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Standardization of the Food Composition Database Used in the Latin American Nutrition and Health Study (ELANS)

机译:拉丁美洲营养与健康研究(ELANS)中使用的食品成分数据库的标准化

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摘要

Between-country comparisons of estimated dietary intake are particularly prone to error when different food composition tables are used. The objective of this study was to describe our procedures and rationale for the selection and adaptation of available food composition to a single database to enable cross-country nutritional intake comparisons. Latin American Study of Nutrition and Health (ELANS) is a multicenter cross-sectional study of representative samples from eight Latin American countries. A standard study protocol was designed to investigate dietary intake of 9000 participants enrolled. Two 24-h recalls using the Multiple Pass Method were applied among the individuals of all countries. Data from 24-h dietary recalls were entered into the Nutrition Data System for Research (NDS-R) program after a harmonization process between countries to include local foods and appropriately adapt the NDS-R database. A food matching standardized procedure involving nutritional equivalency of local food reported by the study participants with foods available in the NDS-R database was strictly conducted by each country. Standardization of food and nutrient assessments has the potential to minimize systematic and random errors in nutrient intake estimations in the ELANS project. This study is expected to result in a unique dataset for Latin America, enabling cross-country comparisons of energy, macro- and micro-nutrient intake within this region.
机译:当使用不同的食物成分表时,估计饮食摄入量的国家间比较尤其容易出错。这项研究的目的是描述我们将可用食物成分选择和调整到一个数据库的程序和基本原理,以便进行跨国营养摄入量比较。拉丁美洲营养与健康研究(ELANS)是来自八个拉丁美洲国家的代表性样本的多中心横断面研究。设计了一项标准研究方案,以调查9000名参与者的饮食摄入量。在所有国家/地区的个人中使用两次通行证方法进行了两次24小时召回。在各国之间进行协调以包括当地食品并适当调整NDS-R数据库之后,将24小时饮食召回中的数据输入到营养数据研究系统(NDS-R)计划中。每个国家都严格执行了一项食物匹配的标准化程序,该程序涉及研究参与者报告的与NDS-R数据库中可用的食物等效的当地食物的营养。食品和营养评估的标准化有可能最大程度地减少ELANS项目中营养摄入评估中的系统误差和随机误差。预期该研究将产生拉丁美洲的唯一数据集,从而能够对该地区内能量,大量和微量营养素摄入量进行跨国比较。

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