Skip to main content

Advertisement

Log in

Profile of European adults interested in internet-based personalised nutrition: the Food4Me study

  • Original Contribution
  • Published:
European Journal of Nutrition Aims and scope Submit manuscript

An Erratum to this article was published on 12 March 2016

Abstract

Purpose

Personalised interventions may have greater potential for reducing the global burden of non-communicable diseases and for promoting better health and well-being across the lifespan than the conventional “one size fits all” approach. However, the characteristics of individuals interested in personalised nutrition (PN) are unclear. Therefore, the aim of this study was to describe the characteristics of European adults interested in taking part in an internet-based PN study.

Methods

Individuals from seven European countries (UK, Ireland, Germany, The Netherlands, Spain, Greece and Poland) were invited to participate in the study via the Food4Me website (http://www.food4me.org). Two screening questionnaires were used to collect data on socio-demographic, anthropometric and health-related characteristics as well as dietary intakes.

Results

A total of 5662 individuals expressed an interest in the study (mean age 40 ± 12.7; range 15–87 years). Of these, 65 % were female and 97 % were Caucasian. Overall, 13 % were smokers and 47 % reported the presence of a clinically diagnosed disease. Furthermore, 47 % were overweight or obese and 35 % were sedentary during leisure time. Assessment of dietary intakes showed that 54 % of individuals reported consuming at least 5 portions of fruit and vegetables per day, 46 % consumed more than 3 servings of wholegrains and 37 % limited their salt intake to <5.75 g per day.

Conclusions

Our data indicate that individuals volunteering to participate in an internet-based PN study are broadly representative of the European adult population, most of whom had adequate nutrient intakes but could benefit from improved dietary choices and greater physical activity. Future use of internet-based PN approaches is thus relevant to a wide target audience.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

Abbreviations

CVD:

Cardiovascular disease

FFQ:

Food frequency questionnaire

NCD:

Non-communicable diseases

PN:

Personalised nutrition

PoP:

Proof of principle

RCT:

Randomised controlled trial

References

  1. Alwan A (2010) Global status report on noncommunicable diseases 2010. http://whqlibdoc.who.int/publications/2011/9789240686458_eng.pdf?ua=1. Accessed 28 Aug 2014

  2. Nichols M, Townsend N, Luengo-Fernandez R, Leal J, Gray A, Scarborough P, Rayner M (2012) European Cardiovascular Disease Statistics. http://www.escardio.org/about/Documents/EU-cardiovascular-disease-statistics-2012.pdf. Accessed 4 Sept 2014

  3. Ketola E, Sipilä R, Mäkelä M (2000) Effectiveness of individual lifestyle interventions in reducing cardiovascular disease and risk factors. Ann Med 32(4):239–251

    Article  CAS  Google Scholar 

  4. Health and Social Care Information Centre NHS (2012) Health Survey for England—2011, Trend tables. http://www.hscic.gov.uk/catalogue/PUB09302. Accessed 20 Aug 2014

  5. Lara J, Hobbs N, Moynihan PJ, Meyer TD, Adamson AJ, Errington L, Rochester L, Sniehotta FF, White M, Mathers JC (2014) Effectiveness of dietary interventions among adults of retirement age: a systematic review and meta-analysis of randomized controlled trials. BMC Med 8(12):60

    Article  Google Scholar 

  6. Celis-Morales C, Lara J, Mathers JC (2014) Personalising nutritional guidance for more effective behaviour change. Proc Nutr Soc FirstView. doi:10.1017/S0029665114001633

    Google Scholar 

  7. Hood L, Friend SH (2011) Predictive, personalized, preventive, participatory (P4) cancer medicine. Nat Rev Clin Oncol 8(3):184–187

    Article  Google Scholar 

  8. Gibney MJ, Walsh MC (2013) The future direction of personalised nutrition: my diet, my phenotype, my genes. Proc Nutr Soc 72(02):219–225. doi:10.1017/S0029665112003436

    Article  Google Scholar 

  9. Dar-Nimrod I, Cheung BY, Ruby MB, Heine SJ (2014) Can merely learning about obesity genes affect eating behavior? Appetite 81:269–276. doi:10.1016/j.appet.2014.06.109

    Article  Google Scholar 

  10. Stewart-Knox BJ, Bunting BP, Gilpin S, Parr HJ, Pinhão S, Strain JJ, de Almeida MDV, Gibney M (2009) Attitudes toward genetic testing and personalised nutrition in a representative sample of European consumers. Br J Nutr 101(07):982–989. doi:10.1017/S0007114508055657

