Activity profile of high-level Australian lacrosse players
Article
Article Title | Activity profile of high-level Australian lacrosse players |
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ERA Journal ID | 9783 |
Article Category | Article |
Authors | Polley, Chris S. (Author), Cormack, Stuart J. (Author), Gabbett, Tim J. (Author) and Polglaze, Ted (Author) |
Journal Title | Journal of Strength and Conditioning Research |
Journal Citation | 29 (1), pp. 126-136 |
Number of Pages | 11 |
Year | 2015 |
Publisher | Lippincott Williams & Wilkins |
Place of Publication | United States |
ISSN | 1064-8011 |
1533-4287 | |
Digital Object Identifier (DOI) | https://doi.org/10.1519/JSC.0000000000000599 |
Web Address (URL) | https://www.researchgate.net/publication/266264421_Activity_Profile_of_High-Level_Australian_Lacrosse_Players |
Abstract | Despite lacrosse being one of the fastest growing team sports in the world, there is a paucity of information detailing the activity profile of high level players. Microtechnology systems (global positioning systems (GPS) and accelerometers) provide the opportunity to obtain detailed information on the activity profile in lacrosse. Therefore, this study aimed to analyze the activity profile of lacrosse match-play using microtechnology. Activity profile variables assessed relative to minutes of playing time included relative distance (mmin), distance spent standing (0-0.1 ms), walking (0.2-1.7 ms), jogging (1.8-3.2 ms), running (3.3-5.6 ms), sprinting (≥5.7 ms), number of high, moderate, low accelerations and decelerations and player load (PLmin), calculated as the square root of the sum of the squared instantaneous rate of change in acceleration in three vectors (medio-lateral, anterior-posterior, vertical). Activity was recorded from fifteen lacrosse players over four matches during a national tournament. Players were separated into positions of attack, midfield, or defense. Differences (ES ± 90% CI) between positions and periods of play were considered likely positive when there was ≥75% likelihood of the difference exceeding an effect size threshold of 0.2. Midfielders had likely higher (mean ± SD) m·min (100 ± 11) compared to attackers (87 ± 14; ES = 0.89 ± 1.04) and defenders (79 ± 14; ES = 1.54 ± 0.94) and more moderate and high accelerations and decelerations. Almost all variables across positions were reduced in quarter four compared to quarter one. Coaches should accommodate for positional differences when preparing lacrosse players for competition. |
Keywords | analysis; global positioning systems; match-play; performance; positional differences; tournament; acceleration; athletic performance; deceleration; geographic information systems; humans; jogging; male; microtechnology; racquet sports; running; walking |
ANZSRC Field of Research 2020 | 420799. Sports science and exercise not elsewhere classified |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Australian Catholic University |
University of Western Australia | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q43qw/activity-profile-of-high-level-australian-lacrosse-players
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