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首页> 外文期刊>Journal of the Academy of Nutrition and Dietetics >Cross-border use of food databases: equivalence of US and Australian databases for macronutrients.
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Cross-border use of food databases: equivalence of US and Australian databases for macronutrients.

机译:食品数据库的跨境使用:美国和澳大利亚的大量营养素数据库相当。

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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
机译:在估算多个国家的饮食摄入量时,缺乏一个完整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。这种方法可能会产生与使用特定国家/地区数据库不同的结果,并引入测量误差。我们检查了使用改良的美国数据库计算出的澳大利亚人的营养摄入量是否会类似于使用澳大利亚数据库计算出的那些。我们使用基于美国的营养数据研究系统对68名澳大利亚成年人的3天食品记录进行了分析,该系统经过修改后可以反映澳大利亚消费的食品。修改需要确定替代食品,其能量和大量营养素含量在澳大利亚食品的10%以内,或者通过向数据库中添加新食品来进行。配对的Wilcoxon符号秩次检验用于比较两个数据库估计的营养摄入量之间的差异,皮尔森和组内相关系数测量个体摄入量估计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数摄入量差异小于5%。脂肪(11%; P <0.0001)和大多数微量元素的差异较大。尽管两者之间有很强的相关性,但对于相当一部分参与者来说,营养摄入量相差> 10%(能量35%至总脂肪69%)。将国家特定食品添加到现有数据库中,得出的总体常量营养素摄入量估算值相似,但不足以估算单个摄入量。在跨国研究中分析营养摄入量时,可能需要更大程度地标准化和修改数据库,才能更准确地估算个体的摄入量

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