Adam Tawfiq Amawi, Gerasimos V Grivas, Walaa Jumah Alkasasbeh
{"title":"Digital twin for Taekwondo athletes: integrating sports nutrition and psychological readiness using artificial intelligence.","authors":"Adam Tawfiq Amawi, Gerasimos V Grivas, Walaa Jumah Alkasasbeh","doi":"10.3389/fpubh.2026.1822194","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Taekwondo is a high-intensity Olympic combat sport that requires the integration of physical performance, tactical decision-making, and psychological resilience. Athletes face unique challenges such as rapid weight management, fatigue accumulation, injury risk, and competitive anxiety. While sports nutrition and psychological readiness are critical determinants of performance, they are often addressed separately, creating a gap in holistic, individualized athlete monitoring systems.</p><p><strong>Methods: </strong>This narrative review synthesizes interdisciplinary evidence from sport science, nutrition, psychology, and artificial intelligence. A structured literature search was conducted across PubMed, Scopus, Web of Science, and Google Scholar, focusing on studies related to Taekwondo performance, weight-category nutrition strategies, psychological readiness, and AI-driven technologies including wearable systems, machine learning, and digital twin frameworks.</p><p><strong>Results: </strong>The findings indicate that AI-driven digital twin technology enables the integration of multidimensional athlete data, including nutritional intake, psychological state, training load, and physiological biomarkers (e.g., HRV and cortisol). These systems can generate actionable outputs such as readiness scoring, personalized nutrition strategies, early detection of fatigue and stress dysregulation, and prediction of injury or overtraining risk.</p><p><strong>Conclusion: </strong>Digital twin technology represents a promising framework for transforming Taekwondo athlete management from fragmented monitoring to a holistic, data-driven approach. Practically, this may support coaches in making real-time decisions regarding training load, weight management, recovery, and psychological interventions. However, further empirical validation, ethical considerations, and applied research are required to support real-world implementation in elite combat sport environments.</p>","PeriodicalId":12548,"journal":{"name":"Frontiers in Public Health","volume":"14 ","pages":"1822194"},"PeriodicalIF":3.4000,"publicationDate":"2026-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13144148/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Public Health","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3389/fpubh.2026.1822194","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Taekwondo is a high-intensity Olympic combat sport that requires the integration of physical performance, tactical decision-making, and psychological resilience. Athletes face unique challenges such as rapid weight management, fatigue accumulation, injury risk, and competitive anxiety. While sports nutrition and psychological readiness are critical determinants of performance, they are often addressed separately, creating a gap in holistic, individualized athlete monitoring systems.
Methods: This narrative review synthesizes interdisciplinary evidence from sport science, nutrition, psychology, and artificial intelligence. A structured literature search was conducted across PubMed, Scopus, Web of Science, and Google Scholar, focusing on studies related to Taekwondo performance, weight-category nutrition strategies, psychological readiness, and AI-driven technologies including wearable systems, machine learning, and digital twin frameworks.
Results: The findings indicate that AI-driven digital twin technology enables the integration of multidimensional athlete data, including nutritional intake, psychological state, training load, and physiological biomarkers (e.g., HRV and cortisol). These systems can generate actionable outputs such as readiness scoring, personalized nutrition strategies, early detection of fatigue and stress dysregulation, and prediction of injury or overtraining risk.
Conclusion: Digital twin technology represents a promising framework for transforming Taekwondo athlete management from fragmented monitoring to a holistic, data-driven approach. Practically, this may support coaches in making real-time decisions regarding training load, weight management, recovery, and psychological interventions. However, further empirical validation, ethical considerations, and applied research are required to support real-world implementation in elite combat sport environments.
背景：跆拳道是一项高强度的奥林匹克格斗运动，需要身体表现、战术决策和心理弹性的综合。运动员面临着独特的挑战，如快速体重管理、疲劳积累、受伤风险和竞争焦虑。虽然运动营养和心理准备是表现的关键决定因素，但它们往往是分开处理的，这在全面、个性化的运动员监测系统中造成了空白。方法：这篇叙述性综述综合了来自运动科学、营养学、心理学和人工智能的跨学科证据。在PubMed、Scopus、Web of Science和b谷歌Scholar上进行了结构化的文献检索，重点关注与跆拳道成绩、体重类别营养策略、心理准备和人工智能驱动技术（包括可穿戴系统、机器学习和数字双胞胎框架）相关的研究。结果：研究结果表明，人工智能驱动的数字孪生技术能够整合多维运动员数据，包括营养摄入、心理状态、训练负荷和生理生物标志物（如HRV和皮质醇）。这些系统可以产生可操作的输出，如准备度评分、个性化营养策略、疲劳和压力失调的早期检测，以及受伤或过度训练风险的预测。结论：数字孪生技术代表了一个很有前途的框架，可以将跆拳道运动员管理从碎片化的监控转变为整体的、数据驱动的方法。实际上，这可以帮助教练在训练负荷、体重管理、恢复和心理干预方面做出实时决策。然而，需要进一步的实证验证、伦理考虑和应用研究来支持在精英战斗运动环境中的现实世界实施。
期刊介绍：
Frontiers in Public Health is a multidisciplinary open-access journal which publishes rigorously peer-reviewed research and is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians, policy makers and the public worldwide. The journal aims at overcoming current fragmentation in research and publication, promoting consistency in pursuing relevant scientific themes, and supporting finding dissemination and translation into practice.
Frontiers in Public Health is organized into Specialty Sections that cover different areas of research in the field. Please refer to the author guidelines for details on article types and the submission process.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
