Non-linear heart rate variability is sensitive to exercise duration but not indicative of acute performance decrement

Altman DG, Bland JM (1983) Measurement in medicine: the analysis of method comparison studies. Statistician 32(3):307. https://doi.org/10.2307/2987937

Article  Google Scholar 

Beaver WL, Wasserman K, Whipp BJ (1986) A new method for detecting anaerobic threshold by gas exchange. J Appl Physiol (Bethesda, Md.:1985) 60(6):2020–2027. https://doi.org/10.1152/JAPPL.1986.60.6.2020

Article  CAS  Google Scholar 

Binder RK, Wonisch M, Corra U, Cohen-Solal A, Vanhees L, Saner H, Schmid JP (2008) Methodological approach to the first and second lactate threshold in incremental cardiopulmonary exercise testing. Eur J Prev Cardiol 15(6):726–734. https://doi.org/10.1097/HJR.0b013e328304fed4

Article  Google Scholar 

Birnbaumer P, Weiner L, Handl T, Tschakert G, Hofmann P (2022) Effects of different durations at fixed intensity exercise on internal load and recovery—a feasibility pilot study on duration as an independent variable for exercise prescription. J Funct Morphol Kinesiol. https://doi.org/10.3390/JFMK7030054

Article  PubMed  PubMed Central  Google Scholar 

Borresen J, Ian Lambert M (2009) The quantification of training load, the training response and the effect on performance. Sports Med (Auckland, NZ) 39(9):779–795. https://doi.org/10.2165/11317780-000000000-00000

Article  Google Scholar 

Bourdon PC, Cardinale M, Murray A, Gastin P, Kellmann M, Varley MC, Gabbett TJ, Coutts AJ, Burgess DJ, Gregson W, Cable NT (2017) Monitoring athlete training loads: consensus statement. Int J Sports Physiol Perform 12(s2):S2-161. https://doi.org/10.1123/IJSPP.2017-0208

Article  Google Scholar 

Canadian Society of Exercise Physiology (2017) Get Active Questionnaire: Canadian Society of Exercise Physiology. https://csep.ca/2021/01/20/pre-screening-for-physical-activity/. Accessed 09 Mar 2022

Chen Z, Ivanov PC, Hu K, Stanley HE (2002) Effect of nonstationarities on detrended fluctuation analysis. Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics 65(4):15. https://doi.org/10.1103/PhysRevE.65.041107

Article  CAS  Google Scholar 

Cohen J (2013) Statistical power analysis for the behavioral sciences. https://doi.org/10.4324/9780203771587

Dong JG (2016) The role of heart rate variability in sports physiology (review). Exp Ther Med 11(5):1531–1536. https://doi.org/10.3892/etm.2016.3104

Article  PubMed  PubMed Central  Google Scholar 

Fullerton MM, Passfield L, Macinnis MJ, Iannetta D, Murias JM (2021) Prior exercise impairs subsequent performance in an intensity-and duration-dependent manner. Appl Physiol Nutr Metab 46(8):976–985. https://doi.org/10.1139/apnm-2020-0689

Article  CAS  PubMed  Google Scholar 

Gaskill SE, Ruby BC, Walker AJ, Sanchez OA, Serfass RC, Leon AS (2001) Validity and reliability of combining three methods to determine ventilatory threshold. Med Sci Sports Exerc 33(11):1841–1848. https://doi.org/10.1097/00005768-200111000-00007

Article  CAS  PubMed  Google Scholar 

Gronwald T, Ludyga S, Hoos O, Hottenrott K (2018) Non-linear dynamics of cardiac autonomic activity during cycling exercise with varied cadence. Hum Mov Sci 60:225–233. https://doi.org/10.1016/J.HUMOV.2018.06.013

Article  PubMed  Google Scholar 

Gronwald T, Rogers B, Hottenrott L, Hoos O, Hottenrott K (2021) Correlation properties of heart rate variability during a marathon race in recreational runners: potential biomarker of complex regulation during endurance exercise. J Sports Sci Med 20(4):557–563. https://doi.org/10.52082/JSSM.2021.557

Article  PubMed  PubMed Central  Google Scholar 

Gronwald T, Horn L, Schaffarczyk M, Hoos O (2024) Correlation properties of heart rate variability for exercise prescription during prolonged running at constant speeds: a randomized cross-over trial. Eur J Sport Sci 24(11):1539–1551. https://doi.org/10.1002/EJSC.12175

Article  PubMed  PubMed Central  Google Scholar 

Hart SG, Staveland LE (1988) Development of NASA-TLX (task load index): results of empirical and theoretical research. Adv Psychol 52(C):139–183. https://doi.org/10.1016/S0166-4115(08)62386-9

Article  Google Scholar 

Iannetta D, Murias JM, Keir DA (2019) A simple method to quantify the V-O 2 mean response time of ramp-incremental exercise. Med Sci Sports Exerc 51(5):1080–1086. https://doi.org/10.1249/MSS.0000000000001880

