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

• Autorzy: Tiago Barbosa , Mário Costa , Jorge Morais , Marc Moreira , António Silva , Daniel Marinho
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

competitive swimming; evaluation; children; performance

• Czasopismo: Journal of Human Kinetics
• Rocznik: 2012
• Tom: 32
• Strony: 21-32

Daty

wydano

2012-05-01

online

2012-05-30

Twórcy

autor

Tiago Barbosa

autor

Mário Costa

autor

Jorge Morais

autor

Marc Moreira

• Research Centre in Sports, Health and Human Development, Vila Real, Portugal

autor

António Silva

autor

Daniel Marinho

Bibliografia

• 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: 379-391
• 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: 379-388[Crossref]
• 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: 262-269[WoS][Crossref]
• Cazorla G. Tests spécifiquesd'évaluation du nager. Paris: Editions Vigot, 1993
• 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: 17-23
• Costill D, Maglischo E, Richardson A. Swimming. Oxford: Blackwell Scientific Publications, 1992
• Craig A, Pendergast D. Relationships of stroke rate, distance per stroke and velocity in competitive swimming. Med Sci Sports Exerc, 1979; 11: 278-283
• Crews DE, Losh S. Structural modeling of blood pressure in Samoans. CollAntropol, 1994; 18: 101-113
• Geladas ND, Nassis GP. Pavlicevic S. Somatic and physical traits affecting sprint swimming performance in young swimmers. Int J Sports Med, 2005; 26: 139-144[PubMed][Crossref]
• Greco CC, Denadai B. Critical speed and endurance capacity in young swimmers: effects of gender and age. PediatrExercSci, 2005; 17: 353-363
• 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: 62-66[PubMed][Crossref]
• 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, 2010
• 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: 21-30[Crossref]
• Hopkins WG, Marshall SW, Batterham AM, Hanin J. Progressive statistics for studies in sports medicine and exercise science. Med Sci Sports Exerc, 2009; 41: 3-13[Crossref][PubMed][WoS]
• Hu, L, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Eq Model, 1999; 6: 1-55
• Jagomägi G, Jürimäe T. The influence of anthropometrical and flexibility parameters on the results of breaststroke swimming. AnthropolAnz, 2005; 63:213-219[PubMed]
• 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: 70-81[PubMed]
• 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: 87-92
• Kim YH, Cardinal BJ. Psychosocial correlates of Korean adolescents' physical activity behavior. J Exerc Sci Fit, 2010; 8: 97-104[Crossref][WoS]
• Kjendlie PL, Stallman. Drag characteristics of competitive swimming children and adults. J ApplBiomech, 2008; 24: 35-42
• Kolmogorov S, Duplishcheva O. Active drag, useful mechanical power output and hydrodynamic force in different swimming strokes at maximal velocity. J Biomech, 1992; 25: 311-318[Crossref][PubMed]
• 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: 297-307
• 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: 117-122[PubMed]
• Lavoie JM, Montpetit R. Applied Physiology of swimming. Sports Med, 1986; 3: 165-188[Crossref][PubMed]
• 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, 2009
• 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: 71-78
• 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, 2010b
• 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, 1994
• 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, 2003
• 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, 2010
• 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, 2006
• 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, 2006
• 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, 2006
• Rogulj N, Papic V, Cavala M. Evaluation models of some morphological characteristics for talent scouting in sport. Coll. Antropol, 2009; 33 105-110[PubMed]
• Saavedra JM, Escalante Y, Rodríguez FA. A multivariate analysis of performance in young swimmers. PediatrExercSci, 2010; 22: 135-151[PubMed]
• 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, 2008
• 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: 323-337[Crossref]
• 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: 117-125
• Stein CM, Morris NJ, Nock NL. Structural equation modeling. Methods MolBiol, 2012; 850: 495-512
• Yanai T. Buoyancy is the primary source of generating bodyroll in front-crawl swimming. J Biomech, 2004; 37: 605-612[PubMed][Crossref]
• 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: 273-280

Identyfikatory

DOI

10.2478/v10078-012-0020-x