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首页> 外文期刊>Journal of the American Dietetic Association >Nutrient database development: a historical perspective from the Framingham Nutrition Studies.
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Nutrient database development: a historical perspective from the Framingham Nutrition Studies.

机译:营养数据库的开发:弗雷明汉营养研究的历史观点。

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Food frequency questionnaires (FFQs) are commonly used in nutritional epidemiology to assess habitual eating habits. Development of an appropriate food and nutrient database is required for translating information derived from FFQs into estimates of nutrient intake, dietary quality, or for absolute or rank-ordered nutritional risk assessment. We discuss the procedures used recently in designing a historical nutrient database to analyze an FFQ administered in 1984-1988 to Framingham Offspring-Spouse Study members. This systematic approach should inform other research in the field. The self-administered 145-item Framingham FFQ is semi-quantitative with seven nonoverlapping response categories to determine annual consumption frequency. The database development process included selection of the US Department of Agriculture's Nutrient Database for Standard Reference as the primary raw data source, expansion of the 145 FFQ line items to code individual foods to assign nutrient values, a selection process to match foods to appropriate nutrition codes for nutrient information, and a statistical model to calculate nutrient intakes. The historical database contains 449 foods and nutrient data for all 29 nutrients available in 1985. The adequacy with which an FFQ can provide reliable diet assessment data depends on the integrity of the underlying database. We outlined a systematic protocol to derive usual dietary intake from an FFQ using a robust nutrient database that is appropriate for the Framingham Offspring-Spouse Study FFQ and its assessment time-frame. The database can be updated to accommodate changes in the food supply and eating behaviors and creates a foundation for future nutrition research. 2010 American Dietetic Association. Published by Elsevier Inc. All rights reserved.
机译:营养流行病学通常使用食物频率调查表(FFQs)来评估习惯饮食习惯。需要建立适当的食品和营养数据库,以将来自食用快餐的信息转化为营养摄入量,饮食质量的估计,或进行绝对或按顺序排列的营养风险评估。我们讨论了最近在设计历史营养物数据库时使用的程序,以分析1984-1988年对弗雷明汉后代与配子研究成员进行的FFQ。这种系统的方法应该为该领域的其他研究提供参考。自我管理的145项Framingham FFQ是半定量的,具有七个不重叠的响应类别,以确定年度消费频率。数据库开发过程包括选择美国农业部标准参考营养数据库作为主要原始数据源,扩展145个FFQ订单项以编码单个食物以分配营养价值,以及一个选择过程以使食物与适当的营养代码匹配提供营养信息,以及用于计算营养摄入量的统计模型。历史数据库包含1985年所有29种营养素的449种食物和营养素数据。FFQ能否提供可靠的饮食评估数据取决于其基础数据库的完整性。我们概述了一个系统的协议,该协议使用健壮的营养数据库从FFQ中获取日常饮食摄入量,该数据库适用于Framingham后代-配偶研究FFQ及其评估时间框架。该数据库可以进行更新以适应食物供应和饮食行为的变化,并为将来的营养研究奠定基础。 2010年美国饮食协会。由Elsevier Inc.出版。保留所有权利。

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