Article  PubMed  Google Scholar 

Iannetta D, Inglis EC, Pogliaghi S, Murias JM, Keir DA (2020) A “step-ramp-step” protocol to identify the maximal metabolic steady state. Med Sci Sports Exerc 52(9):2011–2019. https://doi.org/10.1249/MSS.0000000000002343

Article  CAS  PubMed  Google Scholar 

Impellizzeri FM, Marcora SM, Coutts AJ (2019) Internal and external training load: 15 years on. Int J Sports Physiol Perform 14(2):270–273. https://doi.org/10.1123/ijspp.2018-0935

Article  PubMed  Google Scholar 

Impellizzeri FM, Jeffries AC, Weisman A, Coutts AJ, McCall A, McLaren SJ, Kalkhoven J (2022) The ‘training load’ construct: why it is appropriate and scientific. J Sci Med Sport 25(5):445–448. https://doi.org/10.1016/j.jsams.2021.10.013

Article  PubMed  Google Scholar 

Kesisoglou A, Nicolò A, Passfield L (2021) Cycling performance and training load: effects of intensity and duration. Int J Sports Physiol Perform 16(4):535–543. https://doi.org/10.1123/IJSPP.2020-0072

Article  PubMed  Google Scholar 

Koo TK, Li MY (2016) A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J Chiropr Med 15(2):155–163. https://doi.org/10.1016/j.jcm.2016.02.012

Article  PubMed  PubMed Central  Google Scholar 

Lipponen JA, Tarvainen MP (2019) A robust algorithm for heart rate variability time series artefact correction using novel beat classification. J Med Eng Technol 43(3):173–181. https://doi.org/10.1080/03091902.2019.1640306

Article  PubMed  Google Scholar 

Bland JM, Altman DG (1986) Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 327(8476):307–310. https://doi.org/10.1016/S0140-6736(86)90837-8

Article  Google Scholar 

Mattu AT, Iannetta D, MacInnis MJ, Doyle-Baker PK, Murias JM (2020) Menstrual and oral contraceptive cycle phases do not affect submaximal and maximal exercise responses. Scand J Med Sci Sports 30(3):472–484. https://doi.org/10.1111/sms.13590

Article  PubMed  Google Scholar 

McKay AKA, Stellingwerff T, Smith ES, Martin DT, Mujika I, Goosey-Tolfrey VL, Sheppard J, Burke LM (2022) Defining training and performance caliber: a participant classification framework. Int J Sports Physiol Perform 17(2):317–331. https://doi.org/10.1123/ijspp.2021-0451

Article  PubMed  Google Scholar 

Meyer T, Lucía A, Earnest CP, Kindermann W (2005) A conceptual framework for performance diagnosis and training prescription from submaximal gas exchange parameters—theory and application. Int J Sports Med Suppl 26(1):S38–S48. https://doi.org/10.1055/S-2004-830514/ID/35

Article  Google Scholar 

Noble BJ, Borg GAV, Jacobs I, Ceci R, Kaiser P (1983) A category-ratio perceived exertion scale: relationship to blood and muscle lactates and heart rate. Med Sci Sports Exerc 15(6):523–528

Article  CAS  PubMed  Google Scholar 

Nuuttila OP, Laatikainen-Raussi V, Vohlakari K, Laatikainen-Raussi I, Ihalainen JK (2024) Durability in recreational runners: effects of 90-min low-intensity exercise on the running speed at the lactate threshold. Eur J Appl Physiol. https://doi.org/10.1007/s00421-024-05631-y

Article  PubMed  PubMed Central  Google Scholar 

Passfield L, Murias JM, Sacchetti M, Nicolò A (2022) Validity of the training-load concept. Int J Sports Physiol Perform 17(4):507–514. https://doi.org/10.1123/ijspp.2021-0536

Article  PubMed  Google Scholar 

Peng CK, Buldyrev SV, Havlin S, Simons M, Stanley HE, Goldberger AL (1994) Mosaic organization of DNA nucleotides. Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscipl Top 49(2):1685–1689. https://doi.org/10.1103/PHYSREVE.49.1685

Article  CAS  Google Scholar 

Pickus S (2017) DFA.py (GitHub). https://github.com/pickus91/HRV/blob/master/DFA.py. Accessed 17 Jan 2022

Rogers B, Giles D, Draper N, Hoos O, Gronwald T (2021a) A New detection method defining the aerobic threshold for endurance exercise and training prescription based on fractal correlation properties of heart rate variability. Front Physiol 11:1806. https://doi.org/10.3389/FPHYS.2020.596567

Article  Google Scholar 

Rogers B, Giles D, Draper N, Mourot L, Gronwald T (2021b) Detection of the anaerobic threshold in endurance sports: validation of a new method using correlation properties of heart rate variability. J Funct Morphol Kinesiol 6(2):38. https://doi.org/10.3390/jfmk6020038

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