ArticleJournal of sport and health science2021
Training load characteristics and injury and illness risk identification in elite youth ski racing: A prospective study.
Article in Journal of sport and health science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Lower Extremity Injuries in Elite Snowsport Athletes: A Retrospective Survey.Journal of clinical medicine · 2026Article
- The Impact of Overtraining on Injury Rates in School-Age Athletes-A Scoping Review.Journal of clinical medicine · 2025Review
- A meta-analysis of the criterion-related validity of Session-RPE scales in adolescent athletes.BMC sports science, medicine & rehabilitation · 2023Article
- Winter Sports Injuries in Elite Female Athletes: A Narrative Review.International journal of environmental research and public health · 2023Review
- Addressing the unresolved challenge of quantifying skiing exposure-A proof of concept using smartphone sensors.Frontiers in sports and active living · 2023Article
- Deadbug Bridging Performance in 6- to 15-Year-Old Competitive Alpine Skiers-A Cross-Sectional Study.Biology · 2022Article
- Relationship of Changes in Physical Fitness and Anthropometric Characteristics over One Season, Biological Maturity Status and Injury Risk in Elite Youth Ski Racers: A Prospective Study.International journal of environmental research and public health · 2020Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe study aimed to investigate the role of training load characteristics and injury and illness risk in youth ski racing.
methodsThe 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.
resultsDifferences 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).
conclusionA 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.
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