Carriquiry A L
Department of Statistics, Iowa State University, Ames 50011-1210, USA.
Public Health Nutr. 1999 Mar;2(1):23-33. doi: 10.1017/s1368980099000038.
To describe an approach for assessing the prevalence of nutrient inadequacy in a group, using daily intake data and the new Estimated Average Requirement (EAR).
Observing the proportion of individuals in a group whose usual intake of a nutrient is below their requirement for the nutrient is not possible in general. We argue that this proportion can be well approximated in many cases by counting, instead, the number of individuals in the group whose intakes are below the EAR for the nutrient.
This is a methodological paper, and thus emphasis is not on analysing specific data sets. For illustration of one of the statistical methods presented herein, we have used the 1989-91 Continuing Survey on Food Intakes by Individuals.
We show that the EAR and a reliable estimate of the usual intake distribution in the group of interest can be used to assess the proportion of individuals in the group whose usual intakes are not meeting their requirements. This approach, while simple, does not perform well in every case. For example, it cannot be used on energy, since intakes and requirements for energy are highly correlated. Similarly, iron in menstruating women presents some difficulties, due to the fact that the distribution of iron requirements in this group is known to be skewed.
The apparently intractable problem of assessing the proportion of individuals in a group whose usual intakes of a nutrient are not meeting their requirements can be solved by comparing usual intakes to the EAR for the nutrient, as long as some conditions are met. These are: (1) intakes and requirements for the nutrient must be independent, (2) the distribution of requirements must be approximately symmetric around its mean, the EAR, and (3) the variance of the distribution of requirements should be smaller than the variance of the usual intake distribution.
描述一种利用每日摄入量数据和新的估计平均需求量(EAR)来评估某群体中营养素摄入不足患病率的方法。
一般来说,观察群体中个体营养素通常摄入量低于其需求量的比例是不可能的。我们认为,在许多情况下,通过计算群体中摄入量低于该营养素EAR的个体数量,可以很好地近似这个比例。
这是一篇方法学论文,因此重点不在于分析特定数据集。为了说明本文提出的一种统计方法,我们使用了1989 - 1991年个人食物摄入量持续调查的数据。
我们表明,EAR和对感兴趣群体中通常摄入量分布的可靠估计可用于评估该群体中通常摄入量未达需求的个体比例。这种方法虽然简单,但并非在所有情况下都表现良好。例如,它不能用于能量评估,因为能量的摄入量和需求量高度相关。同样,由于已知该群体中铁需求量的分布存在偏差,月经期中女性的铁评估存在一些困难。
评估群体中个体营养素通常摄入量未达需求比例这一明显棘手的问题,只要满足一些条件,就可以通过将通常摄入量与该营养素的EAR进行比较来解决。这些条件是:(1)营养素的摄入量和需求量必须相互独立;(2)需求量的分布必须围绕其均值EAR近似对称;(3)需求量分布的方差应小于通常摄入量分布的方差。