    Article  CAS  Google Scholar 

  11. Eurostat (2010) Life Online. https://ec.europa.eu/digital-agenda/sites/digital-agenda/files/scoreboard_life_online.pdf. Accessed 4 Sept 2014

  12. Celis-Morales C, Livingstone KM, Marsaux CM, Forster H, O’Donovan C, Woolhead C, Macready A, Fallaize R, Navas-Carretero S, San-Cristobal R, Kolossa S, Hartwig K, Tsirigoti L, Lambrinou C, Moschonis G, Godlewska M, Surwiłło A, Grimaldi K, Bouwman J, Daly EJ, Akujobi V, O’Riordan R, Hoonhout J, Claassen A, Hoeller U, Gundersen T, Kaland S, Matthews JS, Manios Y, Traczyk I, Drevon C, Gibney E, Brennan L, Walsh M, Lovegrove J, Alfredo Martinez J, Saris WM, Daniel H, Gibney M, Mathers J (2015) Design and baseline characteristics of the Food4Me study: a web-based randomised controlled trial of personalised nutrition in seven European countries. Genes Nutr 10(1):1–13. doi:10.1007/s12263-014-0450-2

    Article  Google Scholar 

  13. Fallaize R, Forster H, Macready LA, Walsh CM, Mathers CJ, Brennan L, Gibney RE, Gibney JM, Lovegrove AJ (2014) Online dietary intake estimation: reproducibility and validity of the food4me food frequency questionnaire against a 4-day weighed food record. J Med Internet Res 16(8):e190. doi:10.2196/jmir.3355

    Article  Google Scholar 

  14. Forster HFR, Gallagher C, O’Donovan CB, Woolhead C, Walsh MC, Macready AL, Lovegrove JA, Mathers JC, Gibney MJ, Brennan L, Gibney ER (2014) Online dietary intake estimation: the Food4Me food frequency questionnaire. J Med Internet Res 16(6):e150

    Article  Google Scholar 

  15. World Health Organization (2003) Diet, nutrition and the prevention of chronic diseases. Report of a Joint FAO/WHO Expert Consultation. (WHO Technical Report Series, No. 916). http://whqlibdoc.who.int/trs/who_trs_916.pdf. Accessed 7 Oct 2014

  16. World Health Organization (2013) Country profiles on nutrition, physical activity and obesity. http://www.euro.who.int/en/publications/abstracts/country-profiles-on-nutrition,-physical-activity-and-obesity-in-the-53-who-european-region-member-states.-methodology-and-summary-2013. Accessed 7 Oct 2014

  17. French SA, Jeffery RW, Wing RR (1994) Sex differences among participants in a weight-control program. Addict Behav 19(2):147–158. doi:10.1016/0306-4603(94)90039-6

    Article  CAS  Google Scholar 

  18. Kodama S, Saito K, Tanaka S, Horikawa C, Fujiwara K, Hirasawa R, Yachi Y, Iida KT, Shimano H, Ohashi Y, Yamada N, Sone H (2012) Effect of web-based lifestyle modification on weight control: a meta-analysis. Int J Obesity 36(5):675–685

    Article  CAS  Google Scholar 

  19. World Health Organization (2014) The challenge of obesity—quick statistics. http://www.euro.who.int/en/health-topics/noncommunicable-diseases/obesity/data-and-statistics. Accessed 28 June 2014

  20. Berghofer A, Pischon T, Reinhold T, Apovian C, Sharma A, Willich S (2008) Obesity prevalence from a European perspective: a systematic review. BMC Public Health 8(1):200

    Article  Google Scholar 

  21. OECD (2012) Health at a glance: Europe 2012. http://ec.europa.eu/health/reports/docs/health_glance_2012_en.pdf. Accessed 7 Oct 2014

  22. Mora S, Cook N, Buring JE, Ridker PM, Lee IM (2007) Physical activity and reduced risk of cardiovascular events: potential mediating mechanisms. Circulation 116(19):2110–2118. doi:10.1161/circulationaha.107.729939

    Article  CAS  Google Scholar 

  23. Physical activity and health in Europe: evidence for action (2006) http://www.euro.who.int/en/health-topics/disease-prevention/physical-activity/publications/2006/physical-activity-and-health-in-europe-evidence-for-action. Accessed 28 June 2014

