Powerlifting Balance Of SBD Disciplines (Squat, Bench Press And Deadlift) Ratio To Total Score

José Alfredo Hernández Ugalde
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Abstract

This research studied the powerlifting balance of squat, bench press and deadlift (SBD) disciplines ratio to the total score. The data set was from Powerlifting Championships recognized by the International Powerlifting Federation, compiled by the Open Powerlifting project. The records were 65,867 men’s and 35,679 women’s samples from classic powerlifting and 19,295 men’s and 7,426 women’s samples from equipped powerlifting, all with ages from 24 to 39 years from 2012 to November 2022. For each record, the SBD ratios were calculated by the mean of the formula (SBD discipline / Total score) by one hundred. Dispersion plots of Good Lift Points (GLP) score versus the SBD ratios and Bar plots of mean and variance of SBD ratios were done, highlighted by quantiles of GLP score. The Mean and Standard Deviation from Elite Powerlifters (90-100th quantiles) of each weight class were used to calculate the SBD ratio ranges. An algorithm with twenty-six permutations, where the addition and subtraction from 0.5 to 3 standard deviation to the mean marked the ranges' Upper and Lower borders. The best permutation by each weight class was selected when the athletes' group inside the optimal ratio ranges (ORR) showed the highest Impact Factor (GLP mean by frequency) and the shortest ORR. To evaluate the effectiveness of the ORR for each weight class in sexes and events were analyzed lower levels of Powerlifters, inside 0-50th and 50th-90th quantiles of GLP score. For these sets, was applied One Way ANOVA to evaluate the meaning differences between IN and OUT groups from ORR, using post-hoc test of Tukey's HSD or Games-Howell. From sixty-four evaluations, forty-eight were higher in GLP mean score for the IN group, meaning differences regarding the OUT group. At the same time, fifteen were only the highest but not statistically different, and only one was rejected for both. Regardless of the quantile level, for Classic Powerlifting, four Women’s (57, 63, 69 and +84) and five Men’s (66, 74, 93, 105 and +120) classes presented ORR supported; while for Equipped Powerlifting were four Men’s (74, 83, 93 and 105) and six Women’s (57, 63, 69, 76, 84 and +84) classes. These findings support the theory of Powerlifting balance in SBD disciplines, which influences performance.
力量举重(深蹲、卧推和硬举)与总分的比值
本研究研究深蹲、卧推和硬举(SBD)的力量平衡与总分的比值。数据集来自国际举重联合会认可的力量举重锦标赛,由公开力量举重项目汇编。这些记录是来自经典举重的65867名男性和35679名女性样本,来自装备举重的19295名男性和7426名女性样本,从2012年到2022年11月,年龄都在24岁到39岁之间。对于每条记录,SBD比率按公式(SBD学科/总分)的平均值除以100计算。绘制良好升力点(GLP)评分与SBD比率的离散图,以及SBD比率均值和方差的条形图,并用GLP评分的分位数突出显示。使用每个重量级别的精英力量举重运动员的平均值和标准差(90-100分位数)来计算SBD比率范围。一种包含26种排列的算法,其中距离平均值0.5到3个标准差的加减法标记了范围的上下边界。当最优比值范围(ORR)内运动员组的影响因子(GLP均值按频次计算)最高、ORR最短时,选择各体重级别的最佳排列。为了评估ORR在每个重量级别的有效性,在性别和项目中分析了较低水平的力量举重运动员,在GLP评分的0-50分位数和50 -90分位数内。对于这些集合,使用Tukey的HSD或Games-Howell的事后检验,应用单向方差分析来评估ORR中IN组和OUT组之间的意义差异。从64个评估中,48个in组的GLP平均得分更高,这意味着OUT组的差异。同时,只有15个是最高的,但在统计上没有差异,只有一个被两个都拒绝了。无论分位数水平如何,对于经典力量举,4个女子(57、63、69和+84)和5个男子(66、74、93、105和+120)类别的ORR支持;而装备举重则分为4个男子级(74、83、93和105)和6个女子级(57、63、69、76、84和+84)。这些发现支持了SBD学科中力量举平衡理论,它会影响成绩。
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