PDF herunterladen
Int J Sports Med 2020; 41(08): 512-519
DOI: 10.1055/a-1114-6297
Training & Testing

Reproducibility of Heart Rate Variability Indices at Post-maximal Exercise

Jaqueline Alves Araújo
1   Physical Education, Universidade Federal de Mato Grosso, Cuiabá, Brazil
,
Tiago Peçanha 
2   Applied Physiology & Nutrition Research Group, School of Physical Educaton and Sport, Rheumatology Division, Faculdade de Medicina, Universidade de São Paulo, Sao Paulo, Brazil
,
Fabiula Isoton Novelli
1   Physical Education, Universidade Federal de Mato Grosso, Cuiabá, Brazil
,
César Siqueira Aleixes Mello
1   Physical Education, Universidade Federal de Mato Grosso, Cuiabá, Brazil
,
Daniel Moreira-Gonçalves 
3   Faculdade de Desporto - FADEUP, Universidade do Porto, Porto, Portugal
,
Gisela Arsa 
1   Physical Education, Universidade Federal de Mato Grosso, Cuiabá, Brazil
,
Lucieli Teresa Cambri 
1   Physical Education, Universidade Federal de Mato Grosso, Cuiabá, Brazil
› InstitutsangabenThis work was supported by Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq -Process 434695 /2018-1), the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) - Finance Code 001 and Secretaria de relações internacionais (SECRI/UFMT).
› Weitere Informationen
Auch verfügbar auf
    Lizenzen und Reprints

Originalartikel zu diesem Erratum:

Correction: Reproducibility of Heart Rate Variability Indices at Post-maximal ExerciseInt J Sports Med 2020; 41(14): e11-e11
DOI: 10.1055/a-1145-8423

Abstract

To analyze whether heart rate variability is reproducible after maximal exercise, 11 men (22.1±3.2 years) performed four incremental exercise tests followed by passive or active recovery. There was high reliability (intraclass coefficient correlation: 0.72–0.96) and fair-to-excellent agreement (coefficient of variation: 7.81–22.09%) in passive recovery, as well as moderate-to-high reliability (intraclass coefficient correlation: 0.50–0.87) and good agreement (coefficient of variation: 11.08–20.89%) in active recovery for LnRMSSD index. There was moderate-to-high reliability (intraclass coefficient correlation: 0.51–0.81) and good agreement (coefficient of variation: 10.41–18.87%) in most of the analyzed time points, in both recovery types for LnSDNN. In both types of recovery, the time domain heart rate variability 5–10 min indices (passive: intraclass coefficient correlation : 0.87–0.88; coefficient of variation: 7.67–13.44%; active: intraclass coefficient correlation 0.59–0.80; coefficient of variation: 14.62–16.26%) presented higher intraclass coefficient correlation and lower coefficient of variation than the spectral heart rate variability indices (passive: intraclass coefficient correlation: 0.71–0.87; coefficient of variation: 12.33–34.21%; active: intraclass coefficient correlation: 0.46–0.77; coefficient of variation: 24.41–105.12%). The LnRMSSD and LnSDNN indices analyzed in 30 s segments and the heart rate variability 5–10 min indices after maximal exercise in untrained healthy men showed satisfactory reproducibility, regardless of the type of recovery, with the time-domain indices showing higher reproducibility than the frequency-domain indices.

Key words

reliability - agreement - autonomic nervous system - cardiac autonomic modulation - vagal reactivation - passive recovery


Publikationsverlauf

Eingereicht: 00. 00 2020

Angenommen: 15. Januar 2020

Artikel online veröffentlicht:
11. März 2020

© Georg Thieme Verlag KG
Stuttgart · New York

 

