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首页> 外文期刊>Journal of strength and conditioning research >INFLUENCE OF BIOLOGICAL MATURITY ON THE MATCH PERFORMANCE OF 8-TO 16-YEAR-OLD, ELITE, MALE, YOUTH SOCCER PLAYERS
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INFLUENCE OF BIOLOGICAL MATURITY ON THE MATCH PERFORMANCE OF 8-TO 16-YEAR-OLD, ELITE, MALE, YOUTH SOCCER PLAYERS

机译：生物成熟度对8至16岁，精英，男性，青年足球运动员的比赛表现

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The aim of this study was to examine the influence of biological maturity on match performance in elite, youth, male soccer players. The participants were 80 Premier League Academy outfield players (8-16 years old). Biological maturity was determined by calculating estimated chronological age at peak height velocity. The U9 and U10 squads played 6-a-side and the U11-U16 squads played 11-a-side interacademy matches. All matches were analyzed using a 1-Hz global positioning system (SPI Elite (TM), GPSports, Canberra, Australia) with squad-specific speed zones, which were calculated based on 5-m flying sprint speed in the last 5 m of 10-m sprint test. In the U9/U10s, earlier maturers were given a longer pitch time by coaches (similar to 4 minutes per match; p = 0.029) and covered a greater total distance (similar to 9%; similar to 400 m; p = 0.037) and a greater distance by walking (similar to 13%; similar to 100 m; p = 0.024) and jogging (similar to 12%; similar to 200 m; p = 0.014) during a match compared with later maturers. In the U13/U14s, earlier maturers covered a greater distance per hour of a match by high-speed running compared with later maturers (similar to 25%; similar to 130 m; p = 0.028) and spent a longer percentage of time in high-speed running during a match compared with later maturers (3.4% vs. 2.7%, p = 0.034). Thus, coaches should take care to provide all players with a similar pitch time and should be aware in the talent identification and development process, particularly with the U13/U14 age group, because maturity can influence high-speed match running performance.
机译：本研究的目的是研究生物成熟度对精英，青年，男足球运动员匹配性能的影响。与会者分别为80名英超联赛学院外野球员（8-16岁）。生物成熟度是由在峰高速度计算，估计实际年龄决定的。的U9和U10小队出场6-A-侧和U11-U16小队出场11-A侧科学院匹配。使用一Hz全球定位系统（SPI Elite（TM），GPSPorts，堪培拉，澳大利亚分析了所有匹配，该阵容特定的速度区是根据5-M的最后5米的5米飞行冲刺速度计算-m sprint测试。在U9 / U10S中，早期的成熟者通过教练提供了更长的俯仰时间（类似于每匹配4分钟; P = 0.029）并覆盖总距离（类似于9％;类似于400米; P = 0.037）和步行距离更远（类似于13％;类似于100米; P = 0.024）和慢跑（类似于12％;类似于匹配期间的12％;类似于200米; P = 0.014）。在U13 / U14S中，早些时候的成熟商通过高速运行与后来的成熟术（类似于25％;类似于130米; P = 0.028）并花费较长的时间百分比 - 与后来的熟练司机相比，比赛中飞行（3.4％vs.2.7％，P = 0.034）。因此，教练应该注意提供所有具有相似音高的玩家，并且应该在人才识别和开发过程中了解，特别是在U13 / U14年龄组中，因为成熟可以影响高速匹配运行性能。

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