van der Watt Izette, Stonehouse Welma, Pieters Marlien, Hanekom Susanna M, Loots Du Toit
School of Physiology, Nutrition and Consumer Science, North-West University, Potchefstroom Campus, South Africa.
Contemp Clin Trials. 2008 Jul;29(4):493-500. doi: 10.1016/j.cct.2007.11.002. Epub 2007 Nov 21.
There is an increased tendency in the field of nutrition research to conduct more outpatient controlled feeding trials. The formulation of accurate diets is essential in order to assemble valid scientific data, which will substantiate hypothesised relationships between a nutrient variable and an outcome. Research dieticians rely on the accuracy of computerised nutrient databases when designing the menu.
The reliability of the two computerised nutrient databases available in South Africa containing foods from different food sources were investigated, comparing them with each other and with the reference standard of chemical analysis.
A seven day Westernized menu providing an energy level of 7500 kJ/day was entered into FoodFinder3 (2002) and Dietary Manager (modified 2006 version) Software programmes. Food prepared according to this menu was chemically analysed for the macronutrient profiles (carbohydrate, fat and protein), fatty acid distribution (saturated fatty acids, mono-unsaturated fatty acids and poly-unsaturated fatty acids) and total fibre, insoluble and soluble fibre in order to compare data.
The two nutrient databases' values did not differ significantly from each other despite using different food sources, however, there were differences between the chemically analysed values and the databases' calculated values for selected nutrients. There were no significant differences between the amount of total energy, protein, carbohydrate, poly-unsaturated fatty acids and total fibre. The total fat, saturated fatty acid and mono-unsaturated fatty acid content using both FoodFinder3 and Dietary Manager were statistically and practically significantly higher than the chemical analysis (p<0.05). FoodFinder3 produced significantly lower levels of insoluble and soluble fibre compared to the chemical analysis.
The use of computerised nutrient databases in menu design for controlled feeding trials is functional and assists the research dietician with this challenging task. However, computer nutrient databases are not reliable enough to exclude the step of menu validation by chemical analysis before the start of the intervention.
营养研究领域越来越倾向于开展更多的门诊对照喂养试验。为了收集有效的科学数据,准确的饮食配方至关重要,这些数据将证实营养变量与结果之间的假设关系。研究营养师在设计菜单时依赖计算机化营养数据库的准确性。
对南非现有的两个包含不同食物来源食物的计算机化营养数据库的可靠性进行调查,并将它们相互比较以及与化学分析参考标准进行比较。
将一份提供每日7500千焦能量水平的七天西式菜单输入FoodFinder3(2002)和Dietary Manager(2006年修改版)软件程序。按照此菜单制备的食物进行宏量营养素谱(碳水化合物、脂肪和蛋白质)、脂肪酸分布(饱和脂肪酸、单不饱和脂肪酸和多不饱和脂肪酸)以及总纤维、不溶性纤维和可溶性纤维的化学分析,以便比较数据。
尽管使用了不同的食物来源,但两个营养数据库的值彼此之间没有显著差异,然而,所选营养素的化学分析值与数据库计算值之间存在差异。总能量、蛋白质、碳水化合物、多不饱和脂肪酸和总纤维的量没有显著差异。使用FoodFinder3和Dietary Manager得出的总脂肪、饱和脂肪酸和单不饱和脂肪酸含量在统计学上和实际应用中均显著高于化学分析结果(p<0.05)。与化学分析相比,FoodFinder3得出的不溶性和可溶性纤维水平显著更低。
在对照喂养试验的菜单设计中使用计算机化营养数据库是可行的,有助于研究营养师完成这项具有挑战性的任务。然而,计算机营养数据库的可靠性不足以排除在干预开始前通过化学分析进行菜单验证的步骤。