Literature DB >> 26032731

Personalised nutrition: the role of new dietary assessment methods.

Hannah Forster1, Marianne C Walsh1, Michael J Gibney1, Lorraine Brennan1, Eileen R Gibney1.   

Abstract

Food records or diaries, dietary recalls and FFQ are methods traditionally used to measure dietary intake; however, advancing technologies and growing awareness in personalised health have heightened interest in the application of new technologies to assess dietary intake. Dietary intake data can be used in epidemiology, dietary interventions and in the delivery of personalised nutrition advice. Compared with traditional dietary assessment methods, new technologies have many advantages, including their ability to automatically process data and provide personalised dietary feedback advice. This review examines the new technologies presently under development for the assessment of dietary intakes, and their utilisation and efficacy for personalising dietary advice. New technology-based methods of dietary assessment can broadly be categorised into three key areas: online (web-based) methods, mobile methods and sensor technologies. Several studies have demonstrated that utilising new technologies to provide tailored advice can result in positive dietary changes and have a significant impact on selected nutrient and food group intakes. However, comparison across studies indicates that the magnitude of change is variable and may be influenced by several factors, including the frequency and type of feedback provided. Future work should establish the most effective combinations of these factors in facilitating dietary changes across different population groups.

Entities:  

Keywords:  FFQ; PDA personal digital assistant; app application; Diet; Dietary assessment; Dietary feedback; Food habits; Personalised nutrition

Year:  2015        PMID: 26032731     DOI: 10.1017/S0029665115002086

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


  18 in total

1.  Alcohol and dietary factors associate with gut integrity and inflammation in HIV-infected adults.

Authors:  A R Webel; A Sattar; N T Funderburg; B Kinley; C T Longenecker; D Labbato; Sm Khurshid Alam; G A McComsey
Journal:  HIV Med       Date:  2016-11-09       Impact factor: 3.180

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

Review 3.  Scaling up Dietary Data for Decision-Making in Low-Income Countries: New Technological Frontiers.

Authors:  Winnie Bell; Brooke A Colaiezzi; Cathleen S Prata; Jennifer C Coates
Journal:  Adv Nutr       Date:  2017-11-15       Impact factor: 8.701

4.  Designing Health Apps to Support Dietetic Professional Practice and Their Patients: Qualitative Results From an International Survey.

Authors:  Juliana Chen; Jessica Lieffers; Adrian Bauman; Rhona Hanning; Margaret Allman-Farinelli
Journal:  JMIR Mhealth Uhealth       Date:  2017-03-31       Impact factor: 4.773

Review 5.  Personalised Interventions-A Precision Approach for the Next Generation of Dietary Intervention Studies.

Authors:  Baukje de Roos; Lorraine Brennan
Journal:  Nutrients       Date:  2017-08-09       Impact factor: 5.717

6.  Traditional methods v. new technologies - dilemmas for dietary assessment in large-scale nutrition surveys and studies: a report following an international panel discussion at the 9th International Conference on Diet and Activity Methods (ICDAM9), Brisbane, 3 September 2015.

Authors:  B Amoutzopoulos; T Steer; C Roberts; J E Cade; C J Boushey; C E Collins; E Trolle; E J de Boer; N Ziauddeen; C van Rossum; E Buurma; D Coyle; P Page
Journal:  J Nutr Sci       Date:  2018-04-02

7.  Limitations of Existing Dialysis Diet Apps in Promoting User Engagement and Patient Self-Management: Quantitative Content Analysis Study.

Authors:  Jun-Hao Lim; Zulfitri Azuan Mat Daud; Cordelia-Kheng-May Lim; Imliya Ibrahim; Jazlina Syahrul; Mohd Hazli Mohamed Zabil; Nor Fadhlina Zakaria
Journal:  JMIR Mhealth Uhealth       Date:  2020-06-01       Impact factor: 4.773

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

Authors:  Hannah Forster; Marianne C Walsh; Clare B O'Donovan; Clara Woolhead; Caroline McGirr; E J Daly; Richard O'Riordan; Carlos Celis-Morales; Rosalind Fallaize; Anna L Macready; Cyril F M Marsaux; Santiago Navas-Carretero; Rodrigo San-Cristobal; Silvia Kolossa; Kai Hartwig; Christina Mavrogianni; Lydia Tsirigoti; Christina P Lambrinou; Magdalena Godlewska; Agnieszka Surwiłło; Ingrid Merethe Fange Gjelstad; Christian A Drevon; Yannis Manios; Iwona Traczyk; J Alfredo Martinez; Wim H M Saris; Hannelore Daniel; Julie A Lovegrove; John C Mathers; Michael J Gibney; Eileen R Gibney; Lorraine Brennan
Journal:  J Med Internet Res       Date:  2016-06-30       Impact factor: 5.428

9.  Accuracy of Automatic Carbohydrate, Protein, Fat and Calorie Counting Based on Voice Descriptions of Meals in People with Type 1 Diabetes.

Authors:  Piotr Ladyzynski; Janusz Krzymien; Piotr Foltynski; Monika Rachuta; Barbara Bonalska
Journal:  Nutrients       Date:  2018-04-21       Impact factor: 5.717

Review 10.  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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.