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首页> 外文期刊>European journal of clinical nutrition >Disaggregating composite food codes in the UK National Diet and Nutrition Survey food composition databank.
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Disaggregating composite food codes in the UK National Diet and Nutrition Survey food composition databank.

机译:在英国国家饮食和营养调查食品成分数据库中分解复合食品法规。

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摘要

OBJECTIVE: To disaggregate composite food codes used in the UK National Diet and Nutrition Survey (NDNS) into their individual food components in order to provide a more complete estimate of intake at the individual food level. METHODS: A total of 3216 composite food codes from the NDNS food composition databank were subject to disaggregation. The main food components used were meat, fish, fruit, vegetables and cheese, which were further divided into 26 subcategories. RESULTS: It was shown that previous determination of meat containing composite food codes provided an overestimate of meat intake and underestimate of additional components such as fruit and vegetables. CONCLUSIONS: By incorporating disaggregated data into NDNS, variations will be seen in consumption of some main food groups, but these variations may be also attributable to trends in consumption.
机译:目的:将英国全国饮食和营养调查(NDNS)中使用的复合食品法规分解为各自的食品成分,以便更全面地估算各个食品水平的摄入量。方法:将来自NDNS食品成分数据库的3216种复合食品代码进行分解。所使用的主要食品成分是肉,鱼,水果,蔬菜和奶酪,它们进一步分为26个子类别。结果:结果表明,以前确定含有复合食品法规的肉类会高估肉类的摄入量,而会低估其他水果和蔬菜等成分。结论:通过将分类数据合并到NDNS中,一些主要食品的消费量将出现变化,但这些变化也可能归因于消费趋势。

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