视角:用于国家健康和营养监测及相关研究的母乳成分及相关数据。

Jaspreet K C Ahuja, Kellie O Casavale, Ying Li, Kathryn E Hopperton, Subhadeep Chakrabarti, Erin P Hines, Stephen P J Brooks, Genevieve S Bondy, Amanda J MacFarlane, Hope A Weiler, Xianli Wu, Michael M Borghese, Namanjeet Ahluwalia, Winnie Cheung, Ashley J Vargas, Sonia Arteaga, Tania Lombo, Mandy M Fisher, Deborah Hayward, Pamela R Pehrsson
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引用次数: 0

摘要

国家健康和营养监测是美国和加拿大联邦的一项重要工作,也是其许多营养和健康政策的基础。由于缺乏有关母乳成分和摄入量的最新代表性数据,人们仍然无法了解儿童通过母乳(HM)所摄入的营养。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)和摄入量数据、母乳中潜在措施的类别以及相关的变异因素。在本《视角》中,我们主张为国家健康与营养监测和计划需求建立一个收集和报告 HMC 数据的框架,包括建立一个公开可用的母乳成分数据存储库(HMCD-R)的共同愿景,其中包括与 HMC 相关的基本元数据。HMCD-R 可为研究人员和公共卫生官员提供一个中央综合平台,用于汇编、评估和共享 HMC 数据。HMCD-R 中汇编的成分和元数据将提供中心倾向和变异性的相关测量方法,并允许使用建模技术来近似估计亚组的成分概况,从而为监测和监视目的提供更准确的暴露评估。HMC 和相关元数据有助于了解 HM 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重要数据,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。
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Perspective: Human Milk Composition and Related Data for National Health and Nutrition Monitoring and Related Research.

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.

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