Literature DB >> 32730176

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

Thomas Beltrame1,2, Mariana Oliveira Gois1, Uwe Hoffmann3, Jessica Koschate4, Richard Lee Hughson5, Maria Cecília Moraes Frade1, Stephanie Nogueira Linares1, Ricardo da Silva Torres6, Aparecida Maria Catai1.   

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.

Entities:  

Keywords:  cardiorespiratory fitness; exercise; oxygen consumption; oxygen uptake kinetics

Mesh:

Year:  2020        PMID: 32730176     DOI: 10.1152/japplphysiol.00310.2020

Source DB:  PubMed          Journal:  J Appl Physiol (1985)        ISSN: 0161-7567


  3 in total

1.  Cardiorespiratory kinetics in exercise physiology: estimates and predictions using randomized changes in work rate.

Authors:  Uwe Hoffmann; Felix Faber; Uwe Drescher; Jessica Koschate
Journal:  Eur J Appl Physiol       Date:  2021-12-28       Impact factor: 3.078

2.  Sentinel fall presenting to the emergency department (SeFallED) - protocol of a complex study including long-term observation of functional trajectories after a fall, exploration of specific fall risk factors, and patients' views on falls prevention.

Authors:  Tim Stuckenschneider; Jessica Koschate; Ellen Dunker; Nadja Reeck; Michel Hackbarth; Sandra Hellmers; Robert Kwiecien; Sandra Lau; Anna Levke Brütt; Andreas Hein; Tania Zieschang
Journal:  BMC Geriatr       Date:  2022-07-18       Impact factor: 4.070

3.  Longitudinal assessment of cardiorespiratory fitness and body mass of young healthy adults during COVID-19 pandemic.

Authors:  Eric T Hedge; Richard L Hughson
Journal:  J Appl Physiol (1985)       Date:  2022-08-02
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.