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Relative age effect and its relationship with morphological characteristics and performance in young soccer players

Efeito da idade relativa e sua relação com as características morfológicas e de desempenho em jovens futebolistas

Abstract

In soccer, the relative age effect (RAE) was observed in both adult and young players. The RAE appears to be more pronounced in elite sports, probably by the need to select the best players to compete internationally. This study review: (1) the prevalence of RAE in soccer players, (a) considering competitive level (b) and specific position and (2) association between RAE (a) and anthropometric characteristics, (b) physical fitness components and technical skills. A total of 12 studies met all inclusion criteria for this review. One trial (meta-analysis) was included after the eligibility process. Overall, 77675 young soccer players were analysed. In all studies, significance level of 0.05 was set for the type I error. There is a consensus about the presence of an RAE in men's soccer, and the percentage of players born in the first quarter in the selection year for professionals is high, with peak values found for elite young athletes, and a large decrease is evident throughout the regional and school representation. The relationship between RAE and the specific position is controversial, according to few studies. It is likely that players born in the first quarter differ in a variety of anthropometric characteristics and physical fitness components compared with peers born in the last quarter. Researchers need to understand the mechanisms by which RAE increase and decrease in order, to reduce and eliminate this social inequality that influence the experiences of athletes, especially in periods of development. Organizational and practical intervention is required.

Key words:
Physical fitness; Relative age effect; Soccer

Resumo

No futebol, o 'efeito da idade relativa' foi encontrado tanto em jogadores adultos quanto em jovens. O 'efeito da idade relativa' parece ser mais pronunciado em esportes de elite, provavelmente, pela necessidade de selecionar os melhores jogadores para competir em nível internacional. Revisamos: (1) a prevalência do 'efeito da idade relativa' em jogadores de futebol, (a) considerando o nível competitivo (b) e a posição específica e (2) a associação entre o 'efeito da idade relativa' (a) sobre as características antropométricas, (b) componentes da aptidão física e habilidades técnicas. Um total de doze estudos preencheram todos os critérios de inclusão para esta revisão. Um ensaio (meta análise) foi incluído após o processo de elegibilidade. O total de 77675 jovens futebolistas foi analisado. Em todos os estudos, um nível de significância de 0.05 foi estabelecido para o erro tipo I. É consenso na literatura a presença de um EIR no futebol masculino, sendo a porcentagem de jogadores nascidos no primeiro trimestre do ano de seleção alta para os profissionais, com valores de pico encontrados para os jovens de elite, e que ao longo da representação regional e escolar se evidencia um grande decréscimo. Para posição específica, a relação com EIR é controversa dado aos poucos estudos. É provável que os jogadores nascidos no primeiro trimestre do ano de seleção diferem em uma série de medidas antropométricas e aptidão física, em comparação com os pares que nascem no último semestre. Os pesquisadores precisam entender os mecanismos pelos quais o 'efeito da idade relativa' aumenta e diminui, para reduzir e eliminar esta desigualdade social que influencia as experiências dos atletas, especialmente, em períodos de desenvolvimento. É necessária a intervenção organizacional e prática.

Palavras-chave:
Aptidão física; Efeito da idade relativa; Futebol

INTRODUCTION

In order to provide appropriate development, competition and equal opportunities for successful training, children are usually grouped by chronological age in many sports11 Cobley S, Baker J, Wattie N, McKenna J. Annual age-grouping and athlete development. Sports Med 2009;39(3):235-56.

2 Helsen WF, Starkes JL, Van Winckel J. Effect of a change in selection year on success in male soccer players. Am J Hum Biol 2000;12(6):729-35.

3 Mujika I, Vaeyens R, Matthys SP, Santisteban J, Goiriena J, Philippaerts R. The relative age effect in a professional football club setting. J Sports Sci 2009;27(11):1153-8.
-44 Musch J, Grondin S. Unequal Competition as an Impediment to Personal Development: A Review of the Relative Age Effect in Sport. Dev Rev 2001;21(2):147-67.. However, considerable complexities can arise due to the existence of significant interindividual variations related to growth and biological maturation especially evident in childhood and adolescence55 Malina RM, Eisenmann JC, Cumming SP, Ribeiro B, Aroso J. Maturity-associated variation in the growth and functional capacities of youth football (soccer) players 13-15 years. Eur J Appl Physiol 2004;91(5-6):555-62.. The Fédération Internationale de Football Association66 Helsen WF, Starkes JL, Van Winckel J. The relative age effect in youth soccer across Europe. J Sports Sci 2005;23(6):629-36. (FIFA) established January 1st as the start date for the selection year for international competitions (specifically from 1st January to 31 December). This age difference among individuals in the same age group is referred to as relative age, and its consequence is known as the relative age effect44 Musch J, Grondin S. Unequal Competition as an Impediment to Personal Development: A Review of the Relative Age Effect in Sport. Dev Rev 2001;21(2):147-67. (RAE).

