Strategies for online personalised nutrition advice employed in the development of the eNutri web app.
The internet has considerable potential to improve health-related food choice at low-cost. Online solutions in this field can be deployed quickly and at very low cost, especially if they are not dependent on bespoke devices or offline processes such as the provision and analysis of biological sample...
| Publicado en: | Proceedings of the Nutrition Society Vol. 78; no. 3; pp. 407 - 418 |
|---|---|
| Autores principales: | , , , |
| Formato: | Journal Article |
| Publicado: |
Cambridge University Press
Aug2019
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=137931652&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 137931652 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00296651 29M jtl: Proceedings of the Nutrition Society issn: 00296651 maglogo: N pubinfo: dt: Aug2019 vid: 78 iid: 3 pid: 15979 pub: Cambridge University Press artinfo: ui: 137931652 137931652 NLM30560739 10.1017/S0029665118002707 NLM30560739 137931652 ppf: 407 ppct: 11 formats: tig: atl: Strategies for online personalised nutrition advice employed in the development of the eNutri web app. aug: au: Franco, Rodrigo Zenun Fallaize, Rosalind Hwang, Faustina Lovegrove, Julie A. affil: Biomedical Engineering Section, School of Biological Sciences, University of Reading, Reading RG6 6AY, UK sug: ab: The internet has considerable potential to improve health-related food choice at low-cost. Online solutions in this field can be deployed quickly and at very low cost, especially if they are not dependent on bespoke devices or offline processes such as the provision and analysis of biological samples. One key challenge is the automated delivery of personalised dietary advice in a replicable, scalable and inexpensive way, using valid nutrition assessment methods and effective recommendations. We have developed a web-based personalised nutrition system (eNutri) which assesses dietary intake using a validated graphical FFQ and provides personalised food-based dietary advice automatically. Its effectiveness was evaluated during an online randomised controlled trial dietary intervention (EatWellUK study) in which personalised dietary advice was compared with general population recommendations (control) delivered online. The present paper presents a review of literature relevant to this work, and describes the strategies used during the development of the eNutri app. Its design and source code have been made publicly available under a permissive open source license, so that other researchers and organisations can benefit from this work. In a context where personalised diet advice has great potential for health promotion and disease prevention at-scale and yet is not currently being offered in the most popular mobile apps, the strategies and approaches described in the present paper can help to inform and advance the design and development of technologies for personalised nutrition. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|