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NIH workshop on human milk composition: summary and visions

愿景 范围(计算机科学) 数据收集 数据科学 政治学 计算机科学 社会学 社会科学 人类学 程序设计语言
作者
Kellie Casavale,Jaspreet K.C. Ahuja,Xianli Wu,Ying Li,Julia Quam,Randall J. Olson,Pamela Pehrsson,Lindsay H. Allen,Douglas A. Balentine,Manjit Hanspal,Deborah Hayward,Erin P. Hines,James P. McClung,Cria G. Perrine,Mandy B. Belfort,David C. Dallas,Bruce German,Jae Kim,Mark A. McGuire,Shelley McGuire,Ardythe L. Morrow,Margaret C. Neville,Laurie Nommsen‐Rivers,Kathleen M. Rasmussen,Janos Zempleni,Christopher J. Lynch
出处
期刊:The American Journal of Clinical Nutrition [Oxford University Press]
卷期号:110 (3): 769-779 被引量:52
标识
DOI:10.1093/ajcn/nqz123
摘要

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.

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