Literature DB >> 24469736

Cardiac acceleration at the onset of exercise: a potential parameter for monitoring progress during physical training in sports and rehabilitation.

Florentina J Hettinga1, Paul G Monden, Nico L U van Meeteren, Hein A M Daanen.   

Abstract

There is a need for easy-to-use methods to assess training progress in sports and rehabilitation research. The present review investigated whether cardiac acceleration at the onset of physical exercise (HRonset) can be used as a monitoring variable. The digital databases of Scopus and PubMed were searched to retrieve studies investigating HRonset. In total 652 studies were retrieved. These articles were then classified as having emphasis on HRonset in a sports or rehabilitation setting, which resulted in 8 of 112 studies with a sports application and 6 of 68 studies with a rehabilitation application that met inclusion criteria. Two co-existing mechanisms underlie HRonset: feedforward (central command) and feedback (mechanoreflex, metaboreflex, baroreflex) control. A number of studies investigated HRonset during the first few seconds of exercise (HRonsetshort), in which central command and the mechanoreflex determine vagal withdrawal, the major mechanism by which heart rate (HR) increases. In subsequent sports and rehabilitation studies, interest focused on HRonset during dynamic exercise over a longer period of time (HRonsetlong). Central command, mechanoreflexes, baroreflexes, and possibly metaboreflexes contribute to HRonset during the first seconds and minutes of exercise, which in turn leads to further vagal withdrawal and an increase in sympathetic activity. HRonset has been described as the increase in HR compared with resting state (delta HR) or by exponential modeling, with measurement intervals ranging from 0-4 s up to 2 min. Delta HR was used to evaluate HRonsetshort over the first 4 s of exercise, as well as for analyzing HRonsetlong. In exponential modeling, the HR response to dynamic exercise is biphasic, consisting of fast (parasympathetic, 0-10 s) and slow (sympathetic, 1-4 min) components. Although available studies differed largely in measurement protocols, cross-sectional and longitudinal training studies showed that studies analyzing HRonset in relation to physical training primarily incorporated HRonsetlong. HRonsetlong slowed in athletes as well as in patients with a coronary disease, who have a relatively fast HRonsetlong. It is advised to include both HRonsetlong and HRonsetshort in further studies. The findings of this review suggest that HRonset is a potential tool for monitoring and titrating training in sports as well as in rehabilitation settings, particularly in patients with ventricular fibrillation. Monitoring HRonset in the early phase of training can help optimize the effectiveness of training and therapy. More research is needed to gain a better understanding of the mechanisms underlying HRonset in relation to their application in sports and rehabilitation settings.

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Year:  2014        PMID: 24469736     DOI: 10.1007/s40279-013-0141-y

Source DB:  PubMed          Journal:  Sports Med        ISSN: 0112-1642            Impact factor:   11.136


  57 in total

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3.  Training-related changes in the R-R interval at the onset of passive movements in humans.

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4.  Effect of muscle mass on muscle mechanoreflex-mediated heart rate increase at the onset of dynamic exercise.

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Journal:  Med Sci Sports Exerc       Date:  1994-06       Impact factor: 5.411

Review 8.  The role of heart rate variability in prognosis for different modes of death in chronic heart failure.

Authors:  Gavin Richard H Sandercock; David A Brodie
Journal:  Pacing Clin Electrophysiol       Date:  2006-08       Impact factor: 1.976

9.  American College of Sports Medicine position stand. Quantity and quality of exercise for developing and maintaining cardiorespiratory, musculoskeletal, and neuromotor fitness in apparently healthy adults: guidance for prescribing exercise.

Authors:  Carol Ewing Garber; Bryan Blissmer; Michael R Deschenes; Barry A Franklin; Michael J Lamonte; I-Min Lee; David C Nieman; David P Swain
Journal:  Med Sci Sports Exerc       Date:  2011-07       Impact factor: 5.411

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Authors:  Bruno H Knöpfli; Oded Bar-Or; Claudio G S Araújo
Journal:  Med Sci Sports Exerc       Date:  2005-03       Impact factor: 5.411

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Review 2.  Categorization and theoretical comparison of quantitative methods for assessing QT/RR hysteresis.

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3.  4-Second Exercise Test: Reference Values for Ages 18-81 Years.

Authors:  Claudio Gil Araújo; Claudia Lucia Barros de Castro; João Felipe Franca; Plínio Santos Ramos
Journal:  Arq Bras Cardiol       Date:  2015-03-27       Impact factor: 2.000

4.  Light exercise heart rate on-kinetics: a comparison of data fitted with sigmoidal and exponential functions and the impact of fitness and exercise intensity.

Authors:  Karl M Trounson; Spencer Roberts; Aaron Balloch; Stuart A Warmington
Journal:  Physiol Rep       Date:  2017-06

5.  Heart Rate Monitoring in Team Sports-A Conceptual Framework for Contextualizing Heart Rate Measures for Training and Recovery Prescription.

Authors:  Christoph Schneider; Florian Hanakam; Thimo Wiewelhove; Alexander Döweling; Michael Kellmann; Tim Meyer; Mark Pfeiffer; Alexander Ferrauti
Journal:  Front Physiol       Date:  2018-05-31       Impact factor: 4.566

  5 in total

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