La selección de atletas élite desde edad tempranareflexión desde la perspectiva de los sistemas complejos

  1. García Manso, Juan Manuel 1
  2. Valverde Esteve, Teresa 2
  3. de la Paz Arencibia, Lázaro 3
  4. Martínez Patiño, María José 4
  1. 1 Departamento de Educación de Educación Física y Deportiva, Universidad de Las Palmas de Gran Canaria (España)
  2. 2 Universidad de Valencia (España)
  3. 3 UCCFD Manuel Fajardo, Cuba
  4. 4 Universidad de Vigo (España)
Revista:
PODIUM: Revista de Ciencia y Tecnología en la Cultura Física

ISSN: 1996-2452

Ano de publicación: 2022

Volume: 17

Número: 3

Páxinas: 1225-1242

Tipo: Artigo

Outras publicacións en: PODIUM: Revista de Ciencia y Tecnología en la Cultura Física

Resumo

Introdução: Neste estudo, examinou-se a adequação da seleção de atletas de elite desde tenra idade.Objetivo: O objetivo deste estudo foi verificar se o comportamento identificado em pesquisas anteriores também ocorre entre os melhores atletas do mundo de todos os tempos que competem na prova de 100 metros.Materiais e métodos: Para isso, e com base na análise das classificações oficiais de todos os tempos para homens e mulheres da Associação Internacional de Federações de Atletismo na prova supracitada, foram utilizadas amostras em categoria absoluta (Top-1.000 até 31/12 /2018) e sub-20 (Top-100 até 31/12/2003); Leis de potência e outras estratégias típicas de sistemas complexos foram aplicadas para analisar os dados.Resultados: Os resultados mostram como, muitas vezes, os melhores corredores masculinos e femininos do mundo na categoria sub-20 não evoluem positivamente durante o resto de sua carreira esportiva, melhorando seus registros nas categorias superiores. Apenas 51 homens dos 100 melhores corredores sub-20 de todos os tempos conseguiram melhorar seus tempos quando chegaram à categoria sênior, e as melhorias nem sempre mostraram progressões estatisticamente significativas. Consequentemente, um investimento excessivo em recursos humanos e materiais para identificar indivíduos com altas habilidades atléticas nem sempre é a melhor estratégia.Conclusões: o esporte de nível em idade precoce pode ser um erro metodológico que deve ser evitado na construção das reservas esportivas de um país ou federação esportiva.

