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首页> 外文期刊>Public Health Nutrition >Estimations of daily energy and nutrient availability based on nationally representative household budget survey data. The Data Food Networking (DAFNE) project
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Estimations of daily energy and nutrient availability based on nationally representative household budget survey data. The Data Food Networking (DAFNE) project

机译：根据全国代表性的家庭预算调查数据估算每日的能量和养分。数据食品网络（DAFNE）项目

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ObjectiveTo describe a cost-efficient method for estimating energy and nutrient availability using household budget survey (HBS) data.DesignFour different approaches were tested and the results were compared with published nutrient intake data. The selected method was exemplarily applied in German and Greek data.SettingGermany, 1998; Greece, 1998/99.MaterialNationally representative HBSs.ResultsComparisons showed that HBS-based estimates were generally close to intake data when results were presented as contributions to daily energy intake. Daily energy and protein availabilities were similar in Germany and Greece. Differences were observed in the availability of carbohydrates (German households reported a 5 percentage points higher contribution to daily energy availability) and lipids (Greek households recorded higher values for total fat, but lower values for saturated fat). Meat, added lipids and potatoes were important energy suppliers in Germany, whereas in Greece the first three energy suppliers were added lipids, cereals and meat. In both countries, meat, cereals, milk and cheese were important protein sources and cereals, potatoes, fruits and nuts contributed more than 60% of the daily carbohydrate availability. Added lipids were the major source of fat in the daily diet of both countries, but their contribution amounted to less than one-third in Germany and two-thirds in Greece.ConclusionsNational HBS data can be used for monitoring and comparing nutrient availability among representative population samples of different countries. The ground is set for the development of a harmonised food composition table to be applied to HBS food data at international level.
机译：目的描述一种使用家庭预算调查（HBS）数据估算能量和养分可利用性的成本有效方法。设计进行了4种不同方法的测试，并将结果与​​公开的养分摄入数据进行了比较。选择的方法被示例性地应用于德国和希腊的数据中。SettingGermany，1998; Germany，1998。希腊，1998/99年。材料在全国范围内具有代表性的HBS。德国和希腊的每日能量和蛋白质利用率相似。碳水化合物（德国家庭报告的每日能量可利用量增加5个百分点）和脂质（希腊家庭记录的总脂肪值较高，但饱和脂肪的值较低）的可用性不同。肉，添加的脂质和土豆是德国重要的能源供应商，而在希腊，前三个能源供应商添加了脂质，谷物和肉类。在这两个国家中，肉，谷物，牛奶和奶酪都是重要的蛋白质来源，谷物，土豆，水果和坚果占每日碳水化合物可利用量的60％以上。添加的脂质是两国日常饮食中脂肪的主要来源，但在德国和希腊的贡献中，脂肪的贡献不到三分之一，而全国的HBS数据可用于监测和比较代表性人群的营养素利用率不同国家的样本。为开发统一的食品成分表奠定基础，该表格将在国际一级应用于HBS食品数据。

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