Exploring the existence, strength, and independence of relative age and maturation selection biases: a case study in Gaelic football talent development programmes

References

• Arede J, Cumming S, Johnson D, Leite N. 2021. The effects of maturity matched and un-matched opposition on physical performance and spatial exploration behavior during youth basketball matches. PLoS One. 16(4):1. doi: 10.1371/journal.pone.0249739.
   Web of Science ®Google Scholar
• Beunen G, Malina RM. 2007. Growth and biologic maturation: relevance to athletic performance. In: Hebestreit H, Bar‐Or O, editors. The young athlete. 1st ed. Oxford (UK): Wiley; p. 3–8. doi: 10.1002/9780470696255.ch1.
   Google Scholar
• Cobley S, Baker J, Wattie N, McKenna J. 2009. Annual age-grouping and athlete development: a meta-analytical review of relative age effects in sport. Sports Med. 39(3):235–256. doi: 10.2165/00007256-200939030-00005.
   PubMed Web of Science ®Google Scholar
• Cripps AJ, Hopper L, Joyce C. 2016a. Maturity, physical ability, technical skill and coaches’ perception of semi-elite adolescent Australian footballers. Pediatr Exerc Sci. 28(4):535–541. doi: 10.1123/pes.2015-0238.
   PubMed Web of Science ®Google Scholar
• Cripps AJ, Hopper LS, Joyce C. 2016b. Coaches’ perceptions of long-term potential are biased by maturational variation. Int J Sports Sci Coach. 11(4):478–481. doi: 10.1177/1747954116655054.
   Web of Science ®Google Scholar
• Cumming SP. 2018. A game plan for growth: how football is leading the way in the consideration of biological maturation in young male athletes. Ann Hum Biol. 45(5):373–375. doi: 10.1080/03014460.2018.1513560.
   PubMed Web of Science ®Google Scholar
• Cumming SP, Lloyd RS, Oliver JL, Eisenmann JC, Malina RM. 2017. Bio-banding in sport: applications to competition, talent identification, and strength and conditioning of youth athletes. Strength Cond J. 39(2):34–47. doi: 10.1519/SSC.0000000000000281.
   Web of Science ®Google Scholar
• Duggan JD, Moody J, Byrne P, McGahan JH, Kirszenstein L. 2022. Considerations and guidelines on athletic development for youth Gaelic athletic association players. Strength Cond J. 44(2):76–96. doi: 10.1519/SSC.0000000000000638.
   Web of Science ®Google Scholar
• Epstein LH, Valoski AM, Kalarchian MA, McCurley J. 1995. Do children lose and maintain weight easier than adults: a comparison of child and parent weight changes from six months to ten years. Obes Res. 3(5):411–417. doi: 10.1002/j.1550-8528.1995.tb00170.x.
   PubMedGoogle Scholar
• Fiander MF, Jones MI, Parker JK. 2013. Coaches’ perceptions of the use of chronological and biological age in the identification and development of talented athletes. Athl Insight. 5(2):181–196.
   Google Scholar
• Freeman JV, Cole TJ, Chinn S, Jones PR, White EM, Preece MA. 1995. Cross sectional stature and weight reference curves for the UK, 1990. Arch Dis Child. 73(1):17–24. doi: 10.1136/adc.73.1.17.
   PubMed Web of Science ®Google Scholar
• GAA. 2020 Mar 7. The GAA Player Pathway [GAA]. The GAA Player Pathway. https://learning.gaa.ie/playerpathway.
   Google Scholar
• Gibbs BG, Jarvis JA, Dufur MJ. 2012. The rise of the underdog? The relative age effect reversal among Canadian-born NHL hockey players: a reply to Nolan and Howell. Int Rev Sociol Sport. 47(5):644–649. doi: 10.1177/1012690211414343.
   Web of Science ®Google Scholar
• Hancock DJ, Adler AL, Côté J. 2013. A proposed theoretical model to explain relative age effects in sport. Eur J Sport Sci. 13(6):630–637. doi: 10.1080/17461391.2013.775352.
   PubMed Web of Science ®Google Scholar
• Hill M, Scott S, Malina RM, McGee D, Cumming SP. 2020. Relative age and maturation selection biases in academy football. J Sports Sci. 38(11-12):1359–1367. doi: 10.1080/02640414.2019.1649524.
