| Literature DB >> 31293489 |
Corrado Lupo1, Gennaro Boccia1, Alexandru Nicolae Ungureanu1, Riccardo Frati2, Roberto Marocco2, Paolo Riccardo Brustio1.
Abstract
Many previous studies in national team sports did not report evidence about relative age effect (RAE) in senior categories. This study aimed for the first time to determine if the RAE may specifically affect the early, but not the late, phase of senior career in elite team sports. A total of 3,319 birthdates (basketball: n = 642; rugby: n = 572; soccer: n = 1318; volleyball: n = 337; water polo: n = 450) of elite senior players were analyzed. Senior players with an age lower or equal to the 25° percentile of age were considered as early phase players while the others as late phase players. Separate Poisson regression models were applied to investigate the RAE in each sport (overall, and for early phase and late phase subgroups). Considering the overall sample, players born close to the beginning of the year were 1.57, 1.34, 2.69, 1.48, and 1.45 times more likely to reach first and second Italian division of basketball, rugby, soccer, volleyball, and water polo respectively, than those born in the last part of the year. RAE was present in all early phase subgroups. Differently, in the late phase subgroups the RAE was present only in soccer. Data highlighted a bias in the selection of senior teams, which may limit the chance to identify talented players born late in the second part of the year. Italian sport federations should promote the talent development of relatively younger players by equally promoting the joining of young players to senior teams.Entities:
Keywords: RAE; biological age; physical maturation; talent identification; team sports
Year: 2019 PMID: 31293489 PMCID: PMC6606777 DOI: 10.3389/fpsyg.2019.01465
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
FIGURE 1Scatter-plots of birthdates reported for each team sport (i.e., basketball, rugby, soccer, volleyball, and water polo) in relation to the entire samples, and to the early phase and late phase career subgroups. The red line represents the best fit of the Poisson regression.
Poisson regression results in basketball, rugby, soccer, volleyball, and water polo.
| Basketball | Rugby | Soccer | Volleyball | Water polo | ||
|---|---|---|---|---|---|---|
| Overall | N | 642 | 572 | 1318 | 337 | 450 |
| WB | 25 ± 15 | 25 ± 16 | 22 ± 14 | 25 ± 14 | 25 ± 15 | |
| TB | 0.46 ± 0.29 | 0.48 ± 0.3 | 0.42 ± 0.28 | 0.47 ± 0.27 | 0.45 ± 0.29 | |
| b0 | 2.732 | 2.541 | 3.687 | 2.058 | 2.337 | |
| b1 | -0.454 | -0.294 | -1.000 | -0.392 | -0.370 | |
| 0.12 | 0.07 | 0.6 | 0.07 | 0.11 | ||
| <0.0001 | 0.04 | <0.0001 | 0.04 | 0.02 | ||
| Early phase | N | 168 | 149 | 376 | 115 | 147 |
| WB | 23 ± 15 | 24 ± 16 | 21 ± 14 | 23 ± 15 | 23 ± 15 | |
| TB | 0.42 ± 0.28 | 0.44 ± 0.30 | 0.39 ± 0.27 | 0.42 ± 0.28 | 0.43 ± 0.28 | |
| b0 | 1.714 | 1.457 | 2.581 | 1.243 | 1.415 | |
| b1 | -0.866 | -0.729 | -1.333 | -0.716 | -0.611 | |
| 0.19 | 0.14 | 0.47 | 0.16 | 0.12 | ||
| <0.0001 | 0.01 | <0.0001 | 0.03 | 0.04 | ||
| Late phase | N | 474 | 423 | 942 | 222 | 303 |
| WB | 25 ± 15 | 26 ± 16 | 23 ± 14 | 26 ± 14 | 26 ± 15 | |
| TB | 0.48 ± 0.29 | 0.49 ± 0.3 | 0.43 ± 0.28 | 0.49 ± 0.27 | 0.49 ± 0.29 | |
| b0 | 2.351 | 2.171 | 3.283 | 1.472 | 1.820 | |
| b1 | -0.288 | -0.152 | -0.829 | 0.037 | -0.145 | |
| 0.06 | 0.02 | 0.47 | 0 | 0.01 | ||
| 0.07 | 0.37 | <0.0001 | 0.87 | 0.56 |