Methods and Application of Food Composition Laboratory, Beltsville Human Nutrition Research Center, Agricultural Research Services, US Department of Agriculture, Beltsville, Maryland, USA.
Center for Food Safety and Applied Nutrition, Food and Drug Administration, US Department of Health and Human Services, College Park, Maryland, USA.
Adv Nutr. 2022 Dec 22;13(6):2098-2114. doi: 10.1093/advances/nmac099.
National health and nutrition monitoring is an important federal effort in the United States and Canada, and the basis for many of their nutrition and health policies. Understanding of child exposures through human milk (HM) remains out of reach due to lack of current and representative data on HM's composition and intake volume. This article provides an overview of the current national health and nutrition monitoring activities for HM-fed children, HM composition (HMC) and volume data used for exposure assessment, categories of potential measures in HM, and associated variability factors. In this Perspective, we advocate for a framework for collection and reporting of HMC data for national health and nutrition monitoring and programmatic needs, including a shared vision for a publicly available Human Milk Composition Data Repository (HMCD-R) to include essential metadata associated with HMC. HMCD-R can provide a central, integrated platform for researchers and public health officials for compiling, evaluating, and sharing HMC data. The compiled compositional and metadata in HMCD-R would provide pertinent measures of central tendency and variability and allow use of modeling techniques to approximate compositional profiles for subgroups, providing more accurate exposure assessments for purposes of monitoring and surveillance. HMC and related metadata could facilitate understanding the complexity and variability of HM composition, provide crucial data for assessment of infant and maternal nutritional needs, and inform public health policies, food and nutrition programs, and clinical practice guidelines.
国家健康和营养监测是美国和加拿大的一项重要联邦工作,也是许多营养和健康政策的基础。由于缺乏当前和有代表性的母乳成分和摄入量数据,因此对通过母乳(HM)进行儿童暴露的理解仍然难以实现。本文概述了当前针对母乳喂养儿童的国家健康和营养监测活动、用于暴露评估的母乳成分(HMC)和体积数据、母乳中的潜在措施类别以及相关的可变性因素。在本观点中,我们提倡为国家健康和营养监测以及计划需求收集和报告 HMC 数据制定框架,包括一个共享的公共母乳成分数据存储库(HMCD-R)愿景,其中包括与 HMC 相关的必要元数据。HMCD-R 可以为研究人员和公共卫生官员提供一个集中、综合的平台,用于编译、评估和共享 HMC 数据。HMCD-R 中的编译成分和元数据将提供中心趋势和可变性的相关措施,并允许使用建模技术来近似亚组的成分分布,从而更准确地进行监测和监测目的的暴露评估。HMC 及相关元数据可以帮助理解母乳成分的复杂性和可变性,为评估婴儿和产妇的营养需求提供关键数据,并为公共卫生政策、食品和营养计划以及临床实践指南提供信息。