Background: The role of arm motion during the long jump has been well studied. The aim of this study was to quantify the effect of forearm mass on impulse and the kinematics of the flight phase in an upper limb amputee.
Case Description And Methods: A world-record paralympic long jumper carried out jumps in three conditions: wearing his usual forearm prosthesis and with 0.3 and 0.4 kg added mass. A motion capture system including force plates was used to record the jump.
Findings And Outcome: At take-off, the addition of 0.4 kg to the prosthesis decreased the vertical velocity of the centre of mass but increased horizontal velocity. These modifications were associated with an increase in landing distance and an improvement of the synchronization between arms.
Conclusion: Increasing forearm mass appears to improve long jump performance. Further studies need to evaluate the optimal prosthetic mass for both training and competition.
Clinical Relevance: This biomechanical analysis of the long jump highlighted the effects of changing prosthesis mass on performance. This methodological approach may be useful in the context of sport and performance research.
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http://dx.doi.org/10.1177/0309364613497392 | DOI Listing |
J Int Soc Sports Nutr
December 2025
University of Cadiz, ExPhy Research Group, Department of Physical Education, Puerto Real, Spain.
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January 2025
Department of Biophysics and Physiology, Nucleus of Study in Physiology Applied to Performance and Health (NEFADS), Federal University of Piaui, Teresina, Brazil.
This study investigated the association between the ACE (I/D) polymorphism and strength phenotypes in Brazilian male handball players, considering their playing position. A total of 105 male junior handball players and 92 controls were evaluated. The ACE I/D polymorphism was genotyped by conventional PCR followed by electrophoresis in agarose gel.
View Article and Find Full Text PDFBMC Public Health
January 2025
School of Physical Education, Chizhou University, Chizhou, 247000, China.
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View Article and Find Full Text PDFSci Rep
January 2025
Postgraduate Program in Food and Nutrition at the Federal University of Piauí (PPGAN/UFPI), Teresina, Piauí, Brazil.
Body composition is a determining factor in the physical performance of cyclists, directly influencing efficiency and power during competitions. Understanding these aspects can help optimize training and maximize results. This study aimed to analyze the influence of body composition on physical performance in mountain bike athletes.
View Article and Find Full Text PDFSensors (Basel)
January 2025
School of Electronic and Information Engineering, Ankang University, Ankang 725000, China.
Convolutional neural networks have achieved excellent results in image denoising; however, there are still some problems: (1) The majority of single-branch models cannot fully exploit the image features and often suffer from the loss of information. (2) Most of the deep CNNs have inadequate edge feature extraction and saturated performance problems. To solve these problems, this paper proposes a two-branch convolutional image denoising network based on nonparametric attention and multiscale feature fusion, aiming to improve the denoising performance while better recovering the image edge and texture information.
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