Effect of personalized nutrition on health-related behaviour change: evidence from the Food4me European randomized controlled trial
Open accessAbstract
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.
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Among European adults, internet-delivered personalized nutrition advice led to more significant and appropriate dietary changes than conventional methods.
“Among European adults, internet-delivered personalized nutrition advice led to more significant and appropriate dietary changes than conventional methods.”
From Personalized nutrition in type 2 diabetes remission: application of digital twin technology for predictive glycemic control (2024) · cites this paper as [14]
Data were self-reported or collected remotely, introducing potential measurement errors.
“Data were self-reported or collected remotely, introducing potential measurement errors (14).”
From Personalized nutrition in type 2 diabetes remission: application of digital twin technology for predictive glycemic control (2024) · cites this paper as [14]
The online nature of this study limited the range of measures, with some key health biomarkers not recorded.
“However, the online nature of this study limited the range of measures, with some key health biomarkers, like blood pressure, not recorded.”
From Personalized nutrition in type 2 diabetes remission: application of digital twin technology for predictive glycemic control (2024) · cites this paper as [14]
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Cites
A New Initiative on Precision Medicine
Collins, F. S., & Varmus, H. (2015) · New England Journal of Medicine · doi:10.1056/nejmp1500523 · Cited by 5,202 · see citing works
Frayling, T. M., Timpson, N. J., Weedon, M. N., Zeggini, E., Freathy, R. M., Lindgren, C. M., Perry, J. R. B., Elliott, K. S., Lango, H., Rayner, N. W., et al. (2007) · Science · doi:10.1126/science.1141634 · Cited by 4,531 · see citing works
A short questionnaire for the measurement of habitual physical activity in epidemiological studies
Baecke, J. A. H., BUREMA, J., & Frijters, J. E. R. (1982) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/36.5.936 · Cited by 3,950 · see citing works
Ezzati, M., López, A. D., Rodgers, A., & Murray, C. J. L. (2004) · Cited by 3,319 · see citing works
Update of the Healthy Eating Index: HEI-2010
Guenther, P. M., Casavale, K. O., Reedy, J., Kirkpatrick, S. I., Hiza, H., Kuczynski, K. J., Kahle, L., & Krebs‐Smith, S. M. (2013) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2012.12.016 · Cited by 1,361 · see citing works
Behavioral and Dietary Risk Factors for Noncommunicable Diseases
Ezzati, M., & Ríboli, E. (2013) · New England Journal of Medicine · doi:10.1056/nejmra1203528 · Cited by 744 · see citing works
Primary health care: Now more than ever
Chan, M. (2012) · United Nations chronicle/UN chronicle · doi:10.18356/cbabf986-en · Cited by 694 · see citing works
Inequalities in non-communicable diseases and effective responses
Cesare, M. D., Khang, Y., Asaria, P., Blakely, T. A., Cowan, M. J., Farzadfar, F., Guerrero, R., Ikeda, N., Kyobutungi, C. K., Msyamboza, K. P., et al. (2013) · The Lancet · doi:10.1016/s0140-6736(12)61851-0 · Cited by 674 · see citing works
Effect of Direct-to-Consumer Genomewide Profiling to Assess Disease Risk
Bloss, C. S., Schork, N. J., & Topol, E. J. (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1011893 · Cited by 565 · see citing works
Properties of the urn randomization in clinical trials
Wei, L. J., & Lachin, J. M. (1988) · Controlled Clinical Trials · doi:10.1016/0197-2456(88)90048-7 · Cited by 308 · see citing works
Effects of communicating DNA-based disease risk estimates on risk-reducing behaviours
Marteau, T. M., French, D., Griffin, S. J., Prevost, A. T., Sutton, S. R., Watkinson, C., Attwood, S., & Hollands, G. J. (2010) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd007275.pub2 · Cited by 269 · see citing works
Fallaize, R., Forster, H., Macready, A. L., Walsh, M. C., Mathers, J. C., Brennan, L., Gibney, E. R., Gibney, M. J., & Lovegrove, J. A. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.3355 · Cited by 210 · see citing works
Self-citationCelis-Morales, C. A., Livingstone, K. M., Marsaux, C. F. M., Forster, H., O’Donovan, C. B., Woolhead, C., Macready, A. L., Fallaize, R., Navas‐Carretero, S., San-Cristóbal, R., et al. (2014) · Genes & Nutrition · doi:10.1007/s12263-014-0450-2 · Cited by 174 · see citing works
Self-citationDisclosure of genetic information and change in dietary intake: a randomized controlled trial
Nielsen, D. E., & El-Sohemy, A. (2014) · PLoS ONE · doi:10.1371/journal.pone.0112665 · Cited by 157 · see citing works
Online dietary intake estimation: the Food4Me food frequency questionnaire
Forster, H., Fallaize, R., Gallagher, C., O’Donovan, C. B., Woolhead, C., Walsh, M. C., Macready, A. L., Lovegrove, J. A., Mathers, J. C., Gibney, M. J., et al. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.3105 · Cited by 151 · see citing works
