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Personalized Sports Nutrition Intervention Using Genetic Testing and Wearable Devices

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ICT for Health, Accessibility and Wellbeing (IHAW 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1799))

Abstract

Individuals’ characteristics are different, therefore we need personalized sports nutrition programs. Modern sports nutrition programs should analyze multi-dimensional data such as genetic information, clinical manifestations (e.g., gender, age, health status, family history, diet preference, food tolerance and allergens), biometric data, and sports ability to improve health and sports performance. Revealing the genetic and biological mechanism of human sports ability at the molecular level has made some remarkable achievements in the fields of sports nutrition supplementation, sports injury prevention, sports performance improvement, etc. Wearable devices such as smart watches are broadly used to monitor the biometric data of users. In this paper, we first introduce the development of wearable devices, and describe the genetic factors affecting sports and nutrition, then we summarize the physiological indicators could be collected by wearable devices and discuss the indicators suitable for application in the field of personalized nutrition. Further, we demonstrate our sports genetic testing service. Combing genetic testing data, wearable device data, and lifestyle data, finally, we give our personalized sports and nutrition solution, which can improve individual’s sports effect and health effectively.

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Acknowledgment

This research project is supported by Science Foundation of Beijing Language and Culture University (supported by “the Fundamental Research Funds for the Central Universities”) (Approval number: 22YJ080008)

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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. University of Cyprus, Nicosia, Cyprus

    George Angelos Papadopoulos

  2. Frederick University, Nicosia, Cyprus

    Achilleas Achilleos

  3. Université de Rouen-Normandie, Mont Saint Aignan, France

    Edwige Pissaloux

  4. Universidad Panamericana, Aguascalientes, Mexico

    Ramiro Velázquez

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Yang, J. (2023). Personalized Sports Nutrition Intervention Using Genetic Testing and Wearable Devices. In: Papadopoulos, G.A., Achilleos, A., Pissaloux, E., Velázquez, R. (eds) ICT for Health, Accessibility and Wellbeing. IHAW 2022. Communications in Computer and Information Science, vol 1799. Springer, Cham. https://doi.org/10.1007/978-3-031-29548-5_12

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  • DOI: https://doi.org/10.1007/978-3-031-29548-5_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-29547-8

  • Online ISBN: 978-3-031-29548-5

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