School of Behavioural and Health Sciences, Australian Catholic University, Sydney, NSW, Australia.
Institute for Resilient Regions, University of Southern Queensland, Ipswich, Australia.
Scand J Med Sci Sports. 2019 Mar;29(3):469-475. doi: 10.1111/sms.13343. Epub 2018 Dec 9.
Training and competition loads have emerged as valuable injury risk factors but very few studies have explored injury outcomes in adolescent athletes. The aims of this study were to describe injuries and to explore the relationship between training and match load volumes and injury in adolescent athletes participating in multiple contact team sports. One hundred and three male youth rugby athletes aged 14-16 years from 8 rugby union teams were prospectively monitored during a season for weekly training and match volumes and injuries. The relationship between volume and injury was explored by comparing the weekly volume in the week prior to an injury vs weeks without injury. There were 83 time-loss injuries in 58 athletes (62%). Overall injury incidence was 18.5 per 1000 player-hours. Mean weekly injury prevalence was 27% (95% CI 25-30). Average weekly volume was 5.4 (2.2) hours comprising 1.4 (1) match hours and 4 (2.6) training hours. Compared with weeks without injury, weeks prior to an injury had higher match volumes (110 [57] min vs 83 [59] min, P < 0.001). Poisson regression demonstrated that match volume was a predictor of injury with an odds ratio of 1.41 (P = 0.001). The contribution of match volumes to injury risk and the relatively high injury burden in these athletes may be profound. Very high match volumes are unlikely to be in the best interests of young athletes and could be avoided with a systematic approach to load management and athlete development.
训练和比赛负荷已成为有价值的受伤风险因素，但很少有研究探讨青少年运动员的受伤结果。本研究旨在描述青少年运动员参加多项接触团队运动的受伤情况，并探讨训练和比赛负荷量与受伤之间的关系。8 支英式橄榄球联盟队的 103 名 14-16 岁的男性青年橄榄球运动员在一个赛季中每周接受训练和比赛量以及受伤情况的前瞻性监测。通过比较受伤前一周与无受伤周的每周量，探讨了量与受伤之间的关系。58 名运动员中有 83 名发生了时间损失性损伤（62%）。总体受伤发生率为每 1000 名运动员小时 18.5 例。每周平均受伤患病率为 27%（95%CI 25-30）。平均每周量为 5.4（2.2）小时，包括 1.4（1）小时比赛量和 4（2.6）小时训练量。与无受伤周相比，受伤前一周的比赛量更高（110[57]分钟比 83[59]分钟，P<0.001）。泊松回归表明，比赛量是受伤的预测因素，优势比为 1.41（P=0.001）。比赛量对受伤风险的贡献以及这些运动员相对较高的受伤负担可能是深远的。非常高的比赛量可能不符合年轻运动员的最佳利益，可以通过系统的负荷管理和运动员发展方法来避免。
