足球比赛跑动方式与临界速度、无氧速度储备的关系分析

IF 0.7 Q4 HOSPITALITY, LEISURE, SPORT & TOURISM
Hamit Cihan
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引用次数: 0

摘要

背景和研究目的。本研究的目的是分析足球比赛中临界速度(CV)和无氧速度储备(ASR)与比赛跑姿的关系。材料和方法。研究组由15名年轻男子足球运动员组成(n=15,年龄=16.60±0.51岁,身高=177.40±5.25 cm,体重=67.20±5.52 kg,体重指数=21.32±0.96 kg/m2)。进行Yo-Yo间歇恢复水平1测试(Yo-Yo-IRT)以确定最大有氧速度(MAS)。最大冲刺速度(MSS)通过30米短跑测试确定。采用线性总距离模型(Lin-TD:linear total distance model)对800米和2400米跑试验中的覆盖距离与跑时长进行线性回归,得到CV和ADC参数。进行了一场90分钟的足球比赛,以确定受试者的比赛跑步概况(每个跑步类别的覆盖距离),并通过全球定位系统(GPS)设备在五个跑步类别(步行:0-6.9 km/h,低强度跑步:7-12.9 km/h,中强度跑步:13-17.9 km/h,高强度跑步:18-20.9 km/h,短跑:>21 km/h)中进行了检查。采用相关分析和多元线性回归分析对收集的数据进行分析。后果研究发现,CV与总跑距、低强度跑和中强度跑均呈显著正相关(p<0.05)。ASR与所有比赛跑姿均呈显著负相关(p>0.05)。CV和ASR均为高强度跑、最大跑速和比赛总跑距的显著预测因子(p<0.05),CV是短跑的显著预测因子,ASR对步行有显著预测作用(p<0.05)。因此,可以得出结论,在足球运动中,有氧健身与CV呈正相关,与ASR呈负相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An analysis of the relationship between critical velocity and anaerobic speed reserve with match running profile in football
Background and Study Aim. The aim of this study was to analyse the relationship between critical velocity (CV) and anaerobic speed reserve (ASR) with match running profile in football. Material and Methods. The research group consisted of fifteen young male football players (n=15, age=16.60±0.51 years, height=177.40±5.25 cm, weight=67.20±5.52 kg, body mass index=21.32±0.96 kg/m2). Yo-Yo intermittent recovery level 1 test (Yo-Yo IRT) was performed to determine maximal aerobic speed (MAS). Maximal sprint speed (MSS) was determined by 30-meter sprint test. CV and ADC parameters were obtained by linear regression model (Lin-TD: linear total distance model) between the covered distance and running duration in 800-meter and 2400-meter running tests. A 90-minutes football match was played to determine the subjects’ match running profile (covered distance in every running category), which was examined by means of a global positioning system (GPS) device in five running categories (walking: 0-6.9 km/h, low intensity running: 7-12.9 km/h, middle intensity running: 13-17.9 km/h, high intensity running: 18-20.9 km/h, sprint: >21 km/h). Correlation analysis and multiple linear regression analysis was employed to analyse the collected data. Results. It was found that CV was significantly and positively correlated with total running distance as well as low and middle intensity running (p<0.05). A significant and negative correlation was found between ASR and all match running profiles (p<0.05). Both CV and ASR were significant predictors of high intensity running, maximum running speed and total running distance during match (p<0.05). However, while CV was a significant predictor of sprint running, ASR significantly predicted walking (p<0.05). Conclusions. Consequently, it may be concluded that in football, aerobic fitness is positively correlated to CV and negatively to ASR.
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来源期刊
Pedagogy of Physical Culture and Sports
Pedagogy of Physical Culture and Sports Social Sciences-Education
CiteScore
2.00
自引率
0.00%
发文量
45
审稿时长
6 weeks
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