Frequent nutritional feedback, personalized advice, and behavioral changes: findings from the European Food4Me internet-based RCT
Celis-Morales, C., Livingstone, K. M., Petermann, F., Navas-Carretero, S., San-Cristobal, R., O’Donovan, C. B., Moschonis, G., Manios, Y., Traczyk, I., Drevon, C. A., Daniel, H., Marsaux, C. F., Saris, W. H., Fallaize, R., Macready, A. L.  ORCID: https://orcid.org/0000-0003-0368-9336, Lovegrove, J. A. ORCID: https://orcid.org/0000-0001-7633-9455, Gibney, M., Gibney, E. R., Walsh, M., Brennan, L. et al, Martinez, A. and Mathers, J. C.
(2019)
Frequent nutritional feedback, personalized advice, and behavioral changes: findings from the European Food4Me internet-based RCT.
American Journal of Preventive Medicine, 57 (2).
pp. 209-219.
ISSN 0749-3797
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: 10.1016/j.amepre.2019.03.024 Abstract/SummaryIntroduction: This study tested the hypothesis that providing personalized nutritional advice and feedback more frequently would promote larger, more appropriate, and sustained changes in dietary behavior as well as greater reduction in adiposity.
Study design: A 6-month RCT (Food4Me) was conducted in seven European countries between 2012 and 2013.
Setting/participants: A total of 1,125 participants were randomized to Lower- (n=562) or Higher- (n=563) Frequency Feedback groups. Participants in the Lower-Frequency group received personalized nutritional advice at baseline and at Months 3 and 6 of the intervention, whereas the Higher-Frequency group received personalized nutritional advice at baseline and at Months 1, 2, 3 and 6.
Main outcome measures: The primary outcomes were change in dietary intake (at food and nutrient levels) and obesity-related traits (body weight, BMI, and waist circumference). Participants completed an online food frequency questionnaire to estimate usual dietary intake at baseline and at Months 3 and 6 of the intervention. Overall diet quality was evaluated using the 2010 Healthy Eating Index. Obesity-related traits were self-measured and reported by participant via the Internet. Statistical analyses were performed during the first quarter of 2018.
Results: At 3 months, participants in the Lower- and Higher-Frequency Feedback groups showed improvements in Healthy Eating Index score; this improvement was larger in the Higher-Frequency group than the Lower-Frequency group (=1.84, 95% CI=0.79, 2.89, p=0.0001). Similarly, there were greater improvements for the Higher- versus Lower-Frequency group for body weight (= –0.73 kg, 95% CI= –1.07, –0.38, p<0.0001), BMI (= –0.24 kg, 95% CI= –0.36, –0.13, p<0.0001), and waist circumference (= –1.20 cm, 95% CI= –2.36, –0.04, p=0.039). However, only body weight and BMI remained significant at 6 months.
Conclusions: At 3 months, higher-frequency feedback produced larger improvements in overall diet quality as well as in body weight and waist circumference compared with lower-frequency feedback. However, only body weight and BMI remained significant at 6 months.
Trial registration: Clinicaltrials.gov, NCT01530139.
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| Projects: |
Food4Me
Funded by:
European Commission
(FP7-KBBE-2010-4 265494 - £321,916)
Local Lead (PI): Julie Lovegrove
1 April 2011 - 31 March 2015
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| Date Deposited: | 09 Apr 2019 10:45 | Date item deposited into CentAUR |
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| Last Modified: | 25 Jan 2024 01:31 | Date item last modified |
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1. Celis-Morales C, Livingstone KM, Marsaux CFM, 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(1):450. https://doi.org/10.1007/s12263-014-0450-2.
2. Celis-Morales C, Livingstone KM, Marsaux CFM, 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(1):450. https://doi.org/10.1007/s12263-014-0450-2.
3. Forster H, Fallaize R, Gallagher C, et al. Online dietary intake estimation: the Food4Me food frequency questionnaire. J Med Internet Res. 2014;16(6):e150. https://doi.org/10.2196/jmir.3105.
4. Forster H, Fallaize R, Gallagher C, et al. Online dietary intake estimation: the Food4Me food frequency questionnaire. J Med Internet Res. 2014;16(6):e150. https://doi.org/10.2196/jmir.3105.
5. Celis-Morales C, Livingstone KM, Woolhead C, et al. How reliable is internet-based self-reported identity, socio-demographic and obesity measures in European adults? Genes Nutr. 2015;10(5):28. https://doi.org/10.1007/s12263-015-0476-0.
