Postural Analysis of Male Football Athletes from Different Age Levels of Training



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Submitted May 20, 2021
Published Aug 5, 2021
10.24018/ejmed.2021.3.4.885

Abstract viewed = 666 times

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Introduction: The definition of body posture involves a relative arrangement of body parts. Football is the most popular sport in the world with an injury rate of 4.47 injuries per 1000 hours of play/training per athlete. Photogrammetry is a valid and reproductive method for evaluating postural differences with quantitative and accurate results. The aim of this study is to present a postural analysis of children and young football players, using photogrammetry.

Method: The sample consisted of 263 athletes (ages between 4 and 18 years) where, through the photographic register and use of SAPO® software the main postural deviations of the children were calculated and subsequently analyzed descriptively in the IBM SPSS software.

Results: The results obtained show deviations in point A1 - alignment of the acromion (21.4% to 50% of athletes on the right (R) and 16.7% to 40.5% of athletes on the left (L); A2 - alignment of the anterosuperior iliac spine (42.9% of athletes to (R) and 14.3% to 64.9% to the left (L); A3 alignment of tibia tuberosities (27.9% to 55% of athletes (R), 27% to 48.5% of athletes (L); A4 and A5 – angle Q (R and L) (50% to 91% of athletes with tendency to knee varus); A6 – horizontal alignment of the pelvis (tendency to hyperlordosis of 28% for juveniles with an average deviation of -15.4° ± 7.7).

Conclusion: The postural analysis of the athletes allows a better knowledge about the most frequent deviations that, over time, can become painful, being important an intervention and specific planning at this level, trying to prevent future injuries.

