journal article Jan 01, 2026

Comparison of Heart Rate- and Race Pace-Based Training Prescriptions on Training Execution Accuracy in Recreational Distance Runners

View at Publisher Save 10.1123/ijspp.2025-0578
Abstract
Purpose

:
While distance running training zones used to prescribe training through the heart rate (HR)-based approach are delimited by HRs associated ventilatory turn points, those in the race pace (RP)-based method are demarcated by percentages of competition average pace at a specific distance. However, no study has directly compared which method better ensures Training Execution Accuracy (TEA) to prescribed intensity zones. This study aimed to compare TEA, quantified as time spent in prescribed intensity zones, between HR- and RP-based training prescriptions during low-intensity continuous (LICT) and high-intensity interval training (HIIT) in distance runners.

Methods

:
Using a randomized crossover design, 37 runners (38.9 [9.3] y) completed an incremental treadmill test to determine maximum oxygen uptake (

: 53.7 [6.5] mL·kg
−1
·min
−1
), ventilatory turn points, maximal HR, and a 5-km track race to determine RP. Participants performed 2 individualized sessions with either HR- or RP-based prescriptions: a 45-minute LICT and a 5 × 800-m HIIT with 90-second rest.

Results

:
The HR-based training prescription yielded greater TEA (85% [23%] of session time,
P
 = .002) than RP-based method (69% [21%]) during LICT. Similarly, for the HIIT, TEA was higher through HR- (41% [19%],
P
 < .001) than RP-based prescription (27% [14%]).

Conclusion

:
The HR-based approach led to significantly greater time spent within the prescribed intensity zones than the RP-based approach during both LICT and HIIT sessions in endurance runners. TEA during HIIT was low for both prescription methods, highlighting the difficulty of maintaining target intensity at high intensities.
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References
72
[1]
Mujika I. Endurance Training: Science and Practice. 2nd. Iñigo Mujika S.L.U; 2023. books.google.it/books?id=8HqT0AEACAAJ
[2]
Joyner MJ, Coyle EF. Endurance exercise performance: the physiology of champions. J Physiol. 2008;586(1):35–44. doi:10.1113/jphysiol.2007.143834 10.1113/jphysiol.2007.143834
[3]
Casado A, González-Mohíno F, González-Ravé JM, Foster C. Training periodization, methods, intensity distribution, and volume in highly trained and elite distance runners: a systematic review. Int J Sports Physiol Perform. 2022;17(6):820–833. doi:10.1123/ijspp.2021-0435 10.1123/ijspp.2021-0435
[4]
Seiler S. What is best practice for training intensity and duration distribution in endurance athletes? Int J Sports Physiol Perform. 2010;5(3):276–291. doi:10.1123/ijspp.5.3.276 10.1123/ijspp.5.3.276
[5]
Jamnick NA, Pettitt RW, Granata C, Pyne DB, Bishop DJ. An examination and critique of current methods to determine exercise intensity. Sports Med. 2020;50(10):1729–1756. doi:10.1007/s40279-020-01322-8 10.1007/s40279-020-01322-8
[6]
Mann T, Lamberts RP, Lambert MI. Methods of prescribing relative exercise intensity: physiological and practical considerations. Sports Med. 2013;43(7):613–625. doi:10.1007/s40279-013-0045-x 10.1007/s40279-013-0045-x
[7]
Meixner B, Filipas L, Holmberg HC, Sperlich B. Zone 2 intensity: a critical comparison of individual variability in different submaximal exercise intensity boundaries. Transl Sports Med. 2025;2025(1):2008291. doi:10.1155/tsm2/2008291 10.1155/tsm2/2008291
[8]
Black MI, Jones AM, Blackwell JR, et al. Muscle metabolic and neuromuscular determinants of fatigue during cycling in different exercise intensity domains. J Appl Physiol. 2017;122(3):446–459. doi:10.1152/japplphysiol.00942.2016 10.1152/japplphysiol.00942.2016
[9]
Nuuttila OP, Kaikkonen P, Sievänen H, Vasankari T, Kyröläinen H. The accuracy of fixed intensity anchors to estimate lactate thresholds in recreational runners. Eur J Appl Physiol. 2025;125(8):2161–2171. doi:10.1007/s00421-025-05748-8 10.1007/s00421-025-05748-8
[10]
Bossi AH, Cole D, Passfield L, Hopker J. Conventional methods to prescribe exercise intensity are ineffective for exhaustive interval training. Eur J Appl Physiol. 2023;123(8):1655–1670. doi:10.1007/s00421-023-05176-6 10.1007/s00421-023-05176-6
[11]
Sylta Ø, Tønnessen E, Seiler S. From heart-rate data to training quantification: a comparison of 3 methods of training-intensity analysis. Int J Sports Physiol Perform. 2014;9(1):100–107. doi:10.1123/ijspp.2013-0298 10.1123/ijspp.2013-0298
[12]
Kenneally M, Casado A, Gomez-Ezeiza J, Santos-Concejero J. Training intensity distribution analysis by race pace vs physiological approach in world-class middle- and long-distance runners. Eur J Sport Sci. 2021;21(6):819–826. doi:10.1080/17461391.2020.1773934 10.1080/17461391.2020.1773934
[13]
Ranieri LE, Casado A, Martin D, et al. Performance and physiological effects of race pace-based versus heart rate variability-guided training prescription in runners. Med Sci Sports Exerc. 2025;57(7):1510–1522. doi:10.1249/MSS.0000000000003671 10.1249/mss.0000000000003671
[14]
Boullosa D, Esteve-Lanao J, Casado A, Peyré-Tartaruga LA, Gomes da Rosa R, Del Coso J. Factors affecting training and physical performance in recreational endurance runners. Sports. 2020;8(3):35. doi:10.3390/sports8030035 10.3390/sports8030035
[15]
Guidelines to Classify Subject Groups in Sport-Science Research

