Detecting mechanical breakpoints during treadmill-based graded exercise test: Relationships to ventilatory thresholds

ABSTRACT

Background: While changes in cardio-respiratory variables during graded exercise tests (GXTs) are well described, less is known about running mechanical alterations. Purpose: We determined mechanical breakpoints during GXT and compared their temporal location with thresholds in ventilation. Methods: Thirty-one recreational male runners completed continuous GXT on an instrumented treadmill, starting at 2.5 m.s⁻¹ with velocity increases of +0.14 m.s⁻¹ every 30 s. Subsequently, the first and second ventilatory thresholds (VT1 and VT2) were determined from expired gases. Spatio-temporal and antero-posterior force variables, and spring-mass model characteristics were averaged for each stage. Mechanical breakpoints were detected using a linear fit process that partitioned the timeseries into two regions and minimised the error sum of squares. All measurements were normalised to % GXT duration for subsequent comparisons. Results: Fifteen out of 16 mechanical variables (all except leg stiffness) displayed breakpoints occurring between 61.9% and 82.3% of GXT duration; these occurred significantly later than VT1 (46.9 ± 6.4% of GXT duration, p < .05). Mechanical breakpoints for eight variables (step frequency, aerial time, step length, peak push-off force, braking impulse, peak vertical force, maximal downward vertical displacement and leg compression) occurred at a time point not different to VT2 (75.3 ± 6.2% of GXT duration; all p > .05). Relationships between mechanical breakpoints and either VT1 or VT2 were weak (all r < 0.25). Conclusion: During treadmill GXT, breakpoints can be detected for the vast majority of mechanical variables (except leg stiffness), yet these are not related with ventilatory thresholds.

KEYWORDS:

• Running mechanics
• graded exercise test
• breakpoint
• instrumented treadmill

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work is based on research funded by QNRF (NPRP 4–760 – 3–217).