Selecting informative food items for compiling food-frequency questionnaires: comparison of procedures
Selecting informative food items for compiling food-frequency questionnaires: comparison of procedures
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DOI：
10.1017/s0007114510000401
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发表时间：
2010-08-14
影响因子：
3.6
通讯作者：
van't Veer, Pieter
中科院分区：
文献类型：
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作者：
Molag, Marja L.;de Vries, Jeanne H. M.;van't Veer, Pieter
作者在一个计算机系统中自动选择食物，该系统编译和处理定制的FFQ。对于食品的选择，有几种方法可供选择。本研究的目的是比较食物清单的MOM 2，它确定的食物项目与最高的人之间的差异摄入的营养素的利益，而不考虑其他项目，与食物清单的前向回归。名称MOM 2指的是方差，这是营养素摄入分布的二阶矩。从3524名25-65岁成年人的2d记录摄入量中选择感兴趣的营养素食物。将80% MOM 2的食物清单与80%解释方差的食物清单进行比较，以回归分析食物项目数量和类型之间的差异，并根据（1）解释方差的百分比和（2）食物清单上选定项目对人口摄入量的贡献百分比进行评估。MOM 2选择相同的食物项目钙，脂肪和维生素C多一些，碳水化合物和膳食纤维少一些。MOM 2基于80%的摄入量方差的食物清单覆盖了75-87%的回归解释的不同营养素方差，占总人口摄入量的53- 75%。结论，对于制定FFQ的食物清单，似乎足以根据营养素摄入量的方差的贡献来选择食物项目，而不考虑协方差。
The authors automated the selection of foods in a computer system that compiles and processes tailored FFQ. For the selection of food items, several methods are available. The aim of the present study was to compare food lists made by MOM2, which identifies food items with highest between-person variance in intake of the nutrients of interest without taking other items into account, with food lists made by forward regression. The name MOM2 refers to the variance, which is the second moment of the nutrient intake distribution. Food items were selected for the nutrients of interest from 2d of recorded intake in 3524 adults aged 25-65 years. Food lists by 80% MOM2 were compared to those by 80% explained variance for regression on differences between the number and type of food items, and were evaluated on (1) the percentage of explained variance and (2) percentage contribution to population intake computed for the selected items on the food list. MOM2 selected the same food items for Ca, a few more for fat and vitamin C, and a few less for carbohydrates and dietary fibre than forward regression. Food lists by MOM2 based on 80% of variance in intake covered 75-87% of explained variance for different nutrients by regression and contributed 53-75 % to total population intake. Concluding, for developing food lists of FFQ, it appears sufficient to select food items based on the contribution to variance in nutrient intake without taking covariance into account.