Adjustments to improve the estimation of usual dietary intake distributions in the population
Adjustments to improve the estimation of usual dietary intake distributions in the population
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DOI：
10.1093/jn/134.7.1836
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发表时间：
2004-07-01
影响因子：
4.2
通讯作者：
Kipnis, V
中科院分区：
文献类型：
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作者：
Freedman, LS;Midthune, D;Kipnis, V
我们重新审查了目前的做法，估计通常的膳食营养素摄入量的分布，从人口调查时，使用自我报告的饮食工具，特别是24小时回忆（24 HR），根据新的数据，从观察蛋白质和能量营养研究。在这项研究中，对484名健康志愿者进行了能量（双标记水）和蛋白质[尿氮（UN）]的参考生物标志物以及多个FFQ和24 HR。通过使用参考生物标志物来估计能量和蛋白质的分布，数据证实了先前的报告，即FFQ通常不能准确反映日常饮食摄入量的分布。应用于24小时的传统方法表现不佳，因为低估了通常能量和蛋白质摄入量分布的平均值并高估了SD，而且，尽管国家研究理事会和爱荷华州州立大学的方法通常能更好地估计分布的形状，他们没有改善平均值的估计（能量低估10-15%，蛋白质低估6-7%）。尿钾（钾摄入量的假定生物标志物）和报告的钾摄入量的结果未显示这种低估，可能反映了食物的差异性低估或钾生物标志物的不足。需要进行一项大型对照喂养研究，以最终验证钾生物标志物。对于能量摄入，通过使用联合国生物标志物调整其基于24小时的分布似乎可以相当准确地捕获通常的摄入分布。因此，将联合国评估纳入营养调查值得认真考虑。
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.