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ludc web

Stina Ramne

Doctoral student

ludc web

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

Author

  • 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
  • Aune Dagfinn
  • Torill E Jensen
  • Ulrika Ericson
  • Ingergerd Johansson
  • José Ma Huerta
  • Verena Katzke
  • Tilman Kühn
  • Carlotta Sacerdote
  • Matthias B Schulze
  • Guri Skeie
  • Stina Ramne
  • Heather Ward
  • Marc J Gunter
  • Inge Huybrechts

Summary, in English

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.

Department/s

  • EpiHealth: Epidemiology for Health
  • Diabetes - Cardiovascular Disease
  • EXODIAB: Excellence of Diabetes Research in Sweden
  • Nutrition Epidemiology

Publishing year

2022

Language

English

Pages

80-89

Publication/Series

Nutrition, Metabolism and Cardiovascular Diseases

Volume

32

Issue

1

Document type

Journal article

Publisher

Elsevier

Topic

  • Nutrition and Dietetics

Status

Published

Research group

  • Diabetes - Cardiovascular Disease
  • Nutrition Epidemiology

ISBN/ISSN/Other

  • ISSN: 1590-3729