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dc.contributor.authorFallaize, Rosalind
dc.contributor.authorFranco, Rodrigo Zenun
dc.contributor.authorHwang, Faustina
dc.contributor.authorLovegrove, Julie A
dc.date.accessioned2019-04-11T14:07:26Z
dc.date.available2019-04-11T14:07:26Z
dc.date.issued2019-04-03
dc.identifier.citationFallaize , R , Franco , R Z , Hwang , F & Lovegrove , J A 2019 , ' Evaluation of the eNutri automated personalised nutrition advice by users and nutrition professionals in the UK ' , PLoS ONE , vol. 14 , no. 4 , e0214931 , pp. 1-17 . https://doi.org/10.1371/journal.pone.0214931
dc.identifier.issn1932-6203
dc.identifier.otherPURE: 16538565
dc.identifier.otherPURE UUID: 8c6e92ed-e04b-4429-b4b1-fd1fe38602c9
dc.identifier.otherScopus: 85063769058
dc.identifier.urihttp://hdl.handle.net/2299/21254
dc.description© 2019 Fallaize et al.
dc.description.abstractNutrition apps have great potential to support people to improve their diets, but few apps give automated validated personalised nutrition advice. A web app capable of delivering automated personalised food-based nutrition advice (eNutri) was developed. The aims of this study were to i) evaluate and optimise the personalised nutrition report provided by the app and ii) compare the personalised food-based advice with nutrition professionals’ standards to aid validation. A study with nutrition professionals (NP) compared the advice provided by the app against professional Registered Dietitians (RD) (n=16) and Registered Nutritionists (RN) (n=16) standards. Each NP received two pre-defined scenarios, comprising an individual’s characteristics and dietary intake based on an analysis of a food frequency questionnaire, along with the nutrition food-based advice that was automatically generated by the app for that individual. NPs were asked to use their professional judgment to consider the scenario, provide their three most relevant recommendations for that individual, then consider the app’s advice and rate their level of agreement via 5-star scales (with 5 as complete agreement). NPs were also asked to comment on the eNutri recommendations, scores generated and overall impression. The mean scores for the appropriateness, relevance and suitability of the eNutri diet messages were 3.5, 3.3 and 3.3 respectively.en
dc.format.extent17
dc.language.isoeng
dc.relation.ispartofPLoS ONE
dc.subjectBiochemistry, Genetics and Molecular Biology(all)
dc.subjectAgricultural and Biological Sciences(all)
dc.titleEvaluation of the eNutri automated personalised nutrition advice by users and nutrition professionals in the UKen
dc.contributor.institutionDepartment of Biological and Environmental Sciences
dc.contributor.institutionWeight and Obesity Research Group
dc.contributor.institutionSchool of Life and Medical Sciences
dc.description.statusPeer reviewed
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85063769058&partnerID=8YFLogxK
rioxxterms.versionVoR
rioxxterms.versionofrecordhttps://doi.org/10.1371/journal.pone.0214931
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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