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1.
J Sports Sci ; 38(3): 320-329, 2020 Feb.
Article in English | MEDLINE | ID: mdl-31782684

ABSTRACT

Elite athletes not only run faster, hit harder, and jump higher, but also see and react better. However, the specific visual-motor skills that differentiate high-achieving athletes are still not well understood. In this paper we examine 2317 athletes (1871 male) tested on the Nike SPARQ Sensory Station, a digital test battery measuring visual, perceptual and motor skills relevant for sports performance. We develop a multivariate Gaussian transformation model to robustly estimate visual-motor differences by level, gender, and sport type. Results demonstrate that visual-motor performance is superior for athletes at higher levels, with males faster at near-far eye movements and females faster at eye-hand reaction times. Interestingly, athletes who play interceptive sports such as baseball and tennis exhibit better measures of visual clarity, contrast sensitivity and simple reaction time, while athletes from strategic sports like soccer and basketball have higher measures of spatial working memory. These findings provide quantitative evidence of domain-specific visual expertise in athletes.


Subject(s)
Athletic Performance/physiology , Athletic Performance/psychology , Motor Skills/physiology , Visual Perception/physiology , Bayes Theorem , Female , Humans , Male , Memory, Short-Term , Reaction Time , Regression Analysis , Sex Factors , Task Performance and Analysis
2.
Sci Rep ; 8(1): 116, 2018 01 08.
Article in English | MEDLINE | ID: mdl-29311675

ABSTRACT

Baseball players must be able to see and react in an instant, yet it is hotly debated whether superior performance is associated with superior sensorimotor abilities. In this study, we compare sensorimotor abilities, measured through 8 psychomotor tasks comprising the Nike Sensory Station assessment battery, and game statistics in a sample of 252 professional baseball players to evaluate the links between sensorimotor skills and on-field performance. For this purpose, we develop a series of Bayesian hierarchical latent variable models enabling us to compare statistics across professional baseball leagues. Within this framework, we find that sensorimotor abilities are significant predictors of on-base percentage, walk rate and strikeout rate, accounting for age, position, and league. We find no such relationship for either slugging percentage or fielder-independent pitching. The pattern of results suggests performance contributions from both visual-sensory and visual-motor abilities and indicates that sensorimotor screenings may be useful for player scouting.


Subject(s)
Athletic Performance , Baseball , Psychomotor Performance , Adolescent , Adult , Algorithms , Humans , Models, Theoretical , Young Adult
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