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

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

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.; Van Puyvelde, Heleen; Travis, Ruth; Casagrande, Corinne; Nicolas, Genevieve; Riboli, Elio; Weiderpass, Elisabete; Ardanaz, Eva; Barricarte, Aurelio; Bodén, Stina; Bruno, Eleonora; Ching-López, Ana; Aune, Dagfinn; Jensen, Torill E.; Ericson, Ulrika; Johansson, Ingergerd; Ma Huerta, José; Katzke, Verena; Kühn, Tilman; Sacerdote, Carlotta; Schulze, Matthias B.; Skeie, Guri; Ramne, Stina; Ward, Heather; Gunter, Marc J.; Huybrechts, Inge.

In: Nutrition, Metabolism and Cardiovascular Diseases, Vol. 32, 2022, p. 80-89.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

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, Aune, D, 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, pp. 80-89. https://doi.org/10.1016/j.numecd.2021.09.012

APA

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., Aune, D., 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, 80-89. https://doi.org/10.1016/j.numecd.2021.09.012

Vancouver

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;32:80-89. https://doi.org/10.1016/j.numecd.2021.09.012

Author

Iguacel, Isabel ; Perez-Cornago, Aurora ; Schmidt, Julie A. ; Van Puyvelde, Heleen ; Travis, Ruth ; Casagrande, Corinne ; Nicolas, Genevieve ; Riboli, Elio ; Weiderpass, Elisabete ; Ardanaz, Eva ; Barricarte, Aurelio ; Bodén, Stina ; Bruno, Eleonora ; Ching-López, Ana ; Aune, Dagfinn ; Jensen, Torill E. ; Ericson, Ulrika ; Johansson, Ingergerd ; Ma Huerta, José ; Katzke, Verena ; Kühn, Tilman ; Sacerdote, Carlotta ; Schulze, Matthias B. ; Skeie, Guri ; Ramne, Stina ; Ward, Heather ; Gunter, Marc J. ; Huybrechts, Inge. / Evaluation of protein and amino acid intake estimates from the EPIC dietary questionnaires and 24-h dietary recalls using different food composition databases. In: Nutrition, Metabolism and Cardiovascular Diseases. 2022 ; Vol. 32. pp. 80-89.

Bibtex

@article{a4ef68a7a4cc4fb989c3761011d7c020,
title = "Evaluation of protein and amino acid intake estimates from the EPIC dietary questionnaires and 24-h dietary recalls using different food composition databases",
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.",
keywords = "24-h dietary recall, Amino acid intakes, Dietary questionnaire, Food composition tables, Validity",
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 Dagfinn Aune 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",
note = "Funding Information: The national cohorts are supported by: Danish Cancer Society (Denmark); Ligue Contre le Cancer, Institut Gustave Roussy, Mutuelle G{\'e}n{\'e}rale de l'Education Nationale, Institut National de la Sant{\'e} et de la Recherche M{\'e}dicale (INSERM) (France); German Cancer Aid, German Cancer Research Center (DKFZ), German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Federal Ministry of Education and Research (BMBF) (Germany); Associazione Italiana per la Ricerca sul Cancro-AIRC-Italy, Compagnia di SanPaolo and National Research Council (Italy); Dutch Ministry of Public Health, Welfare and Sports (VWS), Netherlands Cancer Registry (NKR), LK Research Funds, Dutch Prevention Funds, Dutch ZON (Zorg Onderzoek Nederland), World Cancer Research Fund (WCRF), Statistics Netherlands (The Netherlands); Health Research Fund (FIS) – Instituto de Salud Carlos III (ISCIII), Regional Governments of Andaluc{\'i}a, Asturias, Basque Country, Murcia and Navarra, and the Catalan Institute of Oncology - ICO (Spain); Swedish Cancer Society, Swedish Research Council and County Councils of Sk{\aa}ne and V{\"a}sterbotten (Sweden); Cancer Research UK (14136 to EPIC-Norfolk; C8221/A29017 to EPIC-Oxford), Medical Research Council (1000143 to EPIC-Norfolk; MR/M012190/1 to EPIC-Oxford) (United Kingdom). Funding Information: The coordination of EPIC is financially supported by International Agency for Research on Cancer (IARC) and also by the Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London which has additional infrastructure support provided by the NIHR Imperial Biomedical Research Centre (BRC) . Publisher Copyright: {\textcopyright} 2021 The Author(s)",
year = "2022",
doi = "10.1016/j.numecd.2021.09.012",
language = "English",
volume = "32",
pages = "80--89",
journal = "Nutrition, Metabolism & Cardiovascular Diseases",
issn = "0939-4753",
publisher = "Elsevier",

}

RIS

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 - Aune, Dagfinn

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

N1 - Funding Information: The national cohorts are supported by: Danish Cancer Society (Denmark); Ligue Contre le Cancer, Institut Gustave Roussy, Mutuelle Générale de l'Education Nationale, Institut National de la Santé et de la Recherche Médicale (INSERM) (France); German Cancer Aid, German Cancer Research Center (DKFZ), German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Federal Ministry of Education and Research (BMBF) (Germany); Associazione Italiana per la Ricerca sul Cancro-AIRC-Italy, Compagnia di SanPaolo and National Research Council (Italy); Dutch Ministry of Public Health, Welfare and Sports (VWS), Netherlands Cancer Registry (NKR), LK Research Funds, Dutch Prevention Funds, Dutch ZON (Zorg Onderzoek Nederland), World Cancer Research Fund (WCRF), Statistics Netherlands (The Netherlands); Health Research Fund (FIS) – Instituto de Salud Carlos III (ISCIII), Regional Governments of Andalucía, Asturias, Basque Country, Murcia and Navarra, and the Catalan Institute of Oncology - ICO (Spain); Swedish Cancer Society, Swedish Research Council and County Councils of Skåne and Västerbotten (Sweden); Cancer Research UK (14136 to EPIC-Norfolk; C8221/A29017 to EPIC-Oxford), Medical Research Council (1000143 to EPIC-Norfolk; MR/M012190/1 to EPIC-Oxford) (United Kingdom). Funding Information: The coordination of EPIC is financially supported by International Agency for Research on Cancer (IARC) and also by the Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London which has additional infrastructure support provided by the NIHR Imperial Biomedical Research Centre (BRC) . Publisher Copyright: © 2021 The Author(s)

PY - 2022

Y1 - 2022

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.

KW - 24-h dietary recall

KW - Amino acid intakes

KW - Dietary questionnaire

KW - Food composition tables

KW - Validity

U2 - 10.1016/j.numecd.2021.09.012

DO - 10.1016/j.numecd.2021.09.012

M3 - Journal article

C2 - 34696945

AN - SCOPUS:85117822541

VL - 32

SP - 80

EP - 89

JO - Nutrition, Metabolism & Cardiovascular Diseases

JF - Nutrition, Metabolism & Cardiovascular Diseases

SN - 0939-4753

ER -

ID: 288801931