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dc.contributor.authorFood4Me Study
dc.date.accessioned2021-06-10T16:35:04Z
dc.date.available2021-06-10T16:35:04Z
dc.date.issued2021-06-07
dc.identifier.citationFood4Me Study 2021 , ' Personalised nutrition advice reduces intake of discretionary foods and beverages : findings from the Food4Me randomised controlled trial ' , International Journal of Behavioral Nutrition and Physical Activity , vol. 18 , no. 1 , 70 . https://doi.org/10.1186/s12966-021-01136-5
dc.identifier.issn1479-5868
dc.identifier.otherPURE: 25403858
dc.identifier.otherPURE UUID: f11cf066-f579-48da-bac0-f6a0852f700e
dc.identifier.otherPubMed: 34092234
dc.identifier.urihttp://hdl.handle.net/2299/24579
dc.description© The Author(s). 2021. This article is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
dc.description.abstractBACKGROUND: The effect of personalised nutrition advice on discretionary foods intake is unknown. To date, two national classifications for discretionary foods have been derived. This study examined changes in intake of discretionary foods and beverages following a personalised nutrition intervention using these two classifications. METHODS: Participants were recruited into a 6-month RCT across seven European countries (Food4Me) and were randomised to receive generalised dietary advice (control) or one of three levels of personalised nutrition advice (based on diet [L1], phenotype [L2] and genotype [L3]). Dietary intake was derived from an FFQ. An analysis of covariance was used to determine intervention effects at month 6 between personalised nutrition (overall and by levels) and control on i) percentage energy from discretionary items and ii) percentage contribution of total fat, SFA, total sugars and salt to discretionary intake, defined by Food Standards Scotland (FSS) and Australian Dietary Guidelines (ADG) classifications. RESULTS: Of the 1607 adults at baseline, n = 1270 (57% female) completed the intervention. Percentage sugars from FSS discretionary items was lower in personalised nutrition vs control (19.0 ± 0.37 vs 21.1 ± 0.65; P = 0.005). Percentage energy (31.2 ± 0.59 vs 32.7 ± 0.59; P = 0.031), percentage total fat (31.5 ± 0.37 vs 33.3 ± 0.65; P = 0.021), SFA (36.0 ± 0.43 vs 37.8 ± 0.75; P = 0.034) and sugars (31.7 ± 0.44 vs 34.7 ± 0.78; P < 0.001) from ADG discretionary items were lower in personalised nutrition vs control. There were greater reductions in ADG percentage energy and percentage total fat, SFA and salt for those randomised to L3 vs L2. CONCLUSIONS: Compared with generalised dietary advice, personalised nutrition advice achieved greater reductions in discretionary foods intake when the classification included all foods high in fat, added sugars and salt. Future personalised nutrition approaches may be used to target intake of discretionary foods.TRIAL REGISTRATION: Clinicaltrials.gov NCT01530139 . Registered 9 February 2012.en
dc.format.extent12
dc.language.isoeng
dc.relation.ispartofInternational Journal of Behavioral Nutrition and Physical Activity
dc.titlePersonalised nutrition advice reduces intake of discretionary foods and beverages : findings from the Food4Me randomised controlled trialen
dc.contributor.institutionSchool of Life and Medical Sciences
dc.description.statusPeer reviewed
dc.relation.school
dcterms.dateAccepted2021-06-07
rioxxterms.versionVoR
rioxxterms.versionofrecordhttps://doi.org/10.1186/s12966-021-01136-5
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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