Kevin De Pauw, Bart Roelands, Stephen S. Cheung et al.

International Journal of Sports Physiology and Per... 2013 10.1123/ijspp.8.2.111
[16]
Decroix L, De Pauw K, Foster C, Meeusen R. Guidelines to classify female subject groups in sport-science research. Int J Sports Physiol Perform. 2016;11(2):204–213. doi:10.1123/ijspp.2015-0153 10.1123/ijspp.2015-0153
[17]
Verney J, Schwartz C, Amiche S, Pereira B, Thivel D. Comparisons of a multi-frequency bioelectrical impedance analysis to the dual-energy x-ray absorptiometry scan in healthy young adults depending on their physical activity level. J Hum Kinet. 2015;47(1):73–80. doi:10.1515/hukin-2015-0063 10.1515/hukin-2015-0063
[18]
Poole DC, Jones AM. Measurement of the maximum oxygen uptake VO2max: VO2peak is no longer acceptable. J Appl Physiol. 2017;122(4):997–1002. doi:10.1152/japplphysiol.01063.2016 10.1152/japplphysiol.01063.2016
[19]
Billat LV, Koralsztein JP. Significance of the velocity at VO2max and time to exhaustion at this velocity. Sports Med. 1996;22(2):90–108. doi:10.2165/00007256-199622020-00004 10.2165/00007256-199622020-00004
[20]
Cohen J. Statistical Power Analysis for the Behavioral Sciences. 2nd ed. Erlbaum; 1988.
[21]
Little JP, Safdar A, Cermak N, Tarnopolsky MA, Gibala MJ. Acute endurance exercise increases the nuclear abundance of PGC-1α in trained human skeletal muscle. Am J Physiol Regul Integr Comp Physiol. 2010;298(4):R912–R917. doi:10.1152/ajpregu.00409.2009 10.1152/ajpregu.00409.2009
[22]
Tavi P, Westerblad H. The role of in vivo Ca2+ signals acting on Ca2+-calmodulin-dependent proteins for skeletal muscle plasticity. J Physiol. 2011;589(pt 21):5021–5031. doi:10.1113/jphysiol.2011.212860 10.1113/jphysiol.2011.212860
[23]
Storniolo JL, Esposti R, Cavallari P. Heart rate kinetics and sympatho-vagal balance accompanying a maximal sprint test. Front Psychol. 2020;10:2950. doi:10.3389/fpsyg.2019.02950 10.3389/fpsyg.2019.02950
[24]
Monitoring Training Load to Understand Fatigue in Athletes

