Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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    We will mail you new results for this query: keywords==individual feeding
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Health in exchange for privacy : the adoption of personalised nutrition advices
Berezowska, A. - \ 2016
Wageningen University. Promotor(en): Hans van Trijp, co-promotor(en): Arnout Fischer. - Wageningen : Wageningen University - ISBN 9789462578227 - 165 p.
diet studies - privacy - cognitive psychology - nutrition and health - individual feeding - dieetstudies - cognitieve psychologie - voeding en gezondheid - individuele voeding

To prevent disease and optimise health, nutrition advice is personalised based on an individuals’ lifestyle, health status and/or genetics. Although due to its high degree of personal relevance personalised nutrition advice is highly beneficial, the adoption of such advice may be hindered by the fact that it requires disclosure of personal and sensitive health information which induces the potential risk of privacy loss. This thesis investigates individuals’ intention to adopt personalised nutrition advice from the perspective of a trade-off between perceived privacy risk and perceived personalisation benefit. To understand this trade-off knowledge regarding factors that affect individuals’ perceptions of privacy risk and personalisation benefit is key. This thesis studies such factors by addressing three research lines: 1) How does service design affect the risk-benefit trade-off?; 2) What is the cognitive process behind the risk-benefit trade-off?; 3) How is the cognitive process that drives the risk-benefit trade-off affected by self-regulation?

An overview of personalised nutrition services currently available in the market place shows that the design of personalised nutrition services mainly differs in terms of service providers, the used communication channels, advice scope, and advice frequency (Chapter 2). The required personal information hardly differs between services, with information related to lifestyle and health status being most common. When compared to lifestyle and health status, perceptions of privacy risk increase when a personalised nutrition service requires genotypic information (Chapters 3 and 4). Disclosure of genotypic information does, however, not increase perceptions of personalisation benefit. Furthermore, perceptions of personalisation benefit increase and perceptions of privacy risk decrease when a personalised nutrition service allows for face-to-face communication. In addition, perceptions of personalisation benefit increase when services provide regular follow-up and combined dietary advice with physical activity.

The cognitive process is driven by the trustworthiness and competence of service providers (Chapters 3 and 4). The more trustworthy a service provider seems to be the more control individuals perceive to have over the disclosed personal information, which reduces perceptions of privacy risk. In terms of competence, service providers that induce high perception of competence increase the extent to which a personalised nutrition service is perceived as effective, which in turn amplifies individuals’ perceptions of personalisation benefit. Within the trade-off between perceived privacy risk and perceived personalisation benefit, benefits weigh heavier than risks independent of individuals’ nationality.

Whether individuals eat healthily by volition (i.e. autonomous motivation) or because they feel forced to do so (i.e. controlled motivation) affects the extent to which perceived privacy risk, perceived personalisation benefit, and their determinants predict adoption intention (Chapter 5). Within this cognitive process, high levels of autonomous motivation strengthen relations related to perceived personalisation benefit and weaken relations related to perceived privacy risk. In contrast to autonomous motivation, high levels of controlled motivation strengthen relations related to perceived privacy risk and weaken relations related to perceived personalisation benefit. Autonomous individuals therefore seem to pay more attention to personalisation benefit, while controlled individuals seem to pay more attention to privacy risk. The trustworthiness of a service provider is relevant to all, regardless the level of autonomous or controlled motivation.

Individual’s motivation to either prevent negative outcomes (i.e. prevention focus) or promote positive outcomes (i.e. promotion focus), called regulatory focus also affects perceptions of privacy risk and personalisation benefit (Chapter 6). The effect of the different regulatory foci on perceptions of privacy risk and personalisation benefit occurs through the interaction between an individual’s regulatory focus and the timing of health outcomes. Individuals focused on prevention have lower perceptions of privacy risk and higher perceptions of personalisation benefit when health outcomes are immediate rather than delayed. In the case of individuals with a promotion focus offering immediate or delayed health outcomes does not affect perceptions of privacy risk or perceptions of personalisation benefit.

Overall, this thesis shows that individuals’ intention to adopt personalised nutrition advice mainly depends on perceptions of personalisation benefit, which are largely determined by one’s confidence in the effectiveness of the personalised nutrition service. Individual differences related to motivations do, however, affect the extent to which perceived personalisation benefit determines adoption intention.

Voersysteem voor het individueel voeren van vleesvarkens: 'Voeren op maat' : de ontwikkeling van een nieuw voersysteem binnen project 'Vitale vleesvarkens'
Dirx-Kuijken, N.C.P.M.M. ; Peet-Schwering, C.M.C. van der; Hoofs, A.I.J. - \ 2012
Lelystad : Wageningen UR Livestock Research (Rapport / Wageningen UR Livestock Research 600) - 18
varkenshouderij - vleesproductie - varkensvoeding - voedersystemen - individuele voeding - identificatie - individuele kenmerken - pig farming - meat production - pig feeding - feeding systems - individual feeding - identification - individual characteristics
Om het resultaat van vleesvarkens te verhogen, is een ontwikkeltraject in gang gezet voor het voersysteem 'Voeren op maat'. Hiermee kunnen vleesvarkens individueel gevoerd worden op basis van individuele dierherkenning. In dit ontwikkeltraject is het systeem beoordeeld op de vooraf gestelde eisen.
Economisch slim voeren
Andre, G. ; Bleumer, E.J.B. ; Braakman, G. - \ 2008
V-focus 5 (2008)6. - ISSN 1574-1575 - p. 26 - 27.
melkveehouderij - rundveevoeding - voederwaardering - individuele voeding - dairy farming - cattle feeding - feed evaluation - individual feeding
Bij Precisie Veehouderij wordt het individuele dier centraal gezet. Voor de voeding betekent dit dat niet meer uitgegaan wordt van algemene normen, maar van de prestaties van het individuele dier in de actuele omstandigheden. Het model voor individueel voeren is ontwikkeld door ASG. Agrovision, Agrifirm en Forfarmers zetten het afgelopen zomer in de markt onder de naam Dynamisch Voeren.
Eten volgens je genenpakket: gezond dik zijn, het kan, al zullen niet alle gezondheidsvoorlichters daar blij mee zijn
Müller, M.R. - \ 2008
Voeding Nu 10 (2008)4. - ISSN 1389-7608 - p. 18 - 19.
genotype-voeding interactie - voedingsmiddelen - genetica - individuele voeding - ziektepreventie - metabolisme - genen - voedselconsumptie - genexpressieanalyse - nutrigenomica - genotype nutrition interaction - foods - genetics - individual feeding - disease prevention - metabolism - genes - food consumption - genomics - nutrigenomics
Hoe lang duurt het nog voordat we aan de hand van een individueel genenpakket boodschappen kunnen gaan doen; dat we in de winkel als 'geautomatiseerd' de keuze voor de beste voeding voor onszelf kunnen maken, ter voorkoming van ziekten? Volgens hoogleraar voedingsmetabolisme en genomics Michael Müller van Wageningen Universiteit, lopen bedrijven die nu al dieetadvies geven aan de hand van genentests te ver voor de muziek uit
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