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Diagnostic Sources of Information on Sports Result Determinants in Young Powerlifting Athletes

机译：青年举重运动员运动成绩决定因素信息的诊断来源

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Purpose. Sports results in powerlifting have been extensively studied, but there is no analysis of the diagnostic sources of criteria for selecting 19–20-year-old athletes. Therefore, it is important to continue the study of factors affecting performance in power-lifting, not only in individual events, but also in the entire discipline. There were two research objectives in the study: firstly, to identify a set of independent (predictor) variables contributing to sports results (outcome variable) in powerlifting using the least numbers of those variables, and secondly, to develop a biometric regression model describing the sports result.Methods. The study group (n = 30) comprised juniors (aged 19.4 ± 0.7) training powerlifting. The following methods of collecting information were used: observation, survey, and analytical methods of diagnostics: analysis of multiple regression functions, and selection of optimal variables with the use of Hellwig’s algorithm.Results. The optimal set of variables predicting sports results in junior powerlifting consists of nine features. The integral capacity of the selected information sources reached the value of 0.891.Conclusions. It was confirmed that body composition, special physical fitness, and the technique of movement would constitute the optimum combination of explanatory variables of the model. These characteristics have the highest value as diagnostic and selection criteria and should not be overlooked.
机译：目的。力量举重的运动成绩已经得到了广泛的研究，但是没有对选择19至20岁运动员的标准的诊断来源进行分析。因此，重要的是继续研究影响举重表现的因素，不仅在个别事件中，而且在整个学科中。该研究有两个研究目标：首先，使用最少数量的变量来识别一组有助于举重运动中运动结果（结果变量）的独立变量（预测变量）;其次，开发描述该变量的生物特征回归模型。运动成绩。方法。研究组（n = 30）包括初中（19.4±0.7岁）训练举重的人。使用了以下收集信息的方法：观察，调查和诊断分析方法：分析多个回归函数，以及使用Hellwig算法选择最佳变量。预测初级举重运动成绩的最佳变量集包括九个特征。所选信息源的总容量达到0.891。结论。可以肯定的是，身体成分，特殊的身体健康状况和运动技巧将构成模型解释变量的最佳组合。这些特征具有最高的诊断和选择标准价值，不应忽视。

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