The effects of polarized training on time trial performance in trained and highly-trained triathletes
Main Article Content
Abstract
The polarized training model (POL), with its unique training intensity distribution (TID), emerges as an effective alternative to improve time trial performance. This study aimed to evaluate the effects of 13 weeks of training by applying a POL model in trained and highly-trained triathletes, using a percentage of TID of 75/0/25 in zones 1, 2, and 3, respectively. To analyse training effects, the assessment was performed at the beginning and the end of the study on time trials: 200m swimming (T200m), 4 minutes (T4min) and 20 minutes (T20min) cycling, and 6 minutes (T6min) running. Analysis of covariance (ANCOVA), supplemented with post hoc tests, revealed that POL training did not produce significant changes: T200m (pre = 3.03 ± 0.58, post = 2.90 ± 0.53, p = .59), T4min (pre = 272.09 ± 55.91, post = 290 ± 69.33, p = .50), T20min (pre = 204.91 ± 51.3, post = 216.36 ± 56.6, p = .62) and T6min (pre = 15.71 ± 1.69, post = 15.86 ± 1.54, p = .82). Even though training time in Z1 and Z3 is relevant, our results suggest that optimal programs for trained and highly trained triathletes should not exclude training in Z2. Furthermore, to optimize the effects of the POL model, it is essential to consider the athlete’s initial level of performance and the duration of the program.
Downloads
Article Details
Section

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Each author warrants that his or her submission to the Work is original and that he or she has full power to enter into this agreement. Neither this Work nor a similar work has been published elsewhere in any language nor shall be submitted for publication elsewhere while under consideration by Journal of Human Sport and Exercise (JHSE). Each author also accepts that the JHSE will not be held legally responsible for any claims of compensation.
Authors wishing to include figures or text passages that have already been published elsewhere are required to obtain permission from the copyright holder(s) and to include evidence that such permission has been granted when submitting their papers. Any material received without such evidence will be assumed to originate from the authors.
Please include at the end of the acknowledgements a declaration that the experiments comply with the current laws of the country in which they were performed. The editors reserve the right to reject manuscripts that do not comply with the abovementioned requirements. The author(s) will be held responsible for false statements or failure to fulfill the above-mentioned requirements.
This title is licensed under a Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).
You are free to:
Share — copy and redistribute the material in any medium or format.
Adapt — remix, transform, and build upon the material.
The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
-
Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
-
NonCommercial — You may not use the material for commercial purposes.
-
ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
- You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation.
- No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
How to Cite
References
Arroyo-Toledo, J., Sortwell, A., & Clemente-Suárez, V. (2021). The effect of 12-week of pyramidal and polarized training intensity distribution in national elite adolescent swimmers. Journal of Swimming Research, 28, 36-47.
Bellinger, P. (2020). Functional Overreaching in Endurance Athletes: A Necessity or Cause for Concern? Sports Medicine (Auckland, N.Z.), 50(6), 1059-1073. https://doi.org/10.1007/s40279-020-01269-w
Bishop, D. J., Botella, J., & Granata, C. (2019). CrossTalk opposing view: Exercise training volume is more important than training intensity to promote increases in mitochondrial content. The Journal of Physiology, 597(16), 4115-4118. https://doi.org/10.1113/JP277634
