Study of the Relationship Between Specialised Physical Fitness and Repeated Sprinting Ability in University Football Players

Objective: To explore the relationship between specialised physical quality and repeated sprinting ability of university football players, and to provide theoretical basis for improving repeated sprinting ability and sports level of university football players. Methods: 29 athletes from the Chizhou University varsity football team were selected as test subjects using the method of intentional sampling to measure their specialised physical fitness and repeated sprinting ability, and Pearson correlation analysis and linear regression analysis were used to explore the relationship between specialised physical fitness and repeated sprinting ability. Results: The YO-YO test, 5*25 m run, 30 m run and T-run had different degrees of positive or negative correlation with RSAbest and RSAmean in the specialised physical fitness. 67.4% of the maximal recurrent sprinting ability could be explained by the YO-YO test, 5*25 m run, 30 m run and T-run; 61.2% of the average recurrent sprinting ability could be explained by the YO-YO test, 5*25 m run and 30 m run. 61.2% of average repeated sprinting ability. Conclusion: Specialised physical fitness of university football players is related to repeated sprinting ability, and improving specialised physical fitness is conducive to enhancing repeated sprinting ability of football players.

Authors

Publication Details

Journal
Academic Journal of Science and Technology
Published
2024-09-14
DOI
https://doi.org/10.54097/q4exjn57
Primary Topic
Sports Performance and Training
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Study of the Relationship Between Specialised Physical Fitness and Repeated Sprinting Ability in University Football Players

Jianzhong Sun, Hongmin Cao, M. Zhang, Yintao Niu et al.
Academic Journal of Science and Technology
Sports Performance and Training
article

Study of the Relationship Between Specialised Physical Fitness and Repeated Sprinting Ability in University Football Players

Jianzhong Sun, Hongmin Cao, M. Zhang, Yintao Niu, Mengying Shen
article en

Abstract

Objective: To explore the relationship between specialised physical quality and repeated sprinting ability of university football players, and to provide theoretical basis for improving repeated sprinting ability and sports level of university football players. Methods: 29 athletes from the Chizhou University varsity football team were selected as test subjects using the method of intentional sampling to measure their specialised physical fitness and repeated sprinting ability, and Pearson correlation analysis and linear regression analysis were used to explore the relationship between specialised physical fitness and repeated sprinting ability. Results: The YO-YO test, 5*25 m run, 30 m run and T-run had different degrees of positive or negative correlation with RSAbest and RSAmean in the specialised physical fitness. 67.4% of the maximal recurrent sprinting ability could be explained by the YO-YO test, 5*25 m run, 30 m run and T-run; 61.2% of the average recurrent sprinting ability could be explained by the YO-YO test, 5*25 m run and 30 m run. 61.2% of average repeated sprinting ability. Conclusion: Specialised physical fitness of university football players is related to repeated sprinting ability, and improving specialised physical fitness is conducive to enhancing repeated sprinting ability of football players.

Academic Journal of Science and TechnologyVol. 12(2)
Openalex Percentile: Top 80%
Sports Performance and Training
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.