The majority of studies on this topic are focused on assessing the distribution of the different quartiles and their relationship with the sporting success. The strong linear relationship between month of birth and the proportion of players in the National Hockey League and Canadian leagues was demonstrated for the first time77 Barnsley RH, Thompson AH, Barnsley PE. Hockey success and birthdate: The relative age effect. Journal of the Canadian Association of Health, Physical Education and Recreation1985;51:23-28.. There are approximately four times more players born in the first quarter of the year compared to the last quarter11 Cobley S, Baker J, Wattie N, McKenna J. Annual age-grouping and athlete development. Sports Med 2009;39(3):235-56.,88 Helsen WF, Hodges NJ, Van Winckel J, Starkes JL. The roles of talent, physical precocity and practice in the development of soccer expertise. J Sports Sci 2000;18(9):727-36.. Soccer, like ice hockey, is among the most popular sports around the world featuring a high prevalence of RAE11 Cobley S, Baker J, Wattie N, McKenna J. Annual age-grouping and athlete development. Sports Med 2009;39(3):235-56..

In soccer, RAE is observed in both adult99 Cobley SP, Schorer J, Baker J. Relative age effects in professional German soccer: a historical analysis. J Sports Sci 2008;26(14):1531-8.

10 Costa V, Simim M, Noce F, Costa I, Samulski D, Moraes L. Comparison of relative age of elite athletes participating in the 2008 Brazilian soccer championship series A and B. Motr 2009;5(3):13-7.

11 Delorme N, Boiché J, Raspaud M. Relative age effect in elite sports: methodological bias or real discrimination? Eur J Sport Sci 2010;10(2):91-6.

12 Helsen WF, Baker J, Michiels S, Schorer J, Van Winckel J, Williams AM. The relative age effect in European professional soccer: did ten years of research make any difference?. J Sports Sci 2012;30(15):1665-71.
-1313 Jimenez IP, Pain MT. Relative age effect in Spanish association football: its extent and implications for wasted potential. J Sports Sci 2008;26(10):995-1003. and young players1313 Jimenez IP, Pain MT. Relative age effect in Spanish association football: its extent and implications for wasted potential. J Sports Sci 2008;26(10):995-1003.

14 Wiium N, Lie SA, Ommundsen Y, Enksen HR. Does relative age effect exist among norwegian professional soccer players?. Int J Appl Sports Sci 2010;22(2):66-76.

15 Augste C, Lames M. The relative age effect and success in German elite U-17 soccer teams. J Sports Sci 2011;29(9):983-7.

16 Del Campo DGD, Vicedo JCP, Villora SG, Jordan ORC. The relative age effect in youth soccer players from Spain. J Sports SciMed 2010;9(2):190-198.
-1717 Deprez D, Vaeyens R, Coutts AJ, Lenoir M, Philippaerts R. Relative age effect and Yo-Yo IR1 in youth soccer. Int J Sports Med 2012;33(12):987-93.. RAE appears to be more pronounced in elite sports1818 Williams JH. Relative age effect in youth soccer: analysis of the FIFA U17 World Cup competition. Scand J Med Sci Sports 2010;20(3):502-8., probably by the need to select the best players to compete internationally. Players belonging to high competitive level1919 Lago-Peñas C, Casais L, Dellal A, Rey E, Domínguez E. Anthropometric and physiological characteristics of young soccer players according to their playing positions: relevance for competition success. J Strength Cond Res 2011;25(12):3358-67. teams tend to be slimmer and to show greater muscle mass compared to those of lower competitive level.

The influence of relative age is also observed in the functional and technical performance of athletes. Many classifications were created in an attempt to explain the specific psychomotor skills required by certain types of sports88 Helsen WF, Hodges NJ, Van Winckel J, Starkes JL. The roles of talent, physical precocity and practice in the development of soccer expertise. J Sports Sci 2000;18(9):727-36.. A key element of the selection process2020 Pyne DB, Gardner AS, Sheehan K, Hopkins WG. Positional differences in fitness and anthropometric characteristics in Australian football. J Sci Med Sport 2006;9(1-2):143-50. is the analysis of the anthropometric characteristics and performance of participants. Considering the importance of these characteristics, different mechanisms have been proposed to explain the causes of RAE2121 Carling C, Le Gall F, Reilly T, Williams AM. Do anthropometric and fitness characteristics vary according to birth date distribution in elite youth academy soccer players?. Scand J Med Sci Sports 2009;19(1):3-9.. Variations in biological maturation and physical attributes (greater aerobic capacity, muscle strength and height) appear to be also important aspects.