Borszcz, F. K., Tramontin, A. F., Bossi, A. H., Carminatti, L. J., & Costa, V. P. (2018). Functional Threshold Power in Cyclists: Validity of the Concept and Physiological Responses. International Journal of Sports Medicine, 39(10), 737-742. https://doi.org/10.1055/s-0044-101546
Burnley, M., Bearden, S. E., & Jones, A. M. (2022). Polarized Training Is Not Optimal for Endurance Athletes. Medicine and Science in Sports and Exercise, 54(6), 1032-1034. https://doi.org/10.1249/MSS.0000000000002869
Casado, A., Foster, C., Bakken, M., & Tjelta, L. I. (2023). Does Lactate-Guided Threshold Interval Training within a High-Volume Low-Intensity Approach Represent the «Next Step» in the Evolution of Distance Running Training? International Journal of Environmental Research and Public Health, 20(5), 3782. https://doi.org/10.3390/ijerph20053782
Casado, A., González-Mohíno, F., González-Ravé, J. M., & Foster, C. (2022). Training Periodization, Methods, Intensity Distribution, and Volume in Highly Trained and Elite Distance Runners: A Systematic Review. International Journal of Sports Physiology and Performance, 17(6), 820-833. https://doi.org/10.1123/ijspp.2021-0435
Cerezuela-Espejo, V., Courel-Ibáñez, J., Morán-Navarro, R., Martínez-Cava, A., & Pallarés, J. G. (2018). The Relationship Between Lactate and Ventilatory Thresholds in Runners: Validity and Reliability of Exercise Test Performance Parameters. Frontiers in Physiology, 9, 1320. https://doi.org/10.3389/fphys.2018.01320
Dolci, F., Kilding, A. E., Chivers, P., Piggott, B., & Hart, N. H. (2020). High-Intensity Interval Training Shock Microcycle for Enhancing Sport Performance: A Brief Review. Journal of Strength and Conditioning Research, 34(4), 1188-1196. https://doi.org/10.1519/JSC.0000000000003499
Festa, L., Tarperi, C., Skroce, K., La Torre, A., & Schena, F. (2019). Effects of Different Training Intensity Distribution in Recreational Runners. Frontiers in Sports and Active Living, 1, 70. https://doi.org/10.3389/fspor.2019.00070
Filipas, L., Bonato, M., Gallo, G., & Codella, R. (2022). Effects of 16 weeks of pyramidal and polarized training intensity distributions in well-trained endurance runners. Scandinavian Journal of Medicine & Science in Sports, 32(3), 498-511. https://doi.org/10.1111/sms.14101
Foster, C., Casado, A., Esteve-Lanao, J., Haugen, T., & Seiler, S. (2022). Polarized Training Is Optimal for Endurance Athletes. Medicine and Science in Sports and Exercise, 54(6), 1028-1031. https://doi.org/10.1249/MSS.0000000000002871
Foster, C., Florhaug, J. A., Franklin, J., Gottschall, L., Hrovatin, L. A., Parker, S., Doleshal, P., & Dodge, C. (2001). A new approach to monitoring exercise training. Journal of Strength and Conditioning Research, 15(1), 109-115. https://doi.org/10.1519/00124278-200102000-00019
Gibala, M. J., Little, J. P., Macdonald, M. J., & Hawley, J. A. (2012). Physiological adaptations to low-volume, high-intensity interval training in health and disease. The Journal of Physiology, 590(5), 1077-1084. https://doi.org/10.1113/jphysiol.2011.224725
Granata, C., Jamnick, N. A., & Bishop, D. J. (2018). Principles of Exercise Prescription, and How They Influence Exercise-Induced Changes of Transcription Factors and Other Regulators of Mitochondrial Biogenesis. Sports Medicine (Auckland, N.Z.), 48(7), 1541-1559. https://doi.org/10.1007/s40279-018-0894-4
Haugen, T., Sandbakk, Ø., Seiler, S., & Tønnessen, E. (2022). The Training Characteristics of World-Class Distance Runners: An Integration of Scientific Literature and Results-Proven Practice. Sports Medicine - Open, 8(1), 46. https://doi.org/10.1186/s40798-022-00438-7
Huerta Ojeda, Á., Galdames-Maliqueo, S., & Cáceres, P. (2018). Validación del test de 6 minutos de carrera como predictor del consumo máximo de oxígeno en el personal naval. Revista Cubana de Medicina Militar, 46, 1-11.
