Slimani N, Deharveng G, Unwin I, Southgate D A T, Vignat J, Skeie G, Salvini S, Parpinel M, Møller A, Ireland J, Becker W, Farran A, Westenbrink S, Vasilopoulou E, Unwin J, Borgejordet A, Rohrmann S, Church S, Gnagnarella P, Casagrande C, van Bakel M, Niravong M, Boutron-Ruault M C, Stripp C, Tjønneland A, Trichopoulou A, Georga K, Nilsson S, Mattisson I, Ray J, Boeing H, Ocké M, Peeters P H M, Jakszyn P, Amiano P, Engeset D, Lund E, de Magistris M Santucci, Sacerdote C, Welch A, Bingham S, Subar A F, Riboli E
Nutrition and Hormones Group, International Agency for Research on Cancer, Lyon, France.
Eur J Clin Nutr. 2007 Sep;61(9):1037-56. doi: 10.1038/sj.ejcn.1602679. Epub 2007 Mar 21.
This paper describes the ad hoc methodological concepts and procedures developed to improve the comparability of Nutrient databases (NDBs) across the 10 European countries participating in the European Prospective Investigation into Cancer and Nutrition (EPIC). This was required because there is currently no European reference NDB available.
A large network involving national compilers, nutritionists and experts on food chemistry and computer science was set up for the 'EPIC Nutrient DataBase' (ENDB) project. A total of 550-1500 foods derived from about 37,000 standardized EPIC 24-h dietary recalls (24-HDRS) were matched as closely as possible to foods available in the 10 national NDBs. The resulting national data sets (NDS) were then successively documented, standardized and evaluated according to common guidelines and using a DataBase Management System specifically designed for this project. The nutrient values of foods unavailable or not readily available in NDSs were approximated by recipe calculation, weighted averaging or adjustment for weight changes and vitamin/mineral losses, using common algorithms.
The final ENDB contains about 550-1500 foods depending on the country and 26 common components. Each component value was documented and standardized for unit, mode of expression, definition and chemical method of analysis, as far as possible. Furthermore, the overall completeness of NDSs was improved (>or=99%), particularly for beta-carotene and vitamin E.
The ENDB constitutes a first real attempt to improve the comparability of NDBs across European countries. This methodological work will provide a useful tool for nutritional research as well as end-user recommendations to improve NDBs in the future.
本文描述了为提高参与欧洲癌症与营养前瞻性调查（EPIC）的10个欧洲国家营养数据库（NDB）之间的可比性而制定的临时方法概念和程序。之所以需要这样做，是因为目前尚无欧洲参考NDB。
为“EPIC营养数据库”（ENDB）项目建立了一个由国家编译人员、营养学家以及食品化学和计算机科学专家组成的大型网络。从约37000份标准化的EPIC 24小时膳食回忆（24-HDRS）中获取的总共550 - 1500种食物，尽可能与10个国家NDB中可用的食物进行匹配。然后，根据通用指南并使用专门为此项目设计的数据库管理系统，对所得的国家数据集（NDS）依次进行记录、标准化和评估。对于NDS中不可用或不易获得的食物的营养素值，使用通用算法通过食谱计算、加权平均或对重量变化和维生素/矿物质损失进行调整来估算。
最终的ENDB包含约550 - 1500种食物（因国家而异）和26种常见成分。每个成分值都尽可能就单位、表达方式、定义和化学分析方法进行了记录和标准化。此外，NDS的整体完整性得到了提高（≥99%），特别是β-胡萝卜素和维生素E。
ENDB是提高欧洲国家NDB可比性的首次实际尝试。这项方法学工作将为营养研究提供有用工具，并为未来改进NDB提供终端用户建议。