Keywords: asymmetry, children, SAPO®, photogrammetry

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References

  1. Penha PJ, João SMA, Casarotto RA, Amino CJ, Penteado DC. Postural assessment of girls between 7 and 10 years of age. Clinics (Sao Paulo) [Internet]. 2005;60(1):9–16. Available from: https://doi.org/10.1590/S1807-59322005000100004 %0A.
     Google Scholar
  2. Żuk B, Sutkowski M, Paśko S, Grudniewski T. Posture correctness of young female soccer players. Sci Rep [Internet]. 2019;9(1):11179. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6671990/.
     Google Scholar
  3. Kendall F, McCreary E, Provance P. Músculos provas e funções. Editora Manole, editor. São Paulo; 1995.
     Google Scholar
  4. Ribeiro IQB, Santos A, Gomes CA. Análise postural em trabalhadores do serviço geral. Universidade Católica do Salvador – UCSAL; 2006.
     Google Scholar
  5. Ribeiro RN, Vilaça F, Oliveira HU de, Vieira LS, Silva AA da. Prevalência de lesões no futebol em atletas jovens: estudo comparativo entre diferentes categorias. Rev Bras Educ Física e Esporte [Internet]. 2007;21(3):189–94. Available from: https://www.revistas.usp.br/rbefe/article/download/16655/18368/19805.
     Google Scholar
  6. Wong P, Hong Y. Soccer injury in the lower extremities. Br J Sports Med [Internet]. 2005;39(8):473–82. Available from: https://pubmed.ncbi.nlm.nih.gov/16046325/.
     Google Scholar
  7. Fronza FO, Teixeira LR. Padrão Postural De Atletas Adolescentes De Futebol E a Relação De Alterações Com Lesão : Rev Barasileira Ciências da Saúde [Internet]. 2009;22(VII):96–101. Available from: https://seer.uscs.edu.br/index.php/revista_ciencias_saude/article/view/528.
     Google Scholar
  8. Belchior ACG, Arakaki JC, Bevilaqua-Grossi D, Reis FA, Carvalho PTC. Efeitos na medida do ângulo Q com a contração isométrica voluntária máxima do músculo quadricipital. Rev Bras Med do Esporte [Internet]. 2006;12(1):6–10. Available from: http://www.luzimarteixeira.com.br/wp-content/uploads/2009/08/contracao-isometrica-e-disfuncao-patelar1.pdf.
     Google Scholar
  9. Waldén M, Hägglund M, Ekstrand J. UEFA Champions League study: A prospective study of injuries in professional football during the 2001-2002 season. Br J Sports Med [Internet]. 2005;39(8):542–6. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1725291/.
     Google Scholar
  10. Moradi V, Memari A-H, ShayestehFar M, Kordi R. Low Back Pain in Athletes Is Associated with General and Sport Specific Risk Factors: A Comprehensive Review of Longitudinal Studies. Rehabil Res Pract [Internet]. 2015;2015:1–10. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4691487/.
     Google Scholar
  11. Marencakova J, Maly T, Sugimoto D, Gryc T, Zahalka F. Foot typology, body weight distribution, and postural stability of adolescent elite soccer players: A 3-year longitudinal study. PLoS One [Internet]. 2018;13(9):1–12. Available from: https://pubmed.ncbi.nlm.nih.gov/30265689/.
     Google Scholar
  12. Tunås P, Nilstad A, Myklebust G. Low back pain in female elite football and handball players compared with an active control group. Knee Surgery, Sport Traumatol Arthrosc [Internet]. 2015;23(9):2540–7. Available from: https://pubmed.ncbi.nlm.nih.gov/24839041/.
     Google Scholar
  13. Madić D, Obradović B, Golik-Perić D, Marinković D, Trajković N, Gojković Z. The isokinetic strength profile of semi-professional soccer players according to low back pain. J Back Musculoskelet Rehabil [Internet]. 2020;33(3):501–6. Available from: https://pubmed.ncbi.nlm.nih.gov/31524139/.
     Google Scholar
  14. Ayanniyi O, Mbada CE, Muolokwu CA. Prevalence and profile of back pain in Nigerian adolescents. Med Princ Pract [Internet]. 2011;20(4):368–73. Available from: https://pubmed.ncbi.nlm.nih.gov/21576999/.
     Google Scholar
  15. Korovessis P, Koureas G, Zacharatos S, Papazisis Z. Backpacks, back pain, sagittal spinal curves and trunk alignment in adolescents: A logistic and multinomial logistic analysis. Spine (Phila Pa 1976) [Internet]. 2005;30(2):247–55. Available from: https://pubmed.ncbi.nlm.nih.gov/15644765/.
     Google Scholar
  16. Kovacs FM, Gestoso M, Gil Del Real MT, López J, Mufraggi N, Méndez JI. Risk factors for non-specific low back pain in schoolchildren and their parents: A population based study. Pain [Internet]. 2003;103(3):259–68. Available from: https://pubmed.ncbi.nlm.nih.gov/12791432/.