Ingham, S. A., Fudge, B. W., & Pringle, J. S. (2012). Training distribution, physiological profile, and performance for a male international 1500-m runner. International Journal of Sports Physiology and Performance, 7(2), 193-195. https://doi.org/10.1123/ijspp.7.2.193
Joyner, M. J., Hunter, S. K., Lucia, A., & Jones, A. M. (2020). Physiology and fast marathons. Journal of Applied Physiology (Bethesda, Md.: 1985), 128(4), 1065-1068. https://doi.org/10.1152/japplphysiol.00793.2019
Magalhães, P. M., Cipriano, F., Morais, J. E., & Bragada, J. A. (2024). Effects of a 16-Week Training Program with a Pyramidal Intensity Distribution on Recreational Male Cyclists. Sports (Basel, Switzerland), 12(1), 17. https://doi.org/10.3390/sports12010017
McKay, A. K. A., Stellingwerff, T., Smith, E. S., Martin, D. T., Mujika, I., Goosey-Tolfrey, V. L., Sheppard, J., & Burke, L. M. (2022). Defining Training and Performance Caliber: A Participant Classification Framework. International Journal of Sports Physiology and Performance, 17(2), 317-331. https://doi.org/10.1123/ijspp.2021-0451
Meeusen, R., Duclos, M., Foster, C., Fry, A., Gleeson, M., Nieman, D., Raglin, J., Rietjens, G., Steinacker, J., Urhausen, A., European College of Sport Science, & American College of Sports Medicine. (2013). Prevention, diagnosis, and treatment of the overtraining syndrome: Joint consensus statement of the European College of Sport Science and the American College of Sports Medicine. Medicine and Science in Sports and Exercise, 45(1), 186-205. https://doi.org/10.1249/MSS.0b013e318279a10a
Midgley, A. W., McNaughton, L. R., & Jones, A. M. (2007). Training to enhance the physiological determinants of long-distance running performance: Can valid recommendations be given to runners and coaches based on current scientific knowledge? Sports Medicine (Auckland, N.Z.), 37(10), 857-880. https://doi.org/10.2165/00007256-200737100-00003
Pate, R. R., & Branch, J. D. (1992). Training for endurance sport. Medicine and Science in Sports and Exercise, 24(9 Suppl), S340-343. https://doi.org/10.1249/00005768-199209001-00007
Pinot, J., & Grappe, F. (2014). Determination of Maximal Aerobic Power from the Record Power Profile to improve cycling training. Journal of Science and Cycling, 3(1), 26-32. Retrieved from [Accessed 2025, May 28]: https://www.jsc-journal.com/index.php/JSC/article/download/59/222
Pla, R., Le Meur, Y., Aubry, A., Toussaint, J. F., & Hellard, P. (2019). Effects of a 6-Week Period of Polarized or Threshold Training on Performance and Fatigue in Elite Swimmers. International Journal of Sports Physiology and Performance, 14(2), 183-189. https://doi.org/10.1123/ijspp.2018-0179
Rivera-Kofler, T., Soto-Lagos, R., Herrera-Amante, C., Cortés-Roco, G., Olivares-Arancibia, J., & Yáñez-Sepúlveda, R. (2024). Anthropometric Characteristics, Training Intensity Distribution, Physiological Profile and Performance of an Elite Trail Runner: A Longitudinal Case Study. International Journal of Morphology, 42(2), 416-423. https://doi.org/10.4067/S0717-95022024000200416
Röhrken, G., Held, S., & Donath, L. (2020). Six Weeks of Polarized Versus Moderate Intensity Distribution: A Pilot Intervention Study. Frontiers in Physiology, 11, 534688. https://doi.org/10.3389/fphys.2020.534688
Rønnestad, B. R., & Hansen, J. (2018). A Scientific Approach to Improve Physiological Capacity of an Elite Cyclist. International Journal of Sports Physiology and Performance, 13(3), 390-393. https://doi.org/10.1123/ijspp.2017-0228
Rosenblat, M. A., Perrotta, A. S., & Vicenzino, B. (2019). Polarized vs. Threshold Training Intensity Distribution on Endurance Sport Performance: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. Journal of Strength and Conditioning Research, 33(12), 3491-3500. https://doi.org/10.1519/JSC.0000000000002618
Schneeweiss, P., Schellhorn, P., Haigis, D., Niess, A. M., Martus, P., & Krauss, I. (2022). Effect of Two Different Training Interventions on Cycling Performance in Mountain Bike Cross-Country Olympic Athletes. Sports (Basel, Switzerland), 10(4), 53. https://doi.org/10.3390/sports10040053
Seiler, S. (2010). What is Best Practice for Training Intensity and Duration Distribution in Endurance Athletes? International Journal of Sports Physiology and Performance, 5(3), 276-291. https://doi.org/10.1123/ijspp.5.3.276
Selles-Perez, S., Fernández-Sáez, J., & Cejuela, R. (2019). Polarized and Pyramidal Training Intensity Distribution: Relationship with a Half-Ironman Distance Triathlon Competition. Journal of Sports Science & Medicine, 18(4), 708-715.
