Literature DB >> 24624004

Assessment of linear sprinting performance: a theoretical paradigm.

Todd D Brown1, Jason D Vescovi2, Jaci L Vanheest3.   

Abstract

The purpose of this manuscript is to describe a theoretical paradigm from which to more accurately assess linear sprinting performance. More importantly, the model describes how to interpret test results in order to pinpoint weaknesses in linear sprinting performance and design subsequent training programs. A retrospective, quasi-experimental cross sectional analysis was performed using 86 Division I female soccer and lacrosse players. Linear sprinting performance was assessed using infrared sensors at 9.14, 18.28, 27.42, and 36.58 meter distances. Cumulative (9.14, 18.28, 27.42, and 36.58 meter) and individual (1(st), 2(nd), 3(rd), and 4(th) 9.14 meter) split times were used to illustrate the theoretical paradigm. Sub-groups were identified from the sample and labelled as above average (faster), average, and below average (slower). Statistical analysis showed each sub-group was significantly different from each other (fast < average < slow). From each sub-group select individuals were identified by having a 36.58 meter time within 0.05 seconds of each other (n = 11, 13, and 7, respectively). Three phases of the sprint test were suggested to exist and called initial acceleration (0-9.14 m), middle acceleration (9.14-27.42 m), and metabolic-stiffness transition (27.42-36.58 m). A new model for assessing and interpreting linear sprinting performance was developed. Implementation of this paradigm should assist sport performance professionals identify weaknesses, minimize training errors, and maximize training adaptations. Key PointsAssessment of linear sprinting should include splits for a greater understanding of performance.Individual split times can be used to identify specific areas of weakness.Appropriate training strategies can be developed and used to improve the identified weaknesses.

Entities:  

Keywords:  Speed; lacrosse; soccer; sports performance; sprint

Year:  2004        PMID: 24624004      PMCID: PMC3938058     

Source DB:  PubMed          Journal:  J Sports Sci Med        ISSN: 1303-2968            Impact factor:   2.988


  9 in total

1.  Relationship of the stretch-shortening cycle to sprint performance in trained female athletes.

Authors:  L Hennessy; J Kilty
Journal:  J Strength Cond Res       Date:  2001-08       Impact factor: 3.775

2.  Knee and ankle joint stiffness in sprint running.

Authors:  Sami Kuitunen; Paavo V Komi; Heikki Kyröläinen
Journal:  Med Sci Sports Exerc       Date:  2002-01       Impact factor: 5.411

3.  Gender differences in active musculoskeletal stiffness. Part II. Quantification of leg stiffness during functional hopping tasks.

Authors:  K P Granata; D A Padua; S E Wilson
Journal:  J Electromyogr Kinesiol       Date:  2002-04       Impact factor: 2.368

4.  Gender differences in active musculoskeletal stiffness. Part I. Quantification in controlled measurements of knee joint dynamics.

Authors:  Kevin P Granata; Sara E Wilson; Darin A Padua
Journal:  J Electromyogr Kinesiol       Date:  2002-04       Impact factor: 2.368

5.  Changes in performance, muscle metabolites, enzymes and fibre types after short sprint training.

Authors:  B Dawson; M Fitzsimons; S Green; C Goodman; M Carey; K Cole
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1998-07

6.  Effect of the movement speed of resistance training exercises on sprint and strength performance in concurrently training elite junior sprinters.

Authors:  Anthony J Blazevich; David G Jenkins
Journal:  J Sports Sci       Date:  2002-12       Impact factor: 3.337

7.  Kinematic determinants of early acceleration in field sport athletes.

Authors:  Aron J Murphy; Robert G Lockie; Aaron J Coutts
Journal:  J Sports Sci Med       Date:  2003-12-01       Impact factor: 2.988

8.  Effects of muscle strengthening on vertical jump height: a simulation study.

Authors:  M F Bobbert; A J Van Soest
Journal:  Med Sci Sports Exerc       Date:  1994-08       Impact factor: 5.411

9.  Modeling the energetics of 100-m running by using speed curves of world champions.

Authors:  Laurent M Arsac; Elio Locatelli
Journal:  J Appl Physiol (1985)       Date:  2002-05
  9 in total
  3 in total

1.  Estimating dinosaur maximum running speeds using evolutionary robotics.

Authors:  William Irvin Sellers; Phillip Lars Manning
Journal:  Proc Biol Sci       Date:  2007-11-07       Impact factor: 5.349

2.  Enhanced sprint performance analysis in soccer: New insights from a GPS-based tracking system.

Authors:  Lars Reinhardt; René Schwesig; Andreas Lauenroth; Stephan Schulze; Eduard Kurz
Journal:  PLoS One       Date:  2019-05-31       Impact factor: 3.240

3.  The Training of Short Distance Sprint Performance in Football Code Athletes: A Systematic Review and Meta-Analysis.

Authors:  Ben Nicholson; Alex Dinsdale; Ben Jones; Kevin Till
Journal:  Sports Med       Date:  2021-06       Impact factor: 11.136

  3 in total

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