The advantage of having been born at the beginning of the selection year may relate to physical precocity, in other words, players have the advantage of up to 12 months in physical maturation over their peers born at the end of the selection year88 Helsen WF, Hodges NJ, Van Winckel J, Starkes JL. The roles of talent, physical precocity and practice in the development of soccer expertise. J Sports Sci 2000;18(9):727-36.. This difference can lead to significant changes in anthropometric variables (height, body mass), development of physical fitness (strength, speed, endurance), cognitive skills (game analysis, insight, tactical ability) and psychological variables55 Malina RM, Eisenmann JC, Cumming SP, Ribeiro B, Aroso J. Maturity-associated variation in the growth and functional capacities of youth football (soccer) players 13-15 years. Eur J Appl Physiol 2004;91(5-6):555-62.,88 Helsen WF, Hodges NJ, Van Winckel J, Starkes JL. The roles of talent, physical precocity and practice in the development of soccer expertise. J Sports Sci 2000;18(9):727-36.. However, these athletes may not always emerge as the best athletes during adulthood44 Musch J, Grondin S. Unequal Competition as an Impediment to Personal Development: A Review of the Relative Age Effect in Sport. Dev Rev 2001;21(2):147-67.. Rather, these advantages may only contribute to the existence of RAE in soccer, especially among younger players33 Mujika I, Vaeyens R, Matthys SP, Santisteban J, Goiriena J, Philippaerts R. The relative age effect in a professional football club setting. J Sports Sci 2009;27(11):1153-8.,2222 Vaeyens R, Philippaerts RM, Malina RM. The relative age effect in soccer: a match-related perspective. J Sports Sci 2005;23(7):747-56..

It is noteworthy that there are few studies that relate RAE, competitive level and specific position on anthropometric variables, physical fitness and technical skills of young soccer players. As a way to fill the gap in literature, this study aims to review RAE, competitive level (professional, amateur, elite, regional and local), specific position (defenders, midfielders and forwarders) and anthropometric variables, physical fitness and technical skills in young soccer players aiming to conclude what extent is the knowledge about this issue and what are the future research directions.

An extensive search of the online electronic database was held in Pub-Med without time limit. Text words, keywords and descriptors used in the research were: soccer AND (relative age effect). Inclusion criteria were studies published in English that included young soccer players in their sample. Repeated publications for the same studies were excluded. In the presence of any doubt about study inclusion, a final consensus decision was taken after the full text was jointly reviewed. The references of the selected studies were analysed to obtain other relevant studies.

Overall, 37 potentially relevant studies were identified by electronic database and the manual search of reference lists identified other four. A total of 12 studies met all inclusion criteria for this review. One trial (metaanalysis) was included after the eligibility process. Overall, 77,675 young soccer players from 11 different countries were analysed. In all studies, a significance level of .05 was set for the type I error.

RELATIVE AGE EFFECT AMONG PROFESSIONAL TEAMS

The demographic study2323 Besson R, Poli R, Ravenel L. Demographic Study. CIES Football Observatory. 2013. Lausanne: Editions CIES. Available: http://www.football-observatory.com/Publications,18-
http://www.football-observatory.com/Publ...
with professional teams affiliated in European Football Associations (UEFA) in thirty-one first-division championships stressed that players born in the first quarter (Q1) of each year are overrepresented (Q1 = 30% and Q4 = 19%) compared to those born in the last quarter (Q4). According to the above results99 Cobley SP, Schorer J, Baker J. Relative age effects in professional German soccer: a historical analysis. J Sports Sci 2008;26(14):1531-8., professional soccer players born from 1935 to 2007 in Germany also showed significant differences among quartiles, with Q1 being overrepresented compared with the other quartiles. Only the group of players born from 1946 to 1950 showed similar distribution in the year of birth.

Professional soccer players of the second and third Belgian divisions2222 Vaeyens R, Philippaerts RM, Malina RM. The relative age effect in soccer: a match-related perspective. J Sports Sci 2005;23(7):747-56. (1998/99 to 2002/03), were divided into 1A (old year selection, August) and 2A (new year selection, January). A strong association between quarter of birth and number of players in 1A group (p<.05) was demonstrated. Regardless of the selection criteria used, Q1 generated a greater number of players (1A, 28.8%; 2A, 31.5%), while the number of players born in Q4 was lower (1A, 19.9%; 2A, 19.5 %).

