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Article Dans Une Revue European Journal of Public Health Année : 2019

MS-Diet, a tailored nutrition counselling web-application based on mathematical diet optimization

Résumé

Background: By definition, messages in tailored approaches are built to reach a given person, based on her/his specific characteristics and needs. Tailored dietary behavior change interventions have a small but significant effect on dietary behavior change. The majority of these interventions target a few food groups or nutrients, without evaluating the overall diet. Diet optimization is a powerful mathematical method to translate nutrient recommendations into individual-specific food choices. This method is increasingly used in nutrition research, in the fields of public health and diet sustainability. Objective: The aim was to combine tailored approaches and diet optimization in a web application of tailored nutrition counselling. Method and results: The web application, called MS-Diet, was developed based on behavior changes techniques, such as: self-monitoring, self-regulatory, tailored feedback and engaging communication techniques. In a first feature, based on user’s data collected online (including answers to a food frequency questionnaire), the user can obtain a picture of the nutritional quality of her/his diet, the diet cost and the level of physical activity. In a second feature, MS-Diet suggests to the user a list of tailored dietary advices to get a healthier diet (i.e., a nutritionally adequate diet), adapted to her/his specific needs and food preferences. With the application, the user is actor in her/his own dietary changes: she/he specifies her/his food preferences and; chooses dietary suggestions that she/he considers achievable. Conclusions: This prototype could be a future online health promotion tool which could help individuals to improve their diet or serve as a decision-support tool for health professionals. The evaluation of the tool (e.g. whether the use of the tool results in changes of dietary habits) is warranted before use on health promotion.

Dates et versions

hal-02962295 , version 1 (09-10-2020)

Identifiants

Citer

Rozenn Gazan, Nicole Darmon, Florent Vieux, Mathieu M. Maillot. MS-Diet, a tailored nutrition counselling web-application based on mathematical diet optimization. European Journal of Public Health, 2019, 29 (Supplement_4. Meeting abstract), ⟨10.1093/eurpub/ckz185.096⟩. ⟨hal-02962295⟩
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