Effect of an internet-based, personalized nutrition randomized trial on dietary changes associated with the Mediterranean diet: the Food4Me Study
Livingstone, K. M., Celis-Morales, C., Navas-Carretero, S., San-Cristobal, R., Macready, A.  ORCID: https://orcid.org/0000-0003-0368-9336, Fallaize, R., Forster, H., Woolhead, C., O’Donovan, C. B., Marsaux, C. F. M., Kolossa, S., Tsirigoti, L., Lambrinou, C. P., Moschonis, G., Godlewska, M., Surwiłło, A., Drevon, C. A., Manios, Y., Traczyk, I., Gibney, E. R. et al, Brennan, L., Walsh, M. C., Lovegrove, J. ORCID: https://orcid.org/0000-0001-7633-9455, Saris, W. H., Daniel, H., Gibney, M., Martinez, J. A. and Mathers, J. C.
(2016)
Effect of an internet-based, personalized nutrition randomized trial on dietary changes associated with the Mediterranean diet: the Food4Me Study.
American Journal of Clinical Nutrition, 104 (2).
pp. 288-297.
ISSN 0002-9165
It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. To link to this item DOI: 10.3945/ajcn.115.129049 Abstract/SummaryBackground: Little is known about the efficacy of personalized nutrition (PN) interventions for improving consumption of a Mediterranean diet (MedDiet).
Objective: The objective was to evaluate the effect of a PN intervention on dietary changes associated with the MedDiet.
Design: Participants (n = 1607) were recruited into a 6-mo, Internet-based, PN randomized controlled trial (Food4Me) designed to evaluate the effect of PN on dietary change. Participants were randomly assigned to receive conventional dietary advice [control; level 0 (L0)] or PN advice on the basis of current diet [level 1 (L1)], diet and phenotype [level 2 (L2)], or diet, phenotype, and genotype [level 3 (L3)]. Dietary intakes from food-frequency questionnaires at baseline and at 6 mo were converted to a MedDiet score. Linear regression compared participant characteristics between high (>5) and low (≤5) MedDiet scores. Differences in MedDiet scores between treatment arms at month 6 were evaluated by using contrast analyses.
Results: At baseline, high MedDiet scorers had a 0.5 lower body mass index (in kg/m2; P = 0.007) and a 0.03 higher physical activity level (P = 0.003) than did low scorers. MedDiet scores at month 6 were greater in individuals randomly assigned to receive PN (L1, L2, and L3) than in controls (PN compared with controls: 5.20 ± 0.05 and 5.48 ± 0.07, respectively; P = 0.002). There was no significant difference in MedDiet scores at month 6 between PN advice on the basis of L1 compared with L2 and L3. However, differences in MedDiet scores at month 6 were greater in L3 than in L2 (L3 compared with L2: 5.63 ± 0.10 and 5.38 ± 0.10, respectively; P = 0.029).
Conclusions: Higher MedDiet scores at baseline were associated with healthier lifestyles and lower adiposity. After the intervention, MedDiet scores were greater in individuals randomly assigned to receive PN than in controls, with the addition of DNA-based dietary advice resulting in the largest differences in MedDiet scores. Although differences were significant, their clinical relevance is modest. This trial was registered at clinicaltrials.gov as NCT01530139.
Downloads per month over past year
| Funders: |
European Commission
| The sponsoring bodies who contributed funding for the creation of this item.
Example: NERC
Example: The Royal Society of Chemistry
A pick list of funders may appear as you type in the funder's name in full or as an acronym. Select a correct match to complete the field or type in a new entry in full. For new entries, the full name is preferred. |
|---|
| Projects: |
Food4Me
Funded by:
European Commission
(FP7-KBBE-2010-4 265494 - £321,916)
Local Lead (PI): Julie Lovegrove
1 April 2011 - 31 March 2015
| Click Add to select your project (received at Reading) from an autocomplete list. |
|---|
| Date Deposited: | 15 Jul 2016 12:58 | Date item deposited into CentAUR |
|---|
| Last Modified: | 09 Jun 2024 05:58 | Date item last modified |
|---|
1. Organization for Economic Cooperation and Development. Health at a glance: Europe 2012 [cited 2015 Jul 4]. Available from: http://dx.doi.org/10.1787/9789264183896-en.