  • References

  • 1 Task Force otESoC Heart rate variability: standards of measurement, physiological interpretation, and clinical use. Eur Heart J 1996; 17: 354-381
    CrossrefPubMedSuche in Google Scholar
  • 2 Peçanha T, Bartels R, Brito LC. et al. Methods of assessment of the post-exercise cardiac autonomic recovery: A methodological review. Int J Cardiol 2017; 227: 795-802
    CrossrefPubMedSuche in Google Scholar
  • 3 Goldberger JJ, Le FK, Lahiri M. et al. Assessment of parasympathetic reactivation after exercise. Am J Physiol Heart Circ Physiol 2006; 290: H2446-H2452
    CrossrefPubMedSuche in Google Scholar
  • 4 Lahiri MK, Chicos A, Bergner D. et al. Recovery of heart rate variability and ventricular repolarization indices following exercise. Ann Noninvasive Electrocardiol 2012; 17: 349-360
    CrossrefPubMedSuche in Google Scholar
  • 5 Peçanha T, Brito LC, Fecchio RY. et al. Metaboreflex activation delays heart rate recovery after aerobic exercise in never-treated hypertensive men. J Physiol 2016; 594: 6211-6223
    CrossrefPubMedSuche in Google Scholar
  • 6 Prado D, Silva A, Trombetta I. et al. Exercise training associated with diet improves heart rate recovery and cardiac autonomic nervous system activity in obese children. Int J Sports Med 2010; 31: 860-865
    Thieme ConnectPubMedSuche in Google Scholar
  • 7 Dupuy O, Mekary S, Berryman N. et al. Reliability of heart rate measures used to assess post-exercise parasympathetic reactivation. Clin Physiol Funct Imaging 2012; 32: 296-304
    CrossrefPubMedSuche in Google Scholar
  • 8 McNarry MA, Mackintosh KA. Reproducibility of heart rate variability indices in children with cystic fibrosis. PLoS One 2016; 11: e0151464
    CrossrefPubMedSuche in Google Scholar
  • 9 Novelli FI, de Araújo JA, Tolazzi GJ. et al. Reproducibility of heart rate variability threshold in untrained individuals. Int J Sports Med 2019; 40: 95-99
    Thieme ConnectPubMedSuche in Google Scholar
  • 10 Al Haddad H, Laursen P, Chollet D. et al. Reliability of resting and postexercise heart rate measures. Int J Sports Med 2011; 32: 598-605
    Thieme ConnectPubMedSuche in Google Scholar
  • 11 Boullosa D, Barros E, Del Rosso S. et al. Reliability of heart rate measures during walking before and after running maximal efforts. Int J Sports Med 2014; 35: 999-1005
    Thieme ConnectPubMedSuche in Google Scholar
  • 12 Billman GE. The LF/HF ratio does not accurately measure cardiac sympatho-vagal balance. Front Physiol 2013; 4: 26
    CrossrefPubMedSuche in Google Scholar
  • 13 Goldstein DS, Bentho O, Park MY. et al. Low-frequency power of heart rate variability is not a measure of cardiac sympathetic tone but may be a measure of modulation of cardiac autonomic outflows by baroreflexes. Exp Physiol 2011; 96: 1255-1261
    CrossrefPubMedSuche in Google Scholar
  • 14 Penttilä J, Helminen A, Jartti T. et al. Time domain, geometrical and frequency domain analysis of cardiac vagal outflow: effects of various respiratory patterns. Clin Physiol 2001; 21: 365-376
    CrossrefPubMedSuche in Google Scholar
  • 15 Michael S, Jay O, Graham KS. et al. Higher exercise intensity delays postexercise recovery of impedance-derived cardiac sympathetic activity. Appl Physiol Nutr Metab 2017; 42: 834-840
    CrossrefPubMedSuche in Google Scholar
  • 16 Michael S, Jay O, Halaki M. et al. Submaximal exercise intensity modulates acute post-exercise heart rate variability. Eur J Appl Physiol 2016; 116: 697-706
    CrossrefPubMedSuche in Google Scholar
