Repeated-sprint ability is a significant factor in football performance. Notably, hamstring injuries in football players often occur during sprinting activities and fatigue-inducing conditions. Therefore, the aim of this study was to examine the impact of repeated-sprint training (RST) on repeated-sprint ability variables and sprint kinematics. Fourteen semiprofessional men's soccer players performed 8 weeks of RST, consisting of 1 to 2 sets of 5 to 8 × 30 m repeated sprints separated by 20 to 30 seconds of recovery. Sprint performance was computed from running speed data, and a high-frequency camera (240 Hz) was used to study kinematic data. Paired samples t test and repeated-measures analysis of variance were conducted for each performance and kinematic variable, respectively. After the RST period, moderate to large improvements were observed for 0 to 20 m time, 0 to 30 m time, and 20 to 30 m time. All the repeated-sprint ability-related variables were significantly improved (P < .05). In addition, during fatigue conditions, a decrease in trunk flexion and kick-back mechanism and a reduced overstriding pattern was found after RST. The findings of this study suggest that incorporating RST may lead to improved sprint performance and promote a "safer" sprint pattern, particularly during periods of fatigue.
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http://dx.doi.org/10.1123/jab.2024-0026 | DOI Listing |
Front Public Health
December 2024
AstraZeneca SpA, Milano Innovation District (MIND), Milano, Italy.
Background: Software as a Medical Device (SaMD) and mobile health (mHealth) applications have revolutionized the healthcare landscape in the areas of remote patient monitoring (RPM) and digital therapeutics (DTx). These technological advancements offer a range of benefits, from improved patient engagement and real-time monitoring, to evidence-based personalized treatment plans, risk prediction, and enhanced clinical outcomes.
Objective: The systematic literature review aims to provide a comprehensive overview of the status of SaMD and mHealth apps, highlight the promising results, and discuss what is the potential of these technologies for improving health outcomes.
Sci Rep
January 2025
Ministry of Sports, Hubei Institute of Automotive Industry, Shiyan, 442002, Hubei, China.
The objective of the present study was to examine the impact of different plyometric training (PT) surfaces on the adaptive changes of jumping ability, sprinting speed, change of direction ability and strength performance in volleyball players. Forty male players participated in the study and were divided into four equal groups performing PT in aquatic (APT), sand (SPT), and land (LPT) surfaces, or an active control group (CON). All training groups indicated small to large significant (p = 0.
View Article and Find Full Text PDFJ Alzheimers Dis
January 2025
Department of Neurology, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
Background: Black adults have higher dementia risk than White adults. Whether tighter population-level blood pressure (BP) control reduces this disparity is unknown.
Objective: Estimate the impact of optimal BP treatment intensity on racial disparities in dementia.
Sensors (Basel)
December 2024
Department of Computer Engineering, Faculty of Engineering, University of Rijeka, Vukovarska 58, 51000 Rijeka, Croatia.
In the field of muscle fatigue models (MFMs), the prior research has demonstrated success in fitting data in specific contexts, but it falls short in addressing the diverse efforts and rapid changes in exertion typical of soccer matches. This study builds upon the existing model, aiming to enhance its applicability and robustness to dynamic demand shifts. The objective is to encapsulate the complexities of soccer dynamics with a streamlined set of parameters.
View Article and Find Full Text PDFSensors (Basel)
December 2024
School of Sport and Physical Activity, College of Health, Wellbeing and Life Sciences, Sheffield Hallam University, Sheffield S10 2BP, UK.
RaceRunning is a sport for disabled people and successful performance depends on reducing the amount of time spent travelling a specific distance. Performance analysis in RaceRunning athletes is based on traditional methods such as recording race time, distances travelled and frequency (sets and reps) that are not sufficient for monitoring training loads. The aims of this study were to monitor training loads in typical training sessions and evaluate technical adaptations in RaceRunning performance by acquiring sensor metrics.
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