Maximal Lactate Steady-State Prediction Through Quadratic Modeling of Selected Stages of the Lactate Minimum Test

Pardono, E, da Costa Sotero, R, Hitane, W, Mota, MR, Campbell, CSG, Nakamura, FY, and Simões, HG. Maximal lactate steady-state prediction through quadratic modeling of selected stages of the lactate minimum test. J Strength Cond Res 221073-1080, 2008-In this study, we compared the maximal lactate steady state (MLSS) with lactate minimal (LM) intensities determined visually and through a quadratic polynomial function of selected stages of LM test. Eleven male recreational cyclists (27.7 ± 4.5 years, 175.7 ± 5.6 cm, 69.5 ± 10.8 kg, and 12.0 ± 5.5% body fat) performed one LM test under previous induction of hyperlactaemia with an initial intensity of 75 W with 30-W increments every 3 minutes with blood lactate concentration (HLa) and rating of perceived exertion (RPE) measurements. The LM intensity was determined visually (VLM) and by modeling the lactate response through polynomial function by using1) all stages (LMP); 2) the first stage, the stage corresponding to RPE-13 and the last stage/exhaustion (LMP3max); 3) the three lowest lactate concentration stages (LMP3adj); and 4) the initial, RPE-13, and RPE-16 stages (LMP3sub). The MLSS was determined as the highest intensity at a variation not greater than 0.05 mmol·l·min of HLa during the last 20 minutes of a 30-minute exercise session. The MLSS (204.0 ± 16.0 W), VLM (198.6 ± 15.2 W), LMP3adj (190.4 ± 12.9 W), and LMP3sub (192.1 ± 27.2 W) were not different, well correlated, and in agreement to each other. In conclusion, the polynomial modeling of HLa response to three submaximal stages produced exercise intensities that did not differ from MLSS.