11,818 research outputs found

    A practitioner's guide to nudging

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    Perspective: a conceptual framework for adaptive personalized nutrition advice systems (APNASs)

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    Nearly all approaches to personalized nutrition (PN) use information such as the gene variants of individuals to deliver advice that is more beneficial than a generic one-size-fits-all recommendation. Despite great enthusiasm and the increased availability of commercial services, thus far, scientific studies have only revealed small to negligible effects on the efficacy and effectiveness of personalized dietary recommendations, even when using genetic or other individual information. In addition, from a public health perspective, scholars are critical of PN because it primarily targets socially privileged groups rather than the general population, thereby potentially widening health inequality. Therefore, in this perspective, we propose to extend current PN approaches by creating adaptive personalized nutrition advice systems (APNASs) that are tailored to the type and timing of personalized advice for individual needs, capacities, and receptivity in real-life food environments. These systems encompass a broadening of current PN goals (i.e., what should be achieved) to incorporate individual goal preferences beyond currently advocated biomedical targets (e.g., making sustainable food choices). Moreover, they cover the personalization processes of behavior change by providing in situ, just-in-time information in real-life environments (how and when to change), which accounts for individual capacities and constraints (e.g., economic resources). Finally, they are concerned with a participatory dialogue between individuals and experts (e.g., actual or virtual dieticians, nutritionists, and advisors), when setting goals and deriving measures of adaption. Within this framework, emerging digital nutrition ecosystems enable continuous, real-time monitoring, advice, and support in food environments from exposure to consumption. We present this vision of a novel PN framework along with scenarios and arguments that describe its potential to efficiently address individual and population needs and target groups that would benefit most from its implementation

    Prescriptions for Excellence in Health Care Summer 2012 Download Full PDF

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    Dynamic physical activity recommendation on personalised mobile health information service: A deep reinforcement learning approach

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    Mobile health (mHealth) information service makes healthcare management easier for users, who want to increase physical activity and improve health. However, the differences in activity preference among the individual, adherence problems, and uncertainty of future health outcomes may reduce the effect of the mHealth information service. The current health service system usually provides recommendations based on fixed exercise plans that do not satisfy the user specific needs. This paper seeks an efficient way to make physical activity recommendation decisions on physical activity promotion in personalised mHealth information service by establishing data-driven model. In this study, we propose a real-time interaction model to select the optimal exercise plan for the individual considering the time-varying characteristics in maximising the long-term health utility of the user. We construct a framework for mHealth information service system comprising a personalised AI module, which is based on the scientific knowledge about physical activity to evaluate the individual exercise performance, which may increase the awareness of the mHealth artificial intelligence system. The proposed deep reinforcement learning (DRL) methodology combining two classes of approaches to improve the learning capability for the mHealth information service system. A deep learning method is introduced to construct the hybrid neural network combing long-short term memory (LSTM) network and deep neural network (DNN) techniques to infer the individual exercise behavior from the time series data. A reinforcement learning method is applied based on the asynchronous advantage actor-critic algorithm to find the optimal policy through exploration and exploitation

    Innovative Agro-food Technologies Implementation through Instructional Communication Mechanisms

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    The current research represents the valorization of the dissemination the design framework of an interdisciplinary area of research, validated through SPAS European FP6 project and a national BIOSIG- PN2 and has as objective to channel communication on target market, through personalized solution of instructional communication mechanisms. The main objective of the national research grant being the implementation of innovative biotechnology on agro-food market, in order to improve the fish diet’s benefits, the prospects must be provided with valuable explicit information. This paper is about the commitment to embedding the actual consumer experience from PN2 fish market research and agro-food agents’ capitalization knowledge behavior from SPAS virtual platform, through designing the adequate communication framework, in order to support and accelerate the implementation of the innovation biotechnology, through improving the target market experience. The projected solution is mainly concerning to offer adequate solutions to insure against current consumers fragilities, but we also underline the vulnerabilities of the whole agro food value chain, in terms of communication strategy, which is lacking of adequate common interest coordination. The current research solution is regarding the rising awareness about the translation from consumer preferences to perceived detriment by integrating previous validated solution of agro food market analysis

    Genomics knowledge and attitudes among European public health professionals. Results of a cross-sectional survey

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    Background The international public health (PH) community is debating the opportunity to incorporate genomic technologies into PH practice. A survey was conducted to assess attitudes of the European Public Health Association (EUPHA) members towards their role in the implementation of public health genomics (PHG), and their knowledge and attitudes towards genetic testing and the delivery of genetic services. Methods EUPHA members were invited via monthly newsletter and e-mail to take part in an online survey from February 2017 to January 2018. A descriptive analysis of knowledge and attitudes was conducted, along with a univariate and multivariate analysis of their determinants. Results Five hundred and two people completed the questionnaire, 17.9% were involved in PHG activities. Only 28.9% correctly identified all medical conditions for which there is (or not) evidence for implementing genetic testing; over 60% thought that investing in genomics may divert economic resources from social and environmental determinants of health. The majority agreed that PH professionals may play different roles in incorporating genomics into their activities. Better knowledge was associated with positive attitudes towards the use of genetic testing and the delivery of genetic services in PH (OR = 1.48; 95% CI 1.01–2.18). Conclusions Our study revealed quite positive attitudes, but also a need to increase awareness on genomics among European PH professionals. Those directly involved in PHG activities tend to have a more positive attitude and better knowledge; however, gaps are also evident in this group, suggesting the need to harmonize practice and encourage greater exchange of knowledge among professionals

    Organic Agriculture in Saudi Arabia - Sector Study 2012

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    This publication compiles the facts and figures of the organic sector in Saudi Arabia. It is a valuable resource for local stakeholders and interested trading companies. The publication is resulting from a collaboration between GIZ (Deutsche Gesellschaft fĂĽr Internationale Zusammenarbeit) and FiBL together with its partners of the Saudi Ministry of Agriculture and Saudi Organic Farming Association (SOFA)
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