Literature DB >> 25471271

Autonomic modulations of heart rate variability and performances in short-distance elite swimmers.

Giampiero Merati1, Martina Anna Maggioni, Pietro Luigi Invernizzi, Claudio Ciapparelli, Luca Agnello, Arsenio Veicsteinas, Paolo Castiglioni.   

Abstract

PURPOSE: Endurance exercise is associated with high cardiac vagal tone, but how the cardiac autonomic control correlates with shorter anaerobic performances is unknown. Therefore, the aim of this study was to evaluate how autonomic modulations of heart rate (HR) variability (V) correlate with performances of short- (<1 min) and very short (<30 s) duration in elite athletes.
METHOD: Thirteen male swimmers, national-level crawl specialists in short (100-m) and very short (50-m) distances, were enrolled. HR was recorded during 15-min supine rest: (1) in the morning after wake up, (2) in the afternoon before sprint-oriented training sessions, (3) few minutes after training (first recovery phase after swimming cooldown). Heart rate variability (HRV) vagal and sympatho/vagal indices were calculated in time, frequency and complexity domains. Correlations of best seasonal times on 100- or 50-m distances with HRV indices and the velocity at blood lactate accumulation onset (V OBLA) were calculated. RESULTS AND
CONCLUSION: Vagal indices were highest in the morning where they positively correlated with very short-distance times (higher the index, worse is the 50-m performance). Sympatho/vagal indices were highest after training where they negatively correlated with short-distance times (higher the index, better is the 100-m performance). V OBLA did not correlate with the performances. Therefore, autonomic HRV indices and not V OBLA predict short and very short, most anaerobic, performances. Results also suggest that a strong cardiac vagal control has no effect on short performances and is even detrimental to very short performances, and that the capacity to powerfully increase the sympathetic tone during exercise may improve short, but not very short performances.

Entities:  

Mesh:

Year:  2014        PMID: 25471271     DOI: 10.1007/s00421-014-3064-x

Source DB:  PubMed          Journal:  Eur J Appl Physiol        ISSN: 1439-6319            Impact factor:   3.078


  39 in total

1.  Physiological time-series analysis using approximate entropy and sample entropy.

Authors:  J S Richman; J R Moorman
Journal:  Am J Physiol Heart Circ Physiol       Date:  2000-06       Impact factor: 4.733

2.  Effects of pharmacological adrenergic and vagal modulation on fractal heart rate dynamics.

Authors:  M P Tulppo; T H Mäkikallio; T Seppänen; K Shoemaker; E Tutungi; R L Hughson; H V Huikuri
Journal:  Clin Physiol       Date:  2001-09

3.  Neural regulation of heart rate variability in endurance athletes and sedentary controls.

Authors:  E M Dixon; M V Kamath; N McCartney; E L Fallen
Journal:  Cardiovasc Res       Date:  1992-07       Impact factor: 10.787

Review 4.  Training for intense exercise performance: high-intensity or high-volume training?

Authors:  P B Laursen
Journal:  Scand J Med Sci Sports       Date:  2010-10       Impact factor: 4.221

5.  Heart rate variability and performance at two different altitudes in well-trained swimmers.

Authors:  L Schmitt; P Hellard; G P Millet; B Roels; J P Richalet; J P Fouillot
Journal:  Int J Sports Med       Date:  2006-03       Impact factor: 3.118

6.  Progressive decrease of heart period variability entropy-based complexity during graded head-up tilt.

Authors:  Alberto Porta; Tomaso Gnecchi-Ruscone; Eleonora Tobaldini; Stefano Guzzetti; Raffaello Furlan; Nicola Montano
Journal:  J Appl Physiol (1985)       Date:  2007-06-14

Review 7.  Heart rate variability in athletes.

Authors:  André E Aubert; Bert Seps; Frank Beckers
Journal:  Sports Med       Date:  2003       Impact factor: 11.136

8.  Assessing the fractal structure of heart rate by the temporal spectrum of scale exponents: a new approach for detrended fluctuation analysis of heart rate variability.

Authors:  Paolo Castiglioni; Gianfranco Parati; Carolina Lombardi; Luc Quintin; Marco Di Rienzo
Journal:  Biomed Tech (Berl)       Date:  2011-05-16       Impact factor: 1.411

9.  Components of heart rate variability measured during healing of acute myocardial infarction.

Authors:  J T Bigger; R E Kleiger; J L Fleiss; L M Rolnitzky; R C Steinman; J P Miller
Journal:  Am J Cardiol       Date:  1988-02-01       Impact factor: 2.778

10.  Interaction between age and aerobic fitness in determining heart rate dynamics.

Authors:  M A McNarry; M J Lewis
Journal:  Physiol Meas       Date:  2012-05-03       Impact factor: 2.833

View more
  5 in total

1.  Discriminating between two autonomic profiles related to posture in Olympic athletes.

Authors:  Roberto Sala; Antonio Spataro; Mara Malacarne; Chiara Vigo; Stefano Tamorri; Manuela Benzi; Daniela Lucini
Journal:  Eur J Appl Physiol       Date:  2016-02-12       Impact factor: 3.078

2.  Comparison of Classical Kinematics, Entropy, and Fractal Properties As Measures of Complexity of the Motor System in Swimming.

Authors:  Tiago M Barbosa; Wan X Goh; Jorge E Morais; Mário J Costa; David Pendergast
Journal:  Front Psychol       Date:  2016-10-07

3.  Hemodynamic and Autonomic Response to Different Salt Intakes in Normotensive Individuals.

Authors:  Paolo Castiglioni; Gianfranco Parati; Davide Lazzeroni; Matteo Bini; Andrea Faini; Lorenzo Brambilla; Valerio Brambilla; Paolo Coruzzi
Journal:  J Am Heart Assoc       Date:  2016-08-08       Impact factor: 5.501

4.  Cardiac Autonomic Modulations and Psychological Correlates in the Yukon Arctic Ultra: The Longest and the Coldest Ultramarathon.

Authors:  Lea C Rundfeldt; Martina A Maggioni; Robert H Coker; Hanns-Christian Gunga; Alain Riveros-Rivera; Adriane Schalt; Mathias Steinach
Journal:  Front Physiol       Date:  2018-02-12       Impact factor: 4.566

5.  Heart Rate Variability Responses to a Training Cycle in Female Youth Rowers.

Authors:  Rohan Edmonds; Julian Egan-Shuttler; Stephen J Ives
Journal:  Int J Environ Res Public Health       Date:  2020-11-13       Impact factor: 3.390

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.