6. McCance RA. McCance and Widdowson’s The Composition of Foods. 6th summary ed. Cambridge: Royal Society of Chemistry; 2002.
7. Celis-Morales C, Livingstone KM, Marsaux CFM, 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(1):450. https://doi.org/10.1007/s12263-014-0450-2.
8. Institute of Medicine. Dietary Reference Intakes for Energy, Carbohydrate, Fiber, Fat, Fatty Acids, Cholesterol, Protein, and Amino Acids. www.nap.edu/openbook.php?isbn=0309085373. Published 2005. Accessed March 24, 2015.
9. Institute of Medicine. X. www.iom.edu/Activities/Nutrition/SummaryDRIs/DRI-Tables.aspx. Published X. Accessed March 24, 2015.
10. WHO. Protein and amino acid requirements in human nutrition. Report of a joint WHO/FAO/UNU expert consultation (WHO Technical Report Series 935). Geneva, Switzerland: WHO; 2007.
11. WHO. Fats and fatty acids in human nutrition: report of an expert consultation. http://www.who.int/nutrition/publications/nutrientrequirements/fatsandfattyacids_humannutrition/en/. Published 2010. Accessed March 30, 2016.
12. McCance R. McCance and Widdowson’s the Composition of Foods. 7th ed. London: Royal Society of Chemistry; 2014.
13. Guenther PM, Casavale KO, Reedy J, et al. Update of the Healthy Eating Index: HEI-2010. J Acad Nutr Diet. 2013;113(4):569–580. https://doi.org/10.1016/j.jand.2012.12.016.
14. He C, Holme J, Anthony J. SNP genotyping: the KASP assay. Methods Mol Biol. 2014,1145:75–86. https://doi.org/10.1007/978-1-4939-0446-4_7.
15. Bonomi AG, Plasqui G, Goris AHC, Westerterp KR. Estimation of free-living energy expenditure using a novel activity monitor designed to minimize obtrusiveness. Obesity. 2010;18(9):1845–1851. https://doi.org/10.1038/oby.2010.34.
16. Marsaux CFM, Celis-Morales C, Hoonhout J, et al. Objectively measured physical activity in European adults: cross-sectional findings from the Food4Me study. PloS One. 2016;11(3):e0150902. https://doi.org/10.1371/journal.pone.0150902.
17. Choi L, Liu Z, Matthews CE, Buchowski MS. Validation of accelerometer wear and nonwear time classification algorithm. Med Sci Sports Exerc. 2011;43(2):357–364. https://doi.org/10.1249/MSS.0b013e3181ed61a3.
18. WHO. Global Recommendations on Physical Activity for Health. Geneva, Switzerland: WHO; 2010.
19. Hills AP, Mokhtar N, Byrne NM. Assessment of physical activity and energy expenditure: an overview of objective measures. Front Nutr. 2014;1:5. https://doi.org/10.3389/fnut.2014.00005.
20. Henry CJ. Basal metabolic rate studies in humans: measurement and development of new equations. Public Health Nutr. 2005;8(7A):1133–1152. https://doi.org/10.1079/PHN2005801.
21. Celis-Morales C, Livingstone KM, Marsaux CFM, et al. Effect of personalized nutrition on health-related behaviour change: evidence from the Food4me European randomized controlled trial. Int J Epidemiol. 2017;46(2):578–588. https://doi.org/10.1093/ije/dyw186.
22. Baecke JAH, Burema J, Frijters JER. A short questionnaire for the measurement of habitual physical-activity in epidemiological-studies. Am J Clin Nutr. 1982,36(5):936–942. https://doi.org/10.1093/ajcn/36.5.936.
23. Forster H, Walsh MC, O’Donovan CB, et al. A dietary feedback system for the delivery of consistent personalized dietary advice in the web-based multicenter Food4Me study. J Med Internet Res. 2016;18(6):e150. https://doi.org/10.2196/jmir.5620.
24. Livingstone KM, Celis-Morales C, Navas-Carretero S, et al. Effect of an Internet-based, personalized nutrition randomized trial on dietary changes associated with the Mediterranean diet: the Food4Me Study. Am J Clin Nutr. 2016;104(2):288–297. https://doi.org/10.3945/ajcn.115.129049.
25. Rosal MC, Ebbeling CB, Lofgren I, Ockene JK, Ockene IS, Hebert JR. Facilitating dietary change: the patient-centered counseling model. J Am Diet Assoc. 2001;101(3):332-341. https://doi.org/10.1016/S0002-8223(01)00086-4. University Staff: Request a correction | Centaur Editors: Update this record |
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