   PubMed Web of Science ®Google Scholar
• Hinkle DE, Wiersma W, Jurs SG. 2002. Applied statistics for the behavioral sciences. 5th ed. London (UK): Houghton Mifflin.
   Google Scholar
• Johnson A, Doherty PJ, Freemont A. 2009. Investigation of growth, development, and factors associated with injury in elite schoolboy footballers: prospective study. BMJ. 338(feb26 1):b490. doi: 10.1136/bmj.b490.
   PubMedGoogle Scholar
• Johnson A, Farooq A, Whiteley R. 2017. Skeletal maturation status is more strongly associated with academy selection than birth quarter. Sci Med Football. 1(2):157–163. doi: 10.1080/24733938.2017.1283434.
   Google Scholar
• Johnson D, Williams S, Bradley B, Cumming S. 2022. The influence of exposure, growth and maturation on injury risk in male academy football players. J Sports Sci. 40(22):1–10. doi: 10.1080/02640414.2022.2051380.
   Google Scholar
• Kelly AL, Jackson DT, Taylor JJ, Jeffreys MA, Turnnidge J. 2020. “Birthday-banding” as a strategy to moderate the relative age effect: a case study into the England Squash talent pathway. Front Sports Act Living. 2:573890. doi: 10.3389/fspor.2020.573890.
   PubMedGoogle Scholar
• Kelly AL, Till K, Jackson D, Barrell D, Burke K, Turnnidge J. 2021. Talent identification and relative age effects in English male rugby union pathways: from entry to expertise. Front Sports Act Living. 3:640607. doi: 10.3389/fspor.2021.640607.
   PubMedGoogle Scholar
• Khamis HJ, Roche AF. 1994. Predicting adult stature without using skeletal age: the Khamis-Roche method. Pediatrics. 94(4 Pt 1):504–507.
   PubMed Web of Science ®Google Scholar
• Lüdin D, Donath L, Cobley S, Mann D, Romann M. 2022. Player-labelling as a solution to overcome maturation selection biases in youth football. J Sports Sci. 40(14):1641–1647. doi: 10.1080/02640414.2022.2099077.
   PubMed Web of Science ®Google Scholar
• Malina RM, Bouchard C, Bar-Or O. 2004. Growth, maturation, and physical activity. 2nd ed. Illinois (US): Human Kinetics.
   Google Scholar
• Mann DL, van Ginneken PJMA. 2017. Age-ordered shirt numbering reduces the selection bias associated with the relative age effect. J Sports Sci. 35(8):784–790. doi: 10.1080/02640414.2016.1189588.
   PubMed Web of Science ®Google Scholar
• McCarthy N, Collins D, Court D. 2016. Start hard, finish better: further evidence for the reversal of the RAE advantage. J Sports Sci. 34(15):1461–1465. doi: 10.1080/02640414.2015.1119297.
   PubMed Web of Science ®Google Scholar
• McGonigle P, Paradis K, Hancock D. 2023. Longitudinal relative age effects in youth soccer and youth Gaelic football in Ireland. J Hum Sport Exer. 18(3):1–13. doi: 10.14198/jhse.2023.183.05.
   Web of Science ®Google Scholar
• Monasterio X, Gil SM, Bidaurrazaga-Letona I, Lekue JA, Santisteban J, Diaz-Beitia G, Martin-Garetxana I, Bikandi E, Larruskain J. 2020. Injuries according to the percentage of adult height in an elite soccer academy. J Sci Med Sport. 24(3):218–223. doi: 10.1016/j.jsams.2020.08.004.
   PubMed Web of Science ®Google Scholar
• Norton KI. 2018. Standards for anthropometry assessment. In: Norton K, Eston R, editors. Kinanthropometry and exercise physiology. 4th ed. London (UK): Routledge; p. 68–137. doi: 10.4324/9781315385662-4.
   Google Scholar
• Owen C, Till K, Phibbs P, Read DJ, Weakley J, Atkinson M, Cross M, Kemp S, Sawczuk T, Stokes K, et al. 2023. A multidimensional approach to identifying the physical qualities of male English regional academy rugby union players; considerations of position, chronological age, relative age and maturation. Eur J Sport Sci. 23(2):178–188. doi: 10.1080/17461391.2021.2023658.
