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体育与健康科学:应对现代挑战的跨学科方法。

Sport and health science: interdisciplinary approaches to modern challenges.

作者信息

Padulo Johnny

机构信息

Department of Biomedical Sciences for Health, Università degli Studi di Milano, 20133 Milan, Italy.

出版信息

Br Med Bull. 2025 Jun 21;155(1). doi: 10.1093/bmb/ldaf007.

DOI:10.1093/bmb/ldaf007
PMID:40545246
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12205942/
Abstract

BACKGROUND

Sport and health science are undergoing a transformative shift driven by interdisciplinary approaches, technological innovations, and data-driven strategies.

SOURCES OF DATA

This invited editorial explores key advancements in precision athletic monitoring, holistic well-being, population health initiatives, and innovative training and rehabilitation techniques. The integration of wearable technology, real-time analytics, and psychological interventions enables more personalized and effective strategies to optimize performance and promoting overall health. Additionally, the role of physical activity in mitigating lifestyle-related diseases underscores the importance of tailored public health initiatives.

AREAS OF AGREEMENT

Current consensus in sport and health science highlights that interdisciplinary collaboration-blending physiology, psychology, nutrition, and data analytics-significantly improves both athletic performance and public health outcomes. This progress is driven by precision monitoring technologies, holistic well-being strategies, innovative training methods, and a shared commitment to ethical standards ensuring equitable, responsible application of new health, and performance innovations.

AREAS OF CONTROVERSY

As the field progresses, ethical considerations regarding data privacy, accessibility, and equitable application of emerging technologies remain central.

GROWING POINTS

Future directions include leveraging artificial intelligence, machine learning, and big data to refine personalized interventions, ensuring that both athletic and public health advancements are sustainable and inclusive.

AREAS TIMELY FOR DEVELOPING RESEARCH

Emerging research in sport and health science focuses on harnessing artificial intelligence, machine learning, and big data to develop predictive models and personalized interventions, while tailoring physical activity programmes to diverse population needs based on age, gender, socioeconomic, and cultural factors. Simultaneously, priorities include advancing psychological and mindfulness-based strategies in athletic care, integrating cutting-edge rehabilitation technologies, promoting inclusive public health frameworks for ageing and chronically ill populations, and establishing ethical guidelines for the responsible use of innovative performance and health technologies.

摘要

背景

体育与健康科学正在经历一场变革性转变,这一转变由跨学科方法、技术创新和数据驱动策略所推动。

数据来源

这篇特邀社论探讨了精准运动监测、整体健康、人群健康倡议以及创新训练与康复技术等方面的关键进展。可穿戴技术、实时分析和心理干预的整合,使得制定更个性化、有效的策略来优化表现和促进整体健康成为可能。此外,体育活动在缓解与生活方式相关疾病方面的作用凸显了量身定制公共卫生倡议的重要性。

共识领域

体育与健康科学当前的共识强调,跨学科合作——融合生理学、心理学、营养和数据分析——能显著提升运动表现和公共卫生成果。这一进展得益于精准监测技术、整体健康策略、创新训练方法,以及对道德标准的共同承诺,以确保公平、负责地应用新的健康与表现创新成果。

争议领域

随着该领域的发展,关于数据隐私、获取以及新兴技术公平应用的伦理考量仍然是核心问题。

发展要点

未来的方向包括利用人工智能、机器学习和大数据来完善个性化干预措施,确保体育和公共卫生的进步具有可持续性和包容性。

适合开展研究的领域

体育与健康科学领域的新兴研究聚焦于利用人工智能、机器学习和大数据来开发预测模型和个性化干预措施,同时根据年龄、性别、社会经济和文化因素,为不同人群的需求量身定制体育活动计划。与此同时,优先事项包括推进体育保健中基于心理和正念的策略、整合前沿康复技术、为老龄化和慢性病患者群体推广包容性公共卫生框架,以及为负责任地使用创新表现和健康技术制定伦理准则。