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DOI: 10.1055/a-2721-9979
Estimation of Runnersʼ Lactate Threshold Heart Rate and Speed by Heart Rate Variability
Authors
Supported by: This study was supported by the Fundamental Research Funds for the Central Universities of China 2023GCZX003 and The National Natural Science Foundation of China72071018
Abstract
Accurate measurement of training intensity is crucial for optimizing endurance running performance. Lactate threshold heart rate and lactate threshold speed are commonly used but require invasive, costly methods. Heart rate variability metrics offer a non-invasive alternative by assessing autonomic nervous system activity. This study evaluated the validity of various heart rate variability metrics in predicting the lactate threshold heart rate and lactate threshold speed during indoor and outdoor graded exercise tests in 19 recreational runners. Heart rate variability thresholds were determined using SD1, SD2, detrended fluctuation analysis scaling exponent for short-term fluctuations, detrended fluctuation analysis scaling exponent for long-term fluctuations, standard deviation of NN intervals, and root mean square of successive RR intervals via the Dmax method, and are referred to as HRVT1 to HRVT6. Indoor graded exercise test results showed that heart rate at heart rate variability threshold often underestimated the lactate threshold heart rate, with all heart rate variability thresholds, except speed at heart rate variability threshold (detrended fluctuation analysis scaling exponent for long-term fluctuations, p=0.06), showing significant differences from lactate threshold. Moderate correlations were observed for HRVT5HR (standard deviation of NN intervals, r=0.66), HRVT2speed (SD2, r=0.56), and HRVT3speed (detrended fluctuation analysis scaling exponent for short-term fluctuations, r=0.70). Outdoor graded exercise tests showed no significant differences between most heart rate variability thresholds and lactate threshold, except HRVT6HR (root mean square of successive RR intervals, p=0.03). Speed at heart rate variability threshold demonstrated moderate correlations (r=0.54–0.7) with the lactate threshold speed. While the heart rate variability threshold and lactate threshold may reflect different physiological thresholds, heart rate variability thresholds, particularly those based on detrended fluctuation analysis scaling exponent for long-term fluctuations, showed promise as non-invasive predictors of lactate threshold in recreational runners.
Keywords
Heart Rate Variability Threshold - Lactate Threshold - Graded Exercise Test - Validity - RunningPublication History
Received: 03 May 2025
Accepted after revision: 13 October 2025
Accepted Manuscript online:
13 October 2025
Article published online:
21 November 2025
© 2025. Thieme. All rights reserved.
Georg Thieme Verlag KG
Oswald-Hesse-Straße 50, 70469 Stuttgart, Germany
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References
- 1 Mujika I. Quantification of training and competition loads in endurance sports: methods and applications. Int J Sports Physiol Perform 2017; 12: S2-9-S2-17 s2
- 2 Svedahl K, Macintosh BR. Anaerobic threshold: the concept and methods of measurement. Can J Appl Physiol 2003; 28 (02) 299-323
- 3 Faude O, Kindermann W, Meyer T. Lactate threshold concepts: how valid are they?. Sports Med 2009; 39: 469-490
- 4 Londeree BR. Effect of training on lactate/ventilatory thresholds: a meta-analysis. Med Sci Sports Exerc 1997; 29 (06) 837-843
- 5 Pfitzinger P, Freedson P. The reliability of lactate measurements during exercise. Int J Sports Med 1998; 19 (05) 349-357
- 6 Dumke CL, Brock DW, Helms BH. et al. Heart rate at lactate threshold and cycling time trials. J Strength Cond Res 2006; 20 (03) 601-607
