Some limitations of this study may partly explain why no clearer associations were found between sport participation patterns and injuries. Firstly, athletes assessed the intensity of their workouts by rating their perceived exertion on a 4-level scale to guarantee a good understanding and an easier use by these young athletes. While the data processing applied here to assess weekly load was similar to the previously described methodology, the sensitivity of our scale is certainly lower. Therefore, it is possible that a scale with a greater sensitivity would have allowed a better discrimination between injured and non-injured athletes regarding sport participation patterns. The second limitation of this study is the low compliance of the young athletes with our data collection procedures. Our strict control algorithm regarding data completeness
and reporting delay increases the validity of our analyses, but may have introduced a selection bias. However, given that similar characteristics were found between compliant and non-compliant athletes, even with respect to the proportion of injured athletes, our sample is likely representative of the regional sport school population. Finally, our study group was characterized by a great heterogeneity, with as much as different sport disciplines represented. Unfortunately, a per sport analysis of the relationship between sport participation characteristics and injuries was not possible here, considering our small sample size. The large number of different sport disciplines included in this study led us to group them into 3 main sport categories, giving rise to a less sensitive analysis. Therefore, this study should throw the basis for further investigations on the relationship between sport participation behavior within a specific sport discipline and injury risk.
Some limitations of this study may partly explain why no clearer associations were found between sport participation patterns and injuries. Firstly, athletes assessed the intensity of their workouts by rating their perceived exertion on a 4-level scale to guarantee a good understanding and an easier use by these young athletes. While the data processing applied here to assess weekly load was similar to the previously described methodology, the sensitivity of our scale is certainly lower. Therefore, it is possible that a scale with a greater sensitivity would have allowed a better discrimination between injured and non-injured athletes regarding sport participation patterns. The second limitation of this study is the low compliance of the young athletes with our data collection procedures. Our strict control algorithm regarding data completenessand reporting delay increases the validity of our analyses, but may have introduced a selection bias. However, given that similar characteristics were found between compliant and non-compliant athletes, even with respect to the proportion of injured athletes, our sample is likely representative of the regional sport school population. Finally, our study group was characterized by a great heterogeneity, with as much as different sport disciplines represented. Unfortunately, a per sport analysis of the relationship between sport participation characteristics and injuries was not possible here, considering our small sample size. The large number of different sport disciplines included in this study led us to group them into 3 main sport categories, giving rise to a less sensitive analysis. Therefore, this study should throw the basis for further investigations on the relationship between sport participation behavior within a specific sport discipline and injury risk.
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