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Journal of Human Kinetics

The Journal of Academy of Physical Education in Katowice

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How Informative are the Vertical Buoyancy and the Prone Gliding Tests to Assess Young Swimmers' Hydrostatic and Hydrodynamic Profiles?

Tiago Barbosa
  • Department of Sports Sciences, Polytechnic Institute of Bragança, Bragança, Portugal
  • Research Centre in Sports, Health and Human Development, Vila Real, Portugal
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Mário Costa
  • Department of Sports Sciences, Polytechnic Institute of Bragança, Bragança, Portugal
  • Research Centre in Sports, Health and Human Development, Vila Real, Portugal
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Jorge Morais
  • Department of Sports Sciences, Polytechnic Institute of Bragança, Bragança, Portugal
  • Research Centre in Sports, Health and Human Development, Vila Real, Portugal
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Marc Moreira / António Silva
  • Department of Sports Sciences, University of Trás-os-Montes and Alto Douro, Vila Real, Portugal
  • Research Centre in Sports, Health and Human Development, Vila Real, Portugal
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Daniel Marinho
  • Department of Sports Sciences, University of Beira Interior, Covilhã, Portugal
  • Research Centre in Sports, Health and Human Development, Vila Real, Portugal
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
Published Online: 2012-05-30 | DOI: https://doi.org/10.2478/v10078-012-0020-x

How Informative are the Vertical Buoyancy and the Prone Gliding Tests to Assess Young Swimmers' Hydrostatic and Hydrodynamic Profiles?

The aim of this research was to develop a path-flow analysis model to highlight the relationships between buoyancy and prone gliding tests and some selected anthropometrical and biomechanical variables. Thirty-eight young male swimmers (12.97 ± 1.05 years old) with several competitive levels were evaluated. It were assessed the body mass, height, fat mass, body surface area, vertical buoyancy, prone gliding after wall push-off, stroke length, stroke frequency and velocity after a maximal 25 [m] swim. The confirmatory model included the body mass, height, fat mass, prone gliding test, stroke length, stroke frequency and velocity. All theoretical paths were verified except for the vertical buoyancy test that did not present any relationship with anthropometrical and biomechanical variables nor with the prone gliding test. The good-of-fit from the confirmatory path-flow model, assessed with the standardized root mean square residuals (SRMR), is considered as being close to the cut-off value, but even so not suitable of the theory (SRMR = 0.11). As a conclusion, vertical buoyancy and prone gliding tests are not the best techniques to assess the swimmer's hydrostatic and hydrodynamic profile, respectively.

Keywords: competitive swimming; evaluation; children; performance

  • Barbosa TM, Costa MJ, Coelho J, Moreira M, Silva AJ. Modeling the links between young swimmer's performance: energetic and biomechanics profile. Pediatr Exerc Sci, 2010a; 22: 379-391Google Scholar

  • Barbosa TM, Costa MJ, Marques MC, Silva AJ, Marinho DA. A model for active drag force exogenous variables in young swimmers. J Hum Sports Exerc, 2010b; 5: 379-388CrossrefGoogle Scholar

  • Barbosa TM, Bragada JA, Reis VM, Marinho DA, Carvalho C, Silva AJ. Energetics and biomechanics as determining factors of swimming performance: updating the state of the art. J Sci Med Sports, 2010c; 13: 262-269Web of ScienceCrossrefGoogle Scholar

  • Cazorla G. Tests spécifiquesd'évaluation du nager. Paris: Editions Vigot, 1993Google Scholar

  • Costa AM, Silva AJ, Louro H, Reis VM, Garrido ND, Marques MC, Marinho DA. Can the curriculum be used to estimate critical velocity in young competitive swimmers? J Sports Sci Med, 2009; 8: 17-23Google Scholar

  • Costill D, Maglischo E, Richardson A. Swimming. Oxford: Blackwell Scientific Publications, 1992Google Scholar

  • Craig A, Pendergast D. Relationships of stroke rate, distance per stroke and velocity in competitive swimming. Med Sci Sports Exerc, 1979; 11: 278-283Google Scholar

  • Crews DE, Losh S. Structural modeling of blood pressure in Samoans. CollAntropol, 1994; 18: 101-113Google Scholar

