Impact of successive basketball matches in psychophysiological response and neuromuscular performance in adolescent players

Pinto, Júlio César Barbosa de Lima; Menezes, Tancredo Cesar Barbosa; Fonteles, André Igor; Mortatti, Arnaldo Luís

doi:10.1007/s11332-022-01000-4

Cited by 2 publications

(1 citation statement)

References 37 publications

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“…One-way ANOVA with repeated measures is used to compare three or more groups composed of the same subjects. For example, it can be useful when we want a pre -in itinere and post intervention group, like three basket matches, to verify the changes in humor (Pinto et al, 2022). The non-parametric version is the Friedman test.…”

Section: One-way Mancovamentioning

confidence: 99%

Tips for Statistical Tools for Research Methods in Exercise and Sport Sciences

Aliberti

D’Elia

Cherubini

2023

Teor. metod. fiz. vihov.

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Study purpose. The increasing amount of research in Exercise and Sport Sciences emphasized the use of increasingly heuristic statistical tools appropriate to the aim in terms of qualitative, quantitative, and qualitative-quantitative data. Often, a lack of knowledge of statistical tools and their appropriateness for data analysis, especially between the use of parametric and non-parametric statistical techniques, is encountered by researchers. This requires the indispensable use of statistical experts, who, for the comprehensive understanding of the research design, need the use of human and economic resources that could probably be used differently and more efficiently. The aim of this study was to provide a list of the most used statistical methods in Exercise and Sport Sciences, focusing on the distinction between parametric and non-parametric statistical processing for both quantitative and qualitative research. Materials and methods. The method was the literature review with argumentative elaborations concerning the validity of the use of the statistical tools. Results. A total of 22 statistical tools, both parametric and non-parametric, were found: 5 useful to test relationship, 7 to compare two groups and 10 to compare two or more groups. For each statistical tool, a scientific paper related to Exercise and Sport Sciences was collected. Conclusions. These data allow developing potential guidelines, applying to Exercise and Sport Sciences, for the rigorous model of research projects with a systematic use of statistical processing in the complete hypothesis of the study.

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Section: One-way Mancovamentioning

confidence: 99%

Tips for Statistical Tools for Research Methods in Exercise and Sport Sciences

Aliberti

D’Elia

Cherubini

2023

Teor. metod. fiz. vihov.

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Dismissing the idea that basketball is a “contactless” sport: quantifying contacts during professional gameplay

Wellm,

Jäger,

Zentgraf

2024

Front. Sports Act. Living

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IntroductionBasketball, introduced by Naismith as a contactless and indoor alternative to sports such as American football, now frequently involves physical contact among players, challenging the traditional notion. Up to date, a thorough understanding of these contacts and their implications remains limited. This study aims to analyze player contacts, embedding it within overall load monitoring to optimize performance and reduce injury risk.MethodsUsing a mixed-method design, video-based observations and quantitative analysis were employed to study contact characteristics during ten professional male basketball matches. Fisher exact tests and chi-squared tests (p < .05) were conducted to examine positional variations across different contact variables.ResultsA total of 2,069 player contacts were examined, showing centers had the most contacts at 40.5%, followed by power forwards (19.6%), point guards (17.7%), shooting guards (12.9%), and small forwards (9.3%). Notably, half-court defense (46.1%) and set offense (48.9%) emerged as the primary game phases associated with the majority of contacts across all playing positions. Key play actions leading to physical contact included screening/picking (25.7%), box outs (22.9%), and fights for position (FFP) (18%). Post hoc analyses identified significant associations between centers (32.6%, 5.93) and point guards (21.5%, −1.98) during screening/picking maneuvers. Moreover, the torso/upper body (48.1%) and upper extremities (38.2%) were identified as the most affected contact points, while lower extremities and the head/neck exhibited minimal impact. Additionally, 81.4% (n = 1,684) of contacts resulted in kinematic displacement, whereas 18.6% (n = 385) exhibited no change. Post hoc analyses indicated significant associations of physical contacts against opposing counterparts for each playing position.DiscussionBasketball entails frequent physical contacts across all playing positions, with distinct patterns observed for each playing position. Integrating contact monitoring alongside traditional load metrics offers a more comprehensive understanding of physical demands in professional basketball. Practical implications include the developing of tailored training strategies based on playing position-specific contact profiles and recognizing the physiological and biomechanical impacts of contacts. Future research should consider whether the number of contacts between players has increased over the years, and it should acknowledge the impact of player contacts on performance in basketball in order to refine training strategies and enhance player well-being.

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Impact of successive basketball matches in psychophysiological response and neuromuscular performance in adolescent players

Cited by 2 publications

References 37 publications

Tips for Statistical Tools for Research Methods in Exercise and Sport Sciences

Tips for Statistical Tools for Research Methods in Exercise and Sport Sciences

Dismissing the idea that basketball is a “contactless” sport: quantifying contacts during professional gameplay

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