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Effect of personalized nutrition on health-related behaviour change: evidence from the Food4me European randomized controlled trial

Celis-Morales, C., Livingstone, K., Marsaux, C. F. M., Macready, A. L.., Fallaize, R., O’Donovan, C. B., Woolhead, C., Forster, H., Walsh, M. C., Navas-Carretero, S., San-Cristobal, R., Tsirigoti, L., Lambrinou, C. P., Mavrogianni, C., Moschonis, G., Kolossa, S., Hallmann, J., Godlewska, M., Surwiłło, A., Traczyk, I. , Drevon, C. A., Bouwman, J., van Ommen, B., Grimaldi, K., Parnell, L. D., Matthews, J. N. S., Manios, Y., Daniel, H., Martinez, J. A., Lovegrove, J. A., Gibney, E. R., Brennan, L., Saris, W. H. M., Gibney, M. and Mathers, J. C. (2017) Effect of personalized nutrition on health-related behaviour change: evidence from the Food4me European randomized controlled trial. International Journal of Epidemiology, 46 (2). pp. 578-588. ISSN 0300-5771

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To link to this item DOI: 10.1093/ije/dyw186

Abstract/Summary

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/m2. 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 mg, (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.

Item Type:Article
Refereed:Yes
Divisions:Interdisciplinary centres and themes > Food Chain and Health
Faculty of Life Sciences > School of Agriculture, Policy and Development > Economic and Social Sciences Division > Food Economics and Marketing (FEM)
Faculty of Life Sciences > School of Chemistry, Food and Pharmacy > Department of Food and Nutritional Sciences > Human Nutrition Research Group
Faculty of Life Sciences > School of Psychology and Clinical Language Sciences > Nutrition and Health
ID Code:66441
Uncontrolled Keywords:Personalized nutrition, internet-based, randomized controlled trial, genotype, phenotype, obesity, diet, metabolic health
Publisher:Oxford University Press

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