University of Hertfordshire

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  • Carlos Celis-Morales
  • Katherine M Livingstone
  • Cyril F M Marsaux
  • Anna L Macready
  • Rosalind Fallaize
  • Clare B O'Donovan
  • Clara Woolhead
  • Hannah Forster
  • Marianne C Walsh
  • Santiago Navas-Carretero
  • Rodrigo San-Cristobal
  • Lydia Tsirigoti
  • Christina P Lambrinou
  • Christina Mavrogianni
  • George Moschonis
  • Silvia Kolossa
  • Jacqueline Hallmann
  • Magdalena Godlewska
  • Agnieszka Surwiłło
  • Iwona Traczyk
  • Christian A Drevon
  • Jildau Bouwman
  • Ben van Ommen
  • Keith Grimaldi
  • Laurence D Parnell
  • John N S Matthews
  • Yannis Manios
  • Hannelore Daniel
  • J Alfredo Martinez
  • Julie A Lovegrove
  • Eileen R Gibney
  • Lorraine Brennan
  • Wim H M Saris
  • Mike Gibney
  • John C Mathers
  • Food4Me Study
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Original languageEnglish
Pages (from-to)578-588
Number of pages11
JournalInternational Journal of Epidemiology
Volume46
Issue2
Early online date12 Aug 2016
DOIs
Publication statusPublished - 1 Apr 2017

Abstract

BACKGROUND: Optimal nutritional choices are linked with better health, but many current interventions to improve diet have limited effect. We tested the hypothesis that providing personalized nutrition (PN) advice based on information on individual diet and lifestyle, phenotype and/or genotype would promote larger, more appropriate, and sustained changes in dietary behaviour.

METHODS: Adults from seven European countries were recruited to an internet-delivered intervention (Food4Me) and randomized to: (i) conventional dietary advice (control) or to PN advice based on: (ii) individual baseline diet; (iii) individual baseline diet plus phenotype (anthropometry and blood biomarkers); or (iv) individual baseline diet plus phenotype plus genotype (five diet-responsive genetic variants). Outcomes were dietary intake, anthropometry and blood biomarkers measured at baseline and after 3 and 6 months' intervention.

RESULTS: At baseline, mean age of participants was 39.8 years (range 18-79), 59% of participants were female and mean body mass index (BMI) was 25.5 kg/m(2) From the enrolled participants, 1269 completed the study. Following a 6-month intervention, participants randomized to PN consumed less red meat [-5.48 g, (95% confidence interval:-10.8,-0.09), P = 0.046], salt [-0.65 g, (-1.1,-0.25), P = 0.002] and saturated fat [-1.14 % of energy, (-1.6,-0.67), P < 0.0001], increased folate [29.6 µg, (0.21,59.0), P = 0.048] intake and had higher Healthy Eating Index scores [1.27, (0.30, 2.25), P = 0.010) than those randomized to the control arm. There was no evidence that including phenotypic and phenotypic plus genotypic information enhanced the effectiveness of the PN advice.

CONCLUSIONS: Among European adults, PN advice via internet-delivered intervention produced larger and more appropriate changes in dietary behaviour than a conventional approach.

Notes

This is a pre-copyedited, author-produced version of an article accepted for publication in International Journal of Epidemiology following peer review. The version of record [Carlos Celis-Morales, et al, 'Effect of personalized nutrition on health-related behaviour change: evidence from the Food4Me European randomized controlled trail', International Journal of Epidemiology, Vol. 46 (2): 578-588, August 2016] is available online at: https://academic.oup.com/ije/article-lookup/doi/10.1093/ije/dyw186.

ID: 10520533