International Journal of Epidemiology, pages dyw186
Effect of personalized nutrition on health-related behaviour change: evidence from the Food4me European randomized controlled trial
Carlos Celis-Morales
1
,
Katherine M. Livingstone
1
,
Cyril FM Marsaux
2
,
Anna Macready
3
,
Rosalind Fallaize
1
,
Clare B. O’Donovan
4
,
Clara Woolhead
4
,
Hannah Forster
1
,
Marianne C Walsh
4
,
Santiago Navas-Carretero
5
,
Rodrigo San-Cristobal
5
,
Lydia Tsirigoti
6
,
Christina-Paulina Lambrinou
6
,
Christina Mavrogianni
6
,
George Moschonis
6
,
Silvia Kolossa
7
,
Jacqueline Hallmann
7
,
Magdalena Godlewska
8
,
Agnieszka Surwillo
8
,
Iwona Traczyk
8
,
Christian A. Drevon
9
,
Jildau Bouwman
10
,
Ben van Ommen
10
,
Keith A. Grimaldi
11
,
Laurence D. Parnell
12
,
J. N. S. Matthews
13
,
Yannis Manios
6
,
Hannelore Daniel
7
,
J. L. Martínez
5
,
Julie A. Lovegrove
3
,
Eileen R. Gibney
4
,
Lorraine Brennan
4
,
Wim H. M. Saris
1
,
Michael Gibney
4
,
John Cummings Mathers
1
7
8
8National Food & Nutrition Institute (IZZ), Warsaw, Poland
|
10
10TNO, Microbiology and Systems Biology Group, Zeist, The Netherlands
|
11
11Eurogenetica Ltd, Burnham-on-Sea, UK
|
Publication type: Journal Article
Publication date: 2016-08-14
scimago Q1
SJR: 2.663
CiteScore: 13.6
Impact factor: 6.4
ISSN: 03005771, 14643685
General Medicine
Epidemiology
Abstract
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.: 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.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.Among European adults, PN advice via internet-delivered intervention produced larger and more appropriate changes in dietary behaviour than a conventional approach.
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