European Journal of Nutrition

, Volume 55, Issue 2, pp 759–769 | Cite as

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

  • Katherine M. Livingstone
  • Carlos Celis-Morales
  • Santiago Navas-Carretero
  • Rodrigo San-Cristobal
  • Clare B. O’Donovan
  • Hannah Forster
  • Clara Woolhead
  • Cyril F. M. Marsaux
  • Anna L. Macready
  • Rosalind Fallaize
  • Silvia Kolossa
  • Lydia Tsirigoti
  • Christina P. Lambrinou
  • George Moschonis
  • Magdalena Godlewska
  • Agnieszka Surwiłło
  • Christian A. Drevon
  • Yannis Manios
  • Iwona Traczyk
  • Eileen R. Gibney
  • Lorraine Brennan
  • Marianne C. Walsh
  • Julie A. Lovegrove
  • J. Alfredo Martinez
  • Wim H. Saris
  • Hannelore Daniel
  • Mike Gibney
  • John C. Mathers
Original Contribution

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.

Keywords

Personalised nutrition European profile Tailored intervention Internet-based Randomised controlled trial 

Abbreviations

CVD

Cardiovascular disease

FFQ

Food frequency questionnaire

NCD

Non-communicable diseases

PN

Personalised nutrition

PoP

Proof of principle

RCT

Randomised controlled trial

Supplementary material

394_2015_897_MOESM1_ESM.docx (3.8 mb)
Supplementary material 1 (DOCX 3932 kb)

References

  1. 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. 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. 3.
    Ketola E, Sipilä R, Mäkelä M (2000) Effectiveness of individual lifestyle interventions in reducing cardiovascular disease and risk factors. Ann Med 32(4):239–251CrossRefGoogle Scholar
  4. 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. 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):60CrossRefGoogle Scholar
  6. 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. 7.
    Hood L, Friend SH (2011) Predictive, personalized, preventive, participatory (P4) cancer medicine. Nat Rev Clin Oncol 8(3):184–187CrossRefGoogle Scholar
  8. 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 CrossRefGoogle Scholar
  9. 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 CrossRefGoogle Scholar
  10. 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 CrossRefGoogle Scholar
  11. 11.
  12. 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 CrossRefGoogle Scholar
  13. 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 CrossRefGoogle Scholar
  14. 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):e150CrossRefGoogle Scholar
  15. 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. 16.
  17. 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 CrossRefGoogle Scholar
  18. 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):675–685CrossRefGoogle Scholar
  19. 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. 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):200CrossRefGoogle Scholar
  21. 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. 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 CrossRefGoogle Scholar
  23. 23.
  24. 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. 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 27:80–85CrossRefGoogle Scholar
  26. 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 CrossRefGoogle Scholar
  27. 27.
  28. 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. 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. 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 CrossRefGoogle Scholar
  31. 31.
    Cook C (2010) Mode of administration bias. J Man Manip Ther 18(2):61–63. doi:10.1179/106698110X12640740712617 CrossRefGoogle Scholar
  32. 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 CrossRefGoogle Scholar
  33. 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. 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):E78Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  • Katherine M. Livingstone
    • 1
  • Carlos Celis-Morales
    • 1
  • Santiago Navas-Carretero
    • 2
    • 3
  • Rodrigo San-Cristobal
    • 2
    • 3
  • Clare B. O’Donovan
    • 4
  • Hannah Forster
    • 4
  • Clara Woolhead
    • 4
  • Cyril F. M. Marsaux
    • 5
  • Anna L. Macready
    • 6
  • Rosalind Fallaize
    • 6
  • Silvia Kolossa
    • 7
  • Lydia Tsirigoti
    • 8
  • Christina P. Lambrinou
    • 8
  • George Moschonis
    • 8
  • Magdalena Godlewska
    • 9
  • Agnieszka Surwiłło
    • 9
  • Christian A. Drevon
    • 10
  • Yannis Manios
    • 8
  • Iwona Traczyk
    • 9
  • Eileen R. Gibney
    • 4
  • Lorraine Brennan
    • 4
  • Marianne C. Walsh
    • 4
  • Julie A. Lovegrove
    • 6
  • J. Alfredo Martinez
    • 2
    • 3
  • Wim H. Saris
    • 5
  • Hannelore Daniel
    • 7
  • Mike Gibney
    • 4
  • John C. Mathers
    • 1
  1. 1.Human Nutrition Research Centre, Institute of Cellular MedicineNewcastle UniversityNewcastle upon TyneUK
  2. 2.Center for Nutrition ResearchUniversity of NavarraPamplonaSpain
  3. 3.CIBER Fisiopatología Obesidad y Nutrición (CIBERobn)Instituto de Salud Carlos IIIMadridSpain
  4. 4.UCD Institute of Food and HealthUniversity College DublinBelfield, Dublin 4Republic of Ireland
  5. 5.Department of Human Biology, NUTRIM School for Nutrition, Toxicology and MetabolismMaastricht University Medical CentreMaastrichtThe Netherlands
  6. 6.Hugh Sinclair Unit of Human Nutrition and Institute for Cardiovascular and Metabolic ResearchUniversity of ReadingReadingUK
  7. 7.ZIEL Research Center of Nutrition and Food Sciences, Biochemistry UnitTechnische Universität MünchenMunichGermany
  8. 8.Department of Nutrition and DieteticsHarokopio UniversityAthensGreece
  9. 9.National Food and Nutrition Institute, (IZZ)WarsawPoland
  10. 10.Department of Nutrition, Institute of Basic Medical Sciences, Faculty of MedicineUniversity of OsloOsloNorway

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