     Google Scholar
  17. Masiero S, Carraro E, Celia A, Sarto D, Ermani M. Prevalence of nonspecific low back pain in schoolchildren aged between 13 and 15 years. Acta Paediatr Int J Paediatr [Internet]. 2008;97(2):212–6. Available from: https://pubmed.ncbi.nlm.nih.gov/18177442/.
     Google Scholar
  18. Shehab DK, Al-Jarallah KF. Nonspecific low-back pain in Kuwaiti children and adolescents: Associated factors. J Adolesc Heal [Internet]. 2005;36(1):32–5. Available from: https://pubmed.ncbi.nlm.nih.gov/15661594/.
     Google Scholar
  19. Watson KD, Papageorgiou AC, Jones GT, Taylor S, Symmons DPM, Silman AJ, et al. Low back pain in schoolchildren: Occurrence and characteristics. Pain [Internet]. 2002;97(1–2):87–92. Available from: https://pubmed.ncbi.nlm.nih.gov/12031782/.
     Google Scholar
  20. Alves ME, Marinho DA, Carneiro DN, Alves J, Forte P, Nevill AM, et al. A visual scan analysis protocol for postural assessment at school in young students. Int J Environ Res Public Health [Internet]. 2020;17(8):1–9. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7215995/.
     Google Scholar
  21. Chockalingam N, Dangerfield PH, Giakas G, Cochrane T, Dorgan JC. Computer-assisted Cobb measurement of scoliosis. Eur Spine J [Internet]. 2002;11(4):353–7. Available from: https://www.researchgate.net/publication/11194231_Computer-assisted_Cobb_measurement_of_scoliosis.
     Google Scholar
  22. Souza JA, Pasinato F, Basso D, Corrêa ECR, da Silva AMT. Biofotogrametria confiabilidade das medidas do protocolo do software para avaliação postural (SAPO). Rev Bras Cineantropometria e Desempenho Hum [Internet]. 2011;13(4):299–305. Available from: https://www.scielo.br/pdf/rbcdh/v13n4/09.pdf.
     Google Scholar
  23. Desouzart G, Gagulic S. Analysis of Postural Changes in 2nd Cycle Students of Elementary School. J Spine. 2017;06(01):0–6.
     Google Scholar
  24. Ferreira EA, Duarte M, Maldonado EP, Bersanetti AA, Marques AP. Quantitative assessment of postural alignment in young adults based on photographs of anterior, posterior, and lateral views. J Manipulative Physiol Ther [Internet]. 2011;34(6):371–80. Available from: http://dx.doi.org/10.1016/j.jmpt.2011.05.018.
     Google Scholar
  25. Grabara M. Analysis of Body Posture Between Young Football Players and their Untrained Peers. Hum Mov [Internet]. 2012 [cited 2021 May 19];13(2):120–6. Available from: https://www.researchgate.net/publication/230793110_Analysis_of_Body_Posture_Between_Young_Football_Players_and_their_Untrained_Peers.
     Google Scholar
  26. Aruin AS. The effect of asymmetry of posture on anticipatory postural adjustments. Neurosci Lett. 2006;401(1–2):150–3.
     Google Scholar
  27. Wojtys EM, Ashton-Miller JA, Huston LJ, Moga PJ. The association between athletic training time and the sagittal curvature of the immature spine. Am J Sports Med [Internet]. 2000;28(4):490–8. Available from: https://pubmed.ncbi.nlm.nih.gov/10921639/.
     Google Scholar
  28. Hamill J, Knutzen K. Bases biomecânicas do movimento humano. 1a. Barueri(SP): Manole; 1999.
     Google Scholar
  29. De Abreu A V., Pinto Barbosa JR, De Paiva Coelho FJ. Alinhamento Dos Joelhos No Plano Frontal Dos 12 Aos 17 Anos. Rev Bras Ortop [Internet]. 1996;31(1):83–8. Available from: https://www.rbo.org.br/detalhes/588/pt-BR/alinhamento-dos-joelhos-no-plano-frontal-dos-12-aos-17-anos-.
     Google Scholar
  30. Forte P, Morais JE, Barbosa TM, Reis A. Análise da magnitude das assimetrias posturais em crianças e jovens futebolistas. Rev Bras Futeb [Internet]. 2020;13(3):3–6. Available from: https://pubmed.ncbi.nlm.nih.gov/16569481/.
     Google Scholar
  31. Witvrouw E, Danneels L, Thijs Y, Cambier D, Bellemans J. Does soccer participation lead to genu varum? Knee Surgery, Sport Traumatol Arthrosc [Internet]. 2009;17(4):422–7. Available from: https://pubmed.ncbi.nlm.nih.gov/19183958/.
     Google Scholar
  32. Bass S, Delmas PD, Pearce G, Hendrich E, Tabensky A, Seeman E. The differing tempo of growth in bone size, mass, and density in girls is region-specific. J Clin Invest [Internet]. 1999;104(6):795–804. Available from: https://pubmed.ncbi.nlm.nih.gov/10491415/.
     Google Scholar
  33. Watson A. Sports injuries in footballers related to defects of posture and body mechanics. he J Sport Med Phys Fit [Internet]. 1995;35(4):289–94. Available from: https://pubmed.ncbi.nlm.nih.gov/8776077/.
     Google Scholar