2. Hill JO, Wyatt HR, Peters JC. Energy balance and obesity. Circulation 2012;126:126–32.
3. Cordain L, Eaton SB, Sebastian A, Mann N, Lindeberg S, Watkins BA, O’Keefe JH, Brand-Miller J. Origins and evolution of the Western diet: health implications for the 21st century. Am J Clin Nutr 2005;81:341–54.
4. Hu FB, van Dam RM, Liu S. Diet and risk of type II diabetes: the role of types of fat and carbohydrate. Diabetologia 2001;44:805–17.
5. Sofi F, Abbate R, Gensini GF, Casini A. Accruing evidence on benefits of adherence to the Mediterranean diet on health: an updated systematic review and meta-analysis. Am J Clin Nutr 2010;92:1189–96.
6. Rodríguez-Rejo´n AI, Castro-Quezada I, Ruano-Rodríguez C, Ruiz-Lo´pez MD, Sa´nchez-Villegas A, Toledo E, Artacho R, Estruch R, Salas-Salvado´ J, Covas MI, et al. Effect of a Mediterranean diet intervention on dietary glycemic load and dietary glycemic index: the PREDIMED study. J Nutr Metab 2014;2014:985373–83.
7. Pérez-Martínez P, García-Ríos A, Delgado-Lista J, Pérez-Jiménez F, Lo´pez-Miranda J. Mediterranean diet rich in olive oil and obesity, metabolic syndrome and diabetes mellitus. Curr Pharm Des 2011;17:769–77.
8. Buckland G, Bach A, Serra-Majem L. Obesity and the Mediterranean diet: a systematic review of observational and intervention studies. Obes Rev 2008;9:582–93.
9. Eguaras S, Toledo E, Buil-Cosiales P, Salas-Salvado´ J, Corella D, Gutierrez-Bedmar M, Santos-Lozano JM, Aro´s F, Fiol M, Fito´ M, et al. Does the Mediterranean diet counteract the adverse effects of abdominal adiposity? Nutr Metab Cardiovasc Dis 2015;25:569–74.
10. Beunza J-J, Toledo E, Hu FB, Bes-Rastrollo M, Serrano-Martínez M, Sa´nchez-Villegas A, Martínez JA, Martínez-Gonza´lez MA. Adherence to the Mediterranean diet, long-term weight change, and incident overweight or obesity: the Seguimiento Universidad de Navarra (SUN) cohort. Am J Clin Nutr 2010;92:1484–93.
11. Estruch R, Ros E, Salas-Salvado´ J, Covas M-I, Corella D, Aro´s F, Go´mez-Gracia E, Ruiz-Gutiérrez V, Fiol M, Lapetra J, et al. Primary prevention of cardiovascular disease with a Mediterranean diet. N Engl J Med 2013;368:1279–90.
12. de Lorgeril M, Salen P, Martin J-L, Monjaud I, Delaye J, Mamelle N. Mediterranean diet, traditional risk factors, and the rate of cardiovascular complications after myocardial infarction: final report of the Lyon Diet Heart Study. Circulation 1999;99:779–85.
13. Buckland G, Agudo A, Luja´n L, Jakszyn P, Bueno-de-Mesquita HB, Palli D, Boeing H, Carneiro F, Krogh V, Sacerdote C, et al. Adherence to a Mediterranean diet and risk of gastric adenocarcinoma within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort study. Am J Clin Nutr 2010;91:381–90.
14. Alberti-Fidanza A, Fidanza F. Mediterranean adequacy index of Italian diets. Public Health Nutr 2004;7:937–41.
15. Razquin C, Martinez JA, Martinez-Gonzalez MA, Bes-Rastrollo M, Fernandez-Crehuet J, Marti A. A 3-year intervention with a Mediterranean diet modified the association between the rs9939609 gene variant in FTO and body weight changes. Int J Obes (Lond) 2010;34:266–72.
