ORIGINAL PAPER
Relative age effect on student-athletes of Mato Grosso state (Brazil) participating in the National School Games depending on sex, age category, and sport type
1
Universidade Federal de Mato Grosso, Cuiabá, Brazil
2
Faculdade Centro Mato-grossense, Sorriso, Brazil
3
Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
4
Centro Universitário UDF, Brasília, Brazil
5
Centro Universitário IESB, Brasília, Brazil
6
Universidade Estadual Paulista, Rio Claro, Brazil
7
Universidade Federal de Juiz de Fora, Campus Avançado de Governador Valadares, Brazil
Submission date: 2022-04-30
Acceptance date: 2022-09-08
Publication date: 2022-11-04
Hum Mov. 2023;24(2):111-117
KEYWORDS
TOPICS
ABSTRACT
Purpose:
The relative age effect (RAE) is a widely reported phenomenon in elite sports context. However, little is known about its occurrence in other levels of practice, such as school sports. Thus, this study aimed to investigate the presence of RAE on Mato Grosso state (Brazil) student-athletes participating in National School Games depending on sex, age category, and sport type.
Methods:
Data from 440 student-athletes of Mato Grosso state (Brazil) who participated in 2 National School Games: 2019 Youth School Games (n = 250) and 2021 Brazilian School Games (n = 190) were organized depending on their quarters of birth. Chi-square tests were performed to compare their birthdates distribution in accordance with sex (male and female), age category (12–14 years old and 15–17 years old), and sport type (team and individual sports).
Results:
Athletes born in the first months of the year were more frequent than athletes born in the last months of the year in the overall sample, in males, in the younger age category, and in team sports (p < 0.008). On the other hand, no differences were found for females, athletes from the older age category, or athletes practising individual sports (p > 0.05).
Conclusions:
RAE is pervasive in the student-athletes of Mato Grosso state (Brazil), specifically for male athletes in early categories of team sports. Educating coaches regarding this effect and implementing specific counter-RAE interventions are warranted to minimize selection bias in this sports context.
The relative age effect (RAE) is a widely reported phenomenon in elite sports context. However, little is known about its occurrence in other levels of practice, such as school sports. Thus, this study aimed to investigate the presence of RAE on Mato Grosso state (Brazil) student-athletes participating in National School Games depending on sex, age category, and sport type.
Methods:
Data from 440 student-athletes of Mato Grosso state (Brazil) who participated in 2 National School Games: 2019 Youth School Games (n = 250) and 2021 Brazilian School Games (n = 190) were organized depending on their quarters of birth. Chi-square tests were performed to compare their birthdates distribution in accordance with sex (male and female), age category (12–14 years old and 15–17 years old), and sport type (team and individual sports).
Results:
Athletes born in the first months of the year were more frequent than athletes born in the last months of the year in the overall sample, in males, in the younger age category, and in team sports (p < 0.008). On the other hand, no differences were found for females, athletes from the older age category, or athletes practising individual sports (p > 0.05).
Conclusions:
RAE is pervasive in the student-athletes of Mato Grosso state (Brazil), specifically for male athletes in early categories of team sports. Educating coaches regarding this effect and implementing specific counter-RAE interventions are warranted to minimize selection bias in this sports context.
REFERENCES (30)
1.
Till K, Baker J. Challenges and [possible] solutions to optimizing talent identification and development in sport. Front Psychol. 2020;11:664; doi: 10.3389/fpsyg.2020.00664.
2.
Bilgiç M, Işın A. Embarking on a journey: a bibliometric analysis of the relative age effect in sport science. Ger J Exerc Sport Res. 2022; doi: 10.1007/s12662-021-00792-w.
3.
Tróznai Z, Utczás K, Pápai J, Négele Z, Juhász I, Szabó T, et al. Talent selection based on sport-specific tasks is affected by the relative age effects among adolescent handball players. Int J Environ Res Public Health. 2021;18(21):11418; doi: 10.3390/ijerph182111418.
4.
Brustio PR, Kearney PE, Lupo C, Ungureanu AN, Mulasso A, Rainoldi A, et al. Relative age influences performance of world-class track and field athletes even in the adulthood. Front Psychol. 2019;10:1395; doi: 10.3389/fpsyg.2019.01395.
5.
Smith KL, Weir PL, Till K, Romann M, Cobley S. Relative age effects across and within female sport contexts: a systematic review and meta-analysis. Sports Med. 2018;48(6):1451–1478; doi: 10.1007/s40279-018-0890-8.
6.
Yagüe JM, Molinero O, Alba JÁ, Redondo JC. Evidence for the relative age effect in the Spanish professional soccer league. J Hum Kinet. 2020;73(1):209–218; doi: 10.2478/hukin-2019-0145.
7.
Castro HO, Aguiar SS, Clemente FM, Lima RF, Costa GCT, Figueiredo LS, et al. Relative age effect on Brazilian male elite futsal athletes according to playing position and performance by goals scored on Brazil National Futsal Leagues. Motriz J Phys Educ. 2022;28:e10220011521; doi: 10.1590/S1980-657420210011521.
8.
