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利用智能手机在全球大流行时期实现个性化营养。

Harnessing SmartPhones to Personalize Nutrition in a Time of Global Pandemic.

机构信息

Immunology Department, Weizmann Institute of Science, Rehovot 7610001, Israel.

The Sackler Faculty of Medicine, Tel-Aviv University, Tel Aviv 6997801, Israel.

出版信息

Nutrients. 2021 Jan 28;13(2):422. doi: 10.3390/nu13020422.

Abstract

The soar in COVID-19 cases around the globe has forced many to adapt to social distancing and self-isolation. In order to reduce contact with healthcare facilities and other patients, the CDC has advocated the use of telemedicine, i.e., electronic information and telecommunication technology. While these changes may disrupt normal behaviors and routines and induce anxiety, resulting in decreased vigilance to healthy diet and physical activity and reluctance to seek medical attention, they may just as well be circumvented using modern technology. Indeed, as the beginning of the pandemic a plethora of alternatives to conventional physical interactions were introduced. In this Perspective, we portray the role of SmartPhone applications (apps) in monitoring healthy nutrition, from their basic functionality as food diaries required for simple decision-making and nutritional interventions, through more advanced purposes, such as multi-dimensional data-mining and development of machine learning algorithms. Finally, we will delineate the emerging field of personalized nutrition and introduce pioneering technologies and concepts yet to be incorporated in SmartPhone-based dietary surveillance.

摘要

全球 COVID-19 病例的飙升迫使许多人不得不适应社交距离和自我隔离。为了减少与医疗机构和其他患者的接触,疾病预防控制中心提倡使用远程医疗,即电子信息和电信技术。虽然这些变化可能会扰乱正常的行为和常规,并引起焦虑,导致对健康饮食和体育活动的警惕性降低,不愿意寻求医疗,但是现代技术可能会规避这些变化。事实上,在疫情开始时,就引入了大量传统身体互动的替代方案。在这篇观点文章中,我们描述了智能手机应用程序(apps)在监测健康营养方面的作用,从作为简单决策和营养干预所需的食物日记的基本功能,到更高级的用途,如多维数据挖掘和机器学习算法的开发。最后,我们将描绘个性化营养的新兴领域,并介绍基于智能手机的饮食监测中尚未采用的开创性技术和概念。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e902/7911023/fa9a4f54303b/nutrients-13-00422-g001.jpg

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