Literature DB >> 24944853

A speed distance-based classification system for injury prevention and research in international and domestic youth baseball players.

Michael J Axe, Michael Strube1, David Osinski2, James R Andrews, Lynn Snyder-Mackler3.   

Abstract

BACKGROUND: An objective classification system for studying youth baseball players in the U.S.A. was published in 1996. Professional baseball is composed of greater than 25% international players a majority of whom come from five countries. Many youth baseball players are injured in early years play, both in the U.S.A. and internationally. There is no international classification system to study youth baseball pitching injuries, biomechanics, or maturation, but one is needed in order to compare and combine pitchers in multi-center studies. Uniform domestic and international pre-injury normative data is optimum. Ideally, data collection should be practical requiring inexpensive equipment and limited time demands. HYPOTHESIS: The mathematical model, developed in 1996 on 853 boys and validated on 114 boys in the Mid-Atlantic Region, U.S.A., is internationally applicable, allowing easy classification of youth baseball pitchers and levels throughout the world.
METHODS: Seven-hundred-twenty-one international pitchers, ages 8-14, threw five full-speed pitches recorded with a calibrated radar gun and four maximum distance throws on a marked field. Demographics included age, height, weight, and years pitched. Collection sites included foreign national baseball clubs (Dominican Republic, Venezuela, Puerto Rico, Japan and the Philippines), the Mexican national youth tournament, and a multinational tournament (Brazil, Peru and Colombia). The mathematical model developed in 1996 was used to generate predicted distances for this sample for comparison with actual distances. In addition to the overall analysis, adequate sample sizes were available for comparing predicted and actual distances by country for four of the countries.
RESULTS: The correlation between predicted distance using the mathematical model and actual distance was 0.90. The mean of the international players was 1-2 standard deviations above the USA mean for speed and one standard deviation above the mean for distance. There was no systematic over or under prediction indicating that both relative and absolute fit for the model was excellent.
CONCLUSIONS: The mathematical model developed in 1996 on U.S.A. baseball players is robustly generalizable to international youth baseball pitchers. CLINICAL RELEVANCE: Pre-injury distance/speed data allows for classification of youth baseball player of multiple levels between the ages of 8-14. International and regional comparisons are now possible for multi-center studies in order to better define risk factors, compare studies, and combine data based upon pre-injury maximum long toss data. Data collection requires only a field, a few balls, and a tape measure.

Entities:  

Year:  2014        PMID: 24944853      PMCID: PMC4060312     

Source DB:  PubMed          Journal:  Int J Sports Phys Ther        ISSN: 2159-2896


  24 in total

1.  Using sonography for the early detection of elbow injuries among young baseball players.

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Journal:  AJR Am J Roentgenol       Date:  2006-12       Impact factor: 3.959

2.  A biomechanical analysis of youth pitching mechanics.

Authors:  David W Keeley; Thomas Hackett; Mike Keirns; Michelle B Sabick; Michael R Torry
Journal:  J Pediatr Orthop       Date:  2008-06       Impact factor: 2.324

3.  Little Leaguer's shoulder. A report of 23 cases.

Authors:  W G Carson; S I Gasser
Journal:  Am J Sports Med       Date:  1998 Jul-Aug       Impact factor: 6.202

4.  Early detection of osteochondritis dissecans of the capitellum in young baseball players. Report of three cases.

Authors:  M Takahara; M Shundo; M Kondo; K Suzuki; T Nambu; T Ogino
Journal:  J Bone Joint Surg Am       Date:  1998-06       Impact factor: 5.284

5.  Risk factors for elbow injuries among young baseball players.

Authors:  Mikio Harada; Masatoshi Takahara; Nariyuki Mura; Junya Sasaki; Tomokazu Ito; Toshihiko Ogino
Journal:  J Shoulder Elbow Surg       Date:  2010-03-01       Impact factor: 3.019

6.  Development of a distance-based interval throwing program for Little League-aged athletes.

Authors:  M J Axe; L Snyder-Mackler; J G Konin; M J Strube
Journal:  Am J Sports Med       Date:  1996 Sep-Oct       Impact factor: 6.202

7.  Expert-novice differences in cognitive and skill execution components of youth baseball performance.

Authors:  K E French; J H Spurgeon; M E Nevett
Journal:  Res Q Exerc Sport       Date:  1995-09       Impact factor: 2.500

Review 8.  Prevention of arm injury in youth baseball pitchers.

Authors:  Edmund Kenneth Kerut; Denise Goodfellow Kerut; Glenn S Fleisig; James R Andrews
Journal:  J La State Med Soc       Date:  2008 Mar-Apr

9.  Anterior shoulder forces in professional and Little League pitchers.

Authors:  Arun J Ramappa; Po-Hao Chen; Richard J Hawkins; Tom Noonan; Tom Hackett; Michelle B Sabick; Michael J Decker; David Keeley; Michael R Torry
Journal:  J Pediatr Orthop       Date:  2010 Jan-Feb       Impact factor: 2.324

10.  Prevention of overuse injuries in young baseball pitchers.

Authors:  Eric D Parks; Tracy R Ray
Journal:  Sports Health       Date:  2009-11       Impact factor: 3.843

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Journal:  Cureus       Date:  2021-04-28

2.  Exceeding Pitch Count Recommendations in Little League Baseball Increases the Chance of Requiring Tommy John Surgery as a Professional Baseball Pitcher.

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Authors:  Brandon J Erickson; Peter N Chalmers; John Zajac; Terrance Sgroi; Jonathan James Eno; David W Altchek; Joshua S Dines; Struan H Coleman
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4.  Persistent joint pain and arm function in former baseball players.

Authors:  Garrett S Bullock; Kristen F Nicholson; Brian R Waterman; Eric Niesen; Paul Salamh; Charles A Thigpen; Ellen Shanley; Laurie L Devaney; John M Tokish; Gary S Collins; Nigel K Arden; Stephanie R Filbay
Journal:  JSES Int       Date:  2021-06-29

5.  Professional Baseball Player Type and Geographic Region of Origin Impacts Shoulder External and Internal Rotation Strength.

Authors:  Lori A Michener; Adam J Barrack; Bernard Y Liebeskind; Ryan J Zerega; Jonathan C Sum; Ryan L Crotin; Hillary A Plummer
Journal:  Int J Sports Phys Ther       Date:  2021-08-01
  5 in total

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