ABSTRACT
Introduction
The Relative Age Effect (RAE) refers to the chronological age difference that occurs between athletes of the same age category, which can benefit individuals born in the first two quartiles of the year. This phenomenon is commonly studied in team sports, yet the results are still inconsistent, especially in volleyball.
Objective
This study analyzed the distribution of the number of births per quartile of Olympic volleyball athletes and whether this would influence anthropometric/motor variables and technical elements.
Methods
The sample consisted of 116 male athletes who scored during the Rio 2016 Olympics. For data analysis, we identified each athlete’s quartile as well as data on height, attack and defensive (or block) range, and respective scores during the games. The Chi-square test was then used to verify interquartile distribution. To assess the normality of the other variables, we conducted the Kolmogorov-Smirnov test. Once accepted, one-way ANOVA was performed with the Bonferroni post-hoc test to verify significance between quartiles. A significance level of p≤0.05 was adopted.
Results
There was no significant difference in the distribution of athletes between quartiles (p = 0.74). When comparing the other variables in terms of the athletes’ trimester of birth, we did not observe any significant difference between height (p = 0.79), attack (p=0.59) and defensive range (p=0.07), and in the scores for serving, attacking and blocking between quartiles either.
Conclusion
The Relative Age Effect was not observed in Olympic volleyball athletes, therefore this phenomenon is not related to the athletes’ performance. This shows that other possible variables may influence the development of these athletes, discarding the relative age phenomenon. Level of Evidence III; Retrospective and Comparative Study.
Age distribution; Skills; Volleyball
