首页> 外文期刊>Journal of Food Composition and Analysis >Quality assurance during data processing of food and nutrient intakes.
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Quality assurance during data processing of food and nutrient intakes.

机译:食物和营养摄入量数据处理过程中的质量保证。

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The Food Surveys Research Group (FSRG) is responsible for methods of data collection and processing of dietary intake data, including the What We Eat in America Survey, which is the dietary interview component of the National Health and Nutrition Examination Survey (NHANES). Many measures have been implemented to ensure accuracy of the dietary data, such as a state-of-the-art data collection instrument and an extensive food and nutrient database. Also important, but usually receiving less public attention is the quality assurance taking place during data processing. A four-part quality assurance procedure is used for food intake data processed by FSRG. This includes (1) determination of overall acceptability of each 24-h recall, (2) resolution of new or unusual foods and amounts, (3) administration of data integrity checks, and (4) verification of 24-h recalls with extremely high nutrient intakes. Quality assurance not only contributes to the accuracy and validity of a specific set of dietary intake data, it also benefits future studies because findings help identify areas to target for interviewer training or for improvements in data collection and processing procedures..
机译:食品调查研究小组(FSRG)负责数据收集和膳食摄入数据处理的方法,包括“我们在美国吃什么”调查,该调查是美国国家健康与营养检查调查(NHANES)的饮食访谈部分。为了确保饮食数据的准确性,已经采取了许多措施,例如最先进的数据收集工具以及广泛的食物和营养数据库。在数据处理过程中进行质量保证也很重要,但通常不会引起公众的关注。 FSRG处理的食物摄入数据使用四部分质量保证程序。这包括(1)确定每次24小时召回的总体可接受性,(2)解决新的或不寻常的食物和数量,(3)进行数据完整性检查的管理以及(4)验证极高的24小时召回率营养摄入。质量保证不仅有助于提高一组特定膳食摄入数据的准确性和有效性,而且还有利于将来的研究,因为研究结果有助于确定访问员培训或数据收集和处理程序改进的目标领域。

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