Shona L. Halson

Sports Medicine 2014 10.1007/s40279-014-0253-z
[25]
Dimkpa U. Post-exercise heart rate recovery: an index of cardiovascular fitness. J Exerc Physiol Online. 2009;12:10–22.
[26]
Scherr J, Wolfarth B, Christle JW, Pressler A, Wagenpfeil S, Halle M. Associations between Borg’s rating of perceived exertion and physiological measures of exercise intensity. Eur J Appl Physiol. 2013;113(1):147–155. doi:10.1007/s00421-012-2421-x 10.1007/s00421-012-2421-x
[27]
Zinoubi B, Zbidi S, Vandewalle H, Chamari K, Driss T. Relationships between rating of perceived exertion, heart rate and blood lactate during continuous and alternated-intensity cycling exercises. Biol Sport. 2018;35(1):29–37. doi:10.5114/biolsport.2018.70749 10.5114/biolsport.2018.70749
[28]
Souissi A, Haddad M, Dergaa I, Ben Saad H, Chamari K. A new perspective on cardiovascular drift during prolonged exercise. Life Sci. 2021;287:120109. doi:10.1016/j.lfs.2021.120109 10.1016/j.lfs.2021.120109
[29]
Wingo JE, Stone T, Ng J. Cardiovascular drift and maximal oxygen uptake during running and cycling in the heat. Med Sci Sports Exerc. 2020;52(9):1924–1932. doi:10.1249/MSS.0000000000002324 10.1249/mss.0000000000002324
[30]
Casado A, Moreno-Pérez D, Larrosa M, Renfree A. Different psychophysiological responses to a high-intensity repetition session performed alone or in a group by elite middle-distance runners. Eur J Sport Sci. 2019;19(8):1045–1052. doi:10.1080/17461391.2019.1593510 10.1080/17461391.2019.1593510
[31]
Borresen J, Lambert MI. Autonomic control of heart rate during and after exercise. Sports Med. 2008;38(8):633–646. doi:10.2165/00007256-200838080-00002 10.2165/00007256-200838080-00002
[32]
Rothschild JA, Gallo G, Hamilton K, et al. Durability of the moderate-to-heavy intensity transition can be predicted using readily available markers of physiological decoupling. Eur J Appl Physiol. 2025;125(10):2911–2920. doi:10.1007/s00421-025-05815-0 10.1007/s00421-025-05815-0
[33]
Smyth B, Maunder E, Meyler S, Hunter B, Muniz-Pumares D. Decoupling of internal and external workload during a marathon: an analysis of durability in 82,303 recreational runners. Sports Med. 2022;52(9):2283–2295. doi:10.1007/s40279-022-01680-5 10.1007/s40279-022-01680-5
[34]
Elferink-Gemser MT, Hettinga FJ. Pacing and self-regulation: important skills for talent development in endurance sports. Int J Sports Physiol Perform. 2017;12(6):831–835. doi:10.1123/ijspp.2017-0080 10.1123/ijspp.2017-0080
[35]
Billat V, Brunel NJB, Carbillet T, Labbé S, Samson A. Humans are able to self-paced constant running accelerations until exhaustion. Phys A Stat Mech Appl. 2018;506:290–304. doi:10.1016/j.physa.2018.04.058 10.1016/j.physa.2018.04.058
[36]
Venhorst A, Micklewright DP, Noakes TD. The psychophysiological regulation of pacing behaviour and performance fatigability during long-distance running with locomotor muscle fatigue and exercise-induced muscle damage in highly trained runners. Sports Med Open. 2018;4(1):29. doi:10.1186/s40798-018-0143-2 10.1186/s40798-018-0143-2
[37]
Mujika I. Endurance Training: Science and Practice. 2nd. Iñigo Mujika S.L.U; 2023. books.google.it/books?id=8HqT0AEACAAJ
[38]
Joyner MJ, Coyle EF. Endurance exercise performance: the physiology of champions. J Physiol. 2008;586(1):35–44. doi:10.1113/jphysiol.2007.143834 10.1113/jphysiol.2007.143834
[39]
