Wheelchair basketball coaches and researchers have typically relied on box score data and the Comprehensive Basketball Grading System to inform practice, however, these data do not acknowledge how the dynamic perspectives of teams change, vary and adapt during possessions in relation to the outcome of a game. Therefore, this study aimed to identify the key dynamic variables associated with team success in elite men's wheelchair basketball and explore the impact of each key dynamic variable upon the outcome of performance through the use of binary logistic regression modeling. The valid and reliable template developed Francis et al. (2019) was used to analyze video footage in SportsCode from 31 games at the men's 2015 European Wheelchair Basketball Championships. The 31 games resulted in 6,126 rows of data which were exported and converted into a CSV file, analyzed using R (R Core Team, 2015) and subjected to a data modeling process. Chi-square analyses identified significant ( < 0.05) relationships between Game Outcome and 19 Categorical Predictor Variables. Automated stepwise binary regression model building was completed using 70% of the data (4,282 possessions) and produced a model that included 12 Categorical Predictor Variables. The accuracy of the developed model was deemed to be acceptable at accurately predicting the remaining 30% of the data (1,844 possessions) and produced an area under the receiver operating characteristic curve value of 0.759. The model identified the odds of winning are more than double when the team in possession are in a state of winning at the start of the possession are increased five-fold when the offensive team do not use a 1.0 or 1.5 classified player, but are increased six-fold when the offensive team use three or more 3.0 or 3.5 players. The final model can be used by coaches, players and support staff to devise training and game strategies that involve selecting the most appropriate offensive and defensive approaches when performing ball possessions to enhance the likelihood of winning in elite men's wheelchair basketball.
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http://dx.doi.org/10.3389/fpsyg.2019.01431 | DOI Listing |
Eur J Appl Physiol
December 2024
Department of Biomedical Sciences, University of Padua, Via Marzolo, 3, 35131, Padua, Italy.
Purpose: Body composition can be estimated using anthropometric-based regression models, which are population-specific and should not be used interchangeably. However, the widespread availability of predictive equations in the literature makes selecting the most valid equations challenging. This systematic review compiles anthropometric-based predictive equations for estimating body mass components, focusing on those developed specifically for athletes using multicomponent models (i.
View Article and Find Full Text PDFJ Bodyw Mov Ther
October 2024
Department of Physiotherapy and Rehabilitation, Faculty of Health Sciences, Karabuk University, 78050, Karabuk, Turkey.
Introduction: Vibration therapy (VT) has been widely used to increase performance and rehabilitate injuries in athletes. Delayed onset muscle soreness (DOMS), caused by excessive overload after training and competitions, leads to loss of performance.
Objective: The aim of this study was to investigate the effects of wearable local VT on muscle soreness and athletic performance in wheelchair basketball (WCB) players.
Spina bifida can result in lower-extremity motor and sensory deficits, often leading to hip joint dislocation, a significant disability. The optimal surgical approach for hip dislocation in spina bifida patients remains a subject of debate. A 12-year-old girl with thoracic-level spina bifida experienced recurrent hip dislocations, significantly impacting her daily life and sports activities.
View Article and Find Full Text PDFThe purpose of this study was to understand the meaning physically impaired wheelchair sport athletes attributed to wheelchair basketball participation as well as potential physical, psychological, and social health-related quality of life (HRQOL) benefits. Specifically, the experiences of wheelchair sport athletes from low- and middle-income countries (LMIC) affected by ongoing or recent conflict were examined. Focus group participants for this study included 108 wheelchair basketball athletes (77 men and 31 women) from seven men's and three women's national teams at an international wheelchair basketball tournament held in India.
View Article and Find Full Text PDFSensors (Basel)
September 2024
Chair of Biomechanics, Faculty of Engineering Science, University of Bayreuth, D-95440 Bayreuth, Germany.
This review reports on the use of sensors in wheelchair sports to monitor and analyze performance during match and training time. With rapid advancements in electronics and related technologies, understanding performance metrics in wheelchair sports is essential. We reviewed nine studies using various sensor types, including electric motors, inertial measurement units, miniaturized data loggers with magnetic reed switches, and smartphones with inbuilt accelerometers and gyroscopes, operating at frequencies from 8 Hz to 1200 Hz.
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