Ribeiro Pérola, de Morais Tânia Beninga, Colugnati Fernando Antonio Basile, Sigulem Dirce Maria
Laboratório de Bromatologia e Microbiologia de Alimentos, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, SP, Brasil.
Rev Saude Publica. 2003 Apr;37(2):216-25. doi: 10.1590/s0034-89102003000200009. Epub 2003 Apr 4.
To evaluate the agreement between macronutrients and food energy values analyzed in laboratory and data of food composition tables and software available in Brazil.
Eleven types of food were analyzed totaling 701 samples. Student's t-test was performed consisting of the comparison between the mean values obtained in laboratory and the unique constant value of each table or software at 5% confidence level.
It was noted that depending on the type of food, nutrient and table or software selected for comparison, there were significant statistically differences between laboratory and tables and software data. Concerning the studied types of food it was observed a trend of overestimating protein and carbohydrate content in two tables while carbohydrate content was overestimated in a third table. One of the software programs showed overestimated lipid content and, consequently, the total energetic values while a second software program underestimated all nutrients when compared to laboratory results.
The results showed it is essential to create a Brazilian food composition table from laboratory data to assure more accurate data.
评估实验室分析的常量营养素和食物能量值与巴西现有食物成分表及软件数据之间的一致性。
分析了11种食物，共701个样本。进行了学生t检验，即在5%置信水平下，比较实验室获得的平均值与每个表格或软件的唯一常量值。
注意到，根据所选择用于比较的食物类型、营养素以及表格或软件的不同，实验室数据与表格及软件数据之间存在显著的统计学差异。关于所研究的食物类型，观察到在两个表格中存在高估蛋白质和碳水化合物含量的趋势，而在第三个表格中碳水化合物含量被高估。与实验室结果相比，其中一个软件程序显示脂质含量及总能量值被高估，而另一个软件程序则低估了所有营养素。
结果表明，有必要根据实验室数据创建巴西食物成分表，以确保数据更准确。
