Increasing the availability and utilization of reliable data on population micronutrient (MN) status globally: the MN Data Generation Initiative.

Increasing the availability and utilization of reliable data on population micronutrient (MN) status globally: the MN Data Generation Initiative.
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DOI:
10.1093/ajcn/nqab173
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发表时间:
2021-09-01
期刊:
The American journal of clinical nutrition
影响因子:
--
通讯作者:
Osendarp SJM
Osendarp SJM
中科院分区:
其他
文献类型:
--
作者:
Brown KH;Moore SE;Hess SY;McDonald CM;Jones KS;Meadows SR;Manger MS;Coates J;Alayon S;Osendarp SJM

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微量营养素(MN)缺乏会产生广泛的不良健康和功能结果。低收入和中等收入国家的学龄前儿童和育龄妇女受这些缺陷的影响最大,但由于缺乏关于人口MN状态的可靠生物标志物信息,这些问题及其相关疾病负担的真实程度仍然不确定。缺乏信息的原因包括:决策者对MN对人类健康的重要性以及MN状况信息对方案规划和管理的有用性认识有限;宣传这一信息以及设计和实施相关MN状况调查的专业能力不足;标本采集、运输、储存和实验室分析的成本高且后勤限制;难以获得设备和人员配备充足的实验室,无法可靠地完成分析;解释和应用这些信息进行公共卫生方案设计和评估的能力不足。本报告介绍了数据可用性方面的现状、缺乏相关信息的原因以及纠正这种情况所需的步骤,包括实施一项由多个组成部分组成的MN数据生成举措,以倡导关键数据收集并提供相关技术援助、实验室服务、专业培训和财政支持。
Micronutrient (MN) deficiencies can produce a broad array of adverse health and functional outcomes. Young, preschool children and women of reproductive age in low- and middle-income countries are most affected by these deficiencies, but the true magnitude of the problems and their related disease burdens remain uncertain because of the dearth of reliable biomarker information on population MN status. The reasons for this lack of information include a limited understanding by policy makers of the importance of MNs for human health and the usefulness of information on MN status for program planning and management; insufficient professional capacity to advocate for this information and design and implement related MN status surveys; high costs and logistical constraints involved in specimen collection, transport, storage, and laboratory analyses; poor access to adequately equipped and staffed laboratories to complete the analyses reliably; and inadequate capacity to interpret and apply this information for public health program design and evaluation. This report describes the current situation with regard to data availability, the reasons for the lack of relevant information, and the steps needed to correct this situation, including implementation of a multi-component MN Data Generation Initiative to advocate for critical data collection and provide related technical assistance, laboratory services, professional training, and financial support.
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