Literature DB >> 33525593

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

Niv Zmora1,2,3, Eran Elinav1,4.   

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.

Entities:  

Keywords:  COVID-19; Nutrition app; nutrition; smartphone

Mesh:

Year:  2021        PMID: 33525593      PMCID: PMC7911023          DOI: 10.3390/nu13020422

Source DB:  PubMed          Journal:  Nutrients        ISSN: 2072-6643            Impact factor:   5.717


  66 in total

1.  Application of Machine Learning to Predict Dietary Lapses During Weight Loss.

Authors:  Stephanie P Goldstein; Fengqing Zhang; John G Thomas; Meghan L Butryn; James D Herbert; Evan M Forman
Journal:  J Diabetes Sci Technol       Date:  2018-05-24

2.  Smartphone technology facilitates dietary change in healthy adults.

Authors:  Michelle L Ipjian; Carol S Johnston
Journal:  Nutrition       Date:  2016-08-24       Impact factor: 4.008

3.  Feeding Low-Income Children during the Covid-19 Pandemic.

Authors:  Caroline G Dunn; Erica Kenney; Sheila E Fleischhacker; Sara N Bleich
Journal:  N Engl J Med       Date:  2020-03-30       Impact factor: 91.245

4.  Population flow drives spatio-temporal distribution of COVID-19 in China.

Authors:  Jayson S Jia; Xin Lu; Yun Yuan; Ge Xu; Jianmin Jia; Nicholas A Christakis
Journal:  Nature       Date:  2020-04-29       Impact factor: 49.962

5.  A Smartphone App Reveals Erratic Diurnal Eating Patterns in Humans that Can Be Modulated for Health Benefits.

Authors:  Shubhroz Gill; Satchidananda Panda
Journal:  Cell Metab       Date:  2015-09-24       Impact factor: 27.287

6.  Dietary self-monitoring, but not dietary quality, improves with use of smartphone app technology in an 8-week weight loss trial.

Authors:  Christopher M Wharton; Carol S Johnston; Barbara K Cunningham; Danielle Sterner
Journal:  J Nutr Educ Behav       Date:  2014 Sep-Oct       Impact factor: 3.045

7.  NutriPhone: a mobile platform for low-cost point-of-care quantification of vitamin B12 concentrations.

Authors:  Seoho Lee; Dakota O'Dell; Jess Hohenstein; Susannah Colt; Saurabh Mehta; David Erickson
Journal:  Sci Rep       Date:  2016-06-15       Impact factor: 4.379

8.  Use of a Smartphone Application Can Improve Assessment of High-Fat Food Consumption in Overweight Individuals.

Authors:  Agata Chmurzynska; Monika A Mlodzik-Czyzewska; Anna M Malinowska; Jolanta Czarnocinska; Douglas Wiebe
Journal:  Nutrients       Date:  2018-11-06       Impact factor: 5.717

9.  Rapid isothermal amplification and portable detection system for SARS-CoV-2.

Authors:  Anurup Ganguli; Ariana Mostafa; Jacob Berger; Mehmet Y Aydin; Fu Sun; Sarah A Stewart de Ramirez; Enrique Valera; Brian T Cunningham; William P King; Rashid Bashir
Journal:  Proc Natl Acad Sci U S A       Date:  2020-08-31       Impact factor: 11.205

10.  Changes in Physical Activity and Sedentary Behavior in Response to COVID-19 and Their Associations with Mental Health in 3052 US Adults.

Authors:  Jacob Meyer; Cillian McDowell; Jeni Lansing; Cassandra Brower; Lee Smith; Mark Tully; Matthew Herring
Journal:  Int J Environ Res Public Health       Date:  2020-09-05       Impact factor: 3.390

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  4 in total

1.  Pocketable Labs for Everyone: Synchronized Multi-Sensor Data Streaming and Recording on Smartphones with the Lab Streaming Layer.

Authors:  Sarah Blum; Daniel Hölle; Martin Georg Bleichner; Stefan Debener
Journal:  Sensors (Basel)       Date:  2021-12-05       Impact factor: 3.576

2.  Multi-Device Nutrition Control.

Authors:  Carlos A S Cunha; Rui P Duarte
Journal:  Sensors (Basel)       Date:  2022-03-29       Impact factor: 3.576

3.  What Intervention Elements Drive Weight Loss in Blended-Care Behavior Change Interventions? A Real-World Data Analysis with 25,706 Patients.

Authors:  Felix Schirmann; Philipp Kanehl; Lucy Jones
Journal:  Nutrients       Date:  2022-07-21       Impact factor: 6.706

4.  Validating Accuracy of a Mobile Application against Food Frequency Questionnaire on Key Nutrients with Modern Diets for mHealth Era.

Authors:  Joyce D Kusuma; Hsiao-Ling Yang; Ya-Ling Yang; Zhao-Feng Chen; Shyang-Yun Pamela Koong Shiao
Journal:  Nutrients       Date:  2022-01-26       Impact factor: 5.717

  4 in total

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