Office of Disease Prevention and Health Promotion, US Department of Health and Human Services, Rockville, MD, USA.
Nutrient Data Laboratory, Beltsville Human Nutrition Research Center, Agricultural Research Service, US Department of Agriculture, Beltsville, MD, USA.
Am J Clin Nutr. 2019 Sep 1;110(3):769-779. doi: 10.1093/ajcn/nqz123.
Nationally representative data from mother-child dyads that capture human milk composition (HMC) and associated health outcomes are important for advancing the evidence to inform federal nutrition and related health programs, policies, and consumer information across the governments in the United States and Canada as well as in nongovernment sectors. In response to identified gaps in knowledge, the National Institute of Diabetes and Digestive and Kidney Diseases of the NIH sponsored the "Workshop on Human Milk Composition-Biological, Environmental, Nutritional, and Methodological Considerations" held 16-17 November 2017 in Bethesda, Maryland. Through presentations and discussions, the workshop aimed to 1) share knowledge on the scientific need for data on HMC; 2) explore the current understanding of factors affecting HMC; 3) identify methodological challenges in human milk (HM) collection, storage, and analysis; and 4) develop a vision for a research program to develop an HMC data repository and database. The 4 workshop sessions included 1) perspectives from both federal agencies and nonfederal academic experts, articulating scientific needs for data on HMC that could lead to new research findings and programmatic advances to support public health; 2) information about the factors that influence lactation and/or HMC; 3) considerations for data quality, including addressing sampling strategies and the complexities in standardizing collection, storage, and analyses of HM; and 4) insights on how existing research programs and databases can inform potential visions for HMC initiatives. The general consensus from the workshop is that the limited scope of HM research initiatives has led to a lack of robust estimates of the composition and volume of HM consumed and, consequently, missed opportunities to improve maternal and infant health.
从母婴对子中获取人乳成分 (HMC) 和相关健康结果的全国代表性数据对于推进证据非常重要,这些证据可以为美国和加拿大政府以及非政府部门的联邦营养和相关健康计划、政策和消费者信息提供信息。为了应对知识差距,美国国立卫生研究院的国家糖尿病、消化和肾脏疾病研究所赞助了“人乳成分——生物、环境、营养和方法考虑因素”研讨会,该研讨会于 2017 年 11 月 16 日至 17 日在马里兰州贝塞斯达举行。通过演讲和讨论,研讨会旨在:1)分享关于 HMC 数据科学需求的知识;2)探讨影响 HMC 的因素的现有理解;3)确定 HM 收集、储存和分析方法学的挑战;4)为开发 HMC 数据存储库和数据库的研究计划制定愿景。4 个研讨会包括:1)联邦机构和非联邦学术专家的观点,阐述了关于 HMC 数据的科学需求,这些数据可能会带来新的研究发现和计划进展,以支持公共卫生;2)关于影响哺乳和/或 HMC 的因素的信息;3)数据质量的考虑因素,包括解决抽样策略以及标准化 HM 收集、储存和分析的复杂性;4)关于现有研究计划和数据库如何为 HMC 计划的潜在愿景提供信息的见解。研讨会的普遍共识是,HM 研究计划的范围有限导致对人乳消耗的组成和数量的估计缺乏稳健,因此错失了改善母婴健康的机会。