Department of Physical Education, Yonsei University, Seoul, Republic of Korea.
Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea.
PLoS One. 2022 Feb 4;17(2):e0263398. doi: 10.1371/journal.pone.0263398. eCollection 2022.
We examined the potential roles of the athlete's performance passport (APP) for doping detection by analyzing the relationship between weightlifting performance and sanction status. For the present study, performance data of 'not-sanctioned' (26740 datasets) and 'sanctioned' (289 datasets) male athletes were acquired from the website of the International Weightlifting Federation (www.iwf.net). One-way ANOVA, correlation analysis, and t-tests were used to analyze the relationship between athletes' use of doping and their performances across age and body weight. Athletic performance was significantly greater for athletes in the sanctioned group than those of the same age group who were not sanctioned, and this performance difference between the two groups was the greatest in their late thirties at 20.6% (not-sanctioned 292.0kg vs. sanctioned 352.3kg) (p < 0.05). From the age group analysis, out of 289 sanctioned cases, 84 cases, which was the largest proportion, were found within the top 10-25% of their performances. When stratified by body weight, athletic performance was significantly greater for the sanctioned group than the not-sanctioned group, and this performance gap was the greatest in the bodyweight category of 96 at 18.6% (not-sanctioned 310.1kg vs. sanctioned 367.8kg) (p < 0.05). From the body weight category analysis, out of 289 sanctioned cases, 75 cases, which was the largest proportion, were found within the top 10-25% of their performances. Additionally, the mean difference in performance between not-sanctioned and sanctioned groups was the largest in the body weight category of 67kg in the ages of 15-19 at 20% (not-sanctioned 234.6kg vs. sanctioned 281.5kg). These results are interpreted to mean that in male weightlifters 1) sanctioned athletes were detected in all ranges of performances regardless of age and body weight, 2) there were even higher rates of sanctioned athletes who performed within the top 10-25% of each age group and body weight category, 3) there were significant differences in performance between not-sanctioned and sanctioned group for all body weight categories, excluding +109, in the ages of 15-19 and 20-24, 4) therefore, performance data can be effectively used to better target suspected athletes for doping testing.
我们通过分析举重成绩与受罚状况之间的关系，研究了运动员表现护照（APP）在兴奋剂检测方面的潜在作用。在本研究中，从国际举重联合会（www.iwf.net）网站上获取了“未受罚”（26740 个数据集）和“受罚”（289 个数据集）男性运动员的成绩数据。采用单因素方差分析、相关分析和 t 检验来分析运动员使用兴奋剂与他们在年龄和体重范围内的表现之间的关系。与同年龄组未受罚的运动员相比，受罚运动员的运动成绩明显更高，而两组之间的这种成绩差异在三十多岁时最大，为 20.6%（未受罚 292.0 公斤对受罚 352.3 公斤）（p＜0.05）。从年龄组分析，在 289 个受罚案例中，最大比例的 84 个案例出现在他们表现的前 10-25%范围内。按体重分层时，受罚组的运动成绩明显高于未受罚组，而在体重 96 公斤组的差距最大，为 18.6%（未受罚 310.1 公斤对受罚 367.8 公斤）（p＜0.05）。从体重类别分析，在 289 个受罚案例中，最大比例的 75 个案例出现在他们表现的前 10-25%范围内。此外，未受罚组和受罚组之间的成绩差异在 15-19 岁的 67 公斤体重类别中最大，为 20%（未受罚 234.6 公斤对受罚 281.5 公斤）。这些结果表明，在男性举重运动员中：1）无论年龄和体重如何，在所有成绩范围内都检测到了受罚运动员；2）甚至有更高比例的受罚运动员在每个年龄组和体重类别中都表现在前 10-25%；3）除了+109 之外，所有体重类别中，15-19 岁和 20-24 岁的未受罚组和受罚组之间的成绩都有显著差异；4）因此，成绩数据可以有效地用于更好地针对疑似运动员进行兴奋剂检测。
