| Literature DB >> 26240656 |
Silvia Sedano1, Roel Vaeyens2, Juan Carlos Redondo3.
Abstract
The purposes of the study were to examine relative age effects (RAEs) in Spanish female soccer and to identify the influence of a playing position. The sample comprised all female players (n=4035) of five different competitive levels in the 2010-2013 seasons: First, Second and Third divisions (n=936, n=1711 and n=870, respectively), and National and Regional (n=232 and n=286, respectively) teams were included. Differences between the observed and expected birth-date distributions were tested based on data from the general Spanish population, using the chi-square statistic followed up by calculating odds ratios and 95% confidence intervals. Results revealed that the birth-date distributions of almost all groups of football players showed an overrepresentation of players born in the first quartile. Only in the lowest level was age distribution not significantly different from that of the general population. Moreover, the RAE risk progressively increased with a higher level of involvement. It was also observed that at some playing positions the birth-date distributions were significantly biased. That was the case for goalkeepers and defenders. It could be concluded that in the current structure of Spanish female soccer there is a relative age effect, probably due to the early processes of talent identification.Entities:
Keywords: biological maturity; birth-date; female sport; talent selection
Year: 2015 PMID: 26240656 PMCID: PMC4519203 DOI: 10.1515/hukin-2015-0041
Source DB: PubMed Journal: J Hum Kinet ISSN: 1640-5544 Impact factor: 2.193
Figure 1Spanish female soccer structure
Description and distribution of players’ positions
| Position | NT | RT | FDG | SDG | Total |
|---|---|---|---|---|---|
| Goalkeeper | 22 | 36 | 97 | 177 | 332 |
| Defender | In this position the database included centre-backs, wing-backs and full backs without distinction | ||||
| 66 | 95 | 300 | 552 | 1013 | |
| Midfielders | In this position the database included centre-midfielders, defensive-midfielders, attacking-midfielders and wide-midfielders without distinction | ||||
| 60 | 59 | 205 | 333 | 657 | |
| Forwards | In this position the database included centre-forward, second-striker and winger without distinction | ||||
| 55 | 70 | 207 | 373 | 705 | |
Quarterly distribution of birth dates for the five subgroups and for the Spanish general population
| Group | Q1 | Q2 | Q3 | Q4 | Total | ||
|---|---|---|---|---|---|---|---|
| National team | 80 (34,5%) | 73 (31,5%) | 46 (19,8%) | 33 (14,2%) | 232 | 25.48 | 0.0001 |
| Regional team | 107 (37,4%) | 89 (31,1%) | 35 (12,2%) | 55 (19,2%) | 286 | 44.02 | 0.0002 |
| First division | 252 (26,9%) | 308 (32,9%) | 199 (21,3%) | 177 (18,9%) | 936 | 43.90 | 0.0001 |
| Second division | 477 (27,9%) | 506 (29,6%) | 348 (20,3%) | 380 (22,2%) | 1711 | 40.18 | 0.0003 |
| Third Division | 255 (29,3%) | 185 (21,3%) | 219 (25,2%) | 211 (24.3%) | 870 | 5.25 | |
| Spanish population | 1048768 (24.6%) | 1086980 (25.5%) | 1079649 (25.4%) | 1043592 (24.5%) | 4258989 | 1.04 |
Figure 2Quarterly distribution of birth dates for the four subgroups of players in which the separate chi-square analyses revealed that the distribution differed significantly from that of the general population. (p<0.05)
Odds ratios (and the 95% confidence interval) examining birth-date distributions in relation to female soccer players’ subgroups
| Odds ratio comparisons (95% confidence interval) | ||||
|---|---|---|---|---|
| Group | Q1 vs Q4 | Q2 vs Q4 | Q3 vs Q4 | S1 vs S2 |
| National team | 2.68 (1.99–4.32) | 2.60 (2.30–5.03) | 1.09 (0.88–2.72) | 2.18 (2.02–3.45) |
| Regional team | 2.24 (2.34–5.51) | 2.15 (2.22–4.75) | 0.75 (0.71–1.27) | 2.10 (2.13–3.99) |
| First division | 2.02 (2.15–4.01) | 2.02 (2.28–4.15) | 0.99 (0.86–0.98) | 2.07 (1.99–3.07) |
| Second division | 1.22 (0.97–1.83) | 1.03 (0.93–1.54) | 0.89 (0.88–1.07) | 1.54 (1.75–2.72) |
| Third Division | 0.66 (1.07–1.11) | 0.74 (1.02–1.11) | 0.43 (0.75–0.85) | 0.32 (1.09–1.17) |
Half-year distribution of birth dates for the five subgroups of Spanish female soccer players
| Competitive level | Position | S1 | S2 | Total | X2 | p |
|---|---|---|---|---|---|---|
| Goalkeepers (NT) | 13 (59.1%) | 9 (40.9%) | 22 | 0.468 | 0.494 | |
| Goalkeepers (RT) | 29 (80.5%) | 7 (19.4%) | 36 | 6.003 | 0.038 | |
| Goalkeepers (FDG) | 60 (61.9%) | 37 (38.1%) | 97 | 0.139 | 0.709 | |
| Goalkeepers (SDG) | 105 (59.3%) | 72 (40.7%) | 177 | 9.231 | 0.022 | |
| Defenders (NT) | 41 (62.1%) | 25 (37.9%) | 66 | 0.442 | 0.506 | |
| Defenders (RT) | 67 (70.5%) | 28 (29.5%) | 95 | 8.571 | 0.035 | |
| Defenders (FDG) | 180 (60%) | 120 (40%) | 300 | 0.001 | 0.998 | |
| Defenders (SDG) | 319 (57.8%) | 233 (42.2%) | 552 | 8.031 | 0.021 | |
| Midfielders (NT) | 60 (67.4%) | 29 (32.6%) | 89 | 3.416 | 0.065 | |
| Midfielders (RT) | 59 (69.4%) | 26 (30.6%) | 85 | 0.007 | 0.935 | |
| Midfielders (FDG) | 205 (61.7%) | 127 (38.2%) | 332 | 0.422 | 0.516 | |
| Midfielders (SDG) | 333 (56.3%) | 258 (43.6%) | 591 | 0.189 | 0.604 | |
| Forwards (NT) | 30 (54.5%) | 25 (45.5%) | 55 | 2.498 | 0.111 | |
| Forwards (RT) | 47 (67.1%) | 23 (32.8%) | 70 | 0.914 | 0.339 | |
| Forwards (FDG) | 112 (54.1%) | 95 (45.9%) | 207 | 3.777 | 0.092 | |
| Forwards (SDG) | 201 (53.9%) | 172 (46.1%) | 373 | 2.590 | 0.108 |
The expected birth-date distribution corresponds to the observed birth-date distribution in each competitive level
Figure 3Half-year distribution of birth dates in the subgroups in which the separate chi-square analyses revealed that the distribution differed significantly from the observed birth-date distribution in that level (p<0.05)