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

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

doi:10.1016/j.numecd.2021.09.012

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

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

Research output: Contribution to journal › Article › peer-review

18 Citations (Scopus)

84 Downloads (Pure)

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.

Original language	English
Pages (from-to)	80-89
Journal	Nutrition, Metabolism, and Cardiovascular Diseases
Volume	32
Issue number	1
Early online date	24 Dec 2021
DOIs	https://doi.org/10.1016/j.numecd.2021.09.012
Publication status	Published - Jan 2022
Externally published	Yes

Bibliographical note

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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10.1016/j.numecd.2021.09.012Licence: CC BY-NC-ND

Evaluation of protein and amino acid intake estimates from the EPIC dietary questionnaires and 24-h dietary recalls using different food composition databases
Copyright 2021 the authors. This is an open access article published under a Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits distribution and reproduction for non-commercial purposes, provided the author and source are cited.
Final published version, 840 KBLicence: CC BY-NC-ND

Cite this

Iguacel, I., Perez-Cornago, A., Schmidt, J. A., Van Puyvelde, H., Travis, R., Casagrande, C., Nicolas, G., Riboli, E., Weiderpass, E., Ardanaz, E., Barricarte, A., Bodén, S., Bruno, E., Ching-López, A., Dagfinn, A., Jensen, T. E., Ericson, U., Johansson, I., Ma Huerta, J., ... Huybrechts, I. (2022). Evaluation of protein and amino acid intake estimates from the EPIC dietary questionnaires and 24-h dietary recalls using different food composition databases. Nutrition, Metabolism, and Cardiovascular Diseases, 32(1), 80-89. https://doi.org/10.1016/j.numecd.2021.09.012

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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.",

author = "Isabel Iguacel and Aurora Perez-Cornago and Schmidt, \{Julie A\} and \{Van Puyvelde\}, Heleen and Ruth Travis and Corinne Casagrande and Genevieve Nicolas and Elio Riboli and Elisabete Weiderpass and Eva Ardanaz and Aurelio Barricarte and Stina Bod{\'e}n and Eleonora Bruno and Ana Ching-L{\'o}pez and Aune Dagfinn and Jensen, \{Torill E\} and Ulrika Ericson and Ingergerd Johansson and \{Ma Huerta\}, Jos{\'e} and Verena Katzke and Tilman K{\"u}hn and Carlotta Sacerdote and Schulze, \{Matthias B\} and Guri Skeie and Stina Ramne and Heather Ward and Gunter, \{Marc J\} and Inge Huybrechts",

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Iguacel, I, Perez-Cornago, A, Schmidt, JA, Van Puyvelde, H, Travis, R, Casagrande, C, Nicolas, G, Riboli, E, Weiderpass, E, Ardanaz, E, Barricarte, A, Bodén, S, Bruno, E, Ching-López, A, Dagfinn, A, Jensen, TE, Ericson, U, Johansson, I, Ma Huerta, J, Katzke, V, Kühn, T, Sacerdote, C, Schulze, MB, Skeie, G, Ramne, S, Ward, H, Gunter, MJ & Huybrechts, I 2022, 'Evaluation of protein and amino acid intake estimates from the EPIC dietary questionnaires and 24-h dietary recalls using different food composition databases', Nutrition, Metabolism, and Cardiovascular Diseases, vol. 32, no. 1, pp. 80-89. https://doi.org/10.1016/j.numecd.2021.09.012

Evaluation of protein and amino acid intake estimates from the EPIC dietary questionnaires and 24-h dietary recalls using different food composition databases. / Iguacel, Isabel; Perez-Cornago, Aurora; Schmidt, Julie A et al.
In: Nutrition, Metabolism, and Cardiovascular Diseases, Vol. 32, No. 1, 01.2022, p. 80-89.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - Evaluation of protein and amino acid intake estimates from the EPIC dietary questionnaires and 24-h dietary recalls using different food composition databases

AU - Iguacel, Isabel

AU - Perez-Cornago, Aurora

AU - Schmidt, Julie A

AU - Van Puyvelde, Heleen

AU - Travis, Ruth

AU - Casagrande, Corinne

AU - Nicolas, Genevieve

AU - Riboli, Elio

AU - Weiderpass, Elisabete

AU - Ardanaz, Eva

AU - Barricarte, Aurelio

AU - Bodén, Stina

AU - Bruno, Eleonora

AU - Ching-López, Ana

AU - Dagfinn, Aune

AU - Jensen, Torill E

AU - Ericson, Ulrika

AU - Johansson, Ingergerd

AU - Ma Huerta, José

AU - Katzke, Verena

AU - Kühn, Tilman

AU - Sacerdote, Carlotta

AU - Schulze, Matthias B

AU - Skeie, Guri

AU - Ramne, Stina

AU - Ward, Heather

AU - Gunter, Marc J

AU - Huybrechts, Inge

PY - 2022/1

Y1 - 2022/1

N2 - 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.

AB - 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.

U2 - 10.1016/j.numecd.2021.09.012

DO - 10.1016/j.numecd.2021.09.012

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Iguacel I, Perez-Cornago A, Schmidt JA, Van Puyvelde H, Travis R, Casagrande C et al. Evaluation of protein and amino acid intake estimates from the EPIC dietary questionnaires and 24-h dietary recalls using different food composition databases. Nutrition, Metabolism, and Cardiovascular Diseases. 2022 Jan;32(1):80-89. Epub 2021 Dec 24. doi: 10.1016/j.numecd.2021.09.012