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对用于估计摄入量研究中确定膳食多酚摄入量的食物成分工具的系统评价。

A systematic review of food composition tools used for determining dietary polyphenol intake in estimated intake studies.

作者信息

Probst Yasmine, Guan Vivienne, Kent Katherine

机构信息

School of Medicine, Faculty of Science, Medicine and Health, University of Wollongong, Wollongong, NSW 2522, Australia; Illawarra Health and Medical Research Institute, Wollongong, NSW 2522, Australia.

出版信息

Food Chem. 2018 Jan 1;238:146-152. doi: 10.1016/j.foodchem.2016.11.010. Epub 2016 Nov 3.

Abstract

Translating food intake data into phytochemical outcomes is a crucial step in investigating potential health benefits. The aim of this review was to examine the tools for determining dietary-derived polyphenol intakes for estimated intake studies. Published studies from 2004 to 2014 reporting polyphenol food composition information were sourced with 157 studies included. Six polyphenol subclasses were identified. One quarter of studies (n=39) reported total flavonoids intake with 27% reporting individual flavonoid compounds. Assessing multiple compounds was common with approximately 10% of studies assessing seven (n=13), six (n=12) and five (n=14) subclasses of polyphenol. There was no pattern between reported flavonoids compounds and subclass studied. Approximately 60% of studies relied on publicly accessible food composition data to estimate dietary polyphenols intake with 33% using two or more tools. This review highlights the importance of publicly accessible composition databases for estimating polyphenol intake and provides a reference for tools available globally.

摘要

将食物摄入数据转化为植物化学物质结果是研究潜在健康益处的关键一步。本综述的目的是研究用于估计摄入量研究中确定膳食来源多酚摄入量的工具。我们收集了2004年至2014年发表的报告多酚食物成分信息的研究,共纳入157项研究。确定了六个多酚亚类。四分之一的研究(n = 39)报告了总黄酮摄入量,27%的研究报告了单个黄酮类化合物的摄入量。评估多种化合物很常见,约10%的研究评估了七种(n = 13)、六种(n = 12)和五种(n = 14)多酚亚类。报告的黄酮类化合物与所研究的亚类之间没有规律。约60%的研究依靠公开可得的食物成分数据来估计膳食多酚摄入量,33%的研究使用了两种或更多工具。本综述强调了公开可得的成分数据库对估计多酚摄入量的重要性,并为全球可用的工具提供了参考。

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