rfhealthЗдравоохранение Российской ФедерацииHealth care of the Russian Federation0044-197X2412-0723Federal Scientific Center of Hygiene named after F.F. Erisman10.47470/0044-197X-2025-69-1-65-69cnkprtrfhealth-1785Research ArticleАКТУАЛЬНЫЕ ВОПРОСЫ ГИГИЕНЫTOPICAL ISSUES OF HYGIENEСпортивное питание как пример эффективной реализации инновационных трендов в нутрициологии — персонализации и цифровизации (обзор литературы)Sports nutrition as an example of effective implementation of innovative trends in nutrition: personalization and digitalization (literature review)https://orcid.org/0000-0002-4968-4517НикитюкДмитрий БорисовичNikitjukDmitriy B.

Академик РАН, директор ФГБУН «ФИЦ питания и биотехнологии», 109240, Москва, Россия

e-mail: nikitjuk@ion.ru

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

nikitjuk@ion.ruhttps://orcid.org/0000-0002-2279-648XКоростелеваМаргарита МихайловнаKorostelevaMargarita M.

Канд. мед. наук, ст. науч. сотр. лаб. спортивной антропологии и нутрициологии, ФГБУН «ФИЦ питания и биотехнологии», 109240, Москва, Россия

e-mail: korostel@bk.ru

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

korostel@bk.ruhttps://orcid.org/0000-0001-7791-1222ТармаеваИнна ЮрьевнаTarmaevaInna Yu.

Доктор мед. наук, профессор, учёный секретарь, ФГБУН «ФИЦ питания и биотехнологии», 109240, Москва, Россия

e-mail: tarmaeva@ion.ru

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

e-mail: tarmaeva@ion.ru

tarmaeva@ion.ruФГБУН «Федеральный исследовательский центр питания, биотехнологии и безопасности пищиРоссияFederal Research Center of Nutrition, Biotechnology and Food SafetyRussian Federation2025260220256916569Copyright © Никитюк Д.Б., Коростелева М.М., Тармаева И.Ю., 20252025Никитюк Д.Б., Коростелева М.М., Тармаева И.Ю.Nikitjuk D.B., Korosteleva M.M., Tarmaeva I.Y.This work is licensed under a Creative Commons Attribution 4.0 License.https://www.rfhealth.ru/jour/article/view/1785

Пищевой статус спортсмена зависит от индивидуальных генетических особенностей организма, уровня физических и психоэмоциональных нагрузок и от сбалансированного рациона питания с включением в него специализированной пищевой продукции и биологически активных добавок. Развитие аналитики больших данных и искусственного интеллекта может способствовать разработке рекомендаций по питанию на индивидуальном или стратифицированном уровне.

Цель обзора — анализ и обобщение научно-исследовательских работ, посвящённых возможностям применения цифровых технологий, методик глубокого машинного обучения, искусственного интеллекта в области спортивной нутрициологии для обеспечения персонализированного подхода к повышению профессиональной успешности. Изучены работы, опубликованные за 2004–2024 гг. в отечественных и зарубежных электронных базах данных: Web of Science, Scopus, eLIBRARY.RU, Российская государственная библиотека, библиотечный фонд ФГБУН «ФИЦ питания и биотехнологии».

Возможности применения технологий на основе искусственного интеллекта в области спортивной нутрициологии крайне многоплановы: оценка рациона питания, распознавание и отслеживание разнообразия пищевых продуктов, прогностическое моделирование спортивной успешности и неинфекционных заболеваний, подбор персонализированного рациона питания. Для обеспечения стабильного роста охвата цифровыми продуктами и технологиями дальнейшие направления их применения в спортивной медицине должны быть нацелены на повышение качества и стандартизации данных и снижение алгоритмической предвзятости.

Участие авторов

Участие авторов: Никитюк Д.Б. — концепция и дизайн исследования, редактирование; Коростелева М.М. — написание текста, составление списка литературы; Тармаева И.Ю. — дизайн исследования, написание текста. Все соавторы — утверждение окончательного варианта статьи, ответственность за целостность всех частей статьи.

Финансирование

Финансирование. Исследование не имело спонсорской поддержки.

Конфликт интересов

Конфликт интересов. Авторы декларируют отсутствие явных и потенциальных конфликтов интересов в связи с публикацией данной статьи.

Поступила

Поступила: 14.10.2024 / Принята к печати: 11.12.2024 / Опубликована: 28.02.2025

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

Acknowledgment. The study had no sponsorship.

Conflict of interests

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

Received

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

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The authors declare that there are no conflicts of interest present.