不同热身方案对女排运动员短跑成绩的急性影响研究

Gökhan TUNA, Ayşem Ece YALÇINKAYA
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摘要

近年来,关于热身方案的研究数量有所增加。然而,很少有研究是专门针对女性运动员群体的,并且包含了大量的参与者。本研究旨在探讨3种不同的热身方案对年轻女排运动员短跑成绩的影响。共有62名13-17岁的持牌女排运动员自愿参加。研究中有3个阶段。参与者随机分为热身组(GWG)、动态拉伸组(DSG)和静态拉伸组(SSG)。在完成热身方案后,各组进行5分钟的过渡期。随后进行了20米冲刺性能测试。采用Python编程语言和IBM SPSS 26软件进行数据分析。夏皮罗-威尔克检验和Kolmogorov-Smirnov检验以及峰度和偏度检验。数据显示为正态分布(p>0 05)。采用重复测量方差分析(Repeated Measures Anova)检验差异,显著性水平取α= 0.05。对结果进行检验时,发现GWG组和SSG组20米冲刺时间值差异无统计学意义(p> 0.05),而将DSG组和GWG组和SSG组20米冲刺时间值进行比较时,发现DSG组的冲刺时间改善有统计学意义(p . 0.05)
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Kadın Voleybolcularda Farklı Isınma Protokollerinin Sprint Performansına Akut Etkisinin İncelenmesi
The number of studies on warm-up protocols has increased in recent years. However, there are very few studies that are specific to the population of female athletes and consist of a large number of participants. This study was designed to investigate the effects of 3 different warm-up protocols on sprinting performance in young female volleyball players. A total of 62 licensed female volleyball players aged 13-17 years participated voluntarily. There were 3 sessions in the study. The participants were randomly divided into a warm-up group (GWG), a dynamic stretch group (DSG) and a static stretch group (SSG). After completing the warm-up protocols, the groups underwent a 5-minute transition period. The 20-metre sprint performance test was then performed. Data analysis was performed with the Python programming language and IBM SPSS 26 software. Shapiro-Wilk and Kolmogorov-Smirnov tests and kurtosis and skewness checks were performed. The data were indicated to be normally distributed (p> 0,05). Repeated Measures Anova test was used to detect the differences and the significance level was chosen as α=0,05. When the results were examined, it was found that there was no statistically significant difference between the GWG and SSG 20 meter sprint time values (p>0,05), whereas when the DSG and GWG and SSG 20 metre sprint time values were compared, it was found that the DSG group's sprint time improved statistically significantly (p
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