Regression Equations for Estimating vVO_{2}max and vOBLA from 3200M Run Time in Japanese Male Junior Youth Soccer Players Using Longitudinal Data
Kentaro Chuman and Takahiko Nishijima
[Received March 24, 2023; Accepted July 4, 2023]
This study aimed to develop regression equations to estimate running velocity of maximal oxygen uptake (vVO_{2}max) and onset of blood lactate accumulation (vOBLA) from a 3200m run time using a soccer pitch. Fortyfour Japanese male junior youth soccer players from a team in the Japan Professional Football League First Division (J1 League) participated in this experiment. In the laboratory, vVO_{2}max and vOBLA were measured using an incremental load test, while the 3200m run time was measured on the soccer pitch. Structural equation modeling was applied to analyze the sequential causal structure and latent growth curve models of aerobic running capability development during soccer training. A regression equation (1) utilized the 3200m run time (s) as the independent variable (x) and vVO_{2}max (km/h) as the dependent variable (y), resulting in the equation y=0.02461x+36.60 (r^{2}=0.564). The regression equation (2) utilized the 3200m run time (s) as the independent variable (x) and vOBLA (km/h) as the dependent variable (y), resulting in the equation y=0.01833x+29.30 (r^{2}=0.541). The coefficient of determination (r^{2}) for the regression equations exceeded 0.5. We successfully developed to estimate vVO_{2}max and vOBLA from a 3200m run time in Japanese male junior youth soccer players.
Keywords: structural equation modeling, aerobic running velocity, maximal oxygen uptake, onset of blood lactate accumulation
[Football Science Vol.20, 3846, 2023]