  24. European Fresh Produce Association (2012) A Review of the EU regime for the fruit and vegetables sector. http://ec.europa.eu/agriculture/fruit-and-vegetables/policy/consultation/registered-organisations/freshfel_en.pdf. Accessed 9 Oct 2014

  25. Krebs-Smith SM, Heimendinger J, Subar AF, Patterson BH, Pivonka E (1995) Using food frequency questionnaires to estimate fruit and vegetable intake: association between the number of questions and total intake. J Nutr Educ 27:80–85

    Article  Google Scholar 

  26. Cade JE, Burley VJ, Warm DL, Thompson RL, Margetts BM (2004) Food-frequency questionnaires: a review of their design, validation and utilisation. Nutr Res Rev 17(01):5–22. doi:10.1079/NRR200370

    Article  CAS  Google Scholar 

  27. SACN (2014) Draft carbohydrates and health report. https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/339771/Draft_SACN_Carbohydrates_and_Health_report_consultation.pdf. Accessed 10 Oct 2014

  28. World Health Organisation (2014) WHO opens public consultation on draft sugars guideline. http://www.who.int/mediacentre/news/notes/2014/consultation-sugar-guideline/en/. Accessed 1 Oct 2014

  29. Bates B, Lennox A, Prentice A, Bates C, Page P, Nicholson SK, Swan G (2014) National diet and nutrition survey results from years 1, 2, 3 and 4 (combined) of the rolling programme (2008/2009–2011/2012). https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/310995/NDNS_Y1_to_4_UK_report.pdf. Accessed 5 Oct 2014

  30. Nwaru BI, Hickstein L, Panesar SS, Roberts G, Muraro A, Sheikh A, The EFA Anaphylaxis Guidelines G (2014) Prevalence of common food allergies in Europe: a systematic review and meta-analysis. Allergy 69(8):992–1007 doi:10.1111/all.12423

    Article  CAS  Google Scholar 

  31. Cook C (2010) Mode of administration bias. J Man Manip Ther 18(2):61–63. doi:10.1179/106698110X12640740712617

    Article  Google Scholar 

  32. Pursey K, Burrows LT, Stanwell P, Collins EC (2014) How accurate is web-based self-reported height, weight, and body mass index in young adults? J Med Internet Res 16(1):e4. doi:10.2196/jmir.2909

    Article  Google Scholar 

  33. Institute of Medicine (2010) Strategies to reduce sodium intake in the United States. http://www.iom.edu/Reports/2010/Strategies-to-Reduce-Sodium-Intake-in-the-United-States.aspx. Accessed 5 Oct 2014

  34. Celis-Morales C, Forster H, O'Donovan C, Woolhead C, Marsaux C, Fallaize R, Macready AL, Kolossa S, Navas-Carretero S, San-Cristobal R, Tsirigoti L, Lambrinou CP, Godlewska M, Surwillo A, Gibney E, Brennan L, Walsh M, Drevon C, Manios Y, Traczyk I, Martinez JA, Lovegrove JA, Saris W, Daniel H, Gibney M, Mathers JC (2014) Validation of Web-based self-reported socio-demographic and anthropometric data collected in the Food4Me Study. Proc Nutr Soc 73(OCE2):E78

Download references

Acknowledgments

Study approval: The Food4Me study has been reviewed and approved by seven independent ethical research committees in each of the countries involved in the trial. Patient consent: All participants, both screened and randomised, have given consent to take part in this study. Funding statement: This work was supported by the European Commission under the Food, Agriculture, Fisheries and Biotechnology Theme of the 7th Framework Programme for Research and Technological Development [265494].

Conflict of interest

None of the authors had a personal or financial conflict of interest.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to John C. Mathers.

Additional information

Trial registration—Clinicaltrials.gov NCT01530139 (http://clinicaltrials.gov/show/NCT01530139).

On behalf of the Food4Me Study.

Katherine M Livingstone and Carlos Celis-Morales are joint first authors.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (DOCX 3932 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Livingstone, K.M., Celis-Morales, C., Navas-Carretero, S. et al. Profile of European adults interested in internet-based personalised nutrition: the Food4Me study. Eur J Nutr 55, 759–769 (2016). https://doi.org/10.1007/s00394-015-0897-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00394-015-0897-y

Keywords

Navigation