Non-exhaustive double effort test is reliable and estimates the first ventilatory threshold intensity in running exercise

PURPOSE: The present study aimed to investigate the reliability of the non-exhaustive double effort (NEDE) test in running exercise and its associations with the ventilatory thresholds (VT(1) and VT(2)) and the maximal lactate steady state (MLSS). METHODS: Ten healthy male adults (age: 23 ± 4 years, height: 176.6 ± 6.4 cm, body mass: 76.6 ± 10.7 kg) performed 4 procedures: (1) a ramp test for VT(1) and VT(2) determinations measured by ratio of expired ventilation to O(2) uptake (VE/VO(2)) and expired ventilation to CO(2) output (VE/VCO(2)) equivalents, respectively; (2) the NEDE test measured by blood lactate concentration (NEDE(LAC)) and heart rate responses (NEDE(HR)); (3) a retest of NEDE for reliability analysis; and (4) continuous efforts to determine the MLSS intensity. The NEDE test consisted of 4 sessions at different running intensities. Each session was characterized by double efforts at the same running velocity (E1 and E2, 180 s), separated by a passive recovery period (90 s rest). LAC and HR values after E1 and E2 (in 4 sessions) were used to estimate the intensity equivalent to “null delta” by linear fit. This parameter represents, theoretically, the intensity equivalent to maximal aerobic capacity. RESULTS: The intraclass correlation coefficient indicated significant reliability for NEDE(LAC) (0.93) and NEDE(HR) (0.79) (both p < 0.05). There were significant correlations, no differences, and strong agreement with the intensities predicted by NEDE(LAC) (10.1 ± 1.9 km/h) and NEDE(HR) (9.8 ± 2.0 km/h) to VT(1) (10.2 ± 1.1 km/h). In addition, despite significantly lower MLSS intensity (12.2 ± 1.2 km/h), NEDE(LAC) and NEDE(HR) intensities were highly correlated with this parameter (0.90 and 0.88, respectively). CONCLUSION: The NEDE test applied to running exercise is reliable and estimates the VT(1) intensity. Additionally, NEDE intensities were lower but still correlated with VT(2) and MLSS.