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精英青年滑雪比赛中的训练负荷特征和损伤与疾病风险识别:一项前瞻性研究。

Training load characteristics and injury and illness risk identification in elite youth ski racing: A prospective study.

机构信息

Department of Sport Science, University of Innsbruck, Innsbruck 6020, Austria; Department of Sport and Health Science, Preventative Pediatrics, Technical University of Munich, Munich 80992, Germany.

Department of Sport and Health Science, Preventative Pediatrics, Technical University of Munich, Munich 80992, Germany.

出版信息

J Sport Health Sci. 2021 Mar;10(2):230-236. doi: 10.1016/j.jshs.2020.03.009. Epub 2020 May 16.

Abstract

PURPOSE

The study aimed to investigate the role of training load characteristics and injury and illness risk in youth ski racing.

METHODS

The training load characteristics as well as traumatic injuries, overuse injuries, and illnesses of 91 elite youth ski racers (age = 12.1 ± 1.3 years, mean ± SD) were prospectively recorded over a period of 1 season by using a sport-specific online database. Multiple linear regression analyses were performed to monitor the influence of training load on injuries and illnesses. Differences in mean training load characteristics between preseason, in-season, and post-season were calculated using multivariate analyses of variance.

RESULTS

Differences were discovered in the number of weekly training sessions (p = 0.005) between pre-season (4.97 ± 1.57) and post-season (3.24 ± 0.71), in the mean training volume (p = 0.022) between in-season (865.8 ± 197.8 min) and post-season (497.0 ± 225.5 min) and in the mean weekly training intensity (Index) (p = 0.012) between in-season (11.7 ± 1.8) and post-season (8.9 ± 1.7). A total of 185 medical problems were reported (41 traumatic injuries, 12 overuse injuries, and 132 illnesses). The weekly training volume and training intensity was not a significant risk factor for injuries (p > 0.05). Training intensity was found to be a significant risk factor for illnesses in the same week (β = 0.348; p = 0.044; R² = 0.121) and training volume represents a risk factor for illnesses in the following week (β = 0.397; p = 0.027; R² = 0.157).

CONCLUSION

A higher training intensity and volume were associated with increased illnesses, but not with a higher risk of injury. Monitoring training and ensuring appropriate progression of training load between weeks may decrease incidents of illness in-season.

摘要

目的

本研究旨在探讨训练负荷特征以及损伤和疾病风险在青年滑雪比赛中的作用。

方法

通过使用特定于运动的在线数据库,对 91 名精英青年滑雪运动员(年龄=12.1±1.3 岁,平均值±标准差)的训练负荷特征以及创伤性损伤、过度使用损伤和疾病进行了前瞻性记录。使用多元线性回归分析来监测训练负荷对损伤和疾病的影响。使用多元方差分析计算了 preseason、in-season 和 post-season 之间平均训练负荷特征的差异。

结果

preseason(4.97±1.57)和 post-season(3.24±0.71)之间每周训练次数(p=0.005)、in-season(865.8±197.8 min)和 post-season(497.0±225.5 min)之间平均训练量(p=0.022)以及 in-season(11.7±1.8)和 post-season(8.9±1.7)之间平均每周训练强度(Index)(p=0.012)存在差异。共报告了 185 例医疗问题(41 例创伤性损伤,12 例过度使用损伤和 132 例疾病)。每周训练量和训练强度并不是损伤的显著危险因素(p>0.05)。发现训练强度是同一周疾病的显著危险因素(β=0.348;p=0.044;R²=0.121),训练量是下一周疾病的危险因素(β=0.397;p=0.027;R²=0.157)。

结论

较高的训练强度和量与疾病的增加有关,但与受伤的风险增加无关。监测训练并确保每周之间训练负荷的适当进展可能会减少赛季中疾病的发生。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/438c/7987564/b576abea43d5/fx1.jpg

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