  • 17 Rezende DAN AJ, Queiroz MG, Arsa G. et al. Cardiac autonomic modulation post-maximal incremental exercise is not influenced by body mass index in young adult men. Sport Sci Health 2019; 15: 311-317
    CrossrefPubMedSuche in Google Scholar
  • 18 Medeiros AR, del Rosso S, Leicht AS. et al. Methods of assessment of the post-exercise cardiac autonomic recovery: Additional important factors to be considered. Int J Cardiol 2017; 239: 23
    CrossrefPubMedSuche in Google Scholar
  • 19 Hopkins WG. Measures of reliability in sports medicine and science. Sports Med 2000; 30: 1-15
    CrossrefPubMedSuche in Google Scholar
  • 20 IPAQ. The international physical activity questionnaire; Stand: https://www.ipaq.ki.se
    PubMed
  • 21 Harriss DJ, Macsween A, Atkinson G. Ethical standards in sport and exercise science research: 2020 update. Int J Sports Med 2019; 40: 813-817
    Thieme ConnectPubMedSuche in Google Scholar
  • 22 Brito L, Peçanha T, Tinucci T. et al. Time of day affects heart rate recovery and variability after maximal exercise in pre-hypertensive men. Chronobiol Int 2015; 32: 1385-1390
    CrossrefPubMedSuche in Google Scholar
  • 23 Fang Y, Sun J-T, Li C. et al. Effect of different breathing patterns on nonlinearity of heart rate variability. 30th Conf Proc IEEE Eng Med Biol Soc 2008; 2008: 3220-3223
    PubMedSuche in Google Scholar
  • 24 Tarvainen MP, Niskanen J-P, Lipponen JA. et al. Kubios HRV-heart rate variability analysis software. Comput Methods Programs Biomed 2014; 113: 210-220
    CrossrefPubMedSuche in Google Scholar
  • 25 Malik M. Components of heart rate variability-what they really mean and what we really measure. Am J Cardiol 1993; 72: 821-822
    CrossrefPubMedSuche in Google Scholar
  • 26 Atkinson G, Nevill AM. Statistical methods for assessing measurement error (reliability) in variables relevant to sports medicine. Sports Med 1998; 26: 217-238
    CrossrefPubMedSuche in Google Scholar
  • 27 Rosner B. Fundamentals of Biostatistics. 7th ed. Boston: Brooks/Cole, Cengage Learning; 2011
    Suche in Google Scholar
  • 28 Weir JP. Quantifying test-retest reliability using the intraclass correlation coefficient and the SEM. J Strength Cond Res 2005; 19: 231-240
    PubMedSuche in Google Scholar
  • 29 Morshedi-Meibodi A, Larson MG, Levy D. et al. Heart rate recovery after treadmill exercise testing and risk of cardiovascular disease events (The Framingham Heart Study). Am J Cardiol 2002; 90: 848-852
    CrossrefPubMedSuche in Google Scholar
  • 30 Cole CR, Blackstone EH, Pashkow FJ. et al. Heart-rate recovery immediately after exercise as a predictor of mortality. N Engl J Med 1999; 341: 1351-1357
    CrossrefPubMedSuche in Google Scholar
  • 31 Carter R, Watenpaugh DE, Wasmund WL. et al. Muscle pump and central command during recovery from exercise in humans. J Appl Physiol (1985) 1999; 87: 1463-1469
    CrossrefPubMedSuche in Google Scholar
  • 32 Krediet CP, Wilde AA, Wieling W. et al. Exercise related syncope, when it’s not the heart. Clin Auton Res 2004; 14: i25-i36
    CrossrefPubMedSuche in Google Scholar
  • 33 Peçanha T, Silva-Júnior ND, Forjaz CLdM. Heart rate recovery: Autonomic determinants, methods of assessment and association with mortality and cardiovascular diseases. Clin Physiol Funct Imaging 2014; 34: 327-339
    CrossrefPubMedSuche in Google Scholar
  • 34 Brown TE, Beightol LA, Koh J. et al. Important influence of respiration on human RR interval power spectra is largely ignored. J Appl Physiol (1985) 1993; 75: 2310-2317
    CrossrefPubMedSuche in Google Scholar