Sports nutrition as an example of effective implementation of innovative trends in nutrition: personalization and digitalization (literature review)

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Resumo

The nutritional status in an athlete depends on the individual genetic characteristics of the body, the level of physical and psycho-emotional stress, and a balanced diet with the inclusion of specialized food products and dietary supplements. The development of big data analytics and artificial intelligence can contribute to the development of nutritional recommendations at the individual or stratified level.

The purpose of the review is to analyze and summarize research papers devoted to the possibilities of using digital technologies, deep machine learning techniques, and artificial intelligence in the field of sports nutrition to ensure a personalized approach to improving professional success. There were studied papers published in 2004–2024 in domestic and foreign electronic databases: Web of Science, Scopus, eLIBRARY.RU, Russian State Library, library collection of the Federal State Budgetary Scientific Institution “Federal Research Center of Nutrition and Biotechnology”.

The potential for AI-based technologies in sports nutrition is extremely diverse: dietary assessment, recognition and tracking of food diversity, predictive modelling of athletic performance and non-communicable diseases, and selection of personalized diets. To ensure sustainable growth in the coverage of digital products and technologies, further directions for their application in sports medicine should be aimed at improving the quality and standardization of data and reducing algorithmic bias.

Contribution of the authors:
Nikitjuk D.B. — research concept and design, editing, approval of the final version of the article;
Korosteleva M.M. — writing the text, compiling a list of references;
Tarmaeva I.Yu. — design, writing the text.
The co-authors approved the final version of the article and take responsibility for the integrity of all its parts.

Acknowledgment. The study had no sponsorship.

Conflict of interests. The authors declare no conflict of interest.

Received: October 14, 2024 / Accepted: December 11, 2024 / Published: February 28, 2025

Sobre autores

Dmitriy Nikitjuk

Federal Research Center of Nutrition, Biotechnology and Food Safety

Email: nikitjuk@ion.ru
ORCID ID: 0000-0002-4968-4517

Academician of the Russian Academy of Sciences, Director of the Federal Research Center of Nutrition and Biotechnology, Moscow, 109240, Russian Federation

e-mail: nikitjuk@ion.ru

Margarita Korosteleva

Federal Research Center of Nutrition, Biotechnology and Food Safety

Email: korostel@bk.ru
ORCID ID: 0000-0002-2279-648X

PhD (Medicine), senior researcher, Laboratories of Sports Anthropology and Nutrition, Federal Research Center of Nutrition and Biotechnology, Moscow, 109240, Russian Federation

e-mail: korostel@bk.ru

Inna Tarmaeva

Federal Research Center of Nutrition, Biotechnology and Food Safety

Autor responsável pela correspondência
Email: tarmaeva@ion.ru
ORCID ID: 0000-0001-7791-1222

DSc (Medicine), Professor, Academic Secretary, Federal Research Center of Nutrition and Biotechnology, Moscow, 109240, Russian Federation

e-mail: tarmaeva@ion.ru

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