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首页> 外文期刊>Sports medicine - open >Evolution of Physical Demands of Australian Football League Matches from 2005 to 2017: A Systematic?Review and Meta-Regression
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Evolution of Physical Demands of Australian Football League Matches from 2005 to 2017: A Systematic?Review and Meta-Regression

机译:2005年至2017年澳大利亚足球联赛匹配物质的演变:系统性?回顾和荟萃回归

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BackgroundThere is extensive research investigating the match demands of players in the Australian Football League (AFL).ObjectiveThis systematic literature review and meta-regression sought to analyse the evolution of in-game demands in AFL matches from 2005 to 2017, focusing on the relationship between volume and intensity.MethodsA systematic search of Ovid MEDLINE, Embase, Emcare, Scopus, SPORTDiscus, and Cochrane Library databases was conducted. Included studies examined the physical demands of AFL matches utilising global positioning system (GPS) technology. Meta-regression analysed the shift in reported volume (total distance and total match time) and intensity (metres per minute [m.min ?1 ], sprint duration and acceleration) metrics for overall changes, across quarters and positional groups (forwards, nomadics and defenders) from 2005 to 2017 inclusive and for each year between 2005 and 2007, 2007 and 2010, 2010 and 2012, and 2012 and 2015/2017 breakpoints.ResultsDistance ( p = 0.094), m.min ?1 ( p = 0.494), match time ( p = 0.591), time over 18?km·h ?1 ( p = 0.271), and number of accelerations greater than 4?km·h ?1 ( p = 0.498) and 10?km·h ?1 ( p = 0.335) in 1?s did not change from 2005 to 2017. From 2005 to 2007 volume decreased (??6.10?min of match time; p = 0.010) and intensity increased (6.8?m.min ?1 increase; p = 0.023). Volume and intensity increased from 2007 to 2010, evidenced by increases in total distance (302?m; p = 0.039), time over 18?km·h ?1 (0.31?min; p = 0.005), and number of accelerations greater than 4?km·h ?1 (41.1; p = 0.004) and 10?km·h ?1 (3.6; p = 0.005) in 1?s. From 2010 to 2012, intensity decreased, evidenced by reductions in metres per minute (??4.3; p = 0.022), time over 18?km·h ?1 (??0.93?min; p 0.001), and number of accelerations greater than 4?km·h ?1 (??104.4; p 0.001) and 10?km·h ?1 (??8.3; p 0.001) in 1?s, whilst volume stabilised with no changes in distance ( p = 0.068) and match time ( p = 0.443). From 2012 to 2015/2017 volume remained stable and intensity increased with time over 18?km·h ?1 (0.27?min; p = 0.008) and number of accelerations greater than 4?km·h ?1 (31.6; p = 0.016) in 1?s increasing.ConclusionsChanges in volume and intensity of AFL match demands are defined by discrete periods from 2007 to 2010 and 2010 to 2012. The interaction of rule and interpretation changes and coaching strategies play a major role in these evolutionary changes. In turn, modified game styles impact player game demands, training, and selection priorities. Standardisation and uniformity of GPS data reporting is recommended due to inconsistencies in the literature.
机译:Backgroundshere是广泛的研究,调查澳大利亚足球联赛(AFL)的球员的匹配需求卷和强度。目前对Ovid Medline,Embase,EMCare,Scopus,Sportdiscus和Cochrane图书馆数据库进行了系统搜索。包括的研究检测了利用全球定位系统(GPS)技术的AFL匹配的物理需求。元回归分析报告的卷(总距离和总匹配时间)和强度(每分钟米[m.min?1],冲刺持续时间和加速)度量的转变,用于整体变化,在季度和位置组(前进,游牧品) 2005年至2017年,2005年至2010年,2010年和2010年,2012年和2010年,2012年和2010年,2012年和2010年,2012年和2010年,2012年和2010年,2012年和2012年,2012年和2010年,2012年和2010年,P = 0.094),M.Min?1(P = 0.494) ,匹配时间(p = 0.591),时间超过18 km·h?1(p = 0.271),并且加速度大于4Ωmm·h?1(p = 0.498)和10?Km·H?1 (p = 0.335)在1?s中没有从2005年到2017年改变。从2005年到2007年的体积减少(?? 6.10?min匹配时间; p = 0.010)和强度增加(6.8?m.min?1增加; p = 0.023)。从2007年到2010年增加的体积和强度增加,总距离增加(302?m; p = 0.039),时间超过18 km·h?1(0.31?min; p = 0.005),并且加速度大于4?Km·H?1(41.1; p = 0.004)和10?Km·H?1(3.6; p = 0.005)1?从2010年到2012年,强度下降,减少了数米每分钟的减少(?4.3; P = 0.022),超过18 km·h?1(?? 0.93?min; p& 0.001),以及数量加速度大于4?Km·H?1(?? 104.4; p <0.001)和10μm·基姆·h?1( - ?? 8.3; p <0.001),在1℃下,没有变化没有变化距离(p = 0.068)和匹配时间(p = 0.443)。从2012到2015/2017卷仍然稳定,强度随时间增加超过18 km·h?1(0.27?min; p = 0.008)和大于4?Km·H?1的加速度数量(31.6; p = 0.016 )在1?S的增加。通过2007年至2010年和2010年的离散时间和2010年到2010年的离散时期来定义Conclutions和强度。反过来,改进的游戏风格影响播放器游戏需求,培训和选择优先事项。由于文献不一致,建议使用GPS数据报告的标准化和均匀性。

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