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一种新的基于证据的饮食评分方法,用于捕捉食物消费与慢性病风险的关联。

A New Evidence-Based Diet Score to Capture Associations of Food Consumption and Chronic Disease Risk.

机构信息

Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, 14558 Nuthetal, Germany.

NutriAct Competence Cluster Nutrition Research Berlin-Potsdam, 14558 Nuthetal, Germany.

出版信息

Nutrients. 2022 Jun 6;14(11):2359. doi: 10.3390/nu14112359.

Abstract

Previously, the attempt to compile German dietary guidelines into a diet score was predominantly not successful with regards to preventing chronic diseases in the EPIC-Potsdam study. Current guidelines were supplemented by the latest evidence from systematic reviews and expert papers published between 2010 and 2020 on the prevention potential of food groups on chronic diseases such as type 2 diabetes, cardiovascular diseases and cancer. A diet score was developed by scoring the food groups according to a recommended low, moderate or high intake. The relative validity and reliability of the diet score, assessed by a food frequency questionnaire, was investigated. The consideration of current evidence resulted in 10 key food groups being preventive of the chronic diseases of interest. They served as components in the diet score and were scored from 0 to 1 point, depending on their recommended intake, resulting in a maximum of 10 points. Both the reliability (r = 0.53) and relative validity (r = 0.43) were deemed sufficient to consider the diet score as a stable construct in future investigations. This new diet score can be a promising tool to investigate dietary intake in etiological research by concentrating on 10 key dietary determinants with evidence-based prevention potential for chronic diseases.

摘要

先前,在 EPIC-Potsdam 研究中,尝试将德国膳食指南编纂成膳食评分来预防慢性病的努力主要没有成功。当前的指南通过系统评价和 2010 年至 2020 年期间发表的专家论文中的最新证据得到了补充,这些证据涉及食物组对 2 型糖尿病、心血管疾病和癌症等慢性病的预防潜力。膳食评分通过根据推荐的低、中或高摄入量对食物组进行评分来制定。通过食物频率问卷评估了膳食评分的相对有效性和可靠性。考虑到当前的证据,确定了 10 种关键食物组可以预防感兴趣的慢性病。它们作为膳食评分的组成部分,根据其推荐摄入量得分为 0 到 1 分,最高得分为 10 分。膳食评分的可靠性(r = 0.53)和相对有效性(r = 0.43)都被认为足以在未来的研究中认为该膳食评分是一个稳定的结构。这个新的膳食评分可以成为一种有前途的工具,通过关注具有循证预防慢性病潜力的 10 种关键饮食决定因素,在病因学研究中调查饮食摄入情况。

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