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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中使用的食品成分数据库的标准化(elans)

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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:在使用不同的食物组成表时,估计膳食摄入的国家比较特别容易出现错误。本研究的目的是描述我们的程序和理由,用于选择和调整可用的食品组合物到一个数据库,以实现越野营养​​摄入比较。拉丁美洲的营养与健康研究(Elans)是一项来自八个拉丁美洲国家的代表性样本的多中心横截面研究。标准研究方案旨在调查9000名参与者的膳食摄入量。使用多种通过方法的两个24小时回忆在所有国家的个人之间应用。在各国之间的协调过程中,将来自24小时饮食回忆的数据进入研究(NDS-R)计划,包括当地食品并适当调整NDS-R数据库。涉及研究参与者在NDS-R数据库中提供的食物报告的当地食品营养等效的食品匹配标准化程序是由每个国家进行的食物。食物和营养评估的标准化具有最大限度地减少ELANS项目中营养物质估算中的系统和随机误差。该研究预计将导致拉丁美洲的独特数据集,使该地区内的能量,宏观和微营养摄入量的越野比较。

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