On the relationship between flexibility and jump performance across age and sex: A 15-season retrospective longitudinal study on 229 alpine ski racers

Alpine skiing performance depends on several qualities, including lower limb strength, power production and flexibility. However, how these physical skills, as well as their relationship, differ between sexes and evolve in growing skiing athletes is still unclear. We analysed sit-and-reach (SR) and three jump test (height and peak power) scores of over 200 alpine ski racers collected across 15 sports seasons. We stratified data among sex and age categories to assess differences and to interpret the relationships between flexibility and jump performance. The mixed models showed a significant age category and sex effect (p < 0.001) for all the flexibility and jump performance scores, with males having higher jump scores but lower SR scores than females, and all performance scores increasing significantly through the age categories. The regressions between SR and the jump scores performed on the whole database were positively significant for the three jump variations (p < 0.001, R-2 ranging from 8.9% to 15.9%), while when the relationship was reanalysed independently in each age-sex group, only some were significant. Both age and sex influenced the performance in the investigated lower limb power and flexibility qualities, along with their relationship. The presented results suggest that lower limb power and flexibility should be longitudinally assessed, as well as their relationship, for training and testing purposes, considering the sex and growth-related modifications.

Automated summary

This study analyzed the relationship between lower limb strength, power production, flexibility, and performance in alpine ski racers. The results showed that both age and sex influenced these physical qualities and their relationship, with males having higher jump scores but lower sit-and-reach scores than females. Assessing and considering these qualities and their relationship longitudinally, taking into account sex and growth, is important for training and testing purposes.