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Making personalised nutrition the easy choice: Creating policies to break down the barriers and reap the benefits

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  • Stewart-Knox, B.J.
  • Markovina, J.
  • Rankin, A.
  • Bunting, B.P.
  • Kuznesof, S.
  • Fischer, A.R.H.
  • van der Lans, I.A.
  • Poínhos, R.
  • de Almeida, M.D.V.
  • Panzone, L.
  • Gibney, M.
  • Frewer, L.J.

Abstract

Personalised diets based on people’s existing food choices, and/or phenotypic, and/or genetic information hold potential to improve public dietary-related health. The aim of this analysis, therefore, has been to examine the degree to which factors which determine uptake of personalised nutrition vary between EU countries to better target policies to encourage uptake, and optimise the health benefits of personalised nutrition technology. A questionnaire developed from previous qualitative research was used to survey nationally representative samples from 9 EU countries (N=9381). Perceived barriers to the uptake of personalised nutrition comprised three factors (data protection; the eating context; and, societal acceptance). Trust in sources of information comprised four factors (commerce and media; practitioners; government; family and, friends). Benefits comprised a single factor. Analysis of Variance (ANOVA) was employed to compare differences in responses between the United Kingdom; Ireland; Portugal; Poland; Norway; the Netherlands; Germany; and, Spain. The results indicated that respondents in Greece, Poland, Ireland, Portugal and Spain, rated the benefits of personalised nutrition highest, suggesting a particular readiness in these countries to adopt personalised nutrition interventions. Greek participants were more likely to perceive the social context of eating as a barrier to adoption of personalised nutrition, implying a need for support in negotiating social situations while on a prescribed diet. Those in Spain, Germany, Portugal and Poland scored highest on perceived barriers related to data protection. Government was more trusted than commerce to deliver and provide information on personalised nutrition overall. This was particularly the case in Ireland, Portugal and Greece, indicating an imperative to build trust, particularly in the ability of commercial service providers to deliver personalised dietary regimes effectively in these countries. These findings, obtained from a nationally representative sample of EU citizens, imply that a parallel, integrated, public-private delivery system would capture the needs of most potential consumers.

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  • Stewart-Knox, B.J. & Markovina, J. & Rankin, A. & Bunting, B.P. & Kuznesof, S. & Fischer, A.R.H. & van der Lans, I.A. & Poínhos, R. & de Almeida, M.D.V. & Panzone, L. & Gibney, M. & Frewer, L.J., 2016. "Making personalised nutrition the easy choice: Creating policies to break down the barriers and reap the benefits," Food Policy, Elsevier, vol. 63(C), pages 134-144.
    • Handle: RePEc:eee:jfpoli:v:63:y:2016:i:c:p:134-144
    DOI: 10.1016/j.foodpol.2016.08.001
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    References listed on IDEAS

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    1. Mazzocchi, Mario & Traill, W. Bruce & Shogren, Jason F., 2009. "Fat Economics: Nutrition, Health, and Economic Policy," OUP Catalogue, Oxford University Press, number 9780199213863.
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    1. Lynn J. Frewer, 2017. "Consumer acceptance and rejection of emerging agrifood technologies and their applications," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 44(4), pages 683-704.
    2. Freire, Tiago & Rudkin, Simon, 2019. "Healthy food diversity and supermarket interventions: Evidence from the Seacroft Intervention Study," Food Policy, Elsevier, vol. 83(C), pages 125-138.
    3. Behera, Rajat Kumar & Gunasekaran, Angappa & Gupta, Shivam & Kamboj, Shampy & Bala, Pradip Kumar, 2020. "Personalized digital marketing recommender engine," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).
    4. Ramazan Esmeli & Mohamed Bader-El-Den & Hassana Abdullahi, 2021. "Towards early purchase intention prediction in online session based retailing systems," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(3), pages 697-715, September.

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