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Design Tailored Nutrition and Weight Control Recommendations Using Nutrigenetics and FFQ

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Health Information Science (HIS 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12435))

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Abstract

The increasing global non-communicable diseases such as obesity and diabetes caused by diet, have roused the urgent needs for simple, modern and tailored solution to achieve effective and healthier lifestyle. Due to the differences in geographical and climatic conditions, different diets appear around the world, and it has long been clear that people don’t all respond the same way to the same dietary intervention. One of the ultimate goals of the tailored nutrition is the design of personalized nutritional recommendations to treat or prevent metabolic disorders. Nutrigenetics studies the different phenotypic response to diet depending on the genotype of each individual, and numerous genes and polymorphisms have been already identified as relevant factors in the heterogeneous response to nutrient intake. In this paper, we introduce the knowledge and application of nutrigenetics, and food frequency questionnaire which is used to estimate the frequency of consumption of certain foods, then combining genetic testing data and nutritional intakes, we give the design of tailored nutrition and weight control recommendations. Based on the tailored nutrition recommendations, our system can suggest suitable foods and sports or help customer to place an order to nutrition production factory to produce personalized nutrition supplement products.

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Acknowledgment

This work was partially supported by the Science Foundation of Beijing Language and Culture University (supported by “the Fundamental Research Funds for the Central Universities”) (20YJ040007, 19YJ040010, 17YJ0302)

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Authors and Affiliations

  1. School of Information Science, Beijing Language and Culture University, Beijing, 100083, China

    Jitao Yang

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  1. Jitao Yang
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Correspondence to Jitao Yang .

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Editors and Affiliations

  1. Vrije University of Amsterdam, Amsterdam, The Netherlands

    Zhisheng Huang

  2. Victoria University, Footscray, VIC, Australia

    Siuly Siuly

  3. Victoria University, Footscray, VIC, Australia

    Hua Wang

  4. Swinburne University of Technology, Hawthorn, VIC, Australia

    Rui Zhou

  5. Victoria University, Footscray, VIC, Australia

    Yanchun Zhang

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Yang, J. (2020). Design Tailored Nutrition and Weight Control Recommendations Using Nutrigenetics and FFQ. In: Huang, Z., Siuly, S., Wang, H., Zhou, R., Zhang, Y. (eds) Health Information Science. HIS 2020. Lecture Notes in Computer Science(), vol 12435. Springer, Cham. https://doi.org/10.1007/978-3-030-61951-0_16

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  • DOI: https://doi.org/10.1007/978-3-030-61951-0_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-61950-3

  • Online ISBN: 978-3-030-61951-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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