Hooper Lee, Ashton Kate, Harvey Linda J, Decsi Tamás, Fairweather-Tait Susan J
School of Medicine, Health Policy and Practice, University of East Anglia, Norwich, United Kingdom.
Am J Clin Nutr. 2009 Jun;89(6):1953S-1959S. doi: 10.3945/ajcn.2009.27230A. Epub 2009 Apr 29.
To explore the relation between micronutrient status and health, it is important to understand which markers of micronutrient status can be relied on and under what circumstances.
The objective of this article was to develop a common systematic review methodology for use in the assessment of micronutrient status for selenium, iodine, copper, zinc, riboflavin, vitamin B-12, vitamin D, and omega-3 (n-3) long-chain polyunsaturated fatty acids.
We developed a methodology on the basis of defining studies that clearly altered micronutrient status and then pooled data on the effects of this intervention on each specific biomarker to assess objectively the response of various status markers to changes in intake.
The generic methodology included defining, and systematically searching for, studies that resulted in a change in micronutrient status. Study inclusion, data extraction, and assessment of validity were conducted with a minimum of 10% independent duplication. For each study and each potential biomarker, the highest dose and longest duration intervention data were selected to assess the statistical significance of any change in intake on the status biomarker. The consistency of biomarker response was explored by subgrouping the studies according to baseline micronutrient status, sex, population group, supplementation type, dose, duration, and analytic method.
This methodology allows systematic assessment of the usefulness of a number of biomarkers for a selection of micronutrients.
为了探究微量营养素状况与健康之间的关系，了解哪些微量营养素状况指标是可靠的以及在何种情况下可靠非常重要。
本文的目的是开发一种通用的系统评价方法，用于评估硒、碘、铜、锌、核黄素、维生素B-12、维生素D和ω-3（n-3）长链多不饱和脂肪酸的微量营养素状况。
我们基于定义明确改变微量营养素状况的研究来开发一种方法，然后汇总关于这种干预对每种特定生物标志物影响的数据，以客观评估各种状况指标对摄入量变化的反应。
通用方法包括定义并系统搜索导致微量营养素状况改变的研究。研究纳入、数据提取和有效性评估至少有10%的独立重复。对于每项研究和每种潜在的生物标志物，选择最高剂量和最长持续时间的干预数据来评估摄入量变化对状况生物标志物的任何改变的统计学意义。根据基线微量营养素状况、性别、人群组、补充类型、剂量、持续时间和分析方法对研究进行亚组划分，以探讨生物标志物反应的一致性。
这种方法能够系统地评估多种生物标志物对多种微量营养素的有用性。