In the following decade, from 2000 to 2011, the distributions of professional players by date of birth were examined1212 Helsen WF, Baker J, Michiels S, Schorer J, Van Winckel J, Williams AM. The relative age effect in European professional soccer: did ten years of research make any difference?. J Sports Sci 2012;30(15):1665-71. in England, Portugal, Germany, Belgium, Netherlands, Spain, France, Italy, Denmark and Sweden. The comparative analysis of different ages revealed a significant increase in RAE from 2000-2001 to 2010-2011 (p<.05). While in the 2000-2001 season, 29.3% and 19.8% of athletes were born in Q1 and Q4, respectively, in 2010-2011, the relative frequencies were 31.9% and 18.4% respectively. In 20081010 Costa V, Simim M, Noce F, Costa I, Samulski D, Moraes L. Comparison of relative age of elite athletes participating in the 2008 Brazilian soccer championship series A and B. Motr 2009;5(3):13-7., all forty clubs that participated in the Brazilian Soccer Championship divisions A and B identified a greater number of players born in Q1. There was the preference of clubs of both divisions for recruiting athletes born in the 1st half of the year (Q1 x Q4, p≤.001; Q2 x Q4, p=.001).

RELATIVE AGE EFFECT IN YOUNG SOCCER PLAYERS

The meta-analysis11 Cobley S, Baker J, Wattie N, McKenna J. Annual age-grouping and athlete development. Sports Med 2009;39(3):235-56. of RAE in sport had its sample divided according to chronological age: <11 years, 11-14 years, 15-18 years and >18 years, and a progressive increase in RAE <11 years up to 15-18 years was observed. Comparison between Q1 and Q4 showed a small-moderate effect for individuals aged 15-18 years and decline in those >18 years. The same was observed in Japan2424 Hirose N. Relationships among birth-month distribution, skeletal age and anthropometric characteristics in adolescent elite soccer players. J Sports Sci 2009;27(11):1159-66., when analysing young soccer players recruited between 1997 and 2000. At ages 10-15 years, 37.9-58.8% of players were born in Q1. Moreover, 3.2-13.5% were born in Q4. These results indicate a significant change in the distribution of month of birth among adolescent elite soccer players compared with the general population (p<.001).

Young Belgian soccer players from eighteen clubs in the first and second division22 Helsen WF, Starkes JL, Van Winckel J. Effect of a change in selection year on success in male soccer players. Am J Hum Biol 2000;12(6):729-35. are in agreement with previously published studies. Of young players aged 14-16 years (1996-1997 period), 44.8% were born in Q1 and only 12.5% in Q4. In the 1997-1998 season (14-16 years), again, 29.6% were born in Q1 and only 21.9% in Q4. For players aged 16-18 years, the distributions were similar for both 1996-1997 and 1997-1998 seasons, and most players were born in Q1 (40.2% and 36.1%, respectively). Similarly, only 17.9% (1996-1997) and 18.4% (1997-1998) were born in Q4.

The Swiss system of talent identification2525 Romann M, Fuchslocher J. Relative age effects in Swiss junior soccer and their relationship with playing position. Eur J Sport Sci 2013;13(4):356-63. is based on three levels of performance. The 1st called 'Jugend und Sport' ('J+S'), which involves all children interested in participation and involvement in a specific sport. The 2nd level of performance is the program for the detection of national talents. National junior teams (U15 to U21) represent the 3rd level of performance. With the exception of 'J+S' (p>.05), and U20 (p>.05) group, all the other groups showed significant differences among quartiles (national talent (Q1 = 37.8% and Q4 = 13.9%, p<.001); U15 (Q1 = 52.7% and Q4 = 9.8%, p<.001); U16 (Q1 = 45.7% and Q4 = 11.7%, p<.001); U17 (Q1 = 52.4% and Q4 = 13.1%, p<.001); U18 (Q1 = 42.6% and Q4 = 8.9%, p<.001); U19 (Q1 = 39.5% and Q4 = 14.8%, p<.01); U21 (Q1 = 39.8% and Q4 = 19.4%, p<.001). The same results were found1616 Del Campo DGD, Vicedo JCP, Villora SG, Jordan ORC. The relative age effect in youth soccer players from Spain. J Sports SciMed 2010;9(2):190-198. in young Belgian elite soccer players (U10 to U19), that overall, 37.6% (33-43.3%) of players were born in Q1, while only 13.2% (12.2-13.9%) of players were born in Q4.

