Ardigò Luca Paolo, Palermi Stefano, Padulo Johnny, Dhahbi Wissem, Russo Luca, Linetti Simone, Cular Drazen, Tomljanovic Mario
Department of Neurosciences, Biomedicine and Movement Sciences, School of Exercise and Sport Science, University of Verona, Verona, Italy.
Department of Public Health, University of Naples Federico II, Naples, Italy.
Front Sports Act Living. 2020 Jul 14;2:67. doi: 10.3389/fspor.2020.00067. eCollection 2020.
Post-exercise recovery is a complex process involving a return of performance and a physiological or perceptual feeling close to pre-exercise . The hypothesis of this study is that the device investigated here is effective in evaluating the recovery state of professional cyclists in order to plan effective training. Ten professional male cyclists belonging to the same team were enrolled in this study. Participants performed a 7-day exercise program [D1, D4, and D7: low-intensity training; D2 and D5: passive recovery; D3: oxygen consumption (VO) test (for mechanical power assessment only); and D6: constant load test]. During the week of monitoring, each morning before getting up, the device assessed each participant's so-called Organic Readiness {OR [arbitrary unit (a.u.)]}, based on blood pressure (BP), heart rate (HR), features of past exercise session, and following self-perceived condition. Based on its readings and algorithm, the device graphically displayed four different colors/values, indicating general exercise recommendations: green/3 = "you can train hard," yellow/2 = "you can train averagely," orange/1 = "you can train lightly," or red/0 = "you should recover passively." During the week of research, morning OR values and Bonferroni comparisons showed significant differences between days and, namely, values (1) D2 (after low intensity training) was higher than D4 (after VO test; = 0.033 and = 1.296) and (2) D3 and D6 (after passive recovery) were higher than D4 (after VO test; = 0.006 and = 2.519) and D5 (after low intensity training; = 0.033 and = 1.341). The receiver operating characteristic analysis area under curve (AUC) recorded a result of 0.727 and could differentiate between D3 and D4 with a sensitivity and a specificity of 80%. Preliminarily, the device investigated is a sufficiently effective and sensitive/specific device to assess the recovery state of athletes in order to plan effective training.
运动后的恢复是一个复杂的过程,涉及运动表现的恢复以及生理或感知状态恢复到接近运动前的水平。本研究的假设是,此处所研究的设备在评估职业自行车运动员的恢复状态方面是有效的,以便制定有效的训练计划。来自同一团队的10名职业男性自行车运动员参与了本研究。参与者进行了为期7天的运动计划[第1、4和7天:低强度训练;第2和5天:被动恢复;第3天:耗氧量(VO)测试(仅用于机械功率评估);第6天:恒定负荷测试]。在监测周期间,每天早上起床前,该设备根据血压(BP)、心率(HR)、过去训练课的特征以及自我感知的状况,评估每位参与者的所谓机体准备度{OR[任意单位(a.u.)]}。基于其读数和算法,该设备以图形方式显示四种不同的颜色/数值,给出一般性的运动建议:绿色/3 = “你可以进行高强度训练”,黄色/2 = “你可以进行中等强度训练”,橙色/1 = “你可以进行轻度训练”,或红色/0 = “你应该进行被动恢复”。在研究周期间,早晨的OR值和Bonferroni比较显示不同日期之间存在显著差异,具体而言,数值(1)第2天(低强度训练后)高于第4天(VO测试后;P = 0.033,效应量 = 1.296),以及(2)第3天和第6天(被动恢复后)高于第4天(VO测试后;P = 0.006,效应量 = 2.519)和第5天(低强度训练后;P = 0.033,效应量 = 1.341)。受试者工作特征曲线下面积(AUC)记录结果为0.727,并且能够以80%的灵敏度和特异性区分第3天和第4天。初步而言,所研究的设备是一种足够有效且灵敏/特异的设备,可用于评估运动员的恢复状态,以便制定有效的训练计划。