Casamichana David, Castellano Julen, Gómez Díaz Antonio, Martín-García Andrés
European University of the Atlantic, Santander, Spain.
Faculty of Education and Sport, University of the Basque Country (UPV/EHU), Vitoria-Gasteiz, Spain.
J Strength Cond Res. 2019 Mar 5. doi: 10.1519/JSC.0000000000003025.
Casamichana, D, Castellano, J, Díaz, AG, and Martín-García, A. Looking for complementary intensity variables in different training games in football. J Strength Cond Res XX(X): 000-000, 2018-The main aim of this study was to identify which combination of external intensity training load (iTL) metrics capture similar or unique information for different training game (TG) formats and official matches (OMs) in football using principal component (PC) analysis. Ten metrics of iTL were collected from 24 professional male football players using global positioning technology. A total of 348, 383, 120, 127, 148, and 207 individual files for small-sided possession games, medium-sided possession games, small-sided games, medium-sided games, large-sided games, and OMs, respectively, were studied. Principal component analysis was conducted on each game format. Extraction criteria were set at an eigenvalue of greater than one. Varimax rotation mode was used to extract more than one PC. Intensity training load metrics with PC "loadings" above 0.7 were deemed to possess well-defined relationships with the extracted PC. In each TG and OM, 3 PCs were identified. For the first PC, eigenvalues for each game format ranged from 3.89 to 4.45, which explained 39-44% of the information (i.e., variance) provided by the 10 iTL metrics. For the second PC, eigenvalues ranged from 2.17 to 2.47, explaining 22-26% of iTL information. For the third PC, eigenvalues ranged from 1.41 to 1.98, explaining 14-20% of iTL information. This would suggest that TG and OM have multidimensional demands; so, the use of only a single iTL could potentially lead to an underestimation of the physical demands. Consequently, a combination of 3 iTL metrics is required during professional football game formats.
卡萨米查纳，D、卡斯特利亚诺，J、迪亚斯，AG以及马丁 - 加西亚，A。探寻足球不同训练比赛中的补充强度变量。《力量与体能研究杂志》XX(X)：000 - 000，2018年 - 本研究的主要目的是通过主成分（PC）分析确定外部强度训练负荷（iTL）指标的哪种组合能为足球不同训练比赛（TG）形式和正式比赛（OM）获取相似或独特的信息。使用全球定位技术从24名职业男性足球运动员身上收集了10个iTL指标。分别对小型控球游戏、中型控球游戏、小型比赛、中型比赛、大型比赛和正式比赛的348、383、120、127、148和207个个人文件进行了研究。对每种比赛形式进行了主成分分析。提取标准设定为特征值大于1。采用方差最大化旋转模式提取多个主成分。主成分“载荷”高于0.7的强度训练负荷指标被认为与提取的主成分具有明确的关系。在每个TG和OM中，确定了3个主成分。对于第一个主成分，每种比赛形式的特征值范围为3.89至4.45，解释了10个iTL指标提供的39 - 44%的信息（即方差）。对于第二个主成分，特征值范围为2.17至2.47，解释了22 - 26%的iTL信息。对于第三个主成分，特征值范围为1.41至1.98，解释了14 - 20%的iTL信息。这表明TG和OM具有多维度需求；因此，仅使用单个iTL可能会低估身体需求。因此，在职业足球比赛形式中需要3个iTL指标的组合。
