Evaluation of protein and amino acid intake estimates from the EPIC dietary questionnaires and 24-h dietary recalls using different food composition databases

Research output: Contribution to journalJournal articleResearchpeer-review

  • Isabel Iguacel
  • Aurora Perez-Cornago
  • Julie A. Schmidt
  • Heleen Van Puyvelde
  • Ruth Travis
  • Corinne Casagrande
  • Genevieve Nicolas
  • Elio Riboli
  • Elisabete Weiderpass
  • Eva Ardanaz
  • Aurelio Barricarte
  • Stina Bodén
  • Eleonora Bruno
  • Ana Ching-López
  • Dagfinn Aune
  • Torill E. Jensen
  • Ulrika Ericson
  • Ingergerd Johansson
  • José Ma Huerta
  • Verena Katzke
  • Tilman Kühn
  • Carlotta Sacerdote
  • Matthias B. Schulze
  • Guri Skeie
  • Heather Ward
  • Marc J. Gunter
  • Inge Huybrechts

Background and aims: This study aimed to expand the European Prospective Investigation into Cancer and Nutrition (EPIC) nutrient database (ENDB) by adding amino acid (AA) values, using the U.S. nutrient database (USNDB). Additionally, we aimed to evaluate these new protein and AA intake estimates from the EPIC dietary questionnaires (DQ) and 24-h dietary recalls (24-HDR) using different matching procedures. Methods and results: Dietary energy, protein and AA intakes were assessed via DQ and 24-HDR by matching with the USNDB food composition table. Energy and protein intakes calculated using USNDB matching were compared with those calculated using ENDB, that uses country specific food composition tables. Pearson correlations, Cohen's weighted kappa statistic and Bland–Altman plots were used to compare data resulting from USNDB matching with our reference from ENDB matching. Very high correlations were found when comparing daily energy (r = 0.99) and dietary protein intakes (r = 0.97) assessed via USNDB with those obtained via ENDB (matching for DQ and 24-HDR). Significant positive correlations were also found with energy and protein intakes acquired via 24-HDRs in the EPIC calibration sample. Conclusion: Very high correlations between total energy and protein intake obtained via the USDA matching and those available in ENDB suggest accuracy in the food matching. Individual AA have been included in the extended EPIC Nutrient database that will allow important analyses on AA disease prospective associations in the EPIC study.

Original languageEnglish
JournalNutrition, Metabolism and Cardiovascular Diseases
Issue number1
Pages (from-to)80-89
Number of pages10
Publication statusPublished - Jan 2022
Externally publishedYes

Bibliographical note

Funding Information:
The national cohorts are supported by: Danish Cancer Society (Denmark); Ligue Contre le Cancer, Institut Gustave Roussy, Mutuelle Générale de l'Education Nationale, Institut National de la Santé et de la Recherche Médicale (INSERM) (France); German Cancer Aid, German Cancer Research Center (DKFZ), German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Federal Ministry of Education and Research (BMBF) (Germany); Associazione Italiana per la Ricerca sul Cancro-AIRC-Italy, Compagnia di SanPaolo and National Research Council (Italy); Dutch Ministry of Public Health, Welfare and Sports (VWS), Netherlands Cancer Registry (NKR), LK Research Funds, Dutch Prevention Funds, Dutch ZON (Zorg Onderzoek Nederland), World Cancer Research Fund (WCRF), Statistics Netherlands (The Netherlands); Health Research Fund (FIS) – Instituto de Salud Carlos III (ISCIII), Regional Governments of Andalucía, Asturias, Basque Country, Murcia and Navarra, and the Catalan Institute of Oncology - ICO (Spain); Swedish Cancer Society, Swedish Research Council and County Councils of Skåne and Västerbotten (Sweden); Cancer Research UK (14136 to EPIC-Norfolk; C8221/A29017 to EPIC-Oxford), Medical Research Council (1000143 to EPIC-Norfolk; MR/M012190/1 to EPIC-Oxford) (United Kingdom).

Funding Information:
The coordination of EPIC is financially supported by International Agency for Research on Cancer (IARC) and also by the Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London which has additional infrastructure support provided by the NIHR Imperial Biomedical Research Centre (BRC) .

Publisher Copyright:
© 2021 The Author(s)

    Research areas

  • 24-h dietary recall, Amino acid intakes, Dietary questionnaire, Food composition tables, Validity

ID: 288801931