Estimating Usual Food Intake Distributions by Using the Multiple Source Method in the EPIC-Potsdam Calibration Study
Estimating Usual Food Intake Distributions by Using the Multiple Source Method in the EPIC-Potsdam Calibration Study
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DOI：
10.3945/jn.109.120394
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发表时间：
2011-05-01
影响因子：
4.2
通讯作者：
Boeing, Heiner
中科院分区：
文献类型：
--
作者：
Haubrock, Jennifer;Noethlings, Ute;Boeing, Heiner
当考虑偶尔或很少吃的食物组时，从短期定量测量估计通常的食物摄入量分布是至关重要的。为了通过统计建模克服这一挑战，2006年开发了多源方法（MSM）。MSM通过将概率和消费量与协变量结合到建模部分中，从个人短期估计中提供通常的食物摄入量分布。习惯性消费频率信息可以以两种方式使用：第一，在短期测量中区分真正的非消费者和偶尔的非消费者，第二，作为统计模型中的协变量。因此，MSM能够计算偶尔非消费者的估计。MSM也可以处理关于非消费者比例的外部信息。作为概念验证，我们将MSM应用于欧洲癌症与营养前瞻性调查（EPIC）-波茨坦校准研究（2004）的数据集，该研究包括393名参与者，他们完成了两次24小时饮食回忆和一次FFQ。在24小时膳食回忆中，估计了38个食物组的平均摄入量分布，其中非消费者的比例> 70%。MSM得出的摄入量估计值与观察值（如组平均值）一致。这项研究表明，MSM是一个有用的和适用的统计技术来估计通常的食物摄入量分布，如果每个参与者至少有2个重复测量，即使是有相当大比例的非消费者的食物组。J.营养141：914-920，2011.
Estimating usual food intake distributions from short-term quantitative measurements is critical when occasionally or rarely eaten food groups are considered. To overcome this challenge by statistical modeling, the Multiple Source Method (MSM) was developed in 2006. The MSM provides usual food intake distributions from individual short-term estimates by combining the probability and the amount of consumption with incorporation of covariates into the modeling part. Habitual consumption frequency information may be used in 2 ways: first, to distinguish true nonconsumers from occasional nonconsumers in short-term measurements and second, as a covariate in the statistical model. The MSM is therefore able to calculate estimates for occasional nonconsumers. External information on the proportion of nonconsumers of a food can also be handled by the MSM. As a proof-of-concept, we applied the MSM to a data set from the European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam Calibration Study (2004) comprising 393 participants who completed two 24-h dietary recalls and one FFQ. Usual intake distributions were estimated for 38 food groups with a proportion of nonconsumers > 70% in the 24-h dietary recalls. The intake estimates derived by the MSM corresponded with the observed values such as the group mean. This study shows that the MSM is a useful and applicable statistical technique to estimate usual food intake distributions, if at least 2 repeated measurements per participant are available, even for food groups with a sizeable percentage of nonconsumers. J. Nutr. 141: 914-920, 2011.