Once again, significant effects were found66 Helsen WF, Starkes JL, Van Winckel J. The relative age effect in youth soccer across Europe. J Sports Sci 2005;23(6):629-36.for Belgium (Q1 = 37.37%, Q4 = 10:10%, p<.01) Denmark (Q1 = 36.67%, Q4 = 8.89%, p<.01) England (Q1 = 50%, Q4 = 17:02%, p<.01) France (Q1 = 43.90%, Q4 = 14.63%, p<.01), Germany (Q1 = 50.49%, Q4 = 3.89%, p<.01) Italy (Q1 = 46.75%, Q4 = 3.90%, p<.01) Netherlands (Q1 = 36.84%, Q4 = 15.79%, p<.05), Portugal (Q1 = 45.83%, Q4 = 6.94, p<.01) Spain (Q1 = 36%, Q4 = 10%, p<.01), and Sweden (Q1 = 47.22%, Q4 = 2.78%, p<.05). Considering all the players belonging to the ten national teams66 Helsen WF, Starkes JL, Van Winckel J. The relative age effect in youth soccer across Europe. J Sports Sci 2005;23(6):629-36. U15, U16, U17 and U18 participants in the 1999-2000 season of UEFA competitions, 43.38% were born in Q1 and 9.31% in Q4 (p<0:01).

Strengthening RAE in young Belgian1616 Del Campo DGD, Vicedo JCP, Villora SG, Jordan ORC. The relative age effect in youth soccer players from Spain. J Sports SciMed 2010;9(2):190-198. elite soccer players, the distribution among quartiles of the date of birth of players significantly differed from the "Flemish" population (U15, p<.001; U17, p<.001; U19, <.001). The date of birth of all French male players1111 Delorme N, Boiché J, Raspaud M. Relative age effect in elite sports: methodological bias or real discrimination? Eur J Sport Sci 2010;10(2):91-6. affiliated to the French Football Federation during the 2006-2007 season from the database Federation revealed significant differences in age categories: U13 (p<.0001), U15 (p<.0001), U18 (p=.0001). A previous study1414 Wiium N, Lie SA, Ommundsen Y, Enksen HR. Does relative age effect exist among norwegian professional soccer players?. Int J Appl Sports Sci 2010;22(2):66-76. on German U17 soccer players belonging to forty teams in the premier league found a strong trend of selecting players born in Q1. Statistical tests were significant (p<.05) in twenty two of the forty teams (53.7%).

For the entire group of players1717 Deprez D, Vaeyens R, Coutts AJ, Lenoir M, Philippaerts R. Relative age effect and Yo-Yo IR1 in youth soccer. Int J Sports Med 2012;33(12):987-93., about 40% were born in Q1. In contrast, only 16% of players were born in Q4. The same RAE was identified (p<.05) when analysing intra regions (Africa, Asia and Oceania, Europe, North America and Central and South America), in FIFA U17 World Cup competitions (1997 to 2007)1818 Williams JH. Relative age effect in youth soccer: analysis of the FIFA U17 World Cup competition. Scand J Med Sci Sports 2010;20(3):502-8..

RELATIVE AGE EFFECT AND COMPETITIVE LEVEL IN YOUNG SOCCER PLAYERS

Box 1 shows the characteristic of eight studies that examined relative age effect and competitive level in young soccer players.

Box 1
Characteristic of studies that examined RAE and competitive level

Young elite soccer players2121 Carling C, Le Gall F, Reilly T, Williams AM. Do anthropometric and fitness characteristics vary according to birth date distribution in elite youth academy soccer players?. Scand J Med Sci Sports 2009;19(1):3-9. born in France (14-16 years old) were evaluated over eleven years (1994-2005). Players born in Q1 were the most represented, showing a decrease of the number of players born in subsequent quarters (p<.01). Professional (p<.01) and non-professional (p<.01) players showed a greater number of soccer players born in Q1. Analyses in the upper levels1313 Jimenez IP, Pain MT. Relative age effect in Spanish association football: its extent and implications for wasted potential. J Sports Sci 2008;26(10):995-1003. (U17 and U21) showed that young players from the first and second Spanish league have identical dates of birth in relation to soccer players from the U17 to U21 national team (p=.61), but are very different from those observed in professional players (p<.001). However, for young players, differences in distribution are not significant for this category (p=.64).

The meta-analysis11 Cobley S, Baker J, Wattie N, McKenna J. Annual age-grouping and athlete development. Sports Med 2009;39(3):235-56. showed that RAE is more evident in the representative group (regional and national representation, Q1 vs Q4 = OR:2.77). Interestingly, results suggest that RAE is lower among elite players (senior, OR:1.42). The analysis of Spanish33 Mujika I, Vaeyens R, Matthys SP, Santisteban J, Goiriena J, Philippaerts R. The relative age effect in a professional football club setting. J Sports Sci 2009;27(11):1153-8.soccer players showed that the percentage of players born in the first quarter was 43.9% in senior (p<.001), 46.6% in youth elite (p<.001), 28.6% in youth regional representation (p<.001) and 27.1% in school players (p<.001). Players born in Q4 accounted for 12.2, 10, 21.2 and 22.9% respectively for the 1985/1986 to 2005/2006 seasons. On the other hand2626 Costa ITd, Garganta J, Greco PJ, Mesquita I, Seabra A. Influence of relative age effects and quality of tactical behaviour in the performance of youth soccer players. Int J Perf Anal Sport 2010;10(2):82-97., young soccer players from northern Portugal aged 11-17 years who participated in regional competitions showed similar distribution of birth date among quartiles (Q1 = 27%, Q2 = 25%, Q3 = 23%, Q4 = 25%).

