Ultra Short Race Pace Training (USRPT) in Swimming. Do the Volume and Interval Matter? A Scoping Review
Abstract
:1. Introduction
High-Volume and Low-Intensity Training Types
2. Methods
3. Results
4. Discussion
4.1. Volume Calculation
The swimmers must implement USRPT until reaching failure under the prism of a training test set, regardless of the targeted event. Consequently, they will probably predict their performance and their tolerance according to the race demands. However, excessive utilization of USRPT in volume is preferable to be avoided by coaches as a daily routine because of the probable excessive psychological burden. Moreover, failure must be reached by modifying factors such as intensity and interval. On the other hand, USRPT is probably a solution for middle and especially long-distance swimmers, avoiding the excessive meters or yards that these swimmers have to swim. In conclusion, the presence of higher intensity and lower volume sets is also important for energy demand variations during a swimming event. Lastly, short-distance swimmers may not benefit from the volume of USRPT; therefore, the volume of other training types such as SIIT and HIIT sets must also be implemented.
4.2. Interval
Swimming coaches need a training set that can simultaneously improve and predict their swimmers’ performance. USRPT has great potential to be implemented by coaches for these reasons. However, it is suggested that interval variations depend on the physiological burden of the targeted event and the volume of the USRPT set. Therefore, it is proposed that for short-distance events (50–100 m), USRPT protocols consist of a work-to-rest ratio of 1:1 or 1:2, allowing more time for the aerobic contribution to fulfill energy supplies (HIIT and SIIT approach). On the other hand, for middle- and long-distance events (400–10,000 m), where intensity in a USRPT set is submaximal, a rest ratio ranging from 5 to 20 s, depending on the swimmer’s level and the desired challenge set by the coach, seems to fit better (Table 3).
5. Conclusions
Supplementary Materials
Funding
Institutional Review Board Statement
Informed Consent Statement
Conflicts of Interest
Appendix A
References
- Gastin, P.B. Energy system interaction and relative contribution during maximal exercise. Sports Med. 2001, 31, 725–741. [Google Scholar] [CrossRef] [PubMed]
- Duffield, R.; Dawson, B.; Goodman, C. Energy system contribution to 100-m and 200-m track running events. J. Sci. Med. Sport 2004, 7, 302–313. [Google Scholar] [CrossRef] [PubMed]
- Papadimitriou, K.; Papadimitriou, N.; Gourgoulis, V.; Barkoukis, V.; Loupos, D. Assessment of young swimmers’ technique with Tec Pa Tool. Cent. Eur. J. Sport Sci. Med. 2021, 34, 39–51. [Google Scholar] [CrossRef]
- Achten, J.; Jeukendrup, A.E. Heart rate monitoring: Applications and limitations. Sports Med. 2003, 33, 517–538. [Google Scholar] [CrossRef]
- Olstad, B.H.; Bjørlykke, V.; Olstad, D.S. Maximal heart rate for swimmers. Sports 2019, 7, 235. [Google Scholar] [CrossRef]
- Nagle, E.F.; Nagai, T.; Beethe, A.Z.; Lovalekar, M.T.; Zera, J.N.; Connaboy, C.; Abt, J.P.; Beals, K.; Nindl, B.C.; Robertson, R.J.; et al. Reliability and validity of a pool-based maximal oxygen uptake test to examine high-intensity short-duration freestyle swimming performance. J. Strength Cond. Res. 2019, 33, 1208–1215. [Google Scholar] [CrossRef]
- Maglischo, E.W. Swimming Fastest; Human Kinetics: Champaign, IL, USA, 2003. [Google Scholar]
- Kabasakalis, A.; Nikolaidis, S.; Tsalis, G.; Mougios, V. Response of blood biomarkers to sprint interval swimming. Int. J. Sports Physiol. Perform. 2020, 15, 1442–1447. [Google Scholar] [CrossRef]
- Papadimitriou, K.; Kabasakalis, A.; Papadopoulos, A.; Mavridis, G.; Tsalis, G. Comparison of ultra-short race pace and high-intensity interval training in age group competitive swimmers. Sports 2023, 11, 186. [Google Scholar] [CrossRef]