  • Geladas ND, Nassis GP. Pavlicevic S. Somatic and physical traits affecting sprint swimming performance in young swimmers. Int J Sports Med, 2005; 26: 139-144PubMedCrossrefGoogle Scholar

  • Greco CC, Denadai B. Critical speed and endurance capacity in young swimmers: effects of gender and age. PediatrExercSci, 2005; 17: 353-363Google Scholar

  • Haycock GB, Schwartz GJ, Wisotsky DH. Geometric method for measuring body surface area: a height-weight formula validated in infants, children, and adults. J Pediatr, 1978; 93: 62-66PubMedCrossrefGoogle Scholar

  • Hohmann A, Seidel I. Talent prognosis in young swimmers. In: Biomechanics and Medicine in Swimming XI. Eds: Kjendlie, PL, Stallman, RK and Cabri J. Oslo: Norwegian School of Sport Sciences, pp. 262.-264, 2010Google Scholar

  • Hollander AP, de Groot G, van IngenSchenau G, Toussaint H, de Best H, Peeters W, Meulemans A, Schreurs A. Measurement of active drag during crawl stroke swimming. J Sports Sci, 1986; 4: 21-30CrossrefGoogle Scholar

  • Hopkins WG, Marshall SW, Batterham AM, Hanin J. Progressive statistics for studies in sports medicine and exercise science. Med Sci Sports Exerc, 2009; 41: 3-13CrossrefPubMedWeb of ScienceGoogle Scholar

  • Hu, L, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Eq Model, 1999; 6: 1-55Google Scholar

  • Jagomägi G, Jürimäe T. The influence of anthropometrical and flexibility parameters on the results of breaststroke swimming. AnthropolAnz, 2005; 63:213-219PubMedGoogle Scholar

  • Jürimäe J, Haljaste K, Cichella A, Lätt E, Purge P, Leppik A, Jürimäe T. Analysis of swimming performance from physical, physiological and biomechanical parameters in young swimmers. PediatrExercSci, 2007; 19: 70-81PubMedGoogle Scholar

  • Keskinen KL, Till LJ, Komi PV. Maximum velocity swimming: interrelationship of stroke characteristics, force production and anthropometric variables. Scan J Med Sci Sports, 1989; 11: 87-92Google Scholar

  • Kim YH, Cardinal BJ. Psychosocial correlates of Korean adolescents' physical activity behavior. J Exerc Sci Fit, 2010; 8: 97-104CrossrefWeb of ScienceGoogle Scholar

  • Kjendlie PL, Stallman. Drag characteristics of competitive swimming children and adults. J ApplBiomech, 2008; 24: 35-42Google Scholar

  • Kolmogorov S, Duplishcheva O. Active drag, useful mechanical power output and hydrodynamic force in different swimming strokes at maximal velocity. J Biomech, 1992; 25: 311-318CrossrefPubMedGoogle Scholar

  • Lätt E, Jürimäe J, Haljaste K, Cicchella, Jürimäe T. Longitudinal development of physical and performance parameters during biological maturation of young male swimmers'. Percept Motor Skills, 2009a; 108: 297-307Google Scholar

  • Lätt E, Jürimäe J, Haljaste K, Cicchella A, Purge P, Jürimäe T. Physical Development and Swimming Performance During Biological Maturation in Young Female Swimmers. Coll. Antropol, 2009b; 33: 117-122PubMedGoogle Scholar

  • Lavoie JM, Montpetit R. Applied Physiology of swimming. Sports Med, 1986; 3: 165-188CrossrefPubMedGoogle Scholar

  • Marinho DA, Barbosa TM, Klendlie P-L, Vilas-Boas JP, Alves FB, Rouboa AI, Silva AJ. Swimming Simulation. In: Computational Fluid Dynamics for sport simulation. Ed: Peter M. Heidelberg: Springer-Verlag, pp. 33-61, 2009Google Scholar

  • Marinho DA, Garrido N, Barbosa TM, Reis VM, Silva AJ, Costa AM, Marques MC. Can 8 weeks of training in female swimmers affect active drag? J Sports Sci Med, 2010a; 9: 71-78Google Scholar

