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作 者:Abd-Elbasset Abaïdia Grégory Dupont Georges Baquet
机构地区:[1]Universitéde Lille,EA 7369-URePSSS-Unitéde Recherche Pluridisciplinaires Sport SantéSociété,59000 Lille,France [2]Research Institute for Sport and Exercise Sciences Liverpool John Moores University,Liverpool,UK
出 处:《Journal of Science in Sport and Exercise》2023年第2期167-173,共7页体育运动科学(英文)
摘 要:The aims of this study were(1)to define speed and acceleration thresholds from youth match activity of soccer players and(2)to analyze the activity performed by young soccer players during a match using GPS devices and according to these thresholds.Ten U11 soccer players from a professional club participated in a 7-sided match being equipped with global positioning system(GPS)devices(sampling frequency 5 Hz)to measure the speed of each player.The Kernel Density Esti-mate(KDE)was used to observe the occurrences of velocities.The range of velocities was described by a distribution curve,from which the speed and acceleration thresholds for each category of movement were defined and time–motion analysis of the match was made.The model with 4 Gaussian laws was the best when using the Akaike Information Criterion(AIC).In this study,the thresholds defined for each category of movement were:standing(<0.1 km/h),walking(0.1–5.6 km/h),slow running(5.7–7.7 km/h),fast running(7.8–12.7 km/h)and sprint(≥12.8 km/h).Acceleration thresholds were calculated to define movement considered as a sprint for each category of movement:standing(0.3 m/s^(2)),walking(0.66 m/s^(2)),slow running(1.01 m/s^(2))or fast running(0.97 m/s^(2)).All the acceleration thresholds were significantly different from each other(P<0.001)with large effect sizes,excepting the comparison between slow and fast running(P=0.41)with a small effect size.In U-11 soccer players,time–motion analysis may be performed according to five categories of movement.This study has also defined sprint and acceleration thresholds for this category of age.
关 键 词:FOOTBALL SPRINT ACCELERATIONS MOVEMENT YOUTH
分 类 号:G80[文化科学—运动人体科学]
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