This study examined the relationship between broad jump (BJ), countermovement jump (CMJ) and light load countermovement jump (LL-CMJ) performance and sprint performance and Sprint Profile measures in athletes. Additionally, this study aimed to determine the predictive ability of jump measures on Sprint Profile components. Twenty-five athletes performed BJ, CMJ, LL-CMJ, 30-metre acceleration and 30-metre maximal speed fly-by sprints. Results revealed moderate to very large correlations between BJ, CMJ and LL-CMJ performance with acceleration sprint completion times (r = -0.423 to -0.807; p < 0.05), fly-by sprint completion times (r = -0.452 to -0.838; p < 0.05) and maximal sprint speed (r = 0.424 to 0.794; p < 0.05). Additionally, associations were observed with multiple jumping measures and components of the Sprint Profile (r = 0.431 to 0.777; p < 0.05) during acceleration sprints. Furthermore, the BJ distance was the best predictor of Sprint Profile components during acceleration sprints (R = 0.57-0.76; p < 0.01) and maximal speed fly-by sprints (R = 0.775; p < 0.001). The forces and the manner of force application during the BJ to propel the athlete forwards and upwards are similar to those necessary to exhibit superior sprint performance. This may be due to the rapid generation of forces and orientation of force application during both movements.
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http://dx.doi.org/10.1080/14763141.2021.2000022 | DOI Listing |
Front Physiol
January 2025
Department of Sports, Physical Education and Outdoor Studies, University of South-Eastern Norway, Kongsberg, Norway.
Purpose: To explore the relationships between performance variables and physiological variables in a short-time (2-3 min) cycling time trial (TT) on a cycle ergometer.
Methods: Fifteen young elite cyclists (age: 17.3 ± 0.
Front Physiol
January 2025
Faculty of Sport and Physical Education, University of Niš, Niš, Serbia.
Purpose: The purpose of this study was to determine the relationship between linear and change-of-direction sprinting performance with dribbling performance and Dribble Deficit in professional female handball players.
Methods: Eleven professional female handball players (mean age: 21.12 ± 4.
Nutr Health
January 2025
IRyS Group, Physical Education School, Pontificia Universidad Católica de Valparaíso (PUCV), Valparaíso, Chile.
Body composition is a determinant of physical fitness and sports performance. To describe the anthropometric characteristics, body composition, somatotype, and asymmetries of the 2023 world champion in the C1-1000 canoeing event. Dual-energy X-ray absorptiometry (DXA), bioelectrical impedance analysis (BIA), and anthropometry were used to describe the athlete's body composition.
View Article and Find Full Text PDFESC Heart Fail
January 2025
Heart Center, Shanghai Tenth People's Hospital, School of medicine, Tongji University, Shanghai, China.
Aims: We aim to elucidate the association of baseline eGFR and incident heart failure on patients receiving intensive BP treatment.
Methods And Results: A post hoc analysis was conducted on the SPRINT database. Multivariab le Cox regression and interaction restricted cubic spline (RCS) analysis were performed to investigate the interaction between baseline eGFR and intensive BP control on heart failure prevention.
J Sports Sci
January 2025
Department of Tourism, Sport and Society, Lincoln University, Christchurch, New Zealand.
This study investigates the effectiveness of blood flow restriction (BFR) training in maintaining athletic performance during a taper phase in basketball players. The taper phase aims to reduce external load while maintaining training intensity. Seventeen experienced basketball players were randomised into two groups: a placebo group ( = 8, 22.
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