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  5. Evaluation of protein and amino acid intake estimates from the EPIC dietary questionnaires and 24-h dietary recalls using different food composition databases
 
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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
File(s)
Iguacel I - Evaluation of protein and amino acid intake estimates from the EPIC dietary questionnaires and 24-h dietary recalls using different food composition databases.pdf (822.73 KB)
Published version
Author(s)
Iguacel, Isabel
Perez-Cornago, Aurora
Schmidt, Julie A
Van Puyvelde, Heleen
Travis, Ruth
more
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.
Date Issued
2021-12-24
Date Acceptance
2021-09-09
Citation
Nutrition Metabolism and Cardiovascular Diseases, 2021, 32 (1), pp.80-89
URI
http://hdl.handle.net/10044/1/97186
URL
https://www.nmcd-journal.com/article/S0939-4753(21)00452-X/fulltext
DOI
https://www.dx.doi.org/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.
License URL
http://creativecommons.org/licenses/by-nc-nd/4.0/
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000736981100008&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
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
Publication Status
Published
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