- Papadimitriou, K.; Savvoulidis, S. The effects of two different HIIT resting protocols on children’s swimming efficiency and performance. Cent. Eur. J. Sports Sci. Med. 2020, 30, 15–24. [Google Scholar] [CrossRef]
- Papadimitriou, K. Intensity and pace calculation of ultra-short race pace training (USRPT) in swimming—Take-home messages and statements for swimming coaches. Sports 2024, 12, 227. [Google Scholar] [CrossRef]
- Faude, O.; Meyer, T.; Scharhag, J.; Weins, F.; Urhausen, A.; Kindermann, W. Volume vs. intensity in the training of competitive swimmers. Int. J. Sports Med. 2008, 29, 906–912. [Google Scholar] [CrossRef] [PubMed]
- Sperlich, B.; De Marées, M.; Koehler, K.; Linville, J.; Holmberg, H.C.; Mester, J. Effects of 5 weeks of high-intensity interval training vs. volume training in 14-year-old soccer players. J. Strength Cond. Res. 2011, 25, 1271–1278. [Google Scholar] [CrossRef] [PubMed]
- Filipas, L.; Bonato, M.; Gallo, G.; Codella, R. Effects of 16 weeks of pyramidal and polarized training intensity distributions in well-trained endurance runners. Scand. J. Med. Sci. Sports 2022, 32, 498–511. [Google Scholar] [CrossRef] [PubMed]
- Treff, G.; Winkert, K.; Sareban, M.; Steinacker, J.M.; Sperlich, B. The polarization-index: A simple calculation to distinguish polarized from non-polarized training intensity distributions. Front. Physiol. 2019, 10, 707. [Google Scholar] [CrossRef]
- Seiler, K.S.; Kjerland, G.Ø. Quantifying training intensity distribution in elite endurance athletes: Is there evidence for an “optimal” distribution? Scand. J. Med. Sci. Sports 2006, 16, 49–56. [Google Scholar] [CrossRef]
- Heck, H.; Mader, A.; Hess, G.; Mücke, S.; Müller, R.; Hollmann, W. Justification of the 4-mmol/l lactate threshold. Int. J. Sports Med. 1985, 6, 117–130. [Google Scholar] [CrossRef]
- Pla, R.; Le Meur, Y.; Aubry, A.; Toussaint, J.F.; Hellard, P. Effects of a 6-week period of polarized or threshold training on performance and fatigue in elite swimmers. Int. J. Sports Physiol. Perform. 2019, 14, 183–191. [Google Scholar] [CrossRef]
- Arroyo-Toledo, J.J.; Sortwell, A.; Clemente-Suárez, V.J. The effect of 12 weeks of pyramidal and polarized training intensity distribution in national elite adolescent swimmers. J. Swim. Res. 2021, 28, 36. [Google Scholar]
- Hermosilla, F.; González-Rave, J.M.; Del Castillo, J.A.; Pyne, D.B. Periodization and programming for individual 400 m medley swimmers. Int. J. Environ. Res. Public Health 2021, 18, 6474. [Google Scholar] [CrossRef]
- Selles-Perez, S.; Fernández-Sáez, J.; Cejuela, R. Polarized and pyramidal training intensity distribution: Relationship with a half-Ironman distance triathlon competition. J. Sports Sci. Med. 2019, 18, 708–715. [Google Scholar]
- Tnønessen, E.; Sylta, Ø.; Haugen, T.A.; Erlend, H.; Suendsen, I.; Seiler, S. The road to gold: Training and peaking characteristics in the year prior to a gold medal endurance performance. PLoS ONE 2014, 9, 12–17. [Google Scholar] [CrossRef]
- Muñoz, I.; Seiler, S.; Bautista, J.; España, J.; Esteve-Lanao, J. Does polarized training improve performance in recreational runners? Int. J. Sports Physiol. Perform. 2014, 9, 265–272. [Google Scholar] [CrossRef] [PubMed]
- Esteve-Lanao, J.; Foster, C.; Seiler, S.; Lucia, A. Impact of training intensity distribution on performance in endurance athletes. J. Strength Cond. Res. 2007, 21, 943–949. [Google Scholar] [PubMed]
- Rushall, B.S. Understanding a USRPT set. Swim. Sci. Bull. 2013, 45, 1–4. Available online: https://coachsci.sdsu.edu/swim/bullets/45e%20UNDERSTANDING.pdf (accessed on 11 June 2023).
- Rushall, B.S. Step-by-step USRPT planning and decision-making processes and examples of USRPT training sessions, microcycles, macrocycles, and technique instruction. Swim. Sci. Bull. 2018, 47e, 1–4. Available online: https://coachsci.sdsu.edu/swim/bullets/47GUIDE.pdf (accessed on 11 June 2023).
