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dc.contributor.authorLivingstone, Katherine M.
dc.contributor.authorCelis-Morales, Carlos
dc.contributor.authorNavas-Carretero, Santiago
dc.contributor.authorSan Cristobal, Rodrigo
dc.contributor.authorForster, Hannah
dc.contributor.authorWoolhead, Clara
dc.contributor.authorO’Donovan, Clare B.
dc.contributor.authorMoschonis, George
dc.contributor.authorManios, Yannis
dc.contributor.authorTraczyk, Iwona
dc.contributor.authorGundersen, Thomas E.
dc.contributor.authorDrevon, Christian A.
dc.contributor.authorMarsaux, Cyril F. M.
dc.contributor.authorFallaize, Rosalind
dc.contributor.authorMacready, Anna L.
dc.contributor.authorDaniel, Hannelore
dc.contributor.authorSaris, Wim H. M.
dc.contributor.authorLovegrove, Julie A.
dc.contributor.authorGibney, Mike
dc.contributor.authorGibney, Eileen R.
dc.contributor.authorWalsh, Marianne
dc.contributor.authorBrennan, Lorraine
dc.contributor.authorMartinez, J. Alfredo
dc.contributor.authorMathers, John
dc.date.accessioned2022-01-10T14:52:52Z
dc.date.available2022-01-10T14:52:52Z
dc.date.issued2021
dc.identifier.urihttp://repositorio.ucm.cl/handle/ucm/3720
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.es_CL
dc.language.isoenes_CL
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 Chile*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/*
dc.sourceInternational Journal of Behavioral Nutrition and Physical Activity, 18, 70es_CL
dc.subjectDiscretionaryes_CL
dc.subjectDiscretionary foods and beverageses_CL
dc.subjectPersonalised nutritiones_CL
dc.subjectInterventiones_CL
dc.subjectAdultses_CL
dc.titlePersonalised nutrition advice reduces intake of discretionary foods and beverages: findings from the Food4Me randomised controlled triales_CL
dc.typeArticlees_CL
dc.ucm.facultadFacultad de Ciencias de la Educaciónes_CL
dc.ucm.indexacionScopuses_CL
dc.ucm.indexacionIsies_CL
dc.ucm.uriijbnpa.biomedcentral.com/articles/10.1186/s12966-021-01136-5es_CL
dc.ucm.doidoi.org/10.1186/s12966-021-01136-5es_CL


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