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 (Universidad de Zaragoza) ; 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
Resumen: 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.
Idioma: Inglés
DOI: 10.1016/j.numecd.2021.09.012
Año: 2022
Publicado en: Nutrition, Metabolism and Cardiovascular Diseases 32, 1 (2022), 80-89
ISSN: 0939-4753
Factor impacto JCR: 3.9 (2022)
Categ. JCR: CARDIAC & CARDIOVASCULAR SYSTEMS rank: 54 / 143 = 0.378 (2022) - Q2 - T2
Categ. JCR: NUTRITION & DIETETICS rank: 42 / 87 = 0.483 (2022) - Q2 - T2
Categ. JCR: ENDOCRINOLOGY & METABOLISM rank: 64 / 144 = 0.444 (2022) - Q2 - T2
Factor impacto CITESCORE: 5.9 - Nursing (Q1) - Medicine (Q1)
Factor impacto SCIMAGO: 0.997 - Cardiology and Cardiovascular Medicine (Q1) - Nutrition and Dietetics (Q1) - Medicine (miscellaneous) (Q1) - Endocrinology, Diabetes and Metabolism (Q2)
Tipo y forma: Artículo (Versión definitiva)
Área (Departamento): Área Enfermería (Dpto. Fisiatría y Enfermería)
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Exportado de SIDERAL (2024-03-18-16:24:44)
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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.
Idioma: Inglés
DOI: 10.1016/j.numecd.2021.09.012
Año: 2022
Publicado en: Nutrition, Metabolism and Cardiovascular Diseases 32, 1 (2022), 80-89
ISSN: 0939-4753
Factor impacto JCR: 3.9 (2022)
Categ. JCR: CARDIAC & CARDIOVASCULAR SYSTEMS rank: 54 / 143 = 0.378 (2022) - Q2 - T2
Categ. JCR: NUTRITION & DIETETICS rank: 42 / 87 = 0.483 (2022) - Q2 - T2
Categ. JCR: ENDOCRINOLOGY & METABOLISM rank: 64 / 144 = 0.444 (2022) - Q2 - T2
Factor impacto CITESCORE: 5.9 - Nursing (Q1) - Medicine (Q1)
Factor impacto SCIMAGO: 0.997 - Cardiology and Cardiovascular Medicine (Q1) - Nutrition and Dietetics (Q1) - Medicine (miscellaneous) (Q1) - Endocrinology, Diabetes and Metabolism (Q2)
Tipo y forma: Artículo (Versión definitiva)
Área (Departamento): Área Enfermería (Dpto. Fisiatría y Enfermería)
Debe reconocer adecuadamente la autoría, proporcionar un enlace a la licencia e indicar si se han realizado cambios. Puede hacerlo de cualquier manera razonable, pero no de una manera que sugiera que tiene el apoyo del licenciador o lo recibe por el uso que hace. No puede utilizar el material para una finalidad comercial. Si remezcla, transforma o crea a partir del material, no puede difundir el material modificado.Exportado de SIDERAL (2024-03-18-16:24:44)
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Registro creado el 2022-12-22, última modificación el 2024-03-19