The percentages in the distribution2424 Hirose N. Relationships among birth-month distribution, skeletal age and anthropometric characteristics in adolescent elite soccer players. J Sports Sci 2009;27(11):1159-66. for young elite players were: 13 years Q1 = 57.6% and Q4 = 3.2%; 14 years Q1 = 53.2% and Q4 = 6.4%; 15 years Q1 = 48.8% and Q4 = 7.3%. The distribution of players (U11 to U18) grouped into three groups was also analyzed1515 Augste C, Lames M. The relative age effect and success in German elite U-17 soccer teams. J Sports Sci 2011;29(9):983-7., showing considerable variation in each of the three groups studied by quartile (Elite 2005-2006, p<.001; Elite 2008-2009, p<.001, Amateurs, p<.001). The comparison of Elite groups with Amateur groups revealed that the distribution of births in 2005-2006 and 2008-2009 in Elite groups significantly differed from the distribution of births in Amateur groups. Similar results66 Helsen WF, Starkes JL, Van Winckel J. The relative age effect in youth soccer across Europe. J Sports Sci 2005;23(6):629-36. were found for category U16 (Q1 = 48.96%, Q4 = 7.64%, p≤.01), when analyzing the distribution of birth dates of national teams U16, U18 and U21 participants in the 1999-2000 season of UEFA competitions.

In the Swiss2525 Romann M, Fuchslocher J. Relative age effects in Swiss junior soccer and their relationship with playing position. Eur J Sport Sci 2013;13(4):356-63. system, no significant differences were observed for the distribution of the Swiss population and 'J+S' (p≥.05). In all the selected teams (except for U20), Q1 for elite players were significantly overrepresented and Q4 underrepresented compared to 'J+S' (p<.01). Teams (national talent) showed a distribution of more than 35% in Q1, and less than 15% in Q4, which significantly differed from the distribution of 'J+S' (p<.001).

RELATIVE AGE EFFECT AND SPECIFIC POSITION IN YOUNG SOCCER PLAYERS

Box 2 shows the characteristic of the three studies that examined relative age effect and specific position in young soccer players.

Box 2
Characteristic of studies that examined RAE and specific position.

According to some authors1313 Jimenez IP, Pain MT. Relative age effect in Spanish association football: its extent and implications for wasted potential. J Sports Sci 2008;26(10):995-1003.,1515 Augste C, Lames M. The relative age effect and success in German elite U-17 soccer teams. J Sports Sci 2011;29(9):983-7. differences in the distribution of birth dates for specific position do not seem to be evident in young soccer players. However2525 Romann M, Fuchslocher J. Relative age effects in Swiss junior soccer and their relationship with playing position. Eur J Sport Sci 2013;13(4):356-63., significant differences (U15 to U21) among goalkeepers, defenders, midfielders and forwarders were identified. Defenders, midfielders and forwarders were overrepresented at the beginning of the selection year and, in each case; there was a decrease in the number of players who were born in subsequent quarters. Defenders were significantly (p<.05) overrepresented in the first semester (79%) compared with forwards (57%). The other comparisons were not significant.

RELATIVE AGE EFFECT AND ANTHROPOMETRICS CHARACTERISTICS IN YOUNG SOCCER PLAYERS

Box 3 shows the characteristics of the five studies that examined relative age affect and anthropometric characteristics in young soccer players.

Box 3
Characteristics of studies that examined RAE and anthropometric characteristics

Analysing soccer players 13-14 years old belonging to Portuguese clubs2727 Coelho ESMJ, Figueiredo AJ, Simoes F, Seabra A, Natal A, Vaeyens R, et al. Discrimination of u-14 soccer players by level and position. Int J Sports Med 2010;31(11):790-6. at regional level and local, it was found that regional soccer players, on average, were more experienced in soccer (p<.05), had advanced skeletal maturation (p<.01), were heavier (p<.01) and higher (p<.01) than those competing locally. It was also shown that soccer players for regional level and at specific positions were advanced in maturation [defenders: p<.01, midfielders: p<.01, forwarders: p<.05], were higher [defenders: p<.01; midfielders: p<.01, forwarders: p<.05] and heavier [defenders: p<.01; midfielders: p<.01, forwarders: p<.01] than players who compete at a local level.