- 7 Yoshida T, Chida M, Ichioka M. et al. Blood lactate parameters related to aerobic capacity and endurance performance. Eur J Appl Physiol Occup Physiol 1987; 56 (01) 7-11
- 8 Ziogas GG, Patras KN, Stergiou N. et al. Velocity at lactate threshold and running economy must also be considered along with maximal oxygen uptake when testing elite soccer players during preseason. J Strength Cond Res 2011; 25 (02) 414-419
- 9 Støa EM, Helgerud J, Rønnestad BR. et al. Factors influencing running velocity at lactate threshold in male and female runners at different levels of performance. Front Physiol 2020; 11: 585267
- 10 Hart C. Optimal Training Intensity: Making Sense of Assessment Methods
- 11 Jones NL, Ehrsam RE. The anaerobic threshold. Exerc sport Sci Rev 1982; 10 (01) 49-83
- 12 Llodio I, Gorostiaga E, Garcia-tabar I. et al. Estimation of the maximal lactate steady state in endurance runners. Int J Sports Med 2016; 37: 539-546
- 13 Jamnick NA, Botella J, Pyne DB. et al. Manipulating graded exercise test variables affects the validity of the lactate threshold and V˙O2 peak. PLoS One 2018; 13 (07) e0199794
- 14 Cerezuela-espejo V, Courel-ibáñez J, Morán-navarro R. et al. The relationship between lactate and ventilatory thresholds in runners: validity and reliability of exercise test performance parameters. Front Physiol 2018; 9: 1320
- 15 Chalmersa S, Estermanb A, Estona R. et al. Standardisation of the Dmax Method for Calculating the Second Lactate. Int J Sports Physiol Perform 10: 921-926
- 16 Ramos-campo DJ, Rubio-arias JA, Ávila-gandía V. et al. Heart rate variability to assess ventilatory thresholds in professional basketball players. J Sport Health Sci 2017; 6 (04) 468-473
- 17 Nascimento EMF, Kiss MAPDM, Santos TM. et al. Determination of lactate thresholds in maximal running test by heart rate variability data set. Asian J Sports Med 2017; 8 (03) e58480
- 18 Shiraishi Y, Katsumata Y, Sadahiro T. et al. Real-time analysis of the heart rate variability during incremental exercise for the detection of the ventilatory threshold. J Am Heart Assoc 2018; 7 (01) e006612
- 19 Di Michele R, Gatta G, Di Leo A. et al. Estimation of the anaerobic threshold from heart rate variability in an incremental swimming test. J Strength Cond Res 2012; 26 (11) 3059-3066
- 20 Shaffer F, Ginsberg JP. An overview of heart rate variability metrics and norms. Front Public Health 2017; 5: 290215
- 21 Rogers B, Giles D, Draper N. et al. Detection of the anaerobic threshold in endurance sports: validation of a new method using correlation properties of heart rate variability. J Funct Morphol Kinesiol 2021; 6 (02) 38
- 22 Etxegarai U, Insunza A, Larruskain J. et al. Prediction of performance by heart rate-derived parameters in recreational runners. J Sports Sci 2018; 36 (18) 2129-2137
- 23 Sztajzel J. Heart rate variability: a noninvasive electrocardiographic method to measure the autonomic nervous system. Swiss Med Wkly 2004; 134 (3536) 514-522
- 24 Benítez A, García-gonzález M, Angulo R. et al. Ventilatory threshold prediction by spectral analysis of heart rate variability in incremental maximal tests. Proceedings of the 2010 computing in cardiology. IEEE; 2010
- 25 Kaufmann S, Gronwald T, Herold F. et al. Heart rate variability-derived thresholds for exercise intensity prescription in endurance sports: a systematic review of interrelations and agreement with different ventilatory and blood lactate thresholds. Sports Med Open 2023; 9 (01) 59
- 26 Tulppo MP, Makikallio TH, Seppanen T. et al. Vagal modulation of heart rate during exercise: effects of age and physical fitness. Am J Physiol Heart Circ Physiol 1998; 274 (02) H424-H429
- 27 Sandercock G, Brodie D. The use of heart rate variability measures to assess autonomic control during exercise. Scand J Med Sci sports 2006; 16 (05) 302-313
