Population Nutrition Research, MRC Human Nutrition Research, Cambridge, UK.
Eur J Clin Nutr. 2010 Nov;64 Suppl 3:S32-6. doi: 10.1038/ejcn.2010.207.
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.
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.
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.
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.
将英国国家饮食与营养调查（NDNS）中使用的复合食品代码分解为其各个食品成分，以便更完整地估计个体食品层面的摄入量。
对 NDNS 食物成分数据库中的 3216 种复合食品代码进行了分解。主要使用的食品成分是肉、鱼、水果、蔬菜和奶酪，这些成分进一步分为 26 个子类别。
结果表明，先前对含肉复合食品代码的确定导致了对肉类摄入量的高估以及对水果和蔬菜等其他成分的低估。
通过将分解后的数据纳入 NDNS，某些主要食物组的消费情况将出现变化，但这些变化也可能归因于消费趋势。
