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Lookup NU author(s): Dr Katherine Livingstone, Dr Carlos Celis Morales, Eileen Gibney, Professor Lorraine Brennan, Professor John Mathers
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
Background: 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 10 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. 21Conclusions: 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 24 used to target intakes of discretionary foods.
Author(s): Livingstone KM, Celis-Morales C, Navas-Carretero S, San-Cristobal R, Forster H, Woolhead C, ODonovan CB, Moschonis G, Manios Y, Traczyk I, Gundersen TE, Drevon CA, Marsaux CFM, Fallaize R, Macready AL, Daniel H, Saris WHM, Lovegrove JA, Gibney M, Gibney ER, Walsh M, Brennan L, Martinez JA, Mathers JC
Publication type: Article
Publication status: Published
Journal: International Journal of Behavioral Nutrition and Physical Activity
Year: 2021
Volume: 18
Issue: 1
Online publication date: 07/06/2021
Acceptance date: 07/05/2021
Date deposited: 10/05/2021
ISSN (electronic): 1479-5868
Publisher: BioMed Central Ltd.
URL: https://doi.org/10.1186/s12966-021-01136-5
DOI: 10.1186/s12966-021-01136-5
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