Food composition database development for between country comparisons

Food composition database development for between country comparisons
复制标题

DOI:
10.1186/1475-2891-5-2
复制
发表时间:
2006-01-01
期刊:
影响因子:
5.4
通讯作者:
Dehghan, Mahshid
Dehghan, Mahshid
中科院分区:
医学2区
文献类型:
--
作者:
Merchant, Anwar T.;Dehghan, Mahshid

文献摘要

被引文献

相似文献

通过饮食分析进行的营养评估是一个两步过程,包括评估食物消耗量,以及通过使用食物成分数据库将食物转化为营养摄入量,该数据库列出了给定食物部分的平均营养值。文献中的大多数报告侧重于尽量减少估计食物消费量的错误,但在营养素估计中使用的特定食物组成表的选择也是错误的来源。我们正在国际上进行一项大型前瞻性研究,需要比较不同国家之间的饮食,通过食物频率问卷进行评估。我们已经建立了一个多国食物成分数据库,用于对所有参与我们研究的国家的营养成分进行评估。营养素数据库主要基于美国农业部食物成分数据库,参考当地食物成分表进行适当修改,并补充了当地食用的混合菜肴的食谱。通过这样做,我们确保了测量单位、选择测试食品的方法以及用于营养评估的测定方法是一致的,并且尽可能是最新的,但也考虑了一些地方性的变化。使用这一共同的营养评估指标将减少营养估计的差异误差,提高国家间比较的有效性。
Nutritional assessment by diet analysis is a two-stepped process consisting of evaluation of food consumption, and conversion of food into nutrient intake by using a food composition database, which lists the mean nutritional values for a given food portion. Most reports in the literature focus on minimizing errors in estimation of food consumption but the selection of a specific food composition table used in nutrient estimation is also a source of errors. We are conducting a large prospective study internationally and need to compare diet, assessed by food frequency questionnaires, in a comparable manner between different countries. We have prepared a multi-country food composition database for nutrient estimation in all the countries participating in our study. The nutrient database is primarily based on the USDA food composition database, modified appropriately with reference to local food composition tables, and supplemented with recipes of locally eaten mixed dishes. By doing so we have ensured that the units of measurement, method of selection of foods for testing, and assays used for nutrient estimation are consistent and as current as possible, and yet have taken into account some local variations. Using this common metric for nutrient assessment will reduce differential errors in nutrient estimation and improve the validity of between-country comparisons.