Portuguese soccer players2828 Rebelo A, Brito J, Maia J, Coelho-e-Silva MJ, Figueiredo AJ, Bangsbo J, et al. Anthropometric characteristics, physical fitness and technical performance of under-19 soccer players by competitive level and field position. Int J Sports Med 2013;34(4):312-7. belonging to eleven U19 teams were evaluated (5 elite, 6 non-elite).No significant interaction between competitive level and specific position on the field and anthropometric characteristics and training (p>.05) were observed. However, elite goalkeepers and central defenders tend to be larger and heavier than non-elite players in their respective positions. Elite midfielders showed moderate differences in body mass, but not when compared to non-elite players. Small differences in height and weight were observed between defenders and forwarders. A study carried out is Spain1919 Lago-Peñas C, Casais L, Dellal A, Rey E, Domínguez E. Anthropometric and physiological characteristics of young soccer players according to their playing positions: relevance for competition success. J Strength Cond Res 2011;25(12):3358-67. with non-elite players aged 12-19 years showed that central defenders were taller and heavier in relation to external defenders, central midfielders, external midfielders and forwarders (p<.01).

There was a significant difference2424 Hirose N. Relationships among birth-month distribution, skeletal age and anthropometric characteristics in adolescent elite soccer players. J Sports Sci 2009;27(11):1159-66. between Q1 and Q4 for height only for players aged 12 years (p<.01) and 14 years (p<.05). The height of Q3 for players aged 12 years (p<.01), and Q4 for players aged 14 years (p<.01) were significantly lower than those of Q1 and Q2. In addition to these results, there was also a statistical difference in height for players aged 11 to 13 years when the maturational difference was statistically controlled, Q3 for players aged 13 years (p<.01), Q4 for players aged 11 years (p<.01) and 14 years (p<.05) were significantly lower than that those in Q1. A significant difference2121 Carling C, Le Gall F, Reilly T, Williams AM. Do anthropometric and fitness characteristics vary according to birth date distribution in elite youth academy soccer players?. Scand J Med Sci Sports 2009;19(1):3-9. was observed in height (Q4 vs Q1, p<.001) and weight (Q3 vs Q4, p=.049). In addition, the number of players born in Q1 was significantly higher (p<.05), indicating that the maturity offset in Q1 was lower in young soccer players in northern Spain2929 Gil SM, Badiola A, Bidaurrazaga-Letona I, Zabala-Lili J, Gravina L, Santos-Concejero J, et al. Relationship between the relative age effect and anthropometry, maturity and performance in young soccer players. J Sports Sci 2013;1():-.. On the other hand1616 Del Campo DGD, Vicedo JCP, Villora SG, Jordan ORC. The relative age effect in youth soccer players from Spain. J Sports SciMed 2010;9(2):190-198., no significant effect on anthropometric variables was observed (height and weight) among quartiles within all age categories: U15, U17 and U19.

RELATIVE AGE EFFECT AND PHYSICAL FITNESS AND TECHNICALSKILLS IN YOUTH SOCCER PLAYERS

Box 4 shows the characteristic of the five studies that examined relative age effect and physical fitness components and technical skills in young soccer players.

Box 4
Characteristic of studies that examined RAE and physical fitness components and technical skills

In 30-m sprint, central defenders were faster than the other groups1919 Lago-Peñas C, Casais L, Dellal A, Rey E, Domínguez E. Anthropometric and physiological characteristics of young soccer players according to their playing positions: relevance for competition success. J Strength Cond Res 2011;25(12):3358-67.. In squat jump (SJ) and countermovement jump (CMJ) tests, goalkeepers showed the best results, and the lowest values were found for external midfielders. Differences were not statistically significant. Better performance was observed2727 Coelho ESMJ, Figueiredo AJ, Simoes F, Seabra A, Natal A, Vaeyens R, et al. Discrimination of u-14 soccer players by level and position. Int J Sports Med 2010;31(11):790-6. in the functional characteristics [SJ (p<.01), sprint (p<.01), sum of seven sprints (p<.01)], but in only one technical skill [juggling (p<.05)] at regional level. Local and regional participants did not differ in agility, aerobic endurance, speed dribbling, precision shooting and passing. It was also observed2727 Coelho ESMJ, Figueiredo AJ, Simoes F, Seabra A, Natal A, Vaeyens R, et al. Discrimination of u-14 soccer players by level and position. Int J Sports Med 2010;31(11):790-6. that regional players showed better results on SJ [defenders: p<.01, forwards: p<.05] and 30-m sprint tests [defenders: p<.01, midfielders: p<.01] than players who compete at local level. In contrast, no significant differences were observed among positions in relation to agility trials, YYIR1, and technical skills (except for juggling, p<.05). Significant differences were found2121 Carling C, Le Gall F, Reilly T, Williams AM. Do anthropometric and fitness characteristics vary according to birth date distribution in elite youth academy soccer players?. Scand J Med Sci Sports 2009;19(1):3-9. in the year quarters for VO2max (Q4 vs Q1, p=.007), maximal anaerobic power (Q1 vs Q4, p=.039) and maximal concentric force (Q1 vs Q4, p<.001).

