Relationship between maximal aerobic power with aerobic fitness as a function of signal-to-noise ratio.
Thomas BeltrameMariana Oliveira GoisUwe HoffmannJessica KoschateRichard Lee HughsonMaria Cecília Moraes FradeStephanie Nogueira LinaresRicardo da Silva TorresAparecida Maria CataiPublished in: Journal of applied physiology (Bethesda, Md. : 1985) (2020)
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.
Keyphrases
- high intensity
- resistance training
- public health
- physical activity
- body composition
- healthcare
- mental health
- heart rate
- machine learning
- computed tomography
- artificial intelligence
- electronic health record
- risk assessment
- deep learning
- health promotion
- current status
- data analysis
- global health
- diffusion weighted imaging