ESE - Editoriais, Cartas, Notas, Prefácios, Indexados à WoS/Scopus
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Percorrer ESE - Editoriais, Cartas, Notas, Prefácios, Indexados à WoS/Scopus por Domínios Científicos e Tecnológicos (FOS) "Ciências Médicas::Ciências da Saúde"
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- Editorial: Building health through physical activity in schools, volume IIPublication . Branquinho, Luís; Forte, Pedro; Ferraz, Ricardo; Teixeira, José Eduardo; Sortwell, AndrewBuilding health through physical activity in schools remains a global priority, as educational systems face persistent challenges related to declining physical activity levels, increasing sedentary behavior, and growing concerns about physical, psychological, and social health among children and adolescents. Schools represent a uniquely powerful setting to influence lifelong health behaviors, yet effective promotion of physical activity requires evidence that integrates individual, pedagogical, environmental, and structural dimensions. The 19 articles included in “Building Health Through Physical Activity in Schools – Volume II” collectively provide a comprehensive and multidimensional perspective on how physical activity, health, and well-being can be fostered through educational contexts across diverse populations and sociocultural settings.
- Editorial: Harnessing artificial intelligence in sports science: enhancing performance, health, and educationPublication . Teixeira, José Eduardo; Forte, Pedro; Ferraz, Ricardo; Morgans, Ryland; Branquinho, LuísArtificial intelligence (AI) has emerged as a transformative force within sports science, enabling unprecedented advances in the understanding, monitoring, and optimization of human performance, health, and learning processes. The increasing availability of high-resolution data derived from wearable technologies, tracking systems, video analysis, and digital learning platforms has necessitated the adoption of advanced analytical frameworks capable of managing complexity, non-linearity, and interindividual variability. Within this context, the present research topic brings together eleven contributions that collectively demonstrate how AI-driven methodologies can enhance performance analysis, support health-oriented decision-making, and foster innovation in sports performance, health, and education.
- Editorial: Training load in sport: current challenges and future perspectivesPublication . Branquinho, Luís; Forte, Pedro; França, Elias; Ferraz, Ricardo; Teixeira, José Eduardo; Thomatieli-Santos, Ronaldo VagnerTraining load is a critical component of athletic development, serving as a fundamental determinant of performance enhancement and injury prevention (1). Factors such as training intensity, volume, frequency, and density must be carefully managed to promote positive adaptations in athletes (2). The concept of training load is not merely a measure of the amount of work performed, it is a complex interplay of factors that can significantly influence an athlete’s performance trajectory (3). Understanding how to optimize training load is essential to maximizing athletic performance while minimizing the risks of excessive fatigue, injury, and overtraining, which can negatively impact an athlete’s performance and ability to compete and train effectively, as well as overall health (1).
- Editorial: Training load in sport: current challenges and future perspectives, volume IIPublication . Branquinho, Luís; França, Elias de; Forte, Pedro; Teixeira, José E.; Ferraz, Ricardo; Thomatieli-Santos, Ronaldo VagnerMonitoring and manipulating training load remain a central concern in sports science. The 14 articles in Volume II of the Training Load in Sport: Current Challenges and Future Perspectives Research Topic cover a broad spectrum of sports and methodological approaches. They collectively underscore that training load is not a one-size-fits-all constructs; instead, it must be tailored to the athlete’s sport, competitive level and physiological/psychological profile. This editorial synthesizes the key findings, re&ects on emerging themes and outlines directions for future research.