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A Dietary Feedback System for the Delivery of Consistent Personalized Dietary Advice in the Web-Based Multicenter Food4Me Study

机译:基于Web的Multicenter Food4Me研究中提供一致的个性化饮食建议的饮食反馈系统

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Background: Despite numerous healthy eating campaigns, the prevalence of diets high in saturated fatty acids, sugar, and salt and low in fiber, fruit, and vegetables remains high. With more people than ever accessing the Internet, Web-based dietary assessment instruments have the potential to promote healthier dietary behaviors via personalized dietary advice.Objective: The objectives of this study were to develop a dietary feedback system for the delivery of consistent personalized dietary advice in a multicenter study and to examine the impact of automating the advice system.Methods: The development of the dietary feedback system included 4 components: (1) designing a system for categorizing nutritional intakes; (2) creating a method for prioritizing 3 nutrient-related goals for subsequent targeted dietary advice; (3) constructing decision tree algorithms linking data on nutritional intake to feedback messages; and (4) developing personal feedback reports. The system was used manually by researchers to provide personalized nutrition advice based on dietary assessment to 369 participants during the Food4Me randomized controlled trial, with an automated version developed on completion of the study.Results: Saturated fatty acid, salt, and dietary fiber were most frequently selected as nutrient-related goals across the 7 centers. Average agreement between the manual and automated systems, in selecting 3 nutrient-related goals for personalized dietary advice across the centers, was highest for nutrient-related goals 1 and 2 and lower for goal 3, averaging at 92%, 87%, and 63%, respectively. Complete agreement between the 2 systems for feedback advice message selection averaged at 87% across the centers.Conclusions: The dietary feedback system was used to deliver personalized dietary advice within a multi-country study. Overall, there was good agreement between the manual and automated feedback systems, giving promise to the use of automated systems for personalizing dietary advice.Trial Registration: Clinicaltrials.gov NCT01530139; https://clinicaltrials.gov/ct2/show/NCT01530139 (Archived by WebCite at http://www.webcitation.org/6ht5Dgj8I)
机译:背景:尽管开展了许多健康的饮食运动,但饱和脂肪酸,糖和盐含量高而纤维,水果和蔬菜含量低的饮食仍然很高。随着越来越多的人访问互联网,基于Web的饮食评估工具具有通过个性化饮食建议促进健康饮食行为的潜力。目的:本研究的目的是开发一种饮食反馈系统,以提供一致的个性化饮食建议方法:饮食反馈系统的开发包括四个组成部分:(1)设计一个用于对营养摄入量进行分类的系统;在一个多中心研究中,并研究自动化建议系统的影响。 (2)创建一种方法,优先考虑3种与营养有关的目标,以便随后进行有针对性的饮食建议; (3)建立决策树算法,将营养摄入量数据与反馈消息联系起来; (4)制定个人反馈报告。研究人员手动使用该系统,在Food4Me随机对照试验期间,根据饮食评估为369名参与者提供个性化的营养建议,并在研究完成时开发了自动版本。结果:饱和脂肪酸,盐和膳食纤维含量最高通常被选为7个中心的营养相关目标。在各个中心选择3个营养相关目标进行个性化饮食建议时,手动系统和自动化系统之间的平均协议对于营养相关目标1和2最高,而对于目标3较低,分别为92%,87%和63 %, 分别。两个中心之间反馈建议信息选择的系统之间的完全协议平均为87%。结论:饮食反馈系统用于在多国研究中提供个性化的饮食建议。总体而言,手动和自动反馈系统之间达成了良好的协议,这为使用自动化系统个性化饮食建议提供了希望。试验注册:Clinicaltrials.gov NCT01530139; https://clinicaltrials.gov/ct2/show/NCT01530139(由WebCite存档,网址为http://www.webcitation.org/6ht5Dgj8I)

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