{"title":"食物成分数据对估算微量营养素摄入量的重要性:我们现在和将来知道些什么?","authors":"Fernanda Grande, Anna Vincent","doi":"10.1159/000503355","DOIUrl":null,"url":null,"abstract":"<p><p>Food composition tables and databases (FCT/FCDB) centralize data on the energy and nutrient content of foods of a certain country or region. They are essential for many activities related to nutrition. The main factors that can affect the quality of FCT/FCDB are the sources of the data, coverage of foods and components, food description, and component identification. Around 100 countries have published at least one FCT/FCDB, although many of them are outdated and vary considerably in terms of data quality, documentation, and accessibility. A great number of those FCT/FCDB contain very few up-to-date analytical data obtained for food composition purposes, resulting in many data being estimated or copied from publicly available FCT/FCDB from other countries. In addition, many other natural factors that can affect the composition of foods are often not reflected in FCT/FCDB, including biodiversity, maturation degree, soil, and harvest season. Therefore, the use of low-quality FCT/FCDB to convert food consumption data into energy and nutrient intakes may introduce errors resulting in under- or overestimated intake for a certain component. These wrong conclusions may lead to inappropriate or inefficient nutrition and health-related policies, especially to improve micronutrient status in populations and individuals.</p>","PeriodicalId":18986,"journal":{"name":"Nestle Nutrition Institute workshop series","volume":"93 ","pages":"39-50"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1159/000503355","citationCount":"6","resultStr":"{\"title\":\"The Importance of Food Composition Data for Estimating Micronutrient Intake: What Do We Know Now and into the Future?\",\"authors\":\"Fernanda Grande, Anna Vincent\",\"doi\":\"10.1159/000503355\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Food composition tables and databases (FCT/FCDB) centralize data on the energy and nutrient content of foods of a certain country or region. They are essential for many activities related to nutrition. The main factors that can affect the quality of FCT/FCDB are the sources of the data, coverage of foods and components, food description, and component identification. Around 100 countries have published at least one FCT/FCDB, although many of them are outdated and vary considerably in terms of data quality, documentation, and accessibility. A great number of those FCT/FCDB contain very few up-to-date analytical data obtained for food composition purposes, resulting in many data being estimated or copied from publicly available FCT/FCDB from other countries. In addition, many other natural factors that can affect the composition of foods are often not reflected in FCT/FCDB, including biodiversity, maturation degree, soil, and harvest season. Therefore, the use of low-quality FCT/FCDB to convert food consumption data into energy and nutrient intakes may introduce errors resulting in under- or overestimated intake for a certain component. These wrong conclusions may lead to inappropriate or inefficient nutrition and health-related policies, especially to improve micronutrient status in populations and individuals.</p>\",\"PeriodicalId\":18986,\"journal\":{\"name\":\"Nestle Nutrition Institute workshop series\",\"volume\":\"93 \",\"pages\":\"39-50\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1159/000503355\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nestle Nutrition Institute workshop series\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1159/000503355\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2020/1/28 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nestle Nutrition Institute workshop series","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1159/000503355","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2020/1/28 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"Medicine","Score":null,"Total":0}
The Importance of Food Composition Data for Estimating Micronutrient Intake: What Do We Know Now and into the Future?
Food composition tables and databases (FCT/FCDB) centralize data on the energy and nutrient content of foods of a certain country or region. They are essential for many activities related to nutrition. The main factors that can affect the quality of FCT/FCDB are the sources of the data, coverage of foods and components, food description, and component identification. Around 100 countries have published at least one FCT/FCDB, although many of them are outdated and vary considerably in terms of data quality, documentation, and accessibility. A great number of those FCT/FCDB contain very few up-to-date analytical data obtained for food composition purposes, resulting in many data being estimated or copied from publicly available FCT/FCDB from other countries. In addition, many other natural factors that can affect the composition of foods are often not reflected in FCT/FCDB, including biodiversity, maturation degree, soil, and harvest season. Therefore, the use of low-quality FCT/FCDB to convert food consumption data into energy and nutrient intakes may introduce errors resulting in under- or overestimated intake for a certain component. These wrong conclusions may lead to inappropriate or inefficient nutrition and health-related policies, especially to improve micronutrient status in populations and individuals.