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Personalised nutrition advice reduces intake of discretionary foods and beverages: findings from the Food4Me randomised controlled trial
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 interventio...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8183081/ https://www.ncbi.nlm.nih.gov/pubmed/34092234 http://dx.doi.org/10.1186/s12966-021-01136-5 |
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author | Livingstone, Katherine M. Celis-Morales, Carlos Navas-Carretero, Santiago San-Cristobal, Rodrigo Forster, Hannah Woolhead, Clara O’Donovan, Clare B. Moschonis, George Manios, Yannis Traczyk, Iwona Gundersen, Thomas E. Drevon, Christian A. Marsaux, Cyril F. M. Fallaize, Rosalind Macready, Anna L. Daniel, Hannelore Saris, Wim H. M. Lovegrove, Julie A. Gibney, Mike Gibney, Eileen R. Walsh, Marianne Brennan, Lorraine Martinez, J. Alfredo Mathers, John C. |
author_facet | Livingstone, Katherine M. Celis-Morales, Carlos Navas-Carretero, Santiago San-Cristobal, Rodrigo Forster, Hannah Woolhead, Clara O’Donovan, Clare B. Moschonis, George Manios, Yannis Traczyk, Iwona Gundersen, Thomas E. Drevon, Christian A. Marsaux, Cyril F. M. Fallaize, Rosalind Macready, Anna L. Daniel, Hannelore Saris, Wim H. M. Lovegrove, Julie A. Gibney, Mike Gibney, Eileen R. Walsh, Marianne Brennan, Lorraine Martinez, J. Alfredo Mathers, John C. |
author_sort | Livingstone, Katherine M. |
collection | PubMed |
description | 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 intake of discretionary foods. TRIAL REGISTRATION: Clinicaltrials.gov NCT01530139. Registered 9 February 2012. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12966-021-01136-5. |
format | Online Article Text |
id | pubmed-8183081 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-81830812021-06-09 Personalised nutrition advice reduces intake of discretionary foods and beverages: findings from the Food4Me randomised controlled trial Livingstone, Katherine M. Celis-Morales, Carlos Navas-Carretero, Santiago San-Cristobal, Rodrigo Forster, Hannah Woolhead, Clara O’Donovan, Clare B. Moschonis, George Manios, Yannis Traczyk, Iwona Gundersen, Thomas E. Drevon, Christian A. Marsaux, Cyril F. M. Fallaize, Rosalind Macready, Anna L. Daniel, Hannelore Saris, Wim H. M. Lovegrove, Julie A. Gibney, Mike Gibney, Eileen R. Walsh, Marianne Brennan, Lorraine Martinez, J. Alfredo Mathers, John C. Int J Behav Nutr Phys Act Research 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 intake of discretionary foods. TRIAL REGISTRATION: Clinicaltrials.gov NCT01530139. Registered 9 February 2012. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12966-021-01136-5. BioMed Central 2021-06-07 /pmc/articles/PMC8183081/ /pubmed/34092234 http://dx.doi.org/10.1186/s12966-021-01136-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Livingstone, Katherine M. Celis-Morales, Carlos Navas-Carretero, Santiago San-Cristobal, Rodrigo Forster, Hannah Woolhead, Clara O’Donovan, Clare B. Moschonis, George Manios, Yannis Traczyk, Iwona Gundersen, Thomas E. Drevon, Christian A. Marsaux, Cyril F. M. Fallaize, Rosalind Macready, Anna L. Daniel, Hannelore Saris, Wim H. M. Lovegrove, Julie A. Gibney, Mike Gibney, Eileen R. Walsh, Marianne Brennan, Lorraine Martinez, J. Alfredo Mathers, John C. Personalised nutrition advice reduces intake of discretionary foods and beverages: findings from the Food4Me randomised controlled trial |
title | Personalised nutrition advice reduces intake of discretionary foods and beverages: findings from the Food4Me randomised controlled trial |
title_full | Personalised nutrition advice reduces intake of discretionary foods and beverages: findings from the Food4Me randomised controlled trial |
title_fullStr | Personalised nutrition advice reduces intake of discretionary foods and beverages: findings from the Food4Me randomised controlled trial |
title_full_unstemmed | Personalised nutrition advice reduces intake of discretionary foods and beverages: findings from the Food4Me randomised controlled trial |
title_short | Personalised nutrition advice reduces intake of discretionary foods and beverages: findings from the Food4Me randomised controlled trial |
title_sort | personalised nutrition advice reduces intake of discretionary foods and beverages: findings from the food4me randomised controlled trial |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8183081/ https://www.ncbi.nlm.nih.gov/pubmed/34092234 http://dx.doi.org/10.1186/s12966-021-01136-5 |
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