Self-citationImpact of direct-to-consumer genomic testing at long term follow-up
Bloss, C. S., Wineinger, N. E., Darst, B. F., Schork, N. J., & Topol, E. J. (2013) · Journal of Medical Genetics · doi:10.1136/jmedgenet-2012-101207 · Cited by 137 · see citing works
Effect of web-based lifestyle modification on weight control: a meta-analysis
Kodama, S., Saito, K., Tanaka, S., Horikawa, C., Fujiwara, K., Hirasawa, R., Yachi, Y., Iida, K., Shimano, H., Ohashi, Y., et al. (2011) · International Journal of Obesity · doi:10.1038/ijo.2011.121 · Cited by 130 · see citing works
Personalising nutritional guidance for more effective behaviour change
Celis-Morales, C., Lara, J., & Mathers, J. C. (2015) · Proceedings of the Nutrition Society · doi:10.1017/s0029665114001633 · Cited by 130 · see citing works
Self-citationDifferences in responses to Web and paper surveys among school professionals
Yetter, G., & Capaccioli, K. A. (2010) · Behavior Research Methods · doi:10.3758/brm.42.1.266 · Cited by 123 · see citing works
Personalised nutrition: status and perspectives
Joost, H., Gibney, M. J., Cashman, K. D., Görman, U., Hesketh, J. E., Müller, M. M., van Ommen, B., Williams, C. M., & Mathers, J. C. (2007) · British Journal Of Nutrition · doi:10.1017/s0007114507685195 · Cited by 92 · see citing works
Self-citationCelis-Morales, C., Livingstone, K. M., Woolhead, C., Forster, H., O’Donovan, C. B., Macready, A. L., Fallaize, R., Marsaux, C. F. M., Tsirigoti, L., Efstathopoulou, E., et al. (2015) · Genes & Nutrition · doi:10.1007/s12263-015-0476-0 · Cited by 69 · see citing works
Self-citationHietaranta-Luoma, H.-L., Tahvonen, R., Iso‐Touru, T., Puolijoki, H., & Hopia, A. (2014) · Lifestyle Genomics · doi:10.1159/000371743 · Cited by 68 · see citing works
An insight into the public acceptance of nutrigenomic-based personalised nutrition
Fallaize, R., Macready, A. L., Butler, L. T., Ellis, J. A., & Lovegrove, J. A. (2013) · Nutrition Research Reviews · doi:10.1017/s0954422413000024 · Cited by 68 · see citing works
Self-citationMeisel, S. F., Beeken, R. J., van Jaarsveld, C. H. M., & Wardle, J. (2014) · Obesity · doi:10.1002/oby.20958 · Cited by 56 · see citing works
Health Behavior Change: Can Genomics Improve Behavioral Adherence?
McBride, C. M., Bryan, A. D., Bray, M. S., Swan, G. E., & Green, E. D. (2012) · American Journal of Public Health · doi:10.2105/ajph.2011.300513 · Cited by 56 · see citing works
Profile of European adults interested in internet-based personalised nutrition: the Food4Me study
Livingstone, K. M., Celis-Morales, C. A., Navas‐Carretero, S., San-Cristóbal, R., O’Donovan, C. B., Forster, H., Woolhead, C., Marsaux, C. F. M., Macready, A. L., Fallaize, R., et al. (2015) · European Journal of Nutrition · doi:10.1007/s00394-015-0897-y · Cited by 45 · see citing works
Self-citationEnabling nutrient security and sustainability through systems research
Kaput, J., Kussmann, M., Mendoza, Y. A., Coutre, R. L., Cooper, K., & Roulin, A. (2015) · Genes & Nutrition · doi:10.1007/s12263-015-0462-6 · Cited by 34 · see citing works
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Precision nutrition: A systematic literature review
Kirk, D., Catal, C., & Tekinerdogan, B. (2021) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2021.104365 · Cited by 238 · see citing works
Rossi, M., Aggio, R., Staudacher, H. M., Lomer, M. C., Lindsay, J. O., Irving, P., Probert, C., & Whelan, K. (2018) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2017.09.055 · Cited by 122 · see citing works
Klimenko, N. S., Tyakht, A. V., Popenko, A. S., Vasiliev, A. S., Altukhov, I. A., Ischenko, D. S., Shashkova, T. I., Efimova, D. A., Nikogosov, D. A., Osipenko, D. A., et al. (2018) · Nutrients · doi:10.3390/nu10050576 · Cited by 123 · see citing works
Joshi, S., Shamanna, P., Dharmalingam, M., Vadavi, A., Keshavamurthy, A., Shah, L., & Mechanick, J. I. (2023) · Endocrine Practice · doi:10.1016/j.eprac.2023.08.016 · Cited by 81 · see citing works
Shyam, S., Lee, K. X., Tan, A. S. W., Khoo, T. A., Harikrishnan, S., Lalani, S. A., & Ramadas, A. (2022) · Nutrients · doi:10.3390/nu14194104 · Cited by 76 · see citing works
Personalized dietary management of overweight and obesity based on measures of insulin and glucose
Hjorth, M. F., Zohar, Y., Hill, J. O., & Astrup, A. (2018) · Annual Review of Nutrition · doi:10.1146/annurev-nutr-082117-051606 · Cited by 60 · see citing works
Transtheoretical model-based nutritional interventions in adolescents: a systematic review
Nakabayashi, J., Melo, G. R.-I., & Toral, N. (2020) · BMC Public Health · doi:10.1186/s12889-020-09643-z · Cited by 58 · see citing works
Shamanna, P., Joshi, S., Thajudeen, M., Shah, L., Poon, T., Mohamed, M., & Mohammed, J. (2024) · Frontiers in Endocrinology · doi:10.3389/fendo.2024.1485464 · Cited by 56 · see citing works
“Data were self-reported or collected remotely, introducing potential measurement errors (14).”
