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Web-Enabled and Improved Software Tools and Data Are Needed to Measure Nutrient Intakes and Physical Activity for Personalized Health Research

机译:需要基于Web的经过改进的软件工具和数据来测量营养摄入量和体育活动以进行个性化健康研究

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摘要

Food intake, physical activity (PA), and genetic makeup each affect health and each factor influences the impact of the other 2 factors. Nutrigenomics describes interactions between genes and environment. Knowledge about the interplay between environment and genetics would be improved if experimental designs included measures of nutrient intake and PA. Lack of familiarity about how to analyze environmental variables and ease of access to tools and measurement instruments are 2 deterrents to these combined studies. This article describes the state of the art for measuring food intake and PA to encourage researchers to make their tools better known and more available to workers in other fields. Information presented was discussed during a workshop on this topic sponsored by the USDA, NIH, and FDA in the spring of 2009.
机译:食物摄入量,体力活动(PA)和基因组成都会影响健康,而每个因素都会影响其他两个因素的影响。营养基因组学描述了基因与环境之间的相互作用。如果实验设计包括营养摄入和PA的测量,则将改善有关环境与遗传学之间相互作用的知识。缺乏对如何分析环境变量的了解以及对工具和测量仪器的便捷使用是阻碍这些综合研究的两个因素。本文介绍了测量食物摄入量和PA的最新技术,以鼓励研究人员更好地了解其工具,并使其他领域的工作者更容易使用它们。在2009年春季,由美国农业部,美国国立卫生研究院和美国食品和药物管理局(FDA)赞助的关于该主题的研讨会上讨论了所提供的信息。

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