Training load determining the sport performance of the woman race walker to 50 km

J. Broďáni, Mária Katerinka - Czaková
{"title":"Training load determining the sport performance of the woman race walker to 50 km","authors":"J. Broďáni, Mária Katerinka - Czaková","doi":"10.24040/sjss.2022.8.2.50-64","DOIUrl":null,"url":null,"abstract":"In the article, we point out the volume training indicators that determined the sports performance of the race walker at 20 and 50 km. The basis of the analysis were the training volume indicators and the annual sport performance. Nonparametric procedures were chosen according to the assessment of the normality of file layout. Differences between the completed volume were evaluated statistically (Z) and substantively (“r”). The nonparametric algorithm CHAID was used for the construction of the regression trees. By the trees method were selected training indicators which showed in the individual training cycles high tightness with race walking performance. The regression model in training cycles YTC 2017/2018 introduced the indicator of intense tempo endurance (walking 4:41-5:00 min.km-1), extensive aerobic endurance (walking 6:00 and more min.km-1) and the running volume indicator, Extended aerobic endurance (walking 5:41-6:00 min.km-1), extensive tempo endurance (walking 5:01-5:20 min.km-1), intense special endurance (walking 4:06-4:20 min.km-1), number of starts and regeneration have been enforced between the predictors of the walking performance in training cycles YTC 2018/2019. The analysis points to the training resources which were most involved in the improvement of the sport performance. Their exact identification will allow the rationalization of the training process in the future, coordinate the conceptual bases of sport preparation and to improve the system of shaping the top condition towards the 2021 Olympics in Tokyo.","PeriodicalId":147905,"journal":{"name":"Slovak Journal of Sport Science","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Slovak Journal of Sport Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24040/sjss.2022.8.2.50-64","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In the article, we point out the volume training indicators that determined the sports performance of the race walker at 20 and 50 km. The basis of the analysis were the training volume indicators and the annual sport performance. Nonparametric procedures were chosen according to the assessment of the normality of file layout. Differences between the completed volume were evaluated statistically (Z) and substantively (“r”). The nonparametric algorithm CHAID was used for the construction of the regression trees. By the trees method were selected training indicators which showed in the individual training cycles high tightness with race walking performance. The regression model in training cycles YTC 2017/2018 introduced the indicator of intense tempo endurance (walking 4:41-5:00 min.km-1), extensive aerobic endurance (walking 6:00 and more min.km-1) and the running volume indicator, Extended aerobic endurance (walking 5:41-6:00 min.km-1), extensive tempo endurance (walking 5:01-5:20 min.km-1), intense special endurance (walking 4:06-4:20 min.km-1), number of starts and regeneration have been enforced between the predictors of the walking performance in training cycles YTC 2018/2019. The analysis points to the training resources which were most involved in the improvement of the sport performance. Their exact identification will allow the rationalization of the training process in the future, coordinate the conceptual bases of sport preparation and to improve the system of shaping the top condition towards the 2021 Olympics in Tokyo.
训练负荷决定了女子竞走50公里的运动表现
在本文中,我们指出了决定竞走运动员20公里和50公里运动成绩的量训练指标。分析的基础是训练量指标和年度运动成绩。根据文件布局的正态性评估选择非参数程序。完成体积之间的差异进行统计(Z)和实质性(“r”)评估。采用非参数算法CHAID构建回归树。通过树形法选取了在单个训练周期中与竞走表现紧密度较高的训练指标。YTC 2017/2018训练周期的回归模型引入了高强度有氧耐力指标(步行4:41-5:00 min.km-1)、广泛有氧耐力指标(步行6:00及以上min.km-1)和跑步量指标、扩展有氧耐力指标(步行5:41-6:00 min.km-1)、广泛节奏耐力指标(步行5:01-5:20 min.km-1)、高强度特殊耐力指标(步行4:06-4:20 min.km-1)、在YTC 2018/2019训练周期中,步行表现的预测指标之间强制执行了启动和再生次数。分析指出对运动成绩提高影响最大的训练资源。他们的准确识别将使未来的训练过程合理化,协调运动准备的概念基础,并改善为2021年东京奥运会塑造最佳条件的系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信