Investigating the Role of Ipsilateral and Contralateral Eye-Hand Dominance in ATP Qualification and Tennis Serve Performance of Professional Tennis Players

doi:10.20431/2454-6380.0402005

Cited by 1 publication

(6 citation statements)

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“…We observed an indirect effect on golf performance in two different studies ( Quevedo et al, 2014 ; Dalton, Guillon & Naroo, 2015 ) due to the enhanced distributions of C-HELPs in the HPA sample (55.1% and 50% respectively for the two studies). We also observed an increased percentage of C-HELPs (42%) in the top 50 tennis players in the world ( Dallas, Mavvidis & Ziagkas, 2018 ). We consider an indirect effect on performance for soccer players because 53% of the HPA are C-HELPs ( Zouhal et al, 2018 ).…”

Section: Resultsmentioning

confidence: 65%

“…Bache & Orellana (2014) collected Dorochenko (2013) observations, pointing out that most of the Top 10 ATP tennis players are C-HELPs. We should also be cautious with the results for tennis given by Dallas, Mavvidis & Ziagkas (2018) , who reported an overrepresentation of C-HELPs (42%) in the world’s top fifty tennis players, as we found methodological inadequacies in eyedness assessment with indirect and non-standardized measurements (observation of images from the internet). Another hypothesis reported by Azémar, Stein & Ripoll (2008) tries to explain the advantage of the C-HELP in dual sports as the result of a shorter reaction time for C-HELP subjects.…”

Section: Discussionmentioning

confidence: 82%

“…One of the studies Dallas, Mavvidis & Ziagkas (2018) used observation of photographs of the athletes playing found on the web to evaluate the hand and eye dominance. This is a non-validated method that is based on a subjective assessment by the examiner.…”

Section: Resultsmentioning

confidence: 99%

“…The C-HELP percentage reported for regular and high-level athletes of certain sports is higher than in the normal population, 52.5% in golf ( Dalton, Guillon & Naroo, 2015 ; Quevedo et al, 2014 ), 42% in tennis Dallas, Mavvidis & Ziagkas (2018) , and between 50.7% and 53% in soccer, volleyball, handball, basketball, hockey, softball, and water polo ( Quevedo et al, 2014 ; Zouhal et al, 2018 ). As these data indicate, C-HELP subjects seem to have performance advantages in these sports modalities.…”

Section: Discussionmentioning

confidence: 99%

“…Sports that are considered asymmetric have been more deeply studied since they imply the preferential use of one of the two sides of the body to throw, hit or use implements. These include tennis ( Dallas, Mavvidis & Ziagkas, 2018 ), golf ( Dalton, Guillon & Naroo, 2015 ; Sugiyama & Lee, 2005 ), baseball ( Laby et al, 1998 ; Classe et al, 1996 ; Portal & Romano, 1988 ), cricket ( Thomas, Harden & Rogers, 2005 ) and basketball ( Shick, 1971 , 1977 ; Lopez-Diaz et al, 2015 ). Several studies have analyzed the relation between the distribution of laterality profiles and their effects on sports performance.…”

Section: Introductionmentioning

confidence: 99%

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Could hand-eye laterality profiles affect sport performance? A systematic review

Moreno

Capdevila

Losilla

2022

PeerJ

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Background Laterality effects on sports performance have been a field of interest for the sports sciences, especially in asymmetrical sports, which require the preferential use of one side of the body. Some sports in particular involve the visual system and ocular laterality, due to the need to clearly focus on a dynamic object (ball, opponent, projectile, etc.). The relationship between manual and ocular laterality results in two perceptual-motor profiles, one where the dominant hand and eye are ipsilateral (uncrossed hand-eye laterality profile, UC-HELP), and the other where they are contralateral (crossed hand-eye laterality profile, C-HELP). Methodology A systematic review of the literature was carried out to determine the prevalence of hand-eye laterality profiles in the different sports modalities and their relationship with psychological factors and sports performance. Searches of PsycInfo, Medline, Scopus and grey literature identified 14 studies (2,759 participants) regarding hand-eye laterality in sports that met the eligibility criteria. Results Previous studies have estimated that between 10–30% of the general population exhibit a C-HELP, and 70–90% have an UC-HELP. The results of the reviewed studies indicate that in some sports the percentage of C-HELP is higher in regular and high-level athletes than in the normal population: golf (52.55%), soccer (53%), tennis (42%) and team sports (50.7%). In target sports (archery and shooting) athletes with an UC-HELP seem to have an advantage given the significant concentration of this profile in the highest performing populations (82.3%). In basketball, cricket and golf, the literature reviewed also reported biomechanical differences in the execution of some techniques between the two profiles. We did not find any study in our review that related hand-eye laterality with cognitive, tactical, or psychological aspects of athletes. Conclusions These results should be taken with great caution due to the potential bias linked to the methodologies used in the investigations, the heterogeneity in the assessment of hand-eye laterality, the few studies available on the subject and the indirect nature of many of the observed relationships between performance and laterality. For further investigation, we propose a standardized terminology and protocol of hand-eye laterality assessment in sports. The advancement in knowledge about hand-eye laterality profiles, along with the study of the relationship with psychological or tactical-sports patterns, can contribute to more effective development plans for athletes and can be a complement to talent detection.

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Section: Resultsmentioning

confidence: 65%

Section: Discussionmentioning

confidence: 82%

Section: Resultsmentioning

confidence: 99%