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Systems and methods for determining nutrients within dietary intake

机译:确定膳食摄入量中营养素的系统和方法

摘要

The present invention uses market research data to access nutrient intakes of a population. Dietary collection using 24-hour recall generally does not reflect a pattern of “usual” intake behavior for a population group. To determine the impact of food consumption patterns on nutrient intake, a unique methodology using 14-day food diary was developed. The food industry has traditionally used detailed food records to track the consumption of specific branded food items and monitor the growth of food categories, but some of the most valuable databases available concerning longer-term (e.g., 14-day) food intake do not record portion size on an individual consumption basis. Other databases based on shorter-term (24-hour recall) survey periods record portion sizes but are not very representative of eating habits. The preferred exemplary embodiment integrates two such databases with a third data set providing detailed nutrient information for each of a wide variety of foods consumed to provide a combined database for processing nutrient intake reports using statistical analysis. This flexible system allows the user to categorize the population based on “usual” consumption of food categories, specific foods and/or specific brands of foods and determine dietary differences versus their “non-using” counterparts.
机译:本发明使用市场研究数据来获取人群的营养摄入。使用24小时召回的饮食收集通常不能反映人群的“通常”摄入行为模式。为了确定食物消费方式对营养摄入的影响,开发了一种独特的使用14天食物日记的方法。传统上,食品行业使用详细的食品记录来跟踪特定品牌食品的消费并监视食品类别的增长,但是一些有关长期(例如14天)食物摄入量的最有价值的数据库却没有记录每份消费的份量。其他基于短期(24小时召回)调查期的数据库记录了份量,但不能很好地代表饮食习惯。优选的示例性实施例将两个这样的数据库与第三数据集集成在一起,该第三数据集为所食用的各种食物中的每一种提供详细的营养信息,以提供用于使用统计分析来处理营养摄入报告的组合数据库。这种灵活的系统使用户可以根据食品类别,特定食品和/或特定品牌食品的“通常”消费对人群进行分类,并确定与“不使用”对应食品的饮食差异。

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