- 28 Anosov O, Patzak A, Kononovich Y. et al. High-frequency oscillations of the heart rate during ramp load reflect the human anaerobic threshold. Eur J Appl Physiol 2000; 83: 388-394
- 29 Karapetian G, Engels H-J, Gretebeck RJ. Use of heart rate variability to estimate LT and VT. Int J Sports Med 2008; 29: 652-657
- 30 White DW, Raven PB. Autonomic neural control of heart rate during dynamic exercise: revisited. J Physiol 2014; 592 (12) 2491-2500
- 31 Mateo-march M, Moya-Ramón M, Javaloyes A. et al. Validity of detrended fluctuation analysis of heart rate variability to determine intensity thresholds in elite cyclists. Eur J Sport Sci 2023; 23 (04) 580-587
- 32 Cottin F, Leprêtre P-M, Lopes P. et al. Assessment of ventilatory thresholds from heart rate variability in well-trained subjects during cycling. Int J Sports Med 2006; 27: 959-967
- 33 Karapetian G, Engels H, Gretebeck K. et al. Effect of caffeine on LT, VT and HRVT. Int J Sports Med 2012; 33: 507-513
- 34 Queiroz M, Arsa G, Rezende D. et al. Heart rate variability estimates ventilatory threshold regardless body mass index in young people. Sci Sports 2018; 33 (01) 39-46
- 35 Garcia-tabar I, Sánchez-medina L, Aramendi JF. et al. Heart rate variability thresholds predict lactate thresholds in professional world-class road cyclists. J Exercise Physiol Online 2013; 16 (05) 38-50
- 36 Rogers B, Giles D, Draper N. et al. 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 2021; 11: 596567
- 37 Rogers B, Berk S, Gronwald T. An index of non-linear HRV as a proxy of the aerobic threshold based on blood lactate concentration in elite triathletes. Sports 2022; 10 (02) 25
- 38 Cottin F, Médigue C, Lopes P. et al. Ventilatory thresholds assessment from heart rate variability during an incremental exhaustive running test. Int J Sports Med 2007; 28 (04) 287-294
- 39 Buchheit M, Solano R, Millet GP. Heart-rate deflection point and the second heart-rate variability threshold during running exercise in trained boys. Pediatr Exerc Sci 2007; 19 (02) 192-204
- 40 Cheng B, Kuipers H, Snyder A. et al. A new approach for the determination of ventilatory and lactate thresholds. Int J Sports Med 1992; 13 (07) 518-522
- 41 Nascimento EMF, Antunes D, Do Nascimento Salvador PC. et al. Applicability of Dmax method on heart rate variability to estimate the lactate thresholds in male runners. J Sports Med 2019; 2019: 2075371
- 42 Candido N, Okuno N, Da Silva C. et al. Reliability of the heart rate variability threshold using visual inspection and Dmax methods. Int J Sports Med 2015; 36: 1076-1080
- 43 Thiart N, Coetzee B, Bisschoff C. Heart Rate Variability-Established Thresholds to Determine the Ventilatory and Lactate Thresholds of Endurance Athletes. Int J Hum Mov Sports Sci 2023; 11 (02) 398-410
- 44 Chen MJ, Fan X, Moe ST. Criterion-related validity of the Borg ratings of perceived exertion scale in healthy individuals: a meta-analysis. J Sports Sci 2002; 20 (11) 873-899
- 45 Sheffield L, Holt JH, Reeves TJ. Exercise graded by heart rate in electrocardiographic testing for angina pectoris. Circulation 1965; 32 (04) 622-629
- 46 Seiler S. What is best practice for training intensity and duration distribution in endurance athletes?. Int J Sports Physiol Perform 2010; 5 (03) 276-291
- 47 Schumann M, Feuerbacher JF, Heinrich L. et al. Using Free-Living Heart Rate Data as an Objective Method to Assess Physical Activity: A Scoping Review and Recommendations by the INTERLIVE-Network Targeting Consumer Wearables. Sports Med 2025; 55: 1-26
- 48 Longo AF, Prada EO, Cardey ML. et al. Exercise Intensity in Track and Level-grade Treadmill Running: A Cross-over Longitudinal Study in Well-trained Athletes. Eur J Sport Sci 2022; 1 (06) 6-12
- 49 Prigent G, Apte S, Paraschiv-ionescu A. et al. Concurrent evolution of biomechanical and physiological parameters with running-induced acute fatigue. Front Physiol 2022; 13: 814172
