食品科学 ›› 2005, Vol. 26 ›› Issue (8): 42-51.

• 基础研究 • 上一篇    下一篇

不同食物能量换算系统差异的统计学评价

 郭军, 何梅, 杨月欣   

  1. 中国疾病预防控制中心营养与食品安全所
  • 出版日期:2005-08-15 发布日期:2011-09-19

A Statistical Appraisal on Food Energy Conversion Systems:The Impact of Various Energy Conversion Systems on the Energy Values of FCT or FCD

 GUO  Jun, HE  Mei, YANG  Yue-Xin   

  1. Department of Food Nutrition Assessment, Institute of Nutrition and Food Safety, Chinese Center for Disease Control and Prevention
  • Online:2005-08-15 Published:2011-09-19

摘要: 从日本食物成分表中选出134种食物条目,并对其能量用5种不同的食物能量换算系统进行了重新计算,对各系统能量值的差异用均数、数据图形、绝对和相对差异等多种参数或方法进行了细致的统计学比较。结果表明,采用不同食物能量换算系统的食物成分表或数据库(FCT或FCD)在总能量以及在某些类食物的能量值存在较大的差异,尤其在含有极高膳食纤维的食物上差异很大;食物特异能量系统(MEspecific)和改进的代谢能为基础的能量系数系统(MEmod)对食物能量的估算结果一致性最好;中国采用的能量系数可能过低地评价了食物可代谢能量值,尤其过低评价了富含膳食纤维(DF)食物的能量值。

关键词: 食物能量换算系统, 能量系数, 能量值, 食物成分表, 统计学评价

Abstract: A total 134 food items were selected from Japanese Food Composition Table (FCT), and recalculated the energy values by 5 different food energy conversion systems respectively. The comparison on means, data profile plots, and analyses on absolute and relative difference (bias) all indicate that (1) different energy systems may produce significant differences on energy value, especially to high dietary fiber (DF) foods; (2) the ME specific and ME mod have showed the best correlation and consistency among systems, and produced the moderate energy values; Atwater’ factors inclined to assign the highest energy values, while the NME and European general factors have obtained the lowest energy level; (3) the Chinese FCT applied, so called European General Factors System may have underestimated the energy value on total FCT level, and have greatly underestimate the energy value when meets the very high fiber foods and diets. (4) Totally, Energy of China applied system is less (population mean and 95% CI) 36.2 (17.9~54.5) %, 17.8 (9.5~26.2) %, 17.6(8.9~26.1) % and 7.5(1.2~13.9) % than Atwater’s, ME specific, ME mod and NME respectively.

Key words: food energy conversion systems, energy factors, energy value, FCT, statistical appraisal