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证据图谱评估膳食纤维、全谷物与健康相关研究的现状。

Evidence mapping to assess the available research on fiber, whole grains, and health.

机构信息

Nutritional Epidemiology Program at the Jean Mayer USDA Human Nutrition Research Center on Aging at Tufts University, Boston, Massachusetts, USA.

Global Scientific and Regulatory Affairs, General Mills, Inc., Minneapolis, Minnesota, USA.

出版信息

Nutr Rev. 2020 Aug 1;78(Suppl 1):37-42. doi: 10.1093/nutrit/nuz062.

Abstract

Evidence mapping is a useful methodology for characterizing existing research on a broad topic and identifying gaps in the scientific literature. Evidence mapping entails conducting a systematic literature search and extracting information on study details, often in the form of a database. Researchers at Tufts University and the North American branch of the International Life Sciences Institute created the Diet-Related Fibers & Human Health Outcomes Database, which is publicly available and updated annually. The database captures intervention studies examining dietary fiber and 10 predefined physiological health outcomes, including weight/adiposity, blood pressure, gut microbiota, and bone health. The database and subsequent potential for evidence mapping may be particularly useful in light of new food labeling requirements by the US Food and Drug Administration that require fibers to have accepted scientific evidence of a physiological health benefit in order to be labeled as "dietary fiber." Following the success of the fiber database, Tufts University and the General Mills Bell Institute of Health and Nutrition collaborated to develop a whole grain database and evidence map. This work successfully highlighted the need for better consistency in how whole grains are reported with respect to amount and type of whole grains and intervention compliance.

摘要

证据图谱是一种有用的方法学,可以用于描述广泛主题的现有研究,并确定科学文献中的空白。证据图谱需要进行系统的文献检索,并提取关于研究细节的信息,通常以数据库的形式呈现。塔夫茨大学和北美国际生命科学研究所的研究人员创建了饮食相关纤维与人类健康结果数据库,该数据库可供公众使用并每年更新。该数据库捕获了干预研究,研究膳食纤维和 10 个预先定义的生理健康结果,包括体重/肥胖、血压、肠道微生物群和骨骼健康。鉴于美国食品和药物管理局(FDA)新的食品标签要求,膳食纤维必须具有被接受的生理健康益处的科学证据,才能被标记为“膳食纤维”,因此该数据库及其后续进行证据图谱的潜力可能特别有用。在纤维数据库取得成功之后,塔夫茨大学和通用磨坊贝尔营养研究所合作开发了一个全谷物数据库和证据图谱。这项工作成功地强调了需要更好地一致报告全谷物的数量和类型以及干预措施的遵守情况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1637/7390649/f0d4f61a3692/nuz062f1.jpg

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