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评估复杂样本设计调查中的常规膳食摄入量:国家膳食调查。

Assessing usual dietary intake in complex sample design surveys: the National Dietary Survey.

机构信息

Departamento de Nutrição Social, Instituto de Nutrição, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ, Brasil.

出版信息

Rev Saude Publica. 2013 Feb;47 Suppl 1:171S-6S. doi: 10.1590/s0034-89102013000700003.

Abstract

The National Cancer Institute (NCI) method allows the distributions of usual intake of nutrients and foods to be estimated. This method can be used in complex surveys. However, the user must perform additional calculations, such as balanced repeated replication (BRR), in order to obtain standard errors and confidence intervals for the percentiles and mean from the distribution of usual intake. The objective is to highlight adaptations of the NCI method using data from the National Dietary Survey. The application of the NCI method was exemplified analyzing the total energy (kcal) and fruit (g) intake, comparing estimations of mean and standard deviation that were based on the complex design of the Brazilian survey with those assuming simple random sample. Although means point estimates were similar, estimates of standard error using the complex design increased by up to 60% compared to simple random sample. Thus, for valid estimates of food and energy intake for the population, all of the sampling characteristics of the surveys should be taken into account because when these characteristics are neglected, statistical analysis may produce underestimated standard errors that would compromise the results and the conclusions of the survey.

摘要

美国国家癌症研究所(NCI)的方法可以估计营养素和食物的常用摄入量的分布。这种方法可以用于复杂的调查。但是,用户必须执行其他计算,如平衡重复复制(BRR),以便从常用摄入量的分布中获得百分位数和平均值的标准误差和置信区间。本研究的目的是使用来自全国饮食调查的数据来突出 NCI 方法的适应性。通过分析总能量(千卡)和水果(克)的摄入量,应用 NCI 方法,举例说明了使用巴西调查的复杂设计与简单随机抽样相比,基于复杂设计的平均值和标准差的估计。尽管均值点估计相似,但与简单随机抽样相比,复杂设计的标准误差估计增加了高达 60%。因此,为了对人群的食物和能量摄入量进行有效的估计,应该考虑到调查的所有抽样特征,因为当忽略这些特征时,统计分析可能会产生低估的标准误差,从而影响调查的结果和结论。

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