Evaluation of protein and amino acid intake estimates from the EPIC dietary questionnaires and 24-h dietary recalls using different food composition databases
(2022) In Nutrition, Metabolism and Cardiovascular Diseases 32(1). p.80-89- 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,... (More)
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.
(Less)
- author
- organization
- publishing date
- 2022
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Nutrition, Metabolism and Cardiovascular Diseases
- volume
- 32
- issue
- 1
- pages
- 80 - 89
- publisher
- Elsevier
- external identifiers
-
- scopus:85117822541
- pmid:34696945
- ISSN
- 1590-3729
- DOI
- 10.1016/j.numecd.2021.09.012
- language
- English
- LU publication?
- yes
- additional info
- Copyright © 2021 The Author(s). Published by Elsevier B.V. All rights reserved.
- id
- 0162f71c-312e-42b5-b0e7-157ecca02466
- date added to LUP
- 2021-10-31 16:41:11
- date last changed
- 2025-05-05 00:58:53
@article{0162f71c-312e-42b5-b0e7-157ecca02466, abstract = {{<p>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.</p><p>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.</p><p>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.</p>}}, author = {{Iguacel, Isabel and Perez-Cornago, Aurora and Schmidt, Julie A and Van Puyvelde, Heleen and Travis, Ruth and Casagrande, Corinne and Nicolas, Genevieve and Riboli, Elio and Weiderpass, Elisabete and Ardanaz, Eva and Barricarte, Aurelio and Bodén, Stina and Bruno, Eleonora and Ching-López, Ana and Dagfinn, Aune and Jensen, Torill E and Ericson, Ulrika and Johansson, Ingergerd and Ma Huerta, José and Katzke, Verena and Kühn, Tilman and Sacerdote, Carlotta and Schulze, Matthias B and Skeie, Guri and Ramne, Stina and Ward, Heather and Gunter, Marc J and Huybrechts, Inge}}, issn = {{1590-3729}}, language = {{eng}}, number = {{1}}, pages = {{80--89}}, publisher = {{Elsevier}}, series = {{Nutrition, Metabolism and Cardiovascular Diseases}}, title = {{Evaluation of protein and amino acid intake estimates from the EPIC dietary questionnaires and 24-h dietary recalls using different food composition databases}}, url = {{http://dx.doi.org/10.1016/j.numecd.2021.09.012}}, doi = {{10.1016/j.numecd.2021.09.012}}, volume = {{32}}, year = {{2022}}, }