Cross-border use of food databases: equivalence of US and Australian databases for macronutrients.

Cross-border use of food databases: equivalence of US and Australian databases for macronutrients.
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DOI:
10.1016/j.jand.2013.05.021
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发表时间:
2013-10
影响因子:
4.8
通讯作者:
Kalkwarf, Heidi J.
Kalkwarf, Heidi J.
中科院分区:
医学2区
文献类型:
--
作者:
Summer, Suzanne S.;Ollberding, Nicholas J.;Guy, Trish;Setchell, Kenneth D. R.;Brown, Nadine;Kalkwarf, Heidi J.

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在估计多个国家的饮食摄入量时,缺乏一个全面的饮食数据库可能会导致研究人员修改一个数据库来分析所有参与者的摄入量。这种方法可能产生与使用国别数据库不同的结果,并产生计量误差。我们研究了澳大利亚人的营养素摄入量计算与修改后的美国数据库将与澳大利亚数据库计算的相似。我们使用美国的营养数据研究系统分析了68名澳大利亚成年人的3天食物记录,该系统经过修改以反映澳大利亚消费的食物。修改需要确定一种替代食品,其能量和常量营养素含量在澳大利亚食品的10%以内,或者在数据库中添加一种新的食品。配对Wilcoxon符号秩检验被用来比较两个数据库估计的营养摄入量的差异,皮尔逊和组内相关系数测量个体摄入量估计值之间的关联度和一致性。在组水平上,能量、碳水化合物、蛋白质和纤维的中位摄入量差异<5%。脂肪(11%; P<0.0001)和大多数微量营养素的差异较大。尽管相关性很强,但相当一部分参与者的营养摄入量差异大于10%(能量为35%,总脂肪为69%)。在现有数据库中添加特定国家的食物项目,得出了类似的总体常量营养素摄入量估计数,但不足以估计个人摄入量。在多国研究中分析营养素摄入量时,可能需要对数据库进行更大的标准化和修改,以更准确地估计个体的摄入量。
When estimating dietary intake across multiple countries, the lack of a single comprehensive dietary database may lead researchers to modify one database to analyze intakes for all participants. This approach may yield results different from those using the country-specific database and introduce measurement error. We examined whether nutrient intakes of Australians calculated with a modified US database would be similar to those calculated with an Australian database. We analyzed 3-day food records of 68 Australian adults using the US-based Nutrition Data System for Research, modified to reflect food items consumed in Australia. Modification entailed identifying a substitute food whose energy and macronutrient content were within 10% of the Australian food or by adding a new food to the database. Paired Wilcoxon signed rank tests were used to compare differences in nutrient intakes estimated by both databases, and Pearson and intraclass correlation coefficients measured degree of association and agreement between intake estimates for individuals. Median intakes of energy, carbohydrate, protein, and fiber differed by <5% at the group level. Larger discrepancies were seen for fat (11%; P<0.0001) and most micronutrients. Despite strong correlations, nutrient intakes differed by >10% for an appreciable percentage of participants (35% for energy to 69% for total fat). Adding country-specific food items to an existing database resulted in similar overall macronutrient intake estimates but was insufficient for estimating individual intakes. When analyzing nutrient intakes in multinational studies, greater standardization and modification of databases may be required to more accurately estimate intake of individuals.
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