- Astrand, I.; Astrand, P.O.; Christensen, E.H.; Hedman, R. Intermittent Muscular Work. Acta Physiol. Scand. 1960, 48, 448–453. [Google Scholar] [CrossRef]
- Beidaris, N.; Botonis, P.; Platanou, T. Physiological and Performance Characteristics of 200 m Continuous Swimming and 4 × 50 m “Broken” Swimming with Different Interval Time Demands. In Proceedings of the XIVth International Symposium of Biomechanics and Medicine in Swimming, Oslo, Norway, 16–19 June 2010; pp. 16–19. Available online: https://coachsci.sdsu.edu/swim/training/beidaris.htm (accessed on 11 June 2023).
- Page, M.J.; McKenzie, J.E.; Bossuyt, P.M.; Boutron, I.; Hoffmann, T.C.; Mulrow, C.D.; Shamseer, L.; Tetzlaff, J.M.; Akl, E.A.; Brennan, S.E.; et al. The PRISMA 2020 Statement: An Updated Guideline for Reporting Systematic Reviews. BMJ 2020, 372, n71. [Google Scholar] [CrossRef]
- Higgins, J.P.T.; Li, T.; Sterne, J.; on behalf of the RoB 2 Working Group. Revised Cochrane Risk of Bias Tool for Randomized Trials (RoB 2); Additional Considerations for Crossover Trials. 2021. Available online: https://www.unisa.edu.au/contentassets/72bf75606a2b4abcaf7f17404af374ad/rob2-0_indiv_main_guidance.pdf (accessed on 20 October 2016).
- Cuenca-Fernández, F.; Boullosa, D.; Ruiz-Navarro, J.J.; Gay, A.; Morales-Ortíz, E.; López-Contreras, G.; Arellano, R. Lower Fatigue and Faster Recovery of Ultra-Short Race Pace Swimming Training Sessions. Res. Sports Med. 2021, 31, 21–34. [Google Scholar] [CrossRef]
- Williamson, D.; McCarthy, E.; Ditroilo, M. Acute Physiological Responses to Ultra Short Race-Pace Training in Competitive Swimmers. J. Hum. Kinet. 2020, 75, 95–102. [Google Scholar] [CrossRef]
- Nugent, F.; Comyns, T.; Kearney, P.; Warrington, G. Ultra-Short Race-Pace Training (USRPT) in Swimming: Current Perspectives. Open Access J. Sports Med. 2019, 10, 133–144. [Google Scholar] [CrossRef]
- Smilios, I.; Pilianidis, T.; Karamouzis, M.; Tokmakidis, S.P. Hormonal responses after various resistance exercise protocols. Med. Sci. Sports Exerc. 2003, 35, 644–654. [Google Scholar] [CrossRef] [PubMed]
- Krzysztofik, M.; Wilk, M.; Wojdała, G.; Gołaś, A. Maximizing Muscle Hypertrophy: A Systematic Review of Advanced Resistance Training Techniques and Methods. Int. J. Environ. Res. Public Health 2019, 16, 4897. [Google Scholar] [CrossRef] [PubMed]
- Rushall, B.S. USRPT and training theory II: The overload principle. Swimming Sci. Bull. 2016, 60b, 1–20. [Google Scholar]
- Chortane, O.G.; Amara, S.; Barbosa, T.M.; Hammami, R.; Khalifa, R.; Chortane, S.G.; van den Tillaar, R. Effect of High-Volume Training on Psychological State and Performance in Competitive Swimmers. Int. J. Environ. Res. Public Health 2022, 19, 7619. [Google Scholar] [CrossRef]
- Magill, R.; Lee, T.D. Interference during the post-KR interval can enhance learning motor skills. In Proceedings of the Annual Conference of the Canadian Society of Psychomotor Learning and Sport Psychology, Kingston, ON, Canada, October 1984. [Google Scholar]
- Baker, J.S.; McCormick, M.C.; Robergs, R.A. Interaction among Skeletal Muscle Metabolic Energy Systems during Intense Exercise. J. Nutr. Metab. 2010, 2010, 905612. [Google Scholar] [CrossRef]
- Terzi, E.; Skari, A.; Nikolaidis, S.; Papadimitriou, K.; Kabasakalis, A.; Mougios, V. Relevance of a Sprint Interval Swim Training Set to the 100-Meter Freestyle Event Based on Blood Lactate and Kinematic Variables. J. Hum. Kinet. 2021, 80, 153–161. [Google Scholar] [CrossRef]
