| Página principal > Artículos > Evaluation of protein and amino acid intake estimates from the EPIC dietary questionnaires and 24-h dietary recalls using different food composition databases > MARC |
000121054 001__ 121054 000121054 005__ 20240319081023.0 000121054 0247_ $$2doi$$a10.1016/j.numecd.2021.09.012 000121054 0248_ $$2sideral$$a131511 000121054 037__ $$aART-2022-131511 000121054 041__ $$aeng 000121054 100__ $$0(orcid)0000-0003-4242-5464$$aIguacel, Isabel$$uUniversidad de Zaragoza 000121054 245__ $$aEvaluation of protein and amino acid intake estimates from the EPIC dietary questionnaires and 24-h dietary recalls using different food composition databases 000121054 260__ $$c2022 000121054 5060_ $$aAccess copy available to the general public$$fUnrestricted 000121054 5203_ $$aBackground 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. 000121054 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/ 000121054 590__ $$a3.9$$b2022 000121054 592__ $$a0.997$$b2022 000121054 591__ $$aCARDIAC & CARDIOVASCULAR SYSTEMS$$b54 / 143 = 0.378$$c2022$$dQ2$$eT2 000121054 593__ $$aCardiology and Cardiovascular Medicine$$c2022$$dQ1 000121054 591__ $$aNUTRITION & DIETETICS$$b42 / 87 = 0.483$$c2022$$dQ2$$eT2 000121054 593__ $$aNutrition and Dietetics$$c2022$$dQ1 000121054 591__ $$aENDOCRINOLOGY & METABOLISM$$b64 / 144 = 0.444$$c2022$$dQ2$$eT2 000121054 593__ $$aMedicine (miscellaneous)$$c2022$$dQ1 000121054 593__ $$aEndocrinology, Diabetes and Metabolism$$c2022$$dQ2 000121054 594__ $$a5.9$$b2022 000121054 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion 000121054 700__ $$aPerez-Cornago, Aurora 000121054 700__ $$aSchmidt, Julie A. 000121054 700__ $$aVan Puyvelde, Heleen 000121054 700__ $$aTravis, Ruth 000121054 700__ $$aCasagrande, Corinne 000121054 700__ $$aNicolas, Genevieve 000121054 700__ $$aRiboli, Elio 000121054 700__ $$aWeiderpass, Elisabete 000121054 700__ $$aArdanaz, Eva 000121054 700__ $$aBarricarte, Aurelio 000121054 700__ $$aBodén, Stina 000121054 700__ $$aBruno, Eleonora 000121054 700__ $$aChing-López, Ana 000121054 700__ $$aAune, Dagfinn 000121054 700__ $$aJensen, Torill E. 000121054 700__ $$aEricson, Ulrika 000121054 700__ $$aJohansson, Ingergerd 000121054 700__ $$aMa Huerta, José 000121054 700__ $$aKatzke, Verena 000121054 700__ $$aKühn, Tilman 000121054 700__ $$aSacerdote, Carlotta 000121054 700__ $$aSchulze, Matthias B. 000121054 700__ $$aSkeie, Guri 000121054 700__ $$aRamne, Stina 000121054 700__ $$aWard, Heather 000121054 700__ $$aGunter, Marc J. 000121054 700__ $$aHuybrechts, Inge 000121054 7102_ $$11006$$2255$$aUniversidad de Zaragoza$$bDpto. Fisiatría y Enfermería$$cÁrea Enfermería 000121054 773__ $$g32, 1 (2022), 80-89$$pNMCD, Nutr. Metab. Cardiovasc. Dis.$$tNutrition, Metabolism and Cardiovascular Diseases$$x0939-4753 000121054 8564_ $$s859955$$uhttps://zaguan.unizar.es/record/121054/files/texto_completo.pdf$$yVersión publicada 000121054 8564_ $$s2597030$$uhttps://zaguan.unizar.es/record/121054/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000121054 909CO $$ooai:zaguan.unizar.es:121054$$particulos$$pdriver 000121054 951__ $$a2024-03-18-16:24:44 000121054 980__ $$aARTICLE
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