  • Marinho DA, Barbosa TM, Mantripragada N, Vilas-Boas JP, Rouard AI, Msantha VR, Rouboa AI, Silva AJ. The gliding phase in swimming: the effect of water depth. In: Biomechanics and Medicine in Swimming XI. Eds: Kjendlie, PL, Stallman, RK and Cabri J. Oslo: Norwegian School of Sport Sciences, pp. 122-124, 2010bGoogle Scholar

  • Mazza J, Ackland TR, Bach T, Cosolito P. Absolute body size. In: Kineanthropometry in Aquatic Sports. Eds: Carter, L and Ackland TR. Champaign, Illinois: Human Kinetics pp. 15-54, 1994Google Scholar

  • Miriam R, Dietmar S. The influence of stretch-shortening-cycle (SSC) on turning performance in competition swimmers. In: Proceedings of the 8th Annual Congress of the European College of Sport Science. Eds: Muller, E, Schwmeder, H, Zallinger, G and Fastenbauer, V. Salzburg: Institute of Sport Science, University of Salzburg, 2003Google Scholar

  • Pease DL, Vennell R. The effect of angle of attack and depth on passive drag. In: Biomechanics and Medicine in Swimming XI. Eds: Kjendlie, PL, Stallman, RK and Cabri J. Oslo: Norwegian School of Sport Sciences, pp. 145-147, 2010Google Scholar

  • Pendergast DR, Capelli C, Craig AB, di Prampero PE, Minetti AE, Mollendorf J, Termin II, Zamparo P. Biophysics in swimming. In: Biomechanics and Medicine in Swimming X. Eds: Vilas-Boas, JP, Alves, F and Marques A. Porto: Portuguese Journal of Sport Science, pp. 185-189, 2006Google Scholar

  • Pereira S, Araújo L, Freitas E, Gatti R, Silveira G, Roesler H. Biomechanical analysis of the turn in front crawl swimming. In: Biomechanics and Medicine in Swimming X. Eds: Vilas-Boas, JP, Alves, F and Marques A. Porto: Portuguese Journal of Sport Science, pp. 77-78, 2006Google Scholar

  • Rama L, Santos J, Gomes P and Alves F. Determinant factors related to performance in young swimmers. In: Biomechanics and Medicine in Swimming X. Eds: Vilas-Boas, JP, Alves, F and Marques, A. Porto: Portuguese Journal of Sport Science, pp. 246-249, 2006Google Scholar

  • Rogulj N, Papic V, Cavala M. Evaluation models of some morphological characteristics for talent scouting in sport. Coll. Antropol, 2009; 33 105-110PubMedGoogle Scholar

  • Saavedra JM, Escalante Y, Rodríguez FA. A multivariate analysis of performance in young swimmers. PediatrExercSci, 2010; 22: 135-151PubMedGoogle Scholar

  • Schidt A, Ungerechts BE. The effect of cognitive intervention on stroke distance in age-group swimmers. In: The Book of Proceedings of the 1st International Scientific Conference of Aquatic Space Activities. Eds: Nomura, T and Ungerechts, BE. Tsubuka: University of Tskuba, pp. 380-387, 2008Google Scholar

  • Schreiber JB, Nora A, Stage FK, Barlow EA, King Jamie. Reporting structural equation modeling and confirmatory factor analysis results: a review. J Educ Res, 2006; 99: 323-337CrossrefGoogle Scholar

  • Silva AJ, Costa AM, Oliveira PM, Reis VM, Saavedra J, Perl J, Rouboa A, Marinho DA. The use of neural network technology to model swimming performance. J Sports Sci Med, 2007; 6: 117-125Google Scholar

  • Stein CM, Morris NJ, Nock NL. Structural equation modeling. Methods MolBiol, 2012; 850: 495-512Google Scholar

  • Yanai T. Buoyancy is the primary source of generating bodyroll in front-crawl swimming. J Biomech, 2004; 37: 605-612PubMedCrossrefGoogle Scholar

  • Zamparo P, Antonutto G, Capelli C, Francescato M, Girardis M, Sangoi R, Soule R, Pendergast D. Effects of body density, gender and growth on underwater torque. Scan J Med Sci Sports, 1996; 6: 273-280Google Scholar

About the article


Published Online: 2012-05-30

Published in Print: 2012-05-01


Citation Information: Journal of Human Kinetics, ISSN (Online) 1899-7562, ISSN (Print) 1640-5544, DOI: https://doi.org/10.2478/v10078-012-0020-x.

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