Bayesian Analysis of the HR–VO 2 Relationship during Cycling and Running in Males and Females

Pat R. Vehrs (), Nicole D. Tafuna’i and Gilbert W. Fellingham
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Pat R. Vehrs: Department of Exercise Sciences, Brigham Young University, Provo, UT 84602, USA
Nicole D. Tafuna’i: Department of Exercise Sciences, Brigham Young University, Provo, UT 84602, USA
Gilbert W. Fellingham: Department of Statistics, Brigham Young University, Provo, UT 84602, USA

IJERPH, 2022, vol. 19, issue 24, 1-12

Abstract: Professional organizations advise prescribing intensity of aerobic exercise using heart rate reserve (%HRR) which is presumed to have a 1:1 relationship with either maximal oxygen uptake (%VO 2 max) or %VO 2 reserve (%VO 2 R). Even though running and cycling are popular modes of training, these relationships have not been investigated in a group of males and females during both running and cycling. This study evaluated the %HRR-%VO 2 max and %HRR–%VO 2 R relationships in 41 college-aged males ( n = 21) and females ( n = 20) during treadmill running and cycling. Heart rate (HR) and VO 2 data were collected at rest and during maximal exercise tests on a treadmill and cycle ergometer. The HR and VO 2 data were analyzed using a Bayesian approach. Both the %HRR-%VO 2 max and %HRR–%VO 2 R relationships did not coincide with the line of identity in males and females in both treadmill running and cycling. %HRR was closer to %VO 2 max than to %VO 2 R. There were no significant differences in the intercepts of the %HRR–%VO 2 max and %HRR–%VO 2 R relationships between males and females during running or cycling, or between running and cycling in males or females. The credible intervals of the intercepts and slopes suggest interindividual variability in the HR–VO 2 relationship that would yield significant error in the prescription of intensity of aerobic exercise for an individual.

Keywords: exercise prescription; Karvonen heart rate; exercise intensity; oxygen uptake (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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