Effects of visual training on motor performance in young tennis players using FitLight trainer

Fabio Forni,Emanuele Farinini,Riccardo Leardi, Andrea Rinaldo

JOURNAL OF SPORTS MEDICINE AND PHYSICAL FITNESS(2022)

引用 4|浏览6
暂无评分
摘要
BACKGROUND: Tennis is an open-skill sport in which the athletes have a short period of time to elaborate all the information coming from the surrounding environment and produce a motor answer based on them. The aim of this study was divided in two hypotheses: 1) to assess if belonging to a certain category, athlete, or non-athlete, older or younger, can affect the development of reaction time on children; and 2) if a protocol based on visual training (VT) of 6 weeks could improve the motor performance on the field in young tennis players using FitLight Trainer (Medical Graphics, Milan, Italy). METHODS: In this evidence a group of young children (N.=40) have been tested on light board through reaction test then some young tennis players (N.=15, age: 7-12 years old) were taken as reference for the second hypothesis. They were divided in two groups: 7 of them were in the group Under-10 (U10) while 8 in a second group (U12). They performed a VT protocol once a week for at least 40 minutes for 6 weeks. They were tested at baseline (T0) and follow-up (T6) to evaluate the reaction time, time in specific lateral shift and precision about forehand and backhand. RESULTS: The development of reaction time of the athletes is principally caused by their growth (P<0.05). Principal components analysis (PCA) showed significant improvements in the Under-10 category in all the tests while in the Under-12 category not every individual showed a significant result in terms of performance. CONCLUSIONS: The developing of reaction time and coordination eye-hand is mainly due to the growth of young athletes. Also, performing a 6-week VT using FitLight Trainer is possible improve the reaction time and the motor performance on the field especially in young tennis players under 10 years old.
更多
查看译文
关键词
Tennis, Exercise, Sports
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要