There was no2828 Rebelo A, Brito J, Maia J, Coelho-e-Silva MJ, Figueiredo AJ, Bangsbo J, et al. Anthropometric characteristics, physical fitness and technical performance of under-19 soccer players by competitive level and field position. Int J Sports Med 2013;34(4):312-7. effect of the interaction between competitive level and specific position in any of the tests or functional ability (p<.05). Elite goalkeepers tend to perform better than non-elite goalkeepers on all tests. Differences in SJ, YYIR2, juggling and CMJ were observed. Moderate differences were also observed for the performance of 5 - and 30-m sprint and agility. Elite defenders tend to be different from non-elite defenders in SJ and juggling, while differences in agility and YYIR2 were moderate. Elite midfielders showed moderate differences in 5 - and 30-m sprint, agility, juggling and YYIR2 compared with non-elite. Elite forwarders showed moderate differences in agility and YIR2 compared with non-elite forwarders.

When young soccer players from northern Spain2929 Gil SM, Badiola A, Bidaurrazaga-Letona I, Zabala-Lili J, Gravina L, Santos-Concejero J, et al. Relationship between the relative age effect and anthropometry, maturity and performance in young soccer players. J Sports Sci 2013;1():-. were analyzed, older players showed better performance in 15 - (p<.01) and 30-m sprint (p<.01) and agility tests for 15 - (p<.01) and 30-m (p<.05). In general, players who were born in the first quartile showed significantly better performance than those who were born in the last quartile. Older players also showed better performance on YYIR1 and CMJ, although not statistically significant. On the other hand3030 Deprez D, Coutts AJ, Fransen J, Deconinck F, Lenoir M, Vaeyens R, et al. Relative age, biological maturation and anaerobic characteristics in elite youth soccer players. Int J Sports Med 2013;34(10):897-903., significant benefits for physical fitness components (muscular strength and anaerobic power) in soccer players (U14 to U17) born in the first quarter compared to players born in all other quarters were not evident.

FINAL CONSIDERATIONS

In soccer competitions, players are usually grouped according to their chronological age. This study review: (1) the prevalence of RAE in soccer players, (a) considering competitive level (b) and specific position and (2) association between RAE (a) and anthropometric characteristics, (b) physical fitness components and technical skills.

There is a consensus the presence of a RAE in men's soccer: Players born after the cut-off dates are overrepresented (professional, amateur, elite, regional or local level). The reason for this selection behaviour is justified by the thought of immediate success and avoids the long-term goals of promoting and developing talent. While the coaches' of the young soccer players judge according to the probable performance advantage of those born at the beginning of the year selection for your success present, this bias may worsen, with prejudice to the sport and the young soccer players.

Some authors have shown that the percentage of players born in the first quarter of the selection year is high for professionals, but peak values were found for the youth elite and along the regional and school representation, a large decrease is evident. When compared to non-elite, the elite group (young players), it was observed that the distribution of births significantly differed. Given the relevance of the RAE and its potential to introduce a bias in the talent identification process, new studies correlating RAE and competitive level are needed for a better understanding of this issue, given that there are few studies focusing this theme.

The relationship between RAE and the specific position is controversial, according to few studies. While some authors show that there are no clear differences in the distribution of birth dates for specific position, others found that defenders, midfielders and forwarders were overrepresented at the beginning of the selection year. Some results have shown that young players with potential are neglected and that the subject is poorly documented, so further studies should be carried out in order to identify the possible spread and development of RAE. Thus, RAE and its relation to specific position is a gap to be filled.

It is likely that players born in the first quarter of the selection year differ in a variety of anthropometric characteristics and physical fitness components compared with peers born in the second half. Given this gap in literature and the lack of consistency in expected results on anthropometric variables, physical fitness components and technical skills, further studies should be carried out to better understand this selection bias, detection and development of 'talents'.

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Publication Dates

  • Publication in this collection
    May-Jun 2015

History

  • Received
    16 July 2014
  • Accepted
    02 Apr 2015
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