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验证 MSM 和 NCI 方法在中国成年人根据四个连续的 24 小时膳食回忆日估计营养素和食物日常摄入量的适用性。

Validation of the MSM and NCI Method for Estimating the Usual Intake of Nutrients and Food According to Four Seasons of Seven Consecutive Daily 24 Hour Dietary Recalls in Chinese Adults.

机构信息

Key Laboratory of Trace Element Nutrition of National Health Commission, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.

出版信息

Nutrients. 2022 Jan 19;14(3):445. doi: 10.3390/nu14030445.

DOI:10.3390/nu14030445
PMID:35276804
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8838361/
Abstract

The Multiple Source Method (MSM) and the National Cancer Institute (NCI) method are used to estimate usual dietary intake from short-term dietary assessment instruments, such as 24 hour dietary recall (24-HRs). However, their performance has not been validated in the Chinese population via nutrition surveys. To validate the accuracy of the MSM and NCI method in estimating usual dietary intake in the Chinese population, 752 individuals from northern and southern China answered four seasons of seven consecutive 24-HRs (one for each season). The true usual dietary intake was considered as the average of the 28 collection days of dietary component intake. Using data sets with consecutive 3 collection days, the usual intakes of the selected dietary components were estimated by MSM, NCI and the within-person mean of three 24-HRs (3 day method). These estimates were compared with the true usual intake at the group and individual level. At the group level, the MSM and NCI method performed similarly, yielding estimates closer to the true usual intake than 3 day method. The percentage differences of the estimates for dietary components not consumed daily from the MSM and NCI method were larger than for the dietary components consumed daily. However, the larger percentage differences were observed in the tail of the usual intake distribution. In general, dietary components with larger variance ratios had greater percentage differences. At the individual level, for overall seasons and dietary components, the biases of individual usual intake did agree for MSM and NCI method, whereas NCI method estimates were closer to true intakes than for the MSM and 3 day method. Similar results were observed in the relative biases of dietary components consumed daily. As with the group level, there was less percentage difference in dietary components consumed daily. Both the MSM and NCI method can be used to estimate usual intake in Chinese populations and are closer to the true usual intake than the traditional mean method, at both group and individual levels.

摘要

多源法(MSM)和美国国家癌症研究所(NCI)方法用于从短期饮食评估工具(如 24 小时膳食回顾(24-HR))估计通常的饮食摄入量。然而,它们在通过营养调查验证在中国人群中的性能尚未得到验证。为了验证 MSM 和 NCI 方法在估计中国人群中通常饮食摄入量的准确性,来自中国南北的 752 人回答了四个季节的七个连续 24-HR(每个季节一个)。真正的通常饮食摄入量被认为是饮食成分摄入量的 28 个采集日的平均值。使用具有连续 3 个采集日的数据集,通过 MSM、NCI 和三个 24-HR 的个体内平均值(3 天方法)来估计所选饮食成分的通常摄入量。这些估计值与群体和个体水平的真实通常摄入量进行了比较。在群体水平上,MSM 和 NCI 方法的表现相似,其估计值比 3 天方法更接近真实通常摄入量。从 MSM 和 NCI 方法得出的不每天食用的饮食成分的估计值与百分比差异大于每天食用的饮食成分。然而,较大的百分比差异出现在通常摄入量分布的尾部。一般来说,方差比越大的饮食成分差异越大。在个体水平上,对于整个季节和饮食成分,MSM 和 NCI 方法的个体通常摄入量的偏差是一致的,而 NCI 方法的估计值比 MSM 和 3 天方法更接近真实摄入量。对于每天食用的饮食成分的相对偏差也观察到了相似的结果。与群体水平一样,每天食用的饮食成分的百分比差异较小。MSM 和 NCI 方法均可用于估计中国人群的通常摄入量,并且在群体和个体水平上都比传统的平均值方法更接近真实通常摄入量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0ee/8838361/34766958c4cc/nutrients-14-00445-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0ee/8838361/ed39a0bf2cea/nutrients-14-00445-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0ee/8838361/2f4fda7b720c/nutrients-14-00445-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0ee/8838361/f268f12ba815/nutrients-14-00445-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0ee/8838361/34766958c4cc/nutrients-14-00445-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0ee/8838361/ed39a0bf2cea/nutrients-14-00445-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0ee/8838361/2f4fda7b720c/nutrients-14-00445-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0ee/8838361/f268f12ba815/nutrients-14-00445-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0ee/8838361/34766958c4cc/nutrients-14-00445-g004.jpg

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