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

Title: Evaluation of protein and amino acid intake estimates from the EPIC dietary questionnaires and 24-h dietary recalls using different food composition databases
Authors: Iguacel, I
Perez-Cornago, A
Schmidt, JA
Van Puyvelde, H
Travis, R
Casagrande, C
Nicolas, G
Riboli, E
Weiderpass, E
Ardanaz, E
Barricarte, A
Boden, S
Bruno, E
Ching-Lopez, A
Aune, D
Jensen, TE
Ericson, U
Johansson, I
Huerta, JM
Katzke, V
Kuehn, T
Sacerdote, C
Schulze, MB
Skeie, G
Ramne, S
Ward, H
Gunter, MJ
Huybrechts, I
Item Type: Journal Article
Abstract: 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.
Issue Date: 24-Dec-2021
Date of Acceptance: 9-Sep-2021
URI: http://hdl.handle.net/10044/1/97186
DOI: 10.1016/j.numecd.2021.09.012
ISSN: 0939-4753
Publisher: Elsevier
Start Page: 80
End Page: 89
Journal / Book Title: Nutrition Metabolism and Cardiovascular Diseases
Volume: 32
Issue: 1
Copyright Statement: © 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.
Keywords: Science & Technology
Life Sciences & Biomedicine
Cardiac & Cardiovascular Systems
Endocrinology & Metabolism
Nutrition & Dietetics
Cardiovascular System & Cardiology
Amino acid intakes
Dietary questionnaire
Food composition
tables
24-h dietary recall
Validity
CANCER
CALIBRATION
VALIDATION
RATIONALE
AGREEMENT
24-h dietary recall
Amino acid intakes
Dietary questionnaire
Food composition tables
Validity
Amino Acids
Diet
Energy Intake
Humans
Neoplasms
Nutritional Status
Reproducibility of Results
Surveys and Questionnaires
Humans
Neoplasms
Amino Acids
Diet
Reproducibility of Results
Energy Intake
Nutritional Status
Surveys and Questionnaires
Science & Technology
Life Sciences & Biomedicine
Cardiac & Cardiovascular Systems
Endocrinology & Metabolism
Nutrition & Dietetics
Cardiovascular System & Cardiology
Amino acid intakes
Dietary questionnaire
Food composition
tables
24-h dietary recall
Validity
CANCER
CALIBRATION
VALIDATION
RATIONALE
AGREEMENT
11 Medical and Health Sciences
Cardiovascular System & Hematology
Publication Status: Published
Appears in Collections:School of Public Health



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