Introduction: The traditional method of synchronous training between the waist and abdomen to improve the strengthening of tennis strokes has been the main form of teaching in Chinese universities, but this method has not yet achieved its most expressive results in these years of teaching. Objective: Analyze the differences between traditional strength training for tennis hitting, and provide techniques for its improvement. Methods: A comparative analysis of improved hitting strength training and traditional hitting strength training was conducted, the relevant indicators of students before and after the experiment were collected, and a data analysis program was used for comparison and methodological analysis. Results: The students’ speed and performance were significantly improved. The mean speed of the experimental group increased from 152.66 km/h to 168 km/h; the mean speed of the control group increased from 153.12 km/h to 159.23 km/h; the score of the experimental group relative to the others increased from 42.66 to 72.96. Conclusion: Both methods of strength training can improve the skills of students practicing tennis. The main difference was found in the speed of the improvement frequency. Therefore, we noticed corresponding differences between the groups and the students’ abilities during the experiment, evidencing expressive short-term results. Level of evidence II; Therapeutic studies - investigation of treatment outcomes.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.