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

Autor: Stina Ramne, Heather Ward, Matthias B. Schulze, Guri Skeie, Julie A. Schmidt, Elio Riboli, Elisabete Weiderpass, Corinne Casagrande, Ingergerd Johansson, José Mª Huerta, Tilman Kühn, Aurelio Barricarte, Geneviève Nicolas, Ana Ching-López, Torill Enget Jensen, Inge Huybrechts, Heleen Van Puyvelde, Aurora Perez-Cornago, Eleonora Bruno, Verena Katzke, Stina Bodén, Ruth C. Travis, Isabel Iguacel, Eva Ardanaz, Carlotta Sacerdote, Ulrika Ericson, Marc J. Gunter, Aune Dagfinn
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Agriculture and Food Sciences
Matching (statistics)
Cardiac & Cardiovascular Systems
24-h dietary recall
Endocrinology
Diabetes and Metabolism
Nutritional Status
Medicine (miscellaneous)
RATIONALE
EPIC
VALIDATION
Validity
Food composition database
Endocrinology & Metabolism
Cohen's kappa
Endocrinology
Neoplasms
Surveys and Questionnaires
Food composition tables
Medicine and Health Sciences
Humans
Amino acid intake
Food science
Amino Acids
Amino acid intakes
11 Medical and Health Sciences
Mathematics
tables
CALIBRATION
Science & Technology
Nutrition and Dietetics
Nutrition & Dietetics
Reproducibility of Results
Food composition data
CANCER
European Prospective Investigation into Cancer and Nutrition
Diet
Diabetes and Metabolism
Näringslära
Dietary questionnaire
Cardiovascular System & Hematology
AGREEMENT
Cardiovascular System & Cardiology
Nutrient database
Food composition
Energy Intake
Cardiology and Cardiovascular Medicine
Life Sciences & Biomedicine
Zdroj: NUTRITION METABOLISM AND CARDIOVASCULAR DISEASES
ISSN: 0939-4753
1590-3729
Popis: 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 2 4h 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. 2021 The Author(s). Published by Elsevier B.V. on behalf of The Italian Diabetes Society, the Italian Society for the Study of Atherosclerosis, the Italian Society of Human Nutrition and the Department of Clinical Medicine and Surgery, Federico II University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Databáze: OpenAIRE
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