Literature DB >> 27976605

Measuring diet in the 21st century: use of new technologies.

Janet E Cade1.   

Abstract

The advent of the internet and smartphone technology has allowed dietary assessment to reach the 21st century! The variety of foods available on the supermarket shelf is now greater than ever before. New approaches to measuring diet may help to reduce measurement error and advance our understanding of nutritional determinants of disease. This advance provides the potential to capture detailed dietary data on large numbers of individuals without the need for costly and time-consuming manual nutrition coding. This aim of the present paper is to review the need for new technologies to measure diet with an overview of tools available. The three main areas will be addressed: (1) development of web-based tools to measure diet; (2) use of smartphone apps to self-monitor diet; (3) improving the quality of dietary assessment through development of an online library of tools. A practical example of the development of a web-based tool to assess diet myfood24 (www.myfood24.org) will be given exploring its potential, limitations and challenges. The development of a new food composition database using back-of-pack information will be described. Smartphone apps used to measure diet with a focus on obesity will be reviewed. Many apps are unreliable in terms of tracking, and most are not evaluated. Accurate and consistent measurement of diet is needed for public health and epidemiology. The choice of the most appropriate dietary assessment method tends to rely on experience. The DIET@NET partnership has developed best practice guidelines for selection of dietary assessment tools, which aim to improve the quality, consistency and comparability of dietary data. These developments provide us with a step-change in our ability to reliably characterise food and nutrient intake in population studies. The need for high-quality, validated systems will be important to fully realise the benefits of new technologies.

Entities:  

Keywords:  Diet; Internet; Nutrition assessment; Nutritional epidemiology

Mesh:

Year:  2016        PMID: 27976605     DOI: 10.1017/S0029665116002883

Source DB:  PubMed          Journal:  Proc Nutr Soc        ISSN: 0029-6651            Impact factor:   6.297


  27 in total

Review 1.  Proceedings from the 2018 Association for Chemoreception Annual Meeting Symposium: Bariatric Surgery and Its Effects on Taste and Food Selection.

Authors:  Alan C Spector; Natasha Kapoor; Ruth K Price; M Yanina Pepino; M Barbara E Livingstone; Carel W Le Roux
Journal:  Chem Senses       Date:  2019-03-11       Impact factor: 3.160

2.  Perspective: Opportunities and Challenges of Technology Tools in Dietary and Activity Assessment: Bridging Stakeholder Viewpoints.

Authors:  Sai Krupa Das; Akari J Miki; Caroline M Blanchard; Edward Sazonov; Cheryl H Gilhooly; Sujit Dey; Colton B Wolk; Chor San H Khoo; James O Hill; Robin P Shook
Journal:  Adv Nutr       Date:  2022-02-01       Impact factor: 11.567

3.  Nutritional Intake and Training Load of Professional Female Football Players during a Mid-Season Microcycle.

Authors:  César Leão; António Pedro Mendes; Catarina Custódio; Mafalda Ng; Nuno Ribeiro; Nuno Loureiro; João Pedro Araújo; José Afonso; Sílvia Rocha-Rodrigues; Francisco Tavares
Journal:  Nutrients       Date:  2022-05-21       Impact factor: 6.706

Review 4.  Leveraging Observational Cohorts to Study Diet and Nutrition in Older Adults: Opportunities and Obstacles.

Authors:  M Kyla Shea; Andres V Ardisson Korat; Paul F Jacques; Paola Sebastiani; Rebecca Cohen; Amy E LaVertu; Sarah L Booth
Journal:  Adv Nutr       Date:  2022-10-02       Impact factor: 11.567

Review 5.  How Sensors Might Help Define the External Exposome.

Authors:  Miranda Loh; Dimosthenis Sarigiannis; Alberto Gotti; Spyros Karakitsios; Anjoeka Pronk; Eelco Kuijpers; Isabella Annesi-Maesano; Nour Baiz; Joana Madureira; Eduardo Oliveira Fernandes; Michael Jerrett; John W Cherrie
Journal:  Int J Environ Res Public Health       Date:  2017-04-18       Impact factor: 3.390

6.  Rethinking the Use of Mobile Apps for Dietary Assessment in Medical Research.

Authors:  Wael Khazen; Florent Schäfer; Guy Fagherazzi; Jean-François Jeanne; Laëtitia Demaretz
Journal:  J Med Internet Res       Date:  2020-06-18       Impact factor: 5.428

7.  Evaluation of PIQNIQ, a Novel Mobile Application for Capturing Dietary Intake.

Authors:  Caroline M Blanchard; Meghan K Chin; Cheryl H Gilhooly; Kathryn Barger; Gregory Matuszek; Akari J Miki; Richard G Côté; Alison L Eldridge; Hilary Green; Fabio Mainardi; Damian Mehers; Frédéric Ronga; Vera Steullet; Sai Krupa Das
Journal:  J Nutr       Date:  2021-05-11       Impact factor: 4.798

8.  Empirically Derived Dietary Patterns in UK Adults Are Associated with Sociodemographic Characteristics, Lifestyle, and Diet Quality.

Authors:  Katharine Roberts; Janet Cade; Jeremy Dawson; Michelle Holdsworth
Journal:  Nutrients       Date:  2018-02-06       Impact factor: 5.717

Review 9.  Current Developments in Digital Quantitative Volume Estimation for the Optimisation of Dietary Assessment.

Authors:  Wesley Tay; Bhupinder Kaur; Rina Quek; Joseph Lim; Christiani Jeyakumar Henry
Journal:  Nutrients       Date:  2020-04-22       Impact factor: 5.717

10.  Developing a Heart Transplantation Self-Management Support Mobile Health App in Taiwan: Qualitative Study.

Authors:  Yi-Wen Chen; Jeng Wei; Hwei-Ling Chen; Ching-Hui Cheng; I-Ching Hou
Journal:  JMIR Mhealth Uhealth       Date:  2020-08-19       Impact factor: 4.773

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.