Lidor R, Maayan Z, Arnon M. Relative age effect in 14- to 18-year-old athletes and their initial approach to this effect – has anything changed over the past 10 years? Front Sports Act Living. 2021;3:622120; doi: 10.3389/fspor.2021.622120.
9.
Saavedra Y, Saavedra JM. The association between relative age effect, goals scored, shooting effectiveness and the player’s position, and her team’s final classification in international level women’s youth handball. Monten J Sports Sci Med. 2020;9(1):19–25; doi: 10.26773/mjssm.200303.
10.
Loffing F, Schorer J. Handedness and relative age in international elite interactive individual sports revisited. Front Sports Act Living. 2021;3:662203; doi: 10.3389/fspor.2021.662203.
11.
Patel R, Nevill A, Cloack R, Smith T, Wyon M. Relative age, maturation, anthropometry and physical performance characteristics of players within an Elite Youth Football Academy. Int J Sports Sci Coach. 2019;14(6):714–725; doi: 10.1177/1747954119879348.
12.
Hill M, Scott S, Malina RM, McGee D, Cumming SP. Relative age and maturation selection biases in academy football. J Sports Sci. 2020;38(11–12):1359–1367; doi: 10.1080/02640414.2019.1649524.
13.
Cobley S, Baker J, Wattie N, McKenna J. Annual agegrouping and athlete development: a meta-analytical review of relative age effects in sport. Sports Med. 2009;39(3):235–256; doi: 10.2165/00007256-200939030-00005.
14.
Reed KE, Parry DA, Sandercock GRH. Maturational and social factors contributing to relative age effects in school sports: data from the London Youth Games. Scand J Med Sci Sports. 2017;27(12):2070–2079; doi: 10.1111/sms.12815.
15.
Wattie N, Schorer J, Baker J. The relative age effect in sport: a developmental systems model. Sports Med. 2015;45(1):83–94; doi: 10.1007/s40279-014-0248-9.
16.
Cobley S, Abbott S, Dogramaci S, Kable A, Salter J, Hintermann M, et al. Transient relative age effects across annual age groups in national level Australian swimming. J Sci Med Sport. 2018;21(8):839–845; doi: 10.1016/j.jsams.2017.12.008.
17.
Lovell R, Towlson C, Parkin G, Portas M, Vaeyens R, Cobley S. Soccer player characteristics in English lowerleague development programmes: the relationships between relative age, maturation, anthropometry and physical fitness. PLoS One. 2015;10(9):e0137238; doi: 10.1371/journal.pone.0137238.
18.
Secretary of Sports, Culture and Leisure of the Mato Grosso state. General regulation: Youth School Games, 2019 [in Portuguese]. Available from: http://www.mt.gov.br/web/sael/....
19.
Faul F, Erdfelder E, Lang A-G, Buchner A. G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav Res Methods. 2007;39(2):175–191; doi: 10.3758/bf03193146.
20.
Figueiredo LS, Gantois P, Lima-Junior D, Fortes LS, Fonseca FS. The relationship between relative age effects and sex, age categories and playing positions in Brazilian national handball teams. Motriz J Phys Educ. 2020;26(4):e10200045; doi: 10.1590/S1980-6574202000040045.
21.
Sharpe D. Chi-square test is statistically significant: now what? Pract Assess Res Evaluation. 2015;20:8; doi: 10.7275/tbfa-x148.
22.
Vincent J, Glamser FD. Gender differences in the relative age effect among US Olympic Development Program youth soccer players. J Sports Sci. 2006;24(4):405–413; doi: 10.1080/02640410500244655.
23.
Morales Júnior VR, Alves IVG, Galatti LR, Marques RFR. The relative age effect on Brazilian elite futsal: men and women scenarios. Motriz J Phys Educ. 2017;23(3):101704; doi: 10.1590/s1980-6574201700030016.
24.
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):147–167; doi: 10.1006/drev.2000.0516.
25.
Malina RM. Physical growth and biological maturation of young athletes. Exerc Sport Sci Rev. 1994;22(1):280–284.
26.
Toselli S, Campa F, Maietta Latessa P, Greco G, Loi A, Grigoletto A, et al. Differences in maturity and anthropometric and morphological characteristics among young male basketball and soccer players and non-players. Int J Environ Res Public Health. 2021;18(8):3902; doi: 10.3390/ijerph18083902.
27.
Krahenbühl T, Leonardo L. The relative age effect: coaches’ choices as evidence of social influence on youth handball. J Phys Educ Sport. 2020;20(5):2460–2467; doi: 10.7752/jpes.2020.05337.
28.
Lemez S, Baker J, Horton S, Wattie N, Weir P. Examining the relationship between relative age, competition level, and dropout rates in male youth ice-hockey players. Scan J Med Sci Sports. 2014;24(6):935–942; doi: 10.1111/sms.12127.
29.
Crane J, Temple V. A systematic review of dropout from organized sport among children and youth. Eur Phys Educ Rev. 2015;21(1):114–131; doi: 10.1177/1356336X14555294.
30.
Figueiredo LS, Gomes LMS, Silva DG, Gantois P, Fialho JVAP, Fortes LS, et al. The relative age effect in Brazilian elite soccer depending on age category, playing position, and competitive level. Hum Mov. 2022;23(2):112–120; doi: 10.5114/hm.2022.109070.
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