The Prevalence of Heart Rate Variability Monitoring Among a Sample of Habitual Runners Direct Original Research

Main Article Content

Andrew J. Carnes
Sara E. Mahoney

Keywords

wearables, running, heart rate variability

Abstract

Introduction: The measurement of heart rate variability (HRV) draws widespread attention among athletes and researchers, but few data are available on the use and application of HRV in runners. The purpose of this study was to examine the prevalence of HRV monitoring and the adjustment of training based on HRV among a sample of habitual runners.


Methods: Runners (18-65 yr) who reported running ≥3 d·wk-1 for ≥6 months and competing in ≥2 races annually completed a 13-item survey on training habits and the use of wearable devices. Chi-square analysis was used to detect differences in the prevalence of HRV monitoring between genders, age groups, and competitive levels. Unpaired t-tests were used to compare training frequency (d∙wk-1), volume (hr∙wk-1), and experience (years running) between HRV trackers and nontrackers and between competitive and noncompetitive runners. Statistical significance was accepted at p≤0.05.


Results: Out of N=210 respondents (17.7±8.81 yr experience, 3.78±0.98 d∙wk-1 frequency), 47% (n=99) reported regularly monitoring HRV. More HRV users (χ2=4.89, p=0.027) were male (57.6%, n=57) than female (42.4%, n=42). HRV monitoring was similar between “competitive” vs. “recreational” runners (χ2=0.486, p=0.49). 71% of HRV trackers used Garmin© devices while only 20% reported adjusting training based on HRV.


Conclusions: HRV measurement is prevalent among runners, but is not frequently used to alter training.

Abstract 144 | PDF Downloads 111

References

1. A'Naja MN, Batrakoulis A, Camhi SM, McAvoy C, Sansone JS, Reed R. 2025 ACSM worldwide fitness trends: future directions of the health and fitness industry. ACSMs Health Fit J. 2024;28(6):11-25. doi:10.1249/FIT.0000000000001017
2. Shei RJ, Holder IG, Oumsang AS, Paris BA, Paris HL. Wearable activity trackers-advanced technology or advanced marketing?. Eur J Appl Physiol. 2022;122(9):1975-1990. doi:10.1007/s00421-022-04951-1
3. Halson SL, Peake JM, Sullivan JP. Wearable technology for athletes: information overload and pseudoscience?. Int J Sports Physiol Perform. 2016;11(6):705-706. doi:10.1123/IJSPP.2016-0486
4. Moore IS, Willy RW. Use of wearables: tracking and retraining in endurance runners. Curr Sports Med Rep. 2019;18(12):437-444. doi:10.1249/JSR.0000000000000667
5. Düking P, Zinner C, Trabelsi K, et al. Monitoring and adapting endurance training on the basis of heart rate variability monitored by wearable technologies: a systematic review with meta-analysis. J Sci Med Sport. 2021;24(11):1180-1192.
6. Plews DJ, Laursen PB, Stanley J, Kilding AE, Buchheit M. Training adaptation and heart rate variability in elite endurance athletes: opening the door to effective monitoring. Sports Med. 2013;43(9):773-781. doi:10.1007/s40279-013-0071-8
7. Buchheit M, Chivot A, Parouty J, et al. Monitoring endurance running performance using cardiac parasympathetic function. Eur J Appl Physiol. 2010;108(6):1153-1167. doi:10.1007/s00421-009-1317-x
8. Nuuttila OP, Nikander A, Polomoshnov D, Laukkanen JA, Häkkinen K. Effects of HRV-guided vs. predetermined block training on performance, HRV and serum hormones. Int J Sports Med. 2017;38(12):909-920. doi:10.1055/s-0043-115122
9. Vesterinen V, Nummela A, Heikura I, et al. Individual endurance training prescription with heart rate variability. Med Sci Sports Exerc. 2016;48(7):1347-1354. doi:10.1249/MSS.0000000000000910
10. Peake JM, Kerr G, Sullivan JP. A critical review of consumer wearables, mobile applications, and equipment for providing biofeedback, monitoring stress, and sleep in physically active populations. Front Physiol. 2018;9:743. doi:10.3389/fphys.2018.00743
11. Carnes AJ, Mahoney, SE. Are predictive metrics by wearables "unproductive"? The effect of deceptive wearable monitor feedback on performance and perception in recreational runners. Med Sci Sports Exerc. 2025;57(10S):582-583. doi:10.1249/01.mss.0001159792.18290.a9