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000177215 0247_ $$2doi$$a10.1016/j.numecd.2021.09.012
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000177215 0247_ $$2ISSN$$a1590-3729
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000177215 037__ $$aDKFZ-2021-02349
000177215 041__ $$aEnglish
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000177215 1001_ $$aIguacel, Isabel$$b0
000177215 245__ $$aEvaluation of protein and amino acid intake estimates from the EPIC dietary questionnaires and 24-h dietary recalls using different food composition databases.
000177215 260__ $$aNew York, NY [u.a.]$$bElsevier$$c2022
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000177215 500__ $$a2022 Jan;32(1):80-89
000177215 520__ $$aThis 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.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.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.
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000177215 650_7 $$2Other$$a24-h dietary recall
000177215 650_7 $$2Other$$aAmino acid intakes
000177215 650_7 $$2Other$$aDietary questionnaire
000177215 650_7 $$2Other$$aFood composition tables
000177215 650_7 $$2Other$$aValidity
000177215 7001_ $$aPerez-Cornago, Aurora$$b1
000177215 7001_ $$aSchmidt, Julie A$$b2
000177215 7001_ $$aVan Puyvelde, Heleen$$b3
000177215 7001_ $$aTravis, Ruth$$b4
000177215 7001_ $$aCasagrande, Corinne$$b5
000177215 7001_ $$aNicolas, Genevieve$$b6
000177215 7001_ $$aRiboli, Elio$$b7
000177215 7001_ $$aWeiderpass, Elisabete$$b8
000177215 7001_ $$aArdanaz, Eva$$b9
000177215 7001_ $$aBarricarte, Aurelio$$b10
000177215 7001_ $$aBodén, Stina$$b11
000177215 7001_ $$aBruno, Eleonora$$b12
000177215 7001_ $$aChing-López, Ana$$b13
000177215 7001_ $$aDagfinn, Aune$$b14
000177215 7001_ $$aJensen, Torill E$$b15
000177215 7001_ $$aEricson, Ulrika$$b16
000177215 7001_ $$aJohansson, Ingergerd$$b17
000177215 7001_ $$aMa Huerta, José$$b18
000177215 7001_ $$0P:(DE-He78)fb68a9386399d72d84f7f34cfc6048b4$$aKatzke, Verena$$b19$$udkfz
000177215 7001_ $$0P:(DE-He78)0907a10ba1dc8f53f04907f54f6fdcfe$$aKühn, Tilman$$b20
000177215 7001_ $$aSacerdote, Carlotta$$b21
000177215 7001_ $$aSchulze, Matthias B$$b22
000177215 7001_ $$aSkeie, Guri$$b23
000177215 7001_ $$aRamne, Stina$$b24
000177215 7001_ $$aWard, Heather$$b25
000177215 7001_ $$aGunter, Marc J$$b26
000177215 7001_ $$aHuybrechts, Inge$$b27
000177215 773__ $$0PERI:(DE-600)2050914-5$$a10.1016/j.numecd.2021.09.012$$gp. S093947532100452X$$n1$$p80-89$$tNutrition, metabolism and cardiovascular diseases$$v32$$x0939-4753$$y2022
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