Abstract
This study examined the validity of a quantitative respiratory frequency (f
R) analysis to detect the ventilatory threshold (ΘVent) and respiratory compensation point (RCP). Thirty-six amateur competitive cyclists
completed a maximal graded exercise test on an electromagnetically-braked cycle ergometer.
ΘVent and RCP were determined using multiple gas exchange criteria and by f
R analysis (ΘVent
f
R and RCPf
R), employing an iterative least-squares linear regression technique. Fifteen subjects
were excluded from the analyses due to a low signal-to-noise ratio and/or high risk
for pseudo-threshold resulting from hyperventilation early in the exercise protocol.
A Bland-Altman procedure for inter-analysis comparison completed on the remaining
participants’ data (n=21; age=29±7 years; height=177±9 cm; weight=76.0±15.8 kg; V˙O2max=4.415±0.971 l min−1; 58.7±10.7 ml kg−1 min−1) revealed mean bias±95% Limits of Agreement (LOA) of 1.53±50.2 W for ΘVent and ΘVent
f
R. The same inter-anlysis comparison (n=21) for RCP and RCPf
R resulted in a mean bias±LOA of 12.6±26.9 W. The analysis techniques in the present
investigation revealed substantial limits of agreement and/or bias for all estimations,
and these data indicated f
R analyses were unsatisfactory to determine ΘVent and RCP in trained cyclists.
Key words
ventilation frequency - respiratory rate - lactate threshold
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Correspondence
D. T. Cannon
Institute of Membrane and Systems Biology
Faculty of Biological Sciences
9.52 Worsley Building
University of Leeds
LS2 9JT
United Kingdom
Phone: +44(0)/113/343 16 69
Email: d.t.cannon08@leeds.ac.uk
