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首页> 外文期刊>Orthopaedic Journal of Sports Medicine >Anthropometrics, Physical Performance, and Injury Characteristics of Youth American Football
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Anthropometrics, Physical Performance, and Injury Characteristics of Youth American Football

机译：青年橄榄球的人体计量学，物理性能和伤害特征

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Background: Prior research has described the anthropometric and physical performance characteristics of professional, collegiate, and high school American football players. Yet, little research has described these factors in American youth football and their potential relationship with injury. Purpose: To characterize anthropometric and physical performance measures, describe the epidemiology of injury, and examine the association of physical performance measures with injury among children participating within age-based divisions of a large metropolitan American youth football league. Study Design: Case-control study; Level of evidence, 3. Methods: Demographic, anthropometric, and physical performance characteristics and injuries of 819 male children were collected over a 2-year period (2011-2012). Injury data were collected by the league athletic trainer (AT) and coaches. Descriptive analysis of demographic, anthropometric, and physical performance measures (40-yard sprint, pro-agility, push-ups, and vertical jump) were conducted. Incidence rates were computed for all reported injuries; rates were calculated as the number of injuries per 1000 athlete-exposures (AEs). Multinomial logistic regression was used to identify whether the categories of no injury, no-time-loss (NTL) injury, and time-loss (TL) injury were associated with physical performance measures. Results: Of the 819 original participants, 760 (92.8%) completed preseason anthropometric measures (mean ± SD: age, 11.8 ± 1.2 years; height, 157.4 ± 10.7 cm; weight, 48.7 ± 13.3 kg; experience, 2.0 ± 1.8 years); 640 (78.1%) players completed physical performance measures. The mean (±SD) 40-yard sprint and pro-agility measures of the players were 6.5 ± 0.6 and 5.7 ± 0.5 seconds, respectively; the number of push-ups and maximal vertical jump height were 16.5 ± 9.3 repetitions and 42.3 ± 8.4 cm, respectively. Players assigned to different teams within age divisions demonstrated no differences in anthropometric measures; 40-yard dash and pro-agility times differed significantly ( P < .05) between players assigned to different teams. A total of 261 NTL and TL injuries were reported during 35,957 AEs (games: 22%, n = 7982 AEs; practices: 78%, n = 27,975 AEs). The overall incidence rate was 7.26 per 1000 AEs (95% CI, 6.37-8.14). Physical performance measures did not predict NTL or TL injuries ( P > .05). Conclusion: No practically meaningful differences existed in anthropometric or physical performance measures between teams within age-based levels of play. Findings suggest that age-only criterion for player groupings can evenly match in terms of physical performance.
机译：背景：现有研究描述了专业，大学和高中美洲足球运动员的人体测量和物理性能特征。然而，小型研究描述了美国青年足球的这些因素及其与伤害的潜在关系。目的：为了表征人体测量和物理性能措施，描述伤害的流行病学，并在大都市大城市青年足球联盟的基于年龄为基础的小学中参与儿童伤害的身体绩效措施协会。研究设计：案例控制研究;证据水平，3.方法：在2年期间收集了819名男性儿童的人口统计，人体测量和物理性能特征和伤害（2011-2012）。联盟运动培训师（AT）和教练收集了伤害数据。对人口统计学，人体测量和物理性能措施（40码冲刺，验光，俯卧撑和垂直跳转）进行了描述性分析。所有报告的伤害都计算了发病率;利率计算为每1000台运动员 - 暴露（AES）的伤害次数。多项式逻辑回归用于识别无损伤，无损失（NTL）损伤和损伤的类别是否与实际绩效措施有关。结果：819名原始参与者，760（92.8％）完成季前赛人类测量措施（平均值±SD：年龄，11.8±1.2岁;身高，157.4±10.7厘米;体重，48.7±13.3千克;经验，2.0±1.8岁） ; 640（78.1％）玩家完成了物理性能措施。球员的平均值（±SD）40码短刺和运动测量分别为6.5±0.6和5.7±0.5秒;俯卧撑和最大垂直跳跃高度的数量分别为16.5±9.3重复，分别为42.3±8.4厘米。分配给年龄差异的不同团队的球员证明了人类测量措施没有差异; 40码划线划分和Pro-Aergility次数显着不同（P <.05）分配给不同团队的玩家之间。在35,957 AES期间报告了共有261个NTL和TL损伤（游戏：22％，N = 7982 AES;实践：78％，N = 27,975 AES）。总发病率为每1000 AES 7.26（95％CI，6.37-8.14）。物理性能措施没有预测NTL或TL损伤（P> .05）。结论：在基于年龄的比赛中，团队之间的人体测量或身体绩效措施中没有实际上有意义的差异。调查结果表明，播放器分组的年龄标准可以在物理性能方面均匀匹配。

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