Referencias bibliográficas

  • Arroyo-Valeencia JF, Rodríguez-Fernández C, Castaño A, and Martínez-Patiño MJ. (2021) Performance and ranking position evolution during 20 competitive seasons in elite 100 meter sprinters. J. Hum. Sport Exerc, 16 (1): 166-173. -ranking-position-evolution-20-competitive-seasons-elite-100-meter-sprinters
  • Bak P, Tang C, and Wiesenfeld K. (1988) Self-organized criticality. Physical Rev. A, 38(1): 364-374.
  • Baker J, Schorer J, and Cobley S. (2010) Relative age effects. Sportwissenschaft 40(1): 26-30.
  • Balague N, Torrents C, Hristovski R, Davids K, and Araújo D. (2013) Overview of complex systems in sport. J. of Systems Science and Complexity, 26(1): 4-13.
  • Berthelot G, Sedeaud A, Marck A, Antero-Jacquemin J, Schipman J, Sauliere G, and Toussaint, J. F. (2015) Has athletic performance reached its peak? Sports Med., 45(9): 1263-1271.
  • Brito N, Fonseca A, ¿and Rolim R. (2004) Os melhores atletas nos escalões de formação serão igualmente os melhores atletas no escalão sénior? Análise centrada nos rankings femininos das diferentes disciplinas do Atletismo ao longo das últimas duas décadas em Portugal. Revista Portuguesa de Ciências do Desporto, 4(1), 17-28.
  • Brophy J, and Good T. (1973) Innate talents: Reality or myth? Behavioral and Brain Sciences, 21: 399-442. /innate-talents-reality-or-myth/F266E85CB7A33D86C6C2B33508EA581B
  • Cobley S, Baker J, Wattie N, and McKenna J. (2009) Annual age-grouping and athlete development. Sports med., 39(3): 235-256.
  • Chow GC. (1960) Tests of Equality between Sets of Coefficients in Two Linear Regressions. Econometrica 28: 591-605.
  • Cohen, J. (1088) Statistical Power Analysis for the Behavioral SciencesSecond Edition. 12 Lawrence Erlbaum Associates Inc. Hillsdale, New Jersey, 13.
  • De Saá Guerra Y, Martín Gonzalez JM, Montesdeoca SS, Rodriguez Ruiz D, Arjonilla López N, and García Manso JM. (2013) Basketball scoring in NBA games: An example of complexity. J. of Systems Science and Complexity 26(1): 94-103.
  • Denny M. (2008) Limits to running speed in dogs, horses and humans. J Exp. Biol., 211(24): 3836-3849. -in-dogs-horses-and-humans
  • Dunford M, Aoyama Y, Campolina Diniz C, Kundu A, Limonov L, Lin G, and Turok I. (2016) Area development and policy: An agenda for the 21st century. Area Development and Policy. 1(1): 1-14.
  • Eliazar I. (2017) Black swans and dragon kings: A unified model. EPL (Europhysics Letters), 2017, 119(6), 60007. DOI: 10.1209/0295-5075/119/60007 /10.1209/0295-5075/119/60007
  • Enoksen E. (2011) Drop-out rate and drop-out reasons among promising Norwegian track and field athletes: A 25-year study. Scand. sport studies forum, 2, 19-43.
  • Fister I, Fister D, Deb S, Mlakar U, and Brest J. (2020) Post hoc analysis of sport performance with differential evolution. Neural. Comput. Appl. Volume 32(15): 10799-10808.
  • Frontiera J. (2010) Leadership and organizational culture transformation in professional sport. J. Leadersh. Organ. Stud., 17(1): 71-86.
  • Gagné F. (2004) Transforming gifts into talents: The DMGT as a developmental theory. High ability studies, 15(2): 119-147.
  • García-Manso JM, Martín-González JM, Vaamonde D, and Da Silva-Grigoletto M E. (2012) The limitations of scaling laws in the prediction of performance in endurance events. Journal of Theor. Biol., 300: 324-329.
  • García-Manso JM, Martín-González JM, Da Silva-Grigoletto ME, Vaamonde D, Benito P, and Calderón J. (2008) Male powerlifting performance described from the viewpoint of complex systems. J. of Theo. Biol., 251(3): 498-508.
  • Guillaume M, Len S, Tafflet M, Quinquis L, Montalvan B, Schaal K, and Toussaint JF. (2011) Success and decline: Top 10 tennis players follow a biphasic course. Medicine and Science in Sports and Exercise,: 43(11): 2148-2154.
  • Güllich A, Macnamara BN, and Hambrick DZ. What makes a champion? (2021) Early multidisciplinary practice, not early specialization, predicts world-class performance. Perspect. Psychol. .
  • Hutchins B. (2011) The acceleration of media sport culture: Twitter, telepresence and online messaging. Information, communication & society, 14(2): 237-257.
  • Jeon G and Park J. (2021) Characterizing patterns of scoring and ties in competitive sports. Physica A: Statistical Mechanics and its Applications, 565, .
  • Johnston K and Baker J. (2020) Waste reduction strategies: factors affecting talent wastage and the efficacy of talent selection in sport. Front. Psychol, 10, 2925. .
  • Kaleth AS and Mikesky AE (2010) Impact of early sport specialization: A physiological perspective. J. of Physical Education, Recreation & Dance, 81(8): 29- 37.
  • Lotka AJ. (1925) Elements of Physical Biology. Williams and Wilkins, Baltimore.
  • Malina RM. (2010) Early sport specialization: roots, effectiveness, risks. Current Sports Med. Rep., 9(6): 364-371.
  • Malina RM. (2009) Children and adolescents in the sport culture: the overwhelming majority to the select few. J. of exer. Sci. & fitness, 7(2): S1-S10.
  • Marck A, Antero J, Berthelot G, Saulière G, Jancovici JM, Masson-Delmotte V, Boeuf G, Spedding M, Le Bourg E, and Toussaint JF. (2017) Are we reaching the limits of homo sapiens? Front. Psychol, 8, 812.
  • Mendes RS, Malacarne LC, and Anteneodo C. (2007) Statistics of football dynamics. IEEE Transactions on Automatic Control, 363 (3): 357-363.
  • Moesch K. (2012) Reasons for career termination in Danish elite athletes: Investigating gender differences and the time-point as potential correlates. Sport Science Rev., 2012, (5-6): 49-68. -point_as_Potential_Correlates
  • Nevill AM, and Whyte G. (2005) Are there limits to running world records? Med. Sci. Sports Exerc. 37(10): 1785-1788.
  • Sáenz-López P, Feu-Molina S, and Ibañez S. (2006) Estudio de la participación de los jugadores españoles de baloncesto en las distintas categorías de la selección nacional. Apunts Educación Física y Deportes, (85): 36-45.
  • Sornette D. (2009) Dragon-kings, black swans and the prediction of crises. International J. Terraspace Science and Engineering, 1-18.
  • Taleb NN. (2007) The black swan: The impact of the highly improbable. Random: New York, NY, USA.
  • Till K and Baker J. (2020). Challenges and [possible] solutions to optimizing talent identification and development in sport. Front. Psychol., Volume: 11, .
  • Unierzyski P, and Crespo M. (2007) Review of modern teaching methods for tennis. RICYDE. Revista Internacional de Ciencias del Deporte,3(7): 1-10.
  • Wolstencroft E. (2002) Talent identification and development: An academic review. Edinburgh SportScotland. The University of Edinburgh.