ArticleGenes & nutrition2015
Consumer adoption of personalised nutrition services from the perspective of a risk-benefit trade-off.
Article in Genes & nutrition, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.
- Emerging Technologies for Investigating Food Consumer Behavior: A Systematic Review.Comprehensive reviews in food science and food safety · 2025Pooled it
- Trial
- Public perceptions of biospecimen sampling and uncertainty in the context of personalised nutrition.PloS one · 2025Article
- Factors influencing the intention of young adults to adopt genotype-based personalised advice on diet and physical activity according to perceived weight status.Journal of nutritional science · 2024Article
- The Impact of Both Individual and Contextual Factors on the Acceptance of Personalized Dietary Advice.Nutrients · 2022Article
- Short and Long-Term Innovations on Dietary Behavior Assessment and Coaching: Present Efforts and Vision of the Pride and Prejudice Consortium.International journal of environmental research and public health · 2021Article
- Knowledge, opinions and expectations of adults concerning personalised genotype-based dietary recommendations: a German survey.Public health nutrition · 2021Article
- Consumer acceptance of genetic-based personalized nutrition in Hungary.Genes & nutrition · 2021Article
- Personalized Nutrition Advice: Preferred Ways of Receiving Information Related to Psychological Characteristics.Frontiers in psychology · 2021Article
- Predictors of stakeholders' intention to adopt nutrigenomics.Genes & nutrition · 2020Article
- Consumer acceptance of personalised nutrition: The role of ambivalent feelings and eating context.PloS one · 2020Article
- Targeting the delivery of dietary plant bioactives to those who would benefit most: from science to practical applications.European journal of nutrition · 2019Review
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Through a Privacy Calculus (i.e. risk-benefit trade-off) lens, this study identifies factors that contribute to consumers' adoption of personalised nutrition services. We argue that consumers' intention to adopt personalised nutrition services is determined by perceptions of Privacy Risk, Personalisation Benefit, Information Control, Information Intrusiveness, Service Effectiveness, and the Benevolence, Integrity, and Ability of a service provider. Data were collected in eight European countries using an online survey. Results confirmed a robust and Europe-wide applicable cognitive model, showing that consumers' intention to adopt personalised nutrition services depends more on Perceived Personalisation Benefit than on Perceived Privacy Risk. Perceived Privacy Risk was mainly determined by perceptions of Information Control, whereas Perceived Personalisation Benefit primarily depended on Perceived Service Effectiveness. Services that required increasingly intimate personal information, and in particular DNA, raised consumers' Privacy Risk perceptions, but failed to increase perceptions of Personalisation Benefit. Accordingly, to successfully exploit personalised nutrition, service providers should convey a clear message regarding the benefits and effectiveness of personalised nutrition services. Furthermore, service providers may reduce Privacy Risk by increasing consumer perceptions of Information Control. To enhance perceptions of both Information Control and Service Effectiveness, service providers should make sure that consumers perceive them as competent and reliable.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.