Laurent C Matthew, Meyers Michael C, Robinson Clay A, Green J Matt
Department of Kinesiology, The University of Alabama, Tuscaloosa, AL 35487-0312, USA.
Eur J Appl Physiol. 2007 Aug;100(6):645-51. doi: 10.1007/s00421-007-0454-3. Epub 2007 Apr 12.
The 30-s Wingate anaerobic test (30-WAT) is the most widely accepted protocol for measuring anaerobic response, despite documented physical side effects. Abbreviation of the 30-WAT without loss of data could enhance subject compliance while maintaining test applicability. The intent of this study was to quantify the validity of the 20-s Wingate anaerobic test (20-WAT) versus the traditional 30-WAT. Fifty males (mean +/- SEM; age = 20.5 +/- 0.3 years; Ht = 1.6 +/- 0.01 m; Wt = 75.5 +/- 2.6 kg) were randomly selected to either a validation (N = 35) or cross-validation group (N = 15) and completed a 20-WAT and 30-WAT in double blind, random order on separate days to determine peak power (PP; W kg(-1)), mean power (MP; W kg(-1)), and fatigue index (FI; %). Utilizing power outputs (relative to body mass) recorded during each second of both protocols, a non-linear regression equation (Y (20WAT+10 )= 31.4697 e(-0.5)[ln(X (second)/1174.3961)/2.6369(2)]; r (2) = 0.97; SEE = 0.56 W kg(-1)) successfully predicted (error approximately 10%) the final 10 s of power outputs in the cross-validation population. There were no significant differences between MP and FI between the 20-WAT that included the predicted 10 s of power outputs (20-WAT+10) and the 30-WAT. When derived data were subjected to Bland-Altman analyses, the majority of plots (93%) fell within the limits of agreement (+/-2SD). Therefore, when compared to the 30-WAT, the 20-WAT may be considered a valid alternative when used with the predictive non-linear regression equation to derive the final power output values.
30秒温盖特无氧试验(30-WAT)是测量无氧反应最广泛接受的方案,尽管有记录表明存在身体副作用。在不损失数据的情况下缩短30-WAT的时间可以提高受试者的依从性,同时保持测试的适用性。本研究的目的是量化20秒温盖特无氧试验(20-WAT)与传统30-WAT相比的有效性。随机选择50名男性(平均±标准误;年龄=20.5±0.3岁;身高=1.6±0.01米;体重=75.5±2.6千克)分为验证组(N=35)或交叉验证组(N=15),并在不同日期以双盲、随机顺序完成20-WAT和30-WAT,以确定峰值功率(PP;瓦/千克)、平均功率(MP;瓦/千克)和疲劳指数(FI;%)。利用两个方案每秒记录的功率输出(相对于体重),一个非线性回归方程(Y(20WAT+10)=31.4697 e(-0.5)[ln(X(秒)/1174.3961)/2.6369(2)];r(2)=0.97;SEE=0.56瓦/千克)成功预测了交叉验证人群中最后10秒的功率输出(误差约为10%)。包含预测的10秒功率输出的20-WAT(20-WAT+10)和30-WAT之间的MP和FI没有显著差异。当对派生数据进行布兰德-奥特曼分析时,大多数图(93%)落在一致性界限内(±2SD)。因此,与30-WAT相比,当使用预测性非线性回归方程推导最终功率输出值时,20-WAT可被视为一种有效的替代方案。