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Original Investigation

Soccer coaches vs. sport science and medicine staff: who can more accurately predict the skeletal age of high-level youth soccer players?

, , &
Pages 253-262 | Accepted 06 Jul 2022, Published online: 13 Jul 2022

References

  • Altman DG, Royston P. 2006. The cost of dichotomising continuous variables. BMJ. 332(7549):1080. doi:10.1136/bmj.332.7549.1080.
  • Bergkamp TLG, Niessen ASM, den Hartigh, Frencken WGP, Ruud JR, Frencken WGP, Meijer RR. 2019. Methodological issues in soccer talent identification research. Sports Med. 49:1317–1335. doi:10.1007/s40279-019-01113-w.
  • Buchheit M. 2016. Chasing the 0.2. Int J Sports Physiol Perform. 11:417–418. doi:10.1123/ijspp.2016-0220.
  • Figueiredo AJ, Gonçalves CE, Coelho-e-Silva MJ, Malina RM. 2009a. Characteristics of youth soccer players who drop out, persist or move up. J Sports Sci. 27:883–891. doi:10.1080/02640410902946469.
  • Figueiredo AJ, Gonçalves CE, Coelho-e-Silva MJ, Malina RM. 2009b. Youth soccer players, 11–14 years: maturity, size, function, skill and goal orientation. Ann Hum Biol. 36:60–73. doi:10.1080/03014460802570584.
  • Figueiredo AJ, Coelho-e-Silva MJ, Cumming SP, Malina RM. 2010. Size and maturity mismatch in youth soccer players 11- to 14-years-old. Pediatr Exerc Sci. 22:596–612. doi:10.1123/pes.22.4.596.
  • Fransen J, Skorski S, Baxter-Jones ADG. 2021. Estimating is not measuring: the use of non-invasive estimations of somatic maturity in youth football. Sci Med Football. 5:261–262. doi:10.1080/24733938.2021.1975808.
  • Guo SS, Chumlea WC, Roche AF, Siervogel RM. 1997. Age- and maturity-related changes in body composition during adolescence into adulthood: the fels longitudinal study. Int J Obes. 21:1167–1175. doi:10.1038/sj.ijo.0800531.
  • Hill M, Scott S, Malina RM, McGee D, Cumming SP. 2019. Relative age and maturation selection biases in academy football. J Sports Sci. 38:1359–1367. Online ahead of print. doi:10.1080/02640414.2019.1649524.
  • Hill M, Scott S, McGee D, Cumming SP. 2021. Are relative age and biological ages associated with coaches’ evaluations of match performance in male academy soccer players? Int J Sports Sci Coach. 16(2):227–235. doi:10.1177/1747954120966886.
  • 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.
  • Johnson DM, Cumming SP, Bradley B, and Williams S. 2022. The influence of exposure, growth and maturation on injury risk in male academy football players. J Sports Sci 40(10):1–10.
  • Larruskain J, Lekue JA, Martin-Garetxana I, Barrio I, McCall A, Gil SM. 2021. Injuries are negatively associated with player progression in an elite football academy. Sci Med Football. 1–10. Ahead of Print. doi:10.1080/24733938.2021.1943756
  • Lolli L, Johnson A, Monaco M, Cardinale M, Di Salvo V, Gregson W. 2021. Tanner–whitehouse and modified bayley–pinneau adult height predictions in elite youth soccer players from the Middle East. Med Sci Sports Exerc. Publish Ahead of Print. doi:10.1249/MSS.0000000000002740
  • Malina RM, Peña Reyes ME, Eisenmann JC, Horta L, Rodrigues J, Miller R. 2000. Height, mass and skeletal maturity of elite Portuguese soccer players aged 11-16 years. J Sports Sci. 18:685–693. doi:10.1080/02640410050120069.
  • Malina RM, Bouchard C, Bar-Or O. 2004a. Growth, maturation, and physical activity. 2nd ed. Champaign (Ill): Human Kinetics.
  • Malina RM, Eisenmann JC, Cumming SP, Ribeiro B, Aroso J. 2004b. Maturity-associated variation in the growth and functional capacities of youth football (soccer) players 13-15 years. Eur J Appl Physiol. 91:555–562. doi:10.1007/s00421-003-0995-z.
  • Malina RM, Peña Reyes ME, Figueiredo AJ, Coelho-e-Silva MJ, Horta L, Miller R, Chamorro M, Serratosa L, Morate F. 2010. Skeletal age in youth soccer players: implication for age verification. Clin J Sport Med. 20:469–474. doi:10.1097/JSM.0b013e3181f827ea.
  • Malina RM, Rogol AD, Cumming SP, Coelho-e-Silva MJ, Figueiredo AJ. 2015. Biological maturation of youth athletes: assessment and implications. Br J Sports Med. 49:852–859. doi:10.1136/bjsports-2015-094623.
