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 KatzkeTilman Kühn, Carlotta Sacerdote, Matthias B Schulze, Guri Skeie, Stina Ramne, Heather Ward, Marc J Gunter, Inge Huybrechts

Forskningsoutput: Tidskriftsbidrag › Artikel i vetenskaplig tidskrift › Peer review

Sammanfattning

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.

Originalspråk	engelska
Sidor (från-till)	80-89
Tidskrift	Nutrition, Metabolism and Cardiovascular Diseases
Volym	32
Nummer	1
Tidigt onlinedatum	2021
DOI	https://doi.org/10.1016/j.numecd.2021.09.012
Status	Published - 2022

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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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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.",

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",

year = "2022",

doi = "10.1016/j.numecd.2021.09.012",

language = "English",

volume = "32",

pages = "80--89",

journal = "Nutrition, Metabolism and Cardiovascular Diseases",

issn = "1590-3729",

publisher = "Elsevier",

number = "1",

}

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, nr. 1, s. 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.
I: Nutrition, Metabolism and Cardiovascular Diseases, Vol. 32, Nr. 1, 2022, s. 80-89.

Forskningsoutput: Tidskriftsbidrag › Artikel i vetenskaplig tidskrift › 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

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.

U2 - 10.1016/j.numecd.2021.09.012

DO - 10.1016/j.numecd.2021.09.012

M3 - Article

C2 - 34696945

SN - 1590-3729

VL - 32

SP - 80

EP - 89

JO - Nutrition, Metabolism and Cardiovascular Diseases

JF - Nutrition, Metabolism and Cardiovascular Diseases

IS - 1

ER -