
@article{ref1,
title="Training load characteristics and injury and illness risk identification in elite youth ski racing: a prospective study",
journal="Journal of sport and health science",
year="2020",
author="Hildebrandt, Carolin and Oberhoffer, Renate and Raschner, Christian and Muller, Erich and Fink, Christian and Steidl-Müller, Lisa",
volume="ePub",
number="ePub",
pages="ePub-ePub",
abstract="BACKGROUND: The purpose was 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 postseason were calculated using multivariate analyses of variance.   RESULTS: Differences were discovered in the number of weekly training sessions (p = 0.005) between preseason (4.97 ± 1.57) and postseason (3.24 ± 0.71), in the mean training volume (p = 0.022) between in-season (865.8 ± 197.8 min) and postseason (497.0 ± 225.5 min) and in the mean weekly training intensity (Index) (p = 0.012) between in-season (11.7 ± 1.8) and postseason (8.9 ± 1.7). A total of 185 medical problems were reported (41 traumatic injuries, 12 overuse injuries and132 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 (ß = 0.348, p = 0.044, R² = 0.121) and training volume represents a risk factor for illnesses in the following week (ß = 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.<p /> <p>Language: en</p>",
language="en",
issn="2095-2546",
doi="10.1016/j.jshs.2020.03.009",
url="http://dx.doi.org/10.1016/j.jshs.2020.03.009"
}