- 50 Giles DA, Draper N. Heart rate variability during exercise: a comparison of artefact correction methods. J Strength Cond Res 2018; 32 (03) 726-735
- 51 Rincon Soler AI, Silva LEV, Fazan JRR. et al. The impact of artifact correction methods of RR series on heart rate variability parameters. J Appl Physiol 2018; 124 (03) 646-652
- 52 Taoum A, Bisiaux A, Tilquin F. et al. Validity of ultra-short-term hrv analysis using ppg—a preliminary study. Sensors 2022; 22 (20) 7995
- 53 Caridade Gomes PM. Hochschule für angewandte Wissenschaften Hamburg; Development of an open-source Python toolbox for heart rate variability (HRV). 2019
- 54 Costa M, Goldberger AL, Peng C-K. Multiscale entropy analysis of complex physiologic time series. Phys Rev Lett 2002; 89 (06) 068102
- 55 Leite FS, da Rocha AF, de Carvalho JLA. Matlab Software for Detrended Fluctuation Analysis of Heart Rate Variability. Proceedings of the BIOSIGNALS 2010
- 56 da Cruz CJG, Porto LGG, Molina GE. Agreement between the heart rate variability threshold and ventilatory threshold in young women: Impact of cardiac parasympathetic status and cardiorespiratory fitness. Meas Phys Educ Exercise Sci 2022; 26 (03) 179-190
- 57 Candido N, Okuno N, da Silva C. et al. Reliability of the heart rate variability threshold using visual inspection and Dmax methods. Int J Sports Med 2015; 36 (13) 1076-1080
- 58 Cohen J. A power primer 2016
- 59 Hopkins W, Marshall S, Batterham A. et al. Progressive statistics for studies in sports medicine and exercise science. Med Sci Sports Exerc 2009; 41 (01) 3
- 60 Shen T, Wen X. Heart-rate-based prediction of velocity at lactate threshold in ordinary adults. J Exerc Sci Fit 2019; 17 (03) 108-112
- 61 Mcgehee JC, Tanner CJ, Houmard JA. A comparison of methods for estimating the lactate threshold. J Strength Cond Res 2005; 19 (03) 553-558
- 62 Hoshi RA, Pastre CM, Vanderlei LC.M. et al. Poincaré plot indexes of heart rate variability: relationships with other nonlinear variables. Auton Neurosci 2013; 177 (02) 271-274
- 63 Peng CK, Havlin S, Stanley HE. et al. Quantification of scaling exponents and crossover phenomena in nonstationary heartbeat time series. Chaos Interdiscip J Nonlinear Sci 1995; 5 (01) 82-87
- 64 Gronwald T, Rogers B, Hoos O. Fractal correlation properties of heart rate variability: a new biomarker for intensity distribution in endurance exercise and training prescription?. Front Physiol 2020; 11: 550572
- 65 Wang H-M, Huang S-C. SDNN/RMSSD as a surrogate for LF/HF: a revised investigation. Model Simul Eng 2012; 2012: 16
- 66 Novelli FI, de Araujo JA, Tolazzi GJ. et al. Reproducibility of heart rate variability threshold in untrained individuals. Int J Sports Med 2019; 40 (02) 95-99
- 67 Sales MM, Campbell CSG, Morais PK. et al. Noninvasive method to estimate anaerobic threshold in individuals with type 2 diabetes. Diabetol Metab Syndr 2011; 3: 1-8
- 68 Bentley D, Mcnaughton L, Batterham A. Prolonged stage duration during incremental cycle exercise: effects on the lactate threshold and onset of blood lactate accumulation. Eur J Appl Physiol 2001; 85 (03) 351-357
- 69 Yoshida T. Effect of exercise duration during incremental exercise on the determination of anaerobic threshold and the onset of blood lactate accumulation. Eur J Appl Physiol Occup Physiol 1984; 53 (03) 196-199
- 70 Mustakoski I. Determination of heart rate variability thresholds and their association with lactate threshold in novice female runners 2023
- 71 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
- 72 Nakamura Y, Yamamoto Y, Muraoka I. Autonomic control of heart rate during physical exercise and fractal dimension of heart rate variability. J Appl Physiol 1993; 74 (02) 875-881
- 73 Perini R, Veicsteinas A. Heart rate variability and autonomic activity at rest and during exercise in various physiological conditions. Eur J Appl Physiol 2003; 90: 317-325