Piombo, L., Nicolella, G., Barbarossa, G., Tubili, C., Pandolfo, M. M., Castaldo, M., Costanzo, G., Mirisola, C., & Cavani, A. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17238932 · Cited by 22 · see citing works
Beckenstein, H., Slim, M., Kim, H., Plourde, H., Kilgour, R., & Cohen, T. R. (2021) · Cancer Reports · doi:10.1002/cnr2.1337 · Cited by 19 · see citing works
Hildrey, R., Karner, H., Serrao, J., Lin, C. A., Shanley, E., & Duffy, V. B. (2021) · Foods · doi:10.3390/foods10030579 · Cited by 6 · see citing works
- Authors
- Celis-Morales, C., Livingstone, K. M., 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., & Mathers;, J. C.
- Affiliations
- Newcastle University (GB)
- Maastricht University Medical Centre (NL)
- University of Reading (GB)
- University College Dublin (IE)
- Harokopio University of Athens (GR)
- Technical University of Munich (DE)
- Instytut Zywnosci Zywienia (PL)
- University of Oslo (NO)
- Netherlands Organisation for Applied Scientific Research (NL)
- Corresponding author
- Celis-Morales, Carlos
- Livingstone, Katherine M.
- ORCID
- Celis-Morales, Carlos
- Livingstone, Katherine M.
- Marsaux, Cyril F. M.
- Macready, Anna L.
- Fallaize, Rosalind
- O’Donovan, Clare B.
- Woolhead, Clara
- Forster, Hannah
- Walsh, Marianne C.
- Lambrinou, Christina P.
- Mavrogianni, Christina
- Moschonis, George
- Kolossa, Silvia
- Hallmann, Jacqueline
- Godlewska, Magdalena
- Surwiłło, Agnieszka
- Traczyk, Iwona
- Drevon, Christian A.
- Bouwman, Jildau
- Grimaldi, Keith
- Parnell, Laurence D.
- Matthews, John N.S.
- Daniel, Hannelore
- Lovegrove, Julie A.
- Gibney, Eileen R.
- Brennan, Lorraine
- Saris, Wim H. M.
- Gibney, Mike
- Venue
- International Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2016-08-14
- Volume
- 46
- Issue
- 2
- Pages
- dyw186
- ISSN
- 0300-5771 (ISSN-L)
- 1464-3685
- OpenAlex
- W2516593410
- Cited by
- 399
- References
- 27
- Citations by year
- 2026: 26 · 2025: 45 · 2024: 45 · 2023: 42 · 2022: 53 · 2021: 41 · 2020: 42 · 2019: 47 · 2018: 28 · 2017: 23 · 2016: 5 · 2012: 1
- FWCI
- 27.74
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- International Journal of Epidemiology (publishedVersion)
- PubMed (publishedVersion)
- CentAUR (University of Reading) (acceptedVersion)
- ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) (acceptedVersion)
- University of Hertfordshire Research Archive (University of Hertfordshire) (acceptedVersion)
- Research Publications (Maastricht University) (submittedVersion, other-oa)
- University of Hertfordshire Research Archive (University of Hertfordshire) (submittedVersion)
- Own your potential (DEAKIN) (submittedVersion)
- Figshare (submittedVersion, cc-by)
- Newcastle University ePrints (Newcastle Univesity)
- Funders
- European Commission (265494)
- Rijksuniversiteit Groningen
- Medical Research Council (MR/K006312/1)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Nutrition, Genetics, and Disease
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutritional Studies and Diet
- Health Sciences › Nursing › Nutrition and Dietetics › Nutrition, Health and Food Behavior
- Keywords
- personalized nutrition, dietary behavior change, online intervention, phenotyping, anthropometry, blood biomarkers, red meat consumption, salt intake, saturated fat intake, folate intake, Healthy Eating Index, dietary recommendations
- MeSH terms
- Adolescent, Adult, Aged, Diet, Europe, Female, Genotype, Health Education, Humans, Life Style, Male, Middle Aged, Nutritional Requirements, Phenotype, Genetic Variation, Health Behavior, Exercise, Body Mass Index, Internet, Young Adult, Precision Medicine
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