Literature DB >> 23234296

How gender and task difficulty affect a sport-protective response in young adults.

David B Lipps1, James T Eckner, James K Richardson, James A Ashton-Miller.   

Abstract

We tested the hypotheses that gender and task difficulty affect the reaction, movement, and total response times associated with performing a head protective response. Twenty-four healthy young adults (13 females) performed a protective response by raising their hands from waist level to block a foam ball fired at their head from an air cannon. Participants initially stood 8.25 m away from the cannon ('low difficulty'), and were moved successively closer in 60 cm increments until they failed to block at least five of eight balls ('high difficulty'). Limb motion was quantified using optoelectronic markers on the participants' left wrist. Males had significantly faster total response times (P = 0.042), a trend towards faster movement times (P = 0.054), and faster peak wrist velocity (P < 0.001) and acceleration (P = 0.032) than females. Reaction time, movement time, and total response time were significantly faster under high difficulty conditions for both genders (P < 0.001). This study suggests that baseball and softball pitchers and fielders should have sufficient time to protect their head from a batted ball under optimal conditions if they are adequately prepared for the task.

Entities:  

Mesh:

Year:  2012        PMID: 23234296      PMCID: PMC3608833          DOI: 10.1080/02640414.2012.746726

Source DB:  PubMed          Journal:  J Sports Sci        ISSN: 0264-0414            Impact factor:   3.337


  19 in total

1.  Kinematic comparisons of 1996 Olympic baseball pitchers.

Authors:  R F Escamilla; G S Fleisig; N Zheng; S W Barrentine; J R Andrews
Journal:  J Sports Sci       Date:  2001-09       Impact factor: 3.337

2.  Batting performance of wood and metal baseball bats.

Authors:  Joseph J Crisco; Richard M Greenwald; Jeffrey D Blume; Lorraine H Penna
Journal:  Med Sci Sports Exerc       Date:  2002-10       Impact factor: 5.411

3.  Sport-specific decision-making in a Go/NoGo reaction task: difference among nonathletes and baseball and basketball players.

Authors:  Hiroki Nakamoto; Shiro Mori
Journal:  Percept Mot Skills       Date:  2008-02

4.  Can a clinical test of reaction time predict a functional head-protective response?

Authors:  James T Eckner; David B Lipps; Hogene Kim; James K Richardson; James A Ashton-Miller
Journal:  Med Sci Sports Exerc       Date:  2011-03       Impact factor: 5.411

5.  How quickly can healthy adults move their hands to intercept an approaching object? Age and gender effects.

Authors:  K M DeGoede; J A Ashton-Miller; J M Liao; N B Alexander
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2001-09       Impact factor: 6.053

6.  Descriptive epidemiology of collegiate women's softball injuries: National Collegiate Athletic Association Injury Surveillance System, 1988-1989 through 2003-2004.

Authors:  Stephen W Marshall; Karrie L Hamstra-Wright; Randall Dick; Katie A Grove; Julie Agel
Journal:  J Athl Train       Date:  2007 Apr-Jun       Impact factor: 2.860

7.  Catastrophic injuries in high school and college baseball players.

Authors:  Barry P Boden; Robin Tacchetti; Fred O Mueller
Journal:  Am J Sports Med       Date:  2004-05-18       Impact factor: 6.202

8.  Inhibitory processes relate differently to balance/reaction time dual tasks in young and older adults.

Authors:  David N Mendelson; Mark S Redfern; Robert D Nebes; J Richard Jennings
Journal:  Neuropsychol Dev Cogn B Aging Neuropsychol Cogn       Date:  2009-06-12

9.  Influence of ball velocity, attention, and age on response time for a simulated catch.

Authors:  Tammy M Owings; Sarah L Lancianese; Elissa M Lampe; Mark D Grabiner
Journal:  Med Sci Sports Exerc       Date:  2003-08       Impact factor: 5.411

Review 10.  Impact injuries in baseball : prevalence, aetiology and the role of equipment performance.

Authors:  Rochelle L Nicholls; Bruce C Elliott; Karol Miller
Journal:  Sports Med       Date:  2004       Impact factor: 11.928

View more
  1 in total

1.  Factors influencing ball-player impact probability in youth baseball.

Authors:  Philip A Matta; Joseph B Myers; Gregory S Sawicki
Journal:  Sports Health       Date:  2015-03       Impact factor: 3.843

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.