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为欧洲癌症与营养前瞻性调查(EPIC)编制标准化国际叶酸数据库。

Compilation of a standardised international folate database for EPIC.

作者信息

Nicolas Geneviève, Witthöft Cornelia M, Vignat Jérôme, Knaze Viktoria, Huybrechts Inge, Roe Mark, Finglas Paul, Slimani Nadia

机构信息

Nutrition and Metabolism Section, Dietary Exposure Assessment Group, International Agency for Research on Cancer, 150 Cours Albert Thomas, 69372 Lyon Cedex 08, France.

Department of Food Science, Uppsala BioCenter, Swedish University of Agricultural Sciences, SLU, P.O. Box 7051, SE-750 07 Uppsala, Sweden.

出版信息

Food Chem. 2016 Feb 15;193:134-40. doi: 10.1016/j.foodchem.2014.11.044. Epub 2014 Nov 18.

Abstract

This paper describes the methodology applied for compiling an "international end-user" folate database. This work benefits from the unique dataset offered by the European Prospective Investigation into Cancer and Nutrition (EPIC) (N=520,000 subjects in 23 centres). Compilation was done in four steps: (1) identify folate-free foods then find folate values for (2) folate-rich foods common across EPIC countries, (3) the remaining "common" foods, and (4) "country-specific" foods. Compiled folate values were concurrently standardised in terms of unit, mode of expression and chemical analysis, using information in national food composition tables (FCT). 43-70% total folate values were documented as measured by microbiological assay. Foods reported in EPIC were either matched directly to FCT foods, treated as recipes or weighted averages. This work has produced the first standardised folate dataset in Europe, which was used to calculate folate intakes in EPIC; a prerequisite to study the relation between folate intake and diseases.

摘要

本文介绍了用于编制“国际终端用户”叶酸数据库的方法。这项工作受益于欧洲癌症与营养前瞻性调查(EPIC)提供的独特数据集(23个中心的520,000名受试者)。编制工作分四个步骤进行:(1)识别不含叶酸的食物,然后为(2)EPIC国家共有的富含叶酸的食物、(3)其余“常见”食物以及(4)“特定国家”食物查找叶酸值。利用国家食物成分表(FCT)中的信息,对编制的叶酸值在单位、表达方式和化学分析方面同时进行标准化处理。通过微生物测定法测得的总叶酸值记录为43%-70%。EPIC中报告的食物要么直接与FCT食物匹配,要么作为食谱或加权平均值处理。这项工作产生了欧洲首个标准化叶酸数据集,该数据集用于计算EPIC中的叶酸摄入量;这是研究叶酸摄入量与疾病之间关系的先决条件。

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