Relationship between maximal aerobic power with aerobic fitness as a function of signal-to-noise ratio

Author(s)

Beltrame, Thomas ^{[1, 2]} ; Gois, Mariana Oliveira ^[1] ; Hoffmann, Uwe ^[3] ; Koschate, Jessica ^[4] ; Hughson, Richard Lee ^[5] ; Moraes Frade, Maria Cecilia ^[1] ; Linares, Stephanie Nogueira ^[1] ; Torres, Ricardo da Silva ^[6] ; Catai, Aparecida Maria ^[1]

Affiliation

^[1] Univ Fed Sao Carlos, Dept Phys Therapy, Sao Carlos, SP - Brazil

^[2] Univ Ibirapuera, Sao Paulo, SP - Brazil

^[3] German Sport Univ Cologne, Cologne - Germany

^[4] Carl von Ossietzky Univ Oldenburg, Geriatr Med, Oldenburg - Germany

^[5] Univ Waterloo, Schlegel Univ Waterloo Res Inst Aging, Waterloo, ON - Canada

^[6] NTNU Norwegian Univ Sci & Technol, Fac Informat Technol & Elect Engn, Dept Informat & Commun Technol ICT & Nat Sci, Alesund - Norway

• Document type: Journal article
• Source: Journal of Applied Physiology; v. 129, n. 3, p. 522-532, SEP 2020.
• Web of Science Citations: 0

Abstract

Efforts to better understand cardiorespiratory health are relevant for the future development of optimized physical activity programs. We aimed to explore the impact of the signal quality on the expected associations between the ability of the aerobic system in supplying energy as fast as possible during moderate exercise transitions with its maximum capacity to supply energy during maximal exertion. It was hypothesized that a slower aerobic system response during moderate exercise transitions is associated with a lower maximal aerobic power; however, this relationship relies on the quality of the oxygen uptake data set. Forty-three apparently healthy participants performed a moderate constant work rate (CWR) followed by a pseudorandom binary sequence (PRBS) exercise protocol on a cycle ergometer. Participants also performed a maximum incremental cardiopulmonary exercise testing (CPET). The maximal aerobic power was evaluated by the peak oxygen uptake during the CPET, and the aerobic fitness was estimated from different approaches for oxygen uptake dynamics analysis during the CWR and PRBS protocols at different levels of signal-to-noise ratio. The product moment correlation coefficient was used to evaluate the correlation level between variables. Aerobic fitness was correlated with maximum aerobic power, but this correlation increased as a function of the signal-to-noise ratio. Aerobic fitness is related to maximal aerobic power; however, this association appeared to be highly dependent on the data quality and analysis for aerobic fitness evaluation. Our results show that simpler moderate exercise protocols might be as good as maximal exertion exercise protocols to obtain indexes related to cardiorespiratory health. NEW \& NOTEWORTHY Optimized methods for cardiorespiratory health evaluation are of great interest for public health. Moderate exercise protocols might be as good as maximum exertion exercise protocols to evaluate cardiorespiratory health. Pseudorandom or constant workload moderate exercise can be used to evaluate cardiorespiratory health. (AU)

• FAPESP's process: 18/19016-8 - Associations between aerobic power and fitness
• Grantee: Thomas Beltrame
• Support Opportunities: Scholarships abroad - Research Internship - Post-doctor
• FAPESP's process: 16/22215-7 - Impact of inspiratory muscle training and aging on metabolic mapping, autonomic modulation, and cardiovascular, respiratory and metabolic responses, and prediction of cardiorespiratory health through wearables
• Grantee: Aparecida Maria Catai
• Support Opportunities: Research Projects - Thematic Grants
• FAPESP's process: 17/09639-5 - Exploring machine learning techniques for aerobic system analysis with applicability for cardiorespiratory rehabilitation programs
• Grantee: Thomas Beltrame
• Support Opportunities: Scholarships in Brazil - Post-Doctoral