The article "Monitoring Training Load to Understand Fatigue in Athletes" by Shona L. Halson discusses the importance of monitoring training load to assess athlete adaptation and minimize the risk of non-functional overreaching, illness, and injury. It highlights the complexity of fatigue, which can be influenced by various factors such as exercise type, duration, intensity, and environmental conditions. The article reviews several methods for monitoring external and internal load, including power output, time-motion analysis, heart rate, blood lactate, and perception of effort. It emphasizes the importance of individualized monitoring, especially in team sports, where diverse training activities and cognitive load are common. The article also discusses the benefits of monitoring, such as enhancing communication and relationship building, and the challenges, including resource constraints and the lack of standardized protocols. It concludes by emphasizing the need for a systems-based approach that integrates diagnostic tests, sensor technology, and data management to effectively monitor and manage training load in high-performance athletes.The article "Monitoring Training Load to Understand Fatigue in Athletes" by Shona L. Halson discusses the importance of monitoring training load to assess athlete adaptation and minimize the risk of non-functional overreaching, illness, and injury. It highlights the complexity of fatigue, which can be influenced by various factors such as exercise type, duration, intensity, and environmental conditions. The article reviews several methods for monitoring external and internal load, including power output, time-motion analysis, heart rate, blood lactate, and perception of effort. It emphasizes the importance of individualized monitoring, especially in team sports, where diverse training activities and cognitive load are common. The article also discusses the benefits of monitoring, such as enhancing communication and relationship building, and the challenges, including resource constraints and the lack of standardized protocols. It concludes by emphasizing the need for a systems-based approach that integrates diagnostic tests, sensor technology, and data management to effectively monitor and manage training load in high-performance athletes.