  • Malina RM, Coelho-e-Silva MJ, Figueiredo AJ, Philippaerts RM, Hirose N, Peña Reyes ME, Gilli G, Benso A, Vaeyens R, Deprez D, et al. 2018. Tanner-whitehouse skeletal ages in male youth soccer players: TW2 or TW3? Sports Med. 48:991–1008. doi:10.1007/s40279-017-0799-7.
  • Malina RM, Cumming SP, Rogol AD, Coelho-e-Silva MJ, Figueiredo AJ, Konarski JM, Kozieł SM. 2019. Bio-banding in youth sports: background, concept, and application. Sports Med. 49(11):1671–1685. doi:10.1007/s40279-019-01166-x.
  • Massard T, Fransen J, Duffield R, Wignell T, Lovell R. 2019. Comparison of sitting height protocols used for the prediction of somatic maturation. Sport Perform Sci Rep. 66:1–4.
  • Materne O, Chamari K, Farooq A, Tabben M, Weir A, Holmich P, et al. 2021a. Shedding light on incidence and burden of physeal injuries in youth elite football academy: a 4‐season prospective study. Scand J Med Sci Sports. 14059.
  • Materne O, Chamari K, Farooq A, Weir A, Hölmich P, Bahr R, Greig M, McNaughton LR. 2021b. Association of skeletal maturity and injury risk in elite youth soccer players: a 4-season prospective study with survival analysis. Orthopaedic J Sports Med. 9:2325967121999113. doi:10.1177/2325967121999113.
  • Mellers B, Stone E, Atanasov P, Rohrbaugh N, Metz SE, Ungar L, Bishop MM, Horowitz M, Merkle E, Tetlock P. 2015. The psychology of intelligence analysis: drivers of prediction accuracy in world politics. J Exp Psychol Appl. 21:1–14. doi:10.1037/xap0000040.
  • Meylan C, Cronin J, Oliver J, Hughes M. 2010. Talent identification in soccer: the role of maturity status on physical, physiological and technical characteristics. Int J Sports Sci Coach. 5:571–592. doi:10.1260/1747-9541.5.4.571.
  • Molinari L, Gasser T, Largo R. 2013. A comparison of skeletal maturity and growth. Ann Hum Biol. 40:333–340. doi:10.3109/03014460.2012.756122.
  • Monasterio X, Gil SM, Bidaurrazaga-Letona I, Lekue JA, Santisteban J, Diaz-Beitia G, Martin-Garetxana I, Bikandi E, Larruskain J. 2021. Injuries according to the percentage of adult height in an elite soccer academy. J Sci Med Sport. 24:218–223. doi:10.1016/j.jsams.2020.08.004.
  • Reilly T, Tyrrell A, Troup JDG. 1984. Orcadian Variation in Human Stature. Chronobiol Int. 1:121–126. doi:10.3109/07420528409059129.
  • Roberts AH, Greenwood DA, Stanley M, Humberstone C, Iredale F, Raynor A. 2019. Coach knowledge in talent identification: a systematic review and meta-synthesis. J Sci Med Sport. 22:1163–1172. doi:10.1016/j.jsams.2019.05.008.
  • Romann M, Javet M, Fuchslocher J. 2017. Coaches’ eye as a valid method to assess biological maturation in youth elite soccer. Talent Dev Excellence. 9:3–13.
  • Ruf L, Cumming S, Härtel S, Hecksteden A, Drust B, Meyer T. 2021. Construct validity of age at predicted adult height and BAUS skeletal age to assess biological maturity in academy soccer. Ann Hum Biol. 48:101–109. In press. doi:10.1080/03014460.2021.1913224.
  • Salter J, De Ste Croix MBA, Hughes JD, Weston M, Towlson C. 2021. Monitoring practices of training load and biological maturity in UK soccer academies. Int J Sports Physiol Perform. 16:395–406. doi:10.1123/ijspp.2019-0624.
  • Tanner JM. 1971. Sequence, tempo, and individual variation in the growth and development of boys and girls aged twelve to sixteen. Daedalus. 100:907–930.
  • Tanner JM, Whitehouse RH, Cameron N, Mashall WA, Healy MJR, Goldstein H. 1983. Assessment of skeletal maturity and prediction of adult height (TW2 method). 2nd ed. New York: Academic Press.
  • Wik EH, Martínez-Silván D, Farooq A, Cardinale M, Johnson A, Bahr R. 2020. Skeletal maturation and growth rates are related to bone and growth plate injuries in adolescent athletics. Scand J Med Sci Sports. 30:894–903. doi:10.1111/sms.13635.
  • Winter EM, Maughan RJ. 2009. Requirements for ethics approvals. J Sports Sci. 27:985. doi:10.1080/02640410903178344.
  • 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.

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