Casado A, González-Mohíno F, González-Ravé JM, Foster C. Training periodization, methods, intensity distribution, and volume in highly trained and elite distance runners: a systematic review. Int J Sports Physiol Perform. 2022;17(6):820–833. doi:10.1123/ijspp.2021-0435 10.1123/ijspp.2021-0435
[40]
Seiler S. What is best practice for training intensity and duration distribution in endurance athletes? Int J Sports Physiol Perform. 2010;5(3):276–291. doi:10.1123/ijspp.5.3.276 10.1123/ijspp.5.3.276
[41]
Jamnick NA, Pettitt RW, Granata C, Pyne DB, Bishop DJ. An examination and critique of current methods to determine exercise intensity. Sports Med. 2020;50(10):1729–1756. doi:10.1007/s40279-020-01322-8 10.1007/s40279-020-01322-8
[42]
Mann T, Lamberts RP, Lambert MI. Methods of prescribing relative exercise intensity: physiological and practical considerations. Sports Med. 2013;43(7):613–625. doi:10.1007/s40279-013-0045-x 10.1007/s40279-013-0045-x
[43]
Meixner B, Filipas L, Holmberg HC, Sperlich B. Zone 2 intensity: a critical comparison of individual variability in different submaximal exercise intensity boundaries. Transl Sports Med. 2025;2025(1):2008291. doi:10.1155/tsm2/2008291 10.1155/tsm2/2008291
[44]
Black MI, Jones AM, Blackwell JR, et al. Muscle metabolic and neuromuscular determinants of fatigue during cycling in different exercise intensity domains. J Appl Physiol. 2017;122(3):446–459. doi:10.1152/japplphysiol.00942.2016 10.1152/japplphysiol.00942.2016
[45]
Nuuttila OP, Kaikkonen P, Sievänen H, Vasankari T, Kyröläinen H. The accuracy of fixed intensity anchors to estimate lactate thresholds in recreational runners. Eur J Appl Physiol. 2025;125(8):2161–2171. doi:10.1007/s00421-025-05748-8 10.1007/s00421-025-05748-8
[46]
Bossi AH, Cole D, Passfield L, Hopker J. Conventional methods to prescribe exercise intensity are ineffective for exhaustive interval training. Eur J Appl Physiol. 2023;123(8):1655–1670. doi:10.1007/s00421-023-05176-6 10.1007/s00421-023-05176-6
[47]
Sylta Ø, Tønnessen E, Seiler S. From heart-rate data to training quantification: a comparison of 3 methods of training-intensity analysis. Int J Sports Physiol Perform. 2014;9(1):100–107. doi:10.1123/ijspp.2013-0298 10.1123/ijspp.2013-0298
[48]
Kenneally M, Casado A, Gomez-Ezeiza J, Santos-Concejero J. Training intensity distribution analysis by race pace vs physiological approach in world-class middle- and long-distance runners. Eur J Sport Sci. 2021;21(6):819–826. doi:10.1080/17461391.2020.1773934 10.1080/17461391.2020.1773934
[49]
Ranieri LE, Casado A, Martin D, et al. Performance and physiological effects of race pace-based versus heart rate variability-guided training prescription in runners. Med Sci Sports Exerc. 2025;57(7):1510–1522. doi:10.1249/MSS.0000000000003671 10.1249/mss.0000000000003671
[50]
Boullosa D, Esteve-Lanao J, Casado A, Peyré-Tartaruga LA, Gomes da Rosa R, Del Coso J. Factors affecting training and physical performance in recreational endurance runners. Sports. 2020;8(3):35. doi:10.3390/sports8030035 10.3390/sports8030035

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Published
Jan 01, 2026
Pages
1-8
Cite This Article
Luis Eduardo Ranieri, Juan Del Coso, Christel García-Ortiz, et al. (2026). Comparison of Heart Rate- and Race Pace-Based Training Prescriptions on Training Execution Accuracy in Recreational Distance Runners. International Journal of Sports Physiology and Performance, 1-8. https://doi.org/10.1123/ijspp.2025-0578
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