| Literature DB >> 25491748 |
Carlos Celis-Morales1, Katherine M Livingstone, Cyril F M Marsaux, Hannah Forster, Clare B O'Donovan, Clara Woolhead, Anna L Macready, Rosalind Fallaize, Santiago Navas-Carretero, Rodrigo San-Cristobal, Silvia Kolossa, Kai Hartwig, Lydia Tsirigoti, Christina P Lambrinou, George Moschonis, Magdalena Godlewska, Agnieszka Surwiłło, Keith Grimaldi, Jildau Bouwman, E J Daly, Victor Akujobi, Rick O'Riordan, Jettie Hoonhout, Arjan Claassen, Ulrich Hoeller, Thomas E Gundersen, Siv E Kaland, John N S Matthews, Yannis Manios, Iwona Traczyk, Christian A Drevon, Eileen R Gibney, Lorraine Brennan, Marianne C Walsh, Julie A Lovegrove, J Alfredo Martinez, Wim H M Saris, Hannelore Daniel, Mike Gibney, John C Mathers.
Abstract
Improving lifestyle behaviours has considerable potential for reducing the global burden of non-communicable diseases, promoting better health across the life-course and increasing well-being. However, realising this potential will require the development, testing and implementation of much more effective behaviour change interventions than are used conventionally. Therefore, the aim of this study was to conduct a multi-centre, web-based, proof-of-principle study of personalised nutrition (PN) to determine whether providing more personalised dietary advice leads to greater improvements in eating patterns and health outcomes compared to conventional population-based advice. A total of 5,562 volunteers were screened across seven European countries; the first 1,607 participants who fulfilled the inclusion criteria were recruited into the trial. Participants were randomly assigned to one of the following intervention groups for a 6-month period: Level 0-control group-receiving conventional, non-PN advice; Level 1-receiving PN advice based on dietary intake data alone; Level 2-receiving PN advice based on dietary intake and phenotypic data; and Level 3-receiving PN advice based on dietary intake, phenotypic and genotypic data. A total of 1,607 participants had a mean age of 39.8 years (ranging from 18 to 79 years). Of these participants, 60.9 % were women and 96.7 % were from white-European background. The mean BMI for all randomised participants was 25.5 kg m(-2), and 44.8 % of the participants had a BMI ≥ 25.0 kg m(-2). Food4Me is the first large multi-centre RCT of web-based PN. The main outcomes from the Food4Me study will be submitted for publication during 2015.Entities:
Year: 2014 PMID: 25491748 PMCID: PMC4261071 DOI: 10.1007/s12263-014-0450-2
Source DB: PubMed Journal: Genes Nutr ISSN: 1555-8932 Impact factor: 5.523