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为改进人群中通常饮食摄入量分布的估计而进行的调整。

Adjustments to improve the estimation of usual dietary intake distributions in the population.

作者信息

Freedman Laurence S, Midthune Douglas, Carroll Raymond J, Krebs-Smith Sue, Subar Amy F, Troiano Richard P, Dodd Kevin, Schatzkin Arthur, Bingham Sheila A, Ferrari Pietro, Kipnis Victor

机构信息

Department of Mathematics, Statistics and Computer Science, Bar Ilan University, Ramat Gan, Israel.

出版信息

J Nutr. 2004 Jul;134(7):1836-43. doi: 10.1093/jn/134.7.1836.

Abstract

We reexamined the current practice in estimating the distribution of usual dietary nutrient intakes from population surveys when using self-report dietary instruments, particularly the 24-h recall (24HR), in light of the new data from the Observing Protein and Energy Nutrition Study. In this study, reference biomarkers for energy (doubly labeled water) and protein [urinary nitrogen (UN)], together with multiple FFQs and 24HRs, were administered to 484 healthy volunteers. By using the reference biomarkers to estimate the distributions for energy and protein, the data confirmed previous reports that FFQs generally do not give an accurate impression of the distribution of usual dietary intake. The traditional method applied to 24HRs performed poorly because of underestimating the mean and overestimating the SD of the usual energy and protein intake distributions, and, although the National Research Council and the Iowa State University methods generally give better estimates of the shape of the distribution, they did not improve the estimates of the mean (10-15% underestimation for energy and 6-7% underestimation for protein). Results for urinary potassium, a putative biomarker for potassium intake, and reported potassium intake did not display this underestimation and may reflect either differential underreporting of foods or inadequacy of the potassium biomarker. A large controlled feeding study is required to validate conclusively the potassium biomarker. For energy intake, adjusting its 24HR-based distribution by using the UN biomarker appeared to capture the usual intake distribution quite accurately. Incorporating UN assessments into nutritional surveys, therefore, deserves serious consideration.

摘要

根据“观察蛋白质和能量营养研究”的新数据,我们重新审视了在使用自我报告饮食工具(特别是24小时回顾法,即24HR)进行人群调查以估计日常饮食营养素摄入量分布时的当前做法。在这项研究中,对484名健康志愿者进行了能量(双标水)和蛋白质[尿氮(UN)]的参考生物标志物检测,同时还进行了多项食物频率问卷(FFQ)和24HR调查。通过使用参考生物标志物来估计能量和蛋白质的分布,数据证实了之前的报告,即FFQ通常不能准确反映日常饮食摄入量的分布情况。应用于24HR的传统方法表现不佳,因为它低估了日常能量和蛋白质摄入量分布的均值,高估了标准差,而且,尽管美国国家研究委员会和爱荷华州立大学的方法通常能更好地估计分布形状,但它们并没有改善均值估计(能量低估10 - 15%,蛋白质低估6 - 7%)。尿钾作为钾摄入量的假定生物标志物,其结果与报告的钾摄入量并未显示出这种低估情况,这可能反映了食物报告差异或钾生物标志物的不足。需要进行一项大型对照喂养研究来最终验证钾生物标志物。对于能量摄入,使用UN生物标志物调整基于24HR的分布似乎能相当准确地捕捉到日常摄入量分布。因此,将UN评估纳入营养调查值得认真考虑。

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