Personalised nutrition advice reduces intake of discretionary foods and beverages: findings from the Food4Me randomised controlled trial

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Livingstone, K. M., Celis-Morales, C., Navas-Carretero, S., San-Cristobal, R., Forster, H., Woolhead, C., O’Donovan, C. B., Moschonis, G., Manios, Y., Traczyk, I., Gundersen, T. E., Drevon, C. A., Marsaux, C. F. M., Fallaize, R., Macready, A. L. ORCID: https://orcid.org/0000-0003-0368-9336, Daniel, H., Saris, W. H. M., Lovegrove, J. A. ORCID: https://orcid.org/0000-0001-7633-9455, Gibney, M., Gibney, E. R., Walsh, M., Brennan, L., Martinez, J. A. and Mathers, J. C. (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, 18 (1). 70. ISSN 1479-5868 doi: 10.1186/s12966-021-01136-5

Abstract/Summary

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 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 intakes of discretionary foods.

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Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/98636
Identification Number/DOI	10.1186/s12966-021-01136-5
Refereed	Yes
Divisions	Interdisciplinary centres and themes > Food Chain and Health Interdisciplinary Research Centres (IDRCs) > Centre for Integrative Neuroscience and Neurodynamics (CINN) Interdisciplinary centres and themes > Institute for Cardiovascular and Metabolic Research (ICMR) Interdisciplinary Research Centres (IDRCs) > Institute for Food, Nutrition and Health (IFNH) Life Sciences > School of Agriculture, Policy and Development > Department of Agri-Food Economics & Marketing Life Sciences > School of Chemistry, Food and Pharmacy > Department of Food and Nutritional Sciences > Human Nutrition Research Group Life Sciences > School of Psychology and Clinical Language Sciences > Nutrition and Health
Uncontrolled Keywords	Discretionary; discretionary foods and beverages; personalised nutrition; internet-based; intervention; European; adults, Food4Me
Publisher	The International Society of Behavioral Nutrition and Physical Activity
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Funders:	European Commission	The sponsoring bodies who contributed funding for the creation of this item. Example: NERC Example: The Royal Society of Chemistry A pick list of funders may appear as you type in the funder's name in full or as an acronym. Select a correct match to complete the field or type in a new entry in full. For new entries, the full name is preferred.
Projects:	Food4Me Funded by: European Commission (FP7-KBBE-2010-4 265494 - £321,916) Local Lead (PI): Julie Lovegrove 1 April 2011 - 31 March 2015	Click Add to select your project (received at Reading) from an autocomplete list.

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Date Deposited:	22 Jun 2021 08:57	Date item deposited into CentAUR
Last Modified:	09 Jun 2024 04:43	Date item last modified

References

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