Improved Detection of Lactate Threshold During Exercise Using a Log-Log Transformation
Beaver, Wasserman & Whipp studied the pattern of arterial lactate increase during incremental exercise using a log-log transformation: plotting log([La⁻]) against log(VO2).
On this plot the data show a phase of very slow increase followed by a phase of rapid increase, and both phases are linear, so linear regression can locate the transition between them — the lactate threshold.
On a semilog plot (log[La⁻] vs VO2) the transition point fell at a lower VO2; considering all their data, the authors conclude the log-log transformation gives the more accurate result. Lactate shows a small but significant increase before the transition, and beyond it rises with a power law with an exponent of about 2.9.
Arterial lactate therefore exhibits genuine threshold behaviour during incremental tests: an abrupt transition from slow to rapidly accelerating increase.
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How this entry was checked and changed
regraded 2026-09-27 from A: method-development/validation study on incremental-test data, no performance outcome, sample size not stated in the abstract