16. Martínez-Gonza´lez MA´ , Corella D, Salas-Salvado´ J, Ros E, Covas MI, Fiol M, Wa¨rnberg J, Aro´s F, Ruíz-Gutiérrez V, Lamuela-Ravento´s RM, et al. Cohort profile: design and methods of the PREDIMED study. Int J Epidemiol 2012;41:377–85.
17. Ros E, Martínez-Gonza´lez MA, Estruch R, Salas-Salvado´ J, Fito´ M, Martínez JA, Corella D. Mediterranean diet and cardiovascular health: teachings of the PREDIMED study. Adv Nutr 2014;5(Suppl):330S–6S.
18. Hu EA, Toledo E, Diez-Espino J, Estruch R, Corella D, Salas-Salvado J, Vinyoles E, Gomez-Gracia E, Aros F, Fiol M, et al. Lifestyles and risk factors associated with adherence to the Mediterranean diet: a baseline assessment of the PREDIMED trial. PLoS One 2013;8:e60166.
19. Celis-Morales C, Lara J, Mathers JC. Personalising nutritional guidance for more effective behaviour change. Proc Nutr Soc 2015;74:130–8.
20. Nielsen DE, El-Sohemy A. Disclosure of genetic information and change in dietary intake: a randomized controlled trial. PLoS One 2014;9:e112665.
21. Marteau TM, French DP, Griffin SJ, Prevost AT, Sutton S, Watkinson C, Attwood S, Hollands GJ. Effects of communicating DNA-based disease risk estimates on risk-reducing behaviours. Cochrane Database Syst Rev 2010;10. Art. No.: CD007275.
22. Hietaranta-Luoma HL, Tahvonen R, Iso-Touru T, Puolijoki H, Hopia A. An intervention study of individual, apoE genotype-based dietary and physical-activity advice: impact on health behavior. J Nutrigenet Nutrigenomics 2014;7:161–74.
23. Tate DF, Wing RR, Winett RA. Using Internet technology to deliver a behavioral weight loss program. JAMA 2001;285:1172–7.
24. Food4Me. Personalised nutrition: opportunities and challenges [cited 2015 Dec 14]. Available from: http://www.food4me.org/news/207-white-paper.
25. Food4Me. Home page [cited 2016 Feb 12]. Available from: http://www.food4me.org/.
26. Celis-Morales C, Livingstone KM, Marsaux CFM, Forster H, O’Donovan CB, Woolhead C, Macready AL, Fallaize R, Navas-Carretero S, San-Cristobal R, et al. Design and baseline characteristics of the Food4Me Study: a web-based randomised controlled trial of personalised nutrition in seven European countries. Genes Nutr 2015;10:450.
27. Wei LJ, Lachin JM. Properties of the urn randomization in clinical trials. Control Clin Trials 1988;9:345–64.
28. Michie S, Ashford S, Sniehotta FF, Dombrowski SU, Bishop A, French DP. A refined taxonomy of behaviour change techniques to help people change their physical activity and healthy eating behaviours: the CALO-RE taxonomy. Psychol Health 2011;26:1479–98.
29. Michie S, Hyder N, Walia A, West R. Development of a taxonomy of behaviour change techniques used in individual behavioural support for smoking cessation. Addict Behav 2011;36:315–9.
30. Forster H, Gallagher C, O’Donovan CB, Woolhead C, Walsh MC, Macready AL, Lovegrove JA, Mathers JC, Gibney MJ, Brennan L, et al. Online dietary intake estimation: the Food4Me food frequency questionnaire. J Med Internet Res 2014;16:e150.
31. Fallaize R, Forster H, Macready AL, Walsh MC, Mathers JC, Brennan L, Gibney ER, Gibney MJ, Lovegrove JA. Online dietary intake estimation: reproducibility and validity of the Food4Me Food frequency questionnaire against a 4-day weighed food record. J Med Internet Res 2014;16:e190.
