Literature DB >> 22903899

Nutrigenomics-based personalised nutritional advice: in search of a business model?

Amber Ronteltap1, Hans van Trijp, Aleksandra Berezowska, Jo Goossens.   

Abstract

Nutritional advice has mainly focused on population-level recommendations. Recent developments in nutrition, communication, and marketing sciences have enabled potential deviations from this dominant business model in the direction of personalisation of nutrition advice. Such personalisation efforts can take on many forms, but these have in common that they can only be effective if they are supported by a viable business model. The present paper takes an inventory of approaches to personalised nutrition currently available in the market place as its starting point to arrive at an identification of their underlying business models. This analysis is presented as a unifying framework against which the potential of nutrigenomics-based personalised advice can be assessed. It has uncovered nine archetypical approaches to personalised nutrition advice in terms of their dominant underlying business models. Differentiating features among such business models are the type of information that is used as a basis for personalisation, the definition of the target group, the communication channels that are being adopted, and the partnerships that are built as a part of the business model. Future research should explore the consumer responses to the diversity of "archetypical" business models for personalised nutrition advice as a source of market information on which the delivery of nutrigenomics-based personalised nutrition advice may further build.

Year:  2012        PMID: 22903899      PMCID: PMC3575884          DOI: 10.1007/s12263-012-0308-4

Source DB:  PubMed          Journal:  Genes Nutr        ISSN: 1555-8932            Impact factor:   5.523


  14 in total

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Journal:  Patient Educ Couns       Date:  1999-02

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Authors:  Kevin H Sutton
Journal:  Mutat Res       Date:  2007-03-12       Impact factor: 2.433

Review 4.  Consumer acceptance of technology-based food innovations: lessons for the future of nutrigenomics.

Authors:  A Ronteltap; J C M van Trijp; R J Renes; L J Frewer
Journal:  Appetite       Date:  2007-02-24       Impact factor: 3.868

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Authors:  Mia Liza A Lustria; Juliann Cortese; Seth M Noar; Robert L Glueckauf
Journal:  Patient Educ Couns       Date:  2008-10-22

6.  Consumer acceptance of personalised nutrition.

Authors:  Amber Ronteltap; Hans van Trijp
Journal:  Genes Nutr       Date:  2007-10       Impact factor: 5.523

7.  Attitudes toward genetic testing and personalised nutrition in a representative sample of European consumers.

Authors:  Barbara J Stewart-Knox; Brendan P Bunting; Sarah Gilpin; Heather J Parr; Silvia Pinhão; J J Strain; Maria D V de Almeida; Mike Gibney
Journal:  Br J Nutr       Date:  2008-09-08       Impact factor: 3.718

8.  Consumer acceptance of nutrigenomics-based personalised nutrition.

Authors:  A Ronteltap; J C M van Trijp; R J Renes
Journal:  Br J Nutr       Date:  2009-01       Impact factor: 3.718

9.  Personalised food: how personal is it?

Authors:  Dilip Ghosh
Journal:  Genes Nutr       Date:  2009-09-11       Impact factor: 5.523

Review 10.  Past, present, and future of computer-tailored nutrition education.

Authors:  Johannes Brug; Anke Oenema; Marci Campbell
Journal:  Am J Clin Nutr       Date:  2003-04       Impact factor: 7.045

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  8 in total

1.  Risks of nutrigenomics and nutrigenetics? What the scientists say.

Authors:  T Hurlimann; V Menuz; J Graham; J Robitaille; M-C Vohl; B Godard
Journal:  Genes Nutr       Date:  2013-11-29       Impact factor: 5.523

2.  Consumers on the Internet: ethical and legal aspects of commercialization of personalized nutrition.

Authors:  Jennie Ahlgren; Anders Nordgren; Maud Perrudin; Amber Ronteltap; Jean Savigny; Hans van Trijp; Karin Nordström; Ulf Görman
Journal:  Genes Nutr       Date:  2013-03-08       Impact factor: 5.523

3.  The perceived impact of the National Health Service on personalised nutrition service delivery among the UK public.

Authors:  Rosalind Fallaize; Anna L Macready; Laurie T Butler; Judi A Ellis; Aleksandra Berezowska; Arnout R H Fischer; Marianne C Walsh; Caroline Gallagher; Barbara J Stewart-Knox; Sharon Kuznesof; Lynn J Frewer; Mike J Gibney; Julie A Lovegrove
Journal:  Br J Nutr       Date:  2015-03-27       Impact factor: 3.718

Review 4.  Nutrigenomics: definitions and advances of this new science.

Authors:  N M R Sales; P B Pelegrini; M C Goersch
Journal:  J Nutr Metab       Date:  2014-03-25

5.  Psychological determinants of consumer acceptance of personalised nutrition in 9 European countries.

Authors:  Rui Poínhos; Ivo A van der Lans; Audrey Rankin; Arnout R H Fischer; Brendan Bunting; Sharron Kuznesof; Barbara Stewart-Knox; Lynn J Frewer
Journal:  PLoS One       Date:  2014-10-21       Impact factor: 3.240

Review 6.  The effect of communicating the genetic risk of cardiometabolic disorders on motivation and actual engagement in preventative lifestyle modification and clinical outcome: a systematic review and meta-analysis of randomised controlled trials.

Authors:  Sherly X Li; Zheng Ye; Kevin Whelan; Helen Truby
Journal:  Br J Nutr       Date:  2016-07-13       Impact factor: 3.718

7.  Consumer adoption of personalised nutrition services from the perspective of a risk-benefit trade-off.

Authors:  Aleksandra Berezowska; Arnout R H Fischer; Amber Ronteltap; Ivo A van der Lans; Hans C M van Trijp
Journal:  Genes Nutr       Date:  2015-09-25       Impact factor: 5.523

8.  Perspective: Metabotyping-A Potential Personalized Nutrition Strategy for Precision Prevention of Cardiometabolic Disease.

Authors:  Marie Palmnäs; Carl Brunius; Lin Shi; Agneta Rostgaard-Hansen; Núria Estanyol Torres; Raúl González-Domínguez; Raul Zamora-Ros; Ye Lingqun Ye; Jytte Halkjær; Anne Tjønneland; Gabriele Riccardi; Rosalba Giacco; Giuseppina Costabile; Claudia Vetrani; Jens Nielsen; Cristina Andres-Lacueva; Rikard Landberg
Journal:  Adv Nutr       Date:  2020-05-01       Impact factor: 8.701

  8 in total

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