Department of Public Health and Primary Care, Faculty of Medicine and Health Sciences, Ghent University, C. Heymanslaan 10, 9000 Ghent, Belgium.
Nutrition and Metabolism Section, International Agency for Research on Cancer, 150 cours Albert Thomas, CEDEX 08, 69372 Lyon, France.
Nutrients. 2020 Sep 23;12(10):2906. doi: 10.3390/nu12102906.
This study aimed to compare calculated nutrient intakes from two different food composition databases using data from the European prospective investigation into cancer and nutrition (EPIC) cohort. Dietary intake data of the EPIC cohort was recently matched to 150 food components from the U.S. nutrient database (USNDB). Twenty-eight of these nutrients were already included in the EPIC nutrient database (ENDB-based upon country specific food composition tables), and used for comparison. Paired sample t-tests, Pearson's correlations (r), weighted kappa's (κ) and Bland-Altman plots were used to compare the dietary intake of 28 nutrients estimated by the USNDB and the ENDB for 476,768 participants. Small but significant differences were shown between the USNDB and the ENDB for energy and macronutrient intakes. Moderate to very strong correlations (r = 0.60-1.00) were found for all macro- and micronutrients. A strong agreement (κ > 0.80) was found for energy, water, total fat, carbohydrates, sugar, alcohol, potassium and vitamin C, whereas a weak agreement (κ < 0.60) was found for starch, vitamin D and vitamin E. Dietary intakes estimated via the USNDB compare adequately with those obtained via the ENDB for most macro- and micronutrients, although the agreement was weak for starch, vitamin D and vitamin E. The USNDB will allow exposure assessments for 150 nutrients to investigate associations with disease outcomes within the EPIC cohort.
本研究旨在比较两种不同食物成分数据库的计算营养素摄入量,所使用的数据来自欧洲癌症前瞻性调查与营养(EPIC)队列。EPIC 队列的饮食摄入数据最近与美国营养数据库(USNDB)中的 150 种食物成分相匹配。这 28 种营养素已经包含在 EPIC 营养数据库(基于特定国家食物成分表的 ENDB)中,用于比较。使用配对样本 t 检验、皮尔逊相关系数(r)、加权 kappa(κ)和 Bland-Altman 图比较了 476768 名参与者的 28 种营养素的饮食摄入量,这些营养素是由 USNDB 和 ENDB 估计的。USNDB 和 ENDB 之间的能量和宏量营养素摄入量存在微小但显著的差异。所有宏量和微量营养素的相关性都处于中等至非常强(r = 0.60-1.00)。能量、水、总脂肪、碳水化合物、糖、酒精、钾和维生素 C 的一致性很强(κ>0.80),而淀粉、维生素 D 和维生素 E 的一致性较弱(κ<0.60)。USNDB 可以为 150 种营养素进行暴露评估,以调查其与 EPIC 队列中疾病结果的关联。