32. Food Standards Agency. McCance and Widdowson’s The Composition of Foods. Sixth summary edition. Cambridge (United Kingdom): Royal Society of Chemistry; 2002.
33. Institute of Medicine. Dietary Reference Intakes for energy, carbohydrate, fiber, fat, fatty acids, cholesterol, protein, and amino acids [cited 2015 Mar 24]. Available from: http://www.nap.edu/openbook.php? isbn=0309085373.
34. Institute of Medicine. Dietary Reference Intakes tables and application [cited 2015 Mar 24]. Available from: http://www.iom.edu/Activities/Nutrition/SummaryDRIs/DRI-Tables.aspx.
35. World Health Organization. Protein and amino acid requirements in human nutrition. Report of a Joint WHO/FAO/UNU Expert Consultation. World Health Organ Tech Rep Ser 2007;935.
36. World Health Organization. Fats and fatty acids in human nutrition: report of an expert consultation [cited 2016 Mar 30]. Available from: http://www.who.int/nutrition/publications/nutrientrequirements/fatsandfattyacids_humannutrition/en/.
37. Celis-Morales C, Livingstone KM, Woolhead C, Forster H, O’Donovan CB, Macready AL, Fallaize R, Marsaux CF, Tsirigoti L, Efstathopoulou E, et al. How reliable is internet-based self-reported identity, sociodemographic and obesity measures in European adults? Genes Nutr 2015;10:28–38.
38. World Health Organization. Global recommendations on activity for physical health [cited 2016 Jan 16]. Available from: http://whqlibdoc.who.int/publications/2010/9789241599979_eng.pdf.
39. European Commission. ESCO: European skills, competences, qualifications and occupations [cited 2015 Apr 1]. Available from: https://ec.europa.eu/esco/web/guest/hierarchybrowser/-/browser/Occupation.
40. European Commission. Mean earnings by sex, age, occupation [cited 2015Mar 27]. Available from: http://ec.europa.eu/eurostat/web/productsdatasets/-/earn_ses_agt28.
41. White IR, Carpenter J, Horton NJ. Including all individuals is not enough: lessons for intention-to-treat analysis. Clin Trials 2012;9:396–407.
42. Goldberg GR, Black AE, Jebb SA, Cole TJ, Murgatroyd PR, Coward WA, Prentice AM. Critical evaluation of energy intake data using fundamental principles of energy physiology. 1. Derivation of cut-off limits to identify under-recording. Eur J Clin Nutr 1991;45:569–81.
43. Henry CJK. Basal metabolic rate studies in humans: measurement and development of new equations. Public Health Nutr 2005;8(7A):1133–52.
44. Hébert JR, Peterson KE, Hurley TG, Stoddard AM, Cohen N, Field AE, Sorensen G. The effect of social desirability trait on self-reported dietary measures among multi-ethnic female health center employees. Ann Epidemiol 2001;11:417–27.
45. Zazpe I, Sanchez-Tainta A, Estruch R, Lamuela-Raventos RM, Schro¨der H, Salas-Salvado J, Corella D, Fiol M, Gomez-Gracia E, Aros F, et al. A large randomized individual and group intervention conducted by registered dietitians increased adherence to Mediterraneantype diets: the PREDIMED study. J Am Diet Assoc 2008;108:1134–44.
46. Macdiarmid J, Blundell J. Assessing dietary intake: who, what and why of under-reporting. Nutr Res Rev 1998;11:231–53.
47. Livingstone KM, Celis-Morales C, Navas-Carretero S, San-Cristobal R, O’Donovan CB, Forster H, Woolhead C, Marsaux CFM, Macready AL, Fallaize R, et al. Profile of European adults interested in Internet-based personalized nutrition: the Food4Me Study. Eur J Nutr 2016;55:759–69. University Staff: Request a correction | Centaur Editors: Update this record |
Lists
Lists