   PubMed Web of Science ®Google Scholar
• Parr J, Winwood K, Hodson-Tole E, Deconinck FJA, Hill JP, Cumming SP. 2021. Maturity-associated differences in match running performance in elite male youth soccer players. Int J Sports Physiol Perform. 17(9):1352–1360. doi: 10.1123/ijspp.2020-0950.
   PubMed Web of Science ®Google Scholar
• Parr J, Winwood K, Hodson-Tole E, Deconinck FJA, Hill JP, Teunissen JW, Cumming SP. 2020. The main and interactive effects of biological maturity and relative age on physical performance in elite youth soccer players. J Sports Med. 2020:1–11. doi: 10.1155/2020/1957636.
   Google Scholar
• Queeney JR, Kelly AL, McGourty P, Horgan P. 2022. The relative age effect in the Gaelic Athletic Association (GAA): a mixed methods approach. Sci Med Footb. 7(3):242–252. doi: 10.1080/24733938.2022.2096918.
   PubMedGoogle Scholar
• Radnor JM, Staines J, Bevan J, Cumming SP, Kelly AL, Lloyd RS, Oliver JL. 2021. Maturity has a greater association than relative age with physical performance in English male academy soccer players. Sports (Basel). 9(12):171. doi: 10.3390/sports9120171.
   PubMedGoogle Scholar
• Sport for Business. 2021 Dec 21. Teneo research confirms year of women in sport. Sport for Business. https://sportforbusiness.com/teneo-research-confirms-year-of-women-in-sport/.
   Google Scholar
• Sweeney L, Cumming SP, MacNamara Á, Horan D. 2022. A tale of two selection biases: the independent effects of relative age and biological maturity on player selection in the Football Association of Ireland’s national talent pathway. Int J Sports Sci Coach. 18(6):1992–2003. doi: 10.1177/17479541221126152.
   Web of Science ®Google Scholar
• Sweeney L, Taylor J, MacNamara Á. 2023. Push and pull factors: contextualising biological maturation and relative age in talent development systems. Children (Basel). 10(1):130. doi: 10.3390/children10010130.
   PubMed Web of Science ®Google Scholar
• Talent Development Review Committee. 2019. Talent academy and player development review committee report 2019 [A review of youth player development in Gaelic game]. https://www.gaa.ie/news-archive/news/talent-academy-and-player-development-review-committee-report-released/.
   Google Scholar
• Till K, Cobley S, O’Hara J, Cooke C, Chapman C. 2014. Considering maturation status and relative age in the longitudinal evaluation of junior rugby league players: longitudinal evaluations in junior rugby. Scand J Med Sci Sports. 24(3):569–576. doi: 10.1111/sms.12033.
   PubMed Web of Science ®Google Scholar
• Toum M, Tribolet R, Watsford ML, Fransen J. 2021. The confounding effect of biological maturity on talent identification and selection within youth Australian football. Sci Med Footb. 5(4):263–271. doi: 10.1080/24733938.2020.1822540.
   PubMed Web of Science ®Google Scholar
• Towlson C, MacMaster C, Parr J, Cumming S. 2022. One of these things is not like the other: time to differentiate between relative age and biological maturity selection biases in soccer? Sci Med Footb. 6(3):273–276. doi: 10.1080/24733938.2021.1946133.
   PubMed Web of Science ®Google Scholar
• Towlson C, Salter J, Ade JD, Enright K, Harper LD, Page RM, Malone JJ. 2021. Maturity-associated considerations for training load, injury risk, and physical performance in youth soccer: one size does not fit all. J Sport Health Sci. 10(4):403–412. doi: 10.1016/j.jshs.2020.09.003.
   PubMed Web of Science ®Google Scholar
• Tribolet R, Bennett KJM, Watsford ML, Fransen J. 2018. A multidimensional approach to talent identification and selection in high-level youth Australian Football players. J Sports Sci. 36(22):2537–2543. doi: 10.1080/02640414.2018.1468301.
   PubMed Web of Science ®Google Scholar
• Zuber C, Zibung M, Conzelmann A. 2016. Holistic patterns as an instrument for predicting the performance of promising young soccer players—a 3-years longitudinal study. Front Psychol. 7:1088. doi: 10.3389/fpsyg.2016.01088.
   PubMed Web of Science ®Google Scholar