Silva Oliveira, P., Boppre, G., & Fonseca, H. (2024). Comparison of Polarized Versus Other Types of Endurance Training Intensity Distribution on Athletes' Endurance Performance: A Systematic Review with Meta-analysis. Sports Medicine (Auckland, N.Z.). https://doi.org/10.1007/s40279-024-02034-z
Sitko, S., Cirer-Sastre, R., Corbi, F., & López-Laval, I. (2022). Functional Threshold Power as an Alternative to Lactate Thresholds in Road Cycling. Journal of Strength and Conditioning Research, 36(11), 3179-3183. https://doi.org/10.1519/JSC.0000000000004070
Skinner, J. S., & Mclellan, T. H. (1980). The Transition from Aerobic to Anaerobic Metabolism. Research Quarterly for Exercise and Sport, 51(1), 234-248. https://doi.org/10.1080/02701367.1980.10609285
Tønnessen, E., Hisdal, J., & Ronnestad, B. R. (2020). Influence of Interval Training Frequency on Time-Trial Performance in Elite Endurance Athletes. International Journal of Environmental Research and Public Health, 17(9), 3190. https://doi.org/10.3390/ijerph17093190
Treff, G., Winkert, K., Sareban, M., Steinacker, J. M., Becker, M., & Sperlich, B. (2017). Eleven-Week Preparation Involving Polarized Intensity Distribution Is Not Superior to Pyramidal Distribution in National Elite Rowers. Frontiers in Physiology, 8, 515. https://doi.org/10.3389/fphys.2017.00515
Treff, G., Winkert, K., Sareban, M., Steinacker, J. M., & Sperlich, B. (2019). The Polarization-Index: A Simple Calculation to Distinguish Polarized From Non-polarized Training Intensity Distributions. Frontiers in Physiology, 10, 707. https://doi.org/10.3389/fphys.2019.00707
Valenzuela, P. L., Alejo, L. B., Montalvo-Pérez, A., Gil-Cabrera, J., Talavera, E., Lucia, A., & Barranco-Gil, D. (2021). Relationship Between Critical Power and Different Lactate Threshold Markers in Recreational Cyclists. Frontiers in Physiology, 12, 676484. https://doi.org/10.3389/fphys.2021.676484
van der Zwaard, S., Brocherie, F., & Jaspers, R. T. (2021). Under the Hood: Skeletal Muscle Determinants of Endurance Performance. Frontiers in Sports and Active Living, 3, 719434. https://doi.org/10.3389/fspor.2021.719434
World Medical Association. (2013). World Medical Association Declaration of Helsinki: Ethical principles for medical research involving human subjects. JAMA, 310(20), 2191-2194. https://doi.org/10.1001/jama.2013.281053
Yu, H., Chen, X., Zhu, W., & Cao, C. (2012). A quasi-experimental study of Chinese top-level speed skaters' training load: Threshold versus polarized model. International Journal of Sports Physiology and Performance, 7(2), 103-112. https://doi.org/10.1123/ijspp.7.2.103