International Agency for Research on Cancer, Nutrition and Metabolism Branch, 69372 Lyon Cedex 08, France; Department of Physiatry and Nursing, Faculty of Health Sciences, University of Zaragoza, Zaragoza, Spain; Instituto Agroalimentario de Aragón, Zaragoza, Spain; Instituto de Investigación Sanitaria Aragón, Zaragoza, Spain; Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, Zaragoza, Spain.
Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
Nutr Metab Cardiovasc Dis. 2022 Jan;32(1):80-89. doi: 10.1016/j.numecd.2021.09.012. Epub 2021 Sep 20.
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.
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.
本研究旨在通过使用美国营养数据库（USNDB）为欧洲前瞻性癌症与营养研究（EPIC）营养素数据库（ENDB）添加氨基酸（AA）值，对其进行扩展。此外，我们还旨在使用不同的匹配程序，评估这些来自 EPIC 饮食问卷（DQ）和 24 小时饮食回忆（24-HDR）的新的蛋白质和 AA 摄入量估计值。
通过 DQ 和 24-HDR 利用 USNDB 食物成分表进行匹配，评估膳食能量、蛋白质和 AA 的摄入量。使用 USNDB 匹配计算得出的能量和蛋白质摄入量与使用专门针对各国的食物成分表的 ENDB 计算得出的摄入量进行了比较。Pearson 相关系数、Cohen's 加权 kappa 统计量和 Bland-Altman 图用于比较 USNDB 匹配与我们使用 ENDB 匹配的参考值的数据。通过 USNDB 评估的每日能量（r=0.99）和膳食蛋白质摄入量（r=0.97）与通过 ENDB 获得的数据非常相关。在 EPIC 校准样本中，通过 24-HDR 获得的能量和蛋白质摄入量也存在显著的正相关关系。
通过 USDA 匹配获得的总能量和蛋白质摄入量与 ENDB 中可用数据之间非常高的相关性表明食物匹配的准确性。扩展后的 EPIC 营养素数据库中包含了个体 AA，这将允许在 EPIC 研究中对 AA 与疾病前瞻性关联进行重要分析。
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