sonestedt
  • Antonia Trichopoulou
  • Effie Vasilopoulou
  • Eleni Peppa
  • Eva Ardanaz
  • José María Huerta
  • Heiner Boeing
  • Francesca Romana Mancini
  • Augustin Scalbert
  • Nadia Slimani
Publishing year: 2018
Language: English
Pages: 517-524
Publication/Series: American Journal of Clinical Nutrition
Volume: 108
Issue: 3
Document type: Journal article
Publisher: American Society for Clinical Nutrition

Abstract english

Background: Accurate assessment of polyphenol intakes is needed in epidemiologic research in order to study their health effects, and this can be particularly challenging in international study settings. Objective: The purpose of this work is to describe the procedures to prepare a comprehensive polyphenol food-composition database that was used to calculate standardized polyphenol intakes from 24-h diet recalls (24HDRs) and dietary questionnaires (DQs) in the European Prospective Investigation into Cancer and Nutrition (EPIC). Design: With the use of the comparable food classification and facetdescriptor system of the computerized 24HDR program EPIC-Soft (renamed GloboDiet), foods reported in the 24HDR (n = 74,626) were first aggregated following a stepwise process. Multi-ingredient and generic foods were broken down into ingredients or morespecific foods with consideration of regional consumption habits before matching to foods in the Phenol-Explorer database. Foodcomposition data were adjusted by using selected retention factors curated in Phenol-Explorer. DQ foods (n = 13,946) were matched to a generated EPIC 24HDR polyphenol-composition database before calculation of daily intakes from the 24HDR and DQ. Results: Food matching yielded 2.0% and 2.7% of foods with missing polyphenol content in the 24HDR and DQ food data sets, respectively. Process-specific retention factors for 42 different polyphenol compounds were applied to adjust the polyphenol content in 35 prioritized Phenol-Explorer foods, thereby adjusting the polyphenol content in 70% of all of the prepared 24 food occurrences. A detailed food-composition database was finally generated for 437 polyphenols in 19,899 aggregated raw and prepared foods reported by 10 EPIC countries in the 24HDR. Conclusions: An efficient procedure was developed to build the most-comprehensive food-composition database for polyphenols, thereby standardizing the calculations of dietary polyphenol intakes obtained from different dietary assessment methods and European populations. The whole database is accessible online. This procedure could equally be used for other food constituents and in other cohorts.

Keywords

  • Nutrition and Dietetics
  • EPIC
  • Food composition
  • Phenol-Explorer database
  • Polyphenol intake
  • Retention factors

Other

Published
  • Nutrition Epidemiology
  • ISSN: 0002-9165
Emily Sonestedt
E-mail: emily [dot] sonestedt [at] med [dot] lu [dot] se

Associate senior lecturer

Nutrition Epidemiology

+46 40 39 13 25

+46 73 700 71 45

60-13-34

Jan Waldenströms gata 35, CRC 60:13, Malmö

36

Crafoords vetenskapslunch

Kan våra gener göra oss tjocka?

Tyngre träningssnack

CV

Lund University Diabetes Centre, CRC, SUS Malmö, Jan Waldenströms gata 35, House 91:12. SE-214 28 Malmö. Telephone: +46 40 39 10 00