Cross-validation of the 20- versus 30-s Wingate anaerobic test.
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.
Laurent
C Matthew
CM
Department of Kinesiology, The University of Alabama, Tuscaloosa, AL 35487-0312, USA. cmlaurentjr@bama.ua.edu
Meyers
Michael C
MC
Robinson
Clay A
CA
Green
J Matt
JM
D000328:Adult; D000693:Anaerobiosis / Q000502:physiology*; D002138:Calibration; D003627:Data Interpretation, Statistical; D005080:Exercise Test / Q000592:standards* / Q000706:statistics & numerical data; D006801:Humans; D016014:Linear Models; D008297:Male; D015233:Models, Statistical; D018763:Muscle Fatigue / Q000502:physiology; D012044:Regression Analysis; D015203:Reproducibility of Results; D013997:Time Factors