- Papadimitriou, K.; Savvoulidis, S. Does High Intensity Interval Training (HIIT) Have an Effect on Young Swimmer’s Performance? J. Sports Sci. Rec. 2017, 25, 20–29. [Google Scholar]
- Avlonitou, E. Maximal lactate values following competitive performance varying according to age, sex and swimming style. J. Sports Med. Phys. Fit. 1996, 36, 24–30. [Google Scholar]
- Vescovi, J.D.; Falenchuk, O.; Wells, G.D. Blood lactate concentration and clearance in elite swimmers during competition. Int. J. Sports Physiol. Perform. 2011, 6, 106–117. [Google Scholar] [CrossRef]
- Zacca, R.; Lopes, A.L.; Teixeira, B.C.; da Silva, L.M.; de Matos, C.C.; de Souza Castro, F.A. Lactate peak in youth swimmers: Quantity and time interval for measurement after 50–1500 maximal efforts in front crawl. J. Physiol. 2014, 66, 90–95. [Google Scholar]
Authors | Participants | Training Content | Variables Studied | Results | |
---|---|---|---|---|---|
Papadimitriou et al. [9] |
| USRPT: 20 × 25 m front crawl @40 s on 100 m pace HIIT: 5 × 50 m front crawl @3 min | Acute response and comparison of BL, BG, DPS, SR, SV, SI, HR, and RPE | HIIT DPS ↑ SI ↑ BL ↑ HR ↑ | USRPT SV ↑ |
Papadimitriou [11] |
| - | Systematic review |
| |
Cuenca-Fernández et al. [31] |
| USRPT: 20 × 50 m front crawl @60 and 70 s for ♂ and ♀, on 200 m pace RPT: 10 × 100 m front crawl @130 and 140 s for ♂ and ♀, on 200 m pace | Acute response of BL, SC, and CMJ | RPT BL ↑ SC ↑ CMJ ↓ Compared to USRPT | |
Williamson, McCarthy, and Ditroilo [32] |
| USRPT: 20 × 25 m front crawl @35 s on 100 m pace | Acute response of BL, HR, and RPE | USRPT BL ↑ HR ↑ RPE ↑ | |
Nugent et al. [33] | - | - | Systematic review |
|
Events (m) | USRPT Approach (m) | Traditional Training (m) | |||||||
×3 | ×4 | ×5 | ×6 | ×7 | ×8 | ×9 | ×10 | ||
100 | 300 | 400 | 500 | 600 | 700 | 800 | 900 | 1000 | HIIT and SIIT sets are implemented on volumes varying from 100 to 300 m. |
200 | 600 | 800 | 1000 | 1200 | 1400 | 1600 | 1800 | 2000 | HIIT sets are implemented on volumes varying from 200 to 600 m. |
400 | 1200 | 1600 | 2000 | 2400 | 2800 | 3200 | 3600 | 4000 | Combined HIIT, VO2max, and Threshold sets are implemented on volumes varying from 800 to 2000 m. |
800 | 2400 | 3200 | 4000 | 4800 | 5600 | 6400 | 7200 | 8000 | Combined HIIT, VO2max, and Threshold sets are implemented on volumes varying from 1000 to 3000 m. |
1500 | 4500 | 6000 | 7500 | 9000 | 10,500 | 12,000 | 13,500 | 15,000 | Combined HIIT, VO2max, and Threshold sets are implemented on volumes varying from 1000 to 6000 m. |
Event (m) | Proposed Sets and Intervals During a USRPT (s) |
50 | 2 × (10 × 10 m), @1:2 |
100 | 20 × 25 m, @1:1 or 10 × 50 m, @1:1 |
200 | 20 × 25 m, @1:1 or 10 × 50 m, @1:1 |
400 | 60 × 25 m, @10 s or 30 × 50 m, @20 s or 15 × 100 m, @40–60 s |
800 | 60 × 50 m, @5–10 s or 30 × 100 m, @20 s or 15 × 200 m, @40 s |
1500 | 90 × 50 m, @5–10 s or 45 × 100 m, @10–15 s or 20 × 200 m, @20–30 s or 10 × 400 m, @40–50 s |
10,000 | 100 × 100 m, @5–10 s or 50 × 200 m, @10–20 s or 25 × 400 m, @20–30 s or 10 × 1000 m, @30–40 s |
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Papadimitriou, K. Ultra Short Race Pace Training (USRPT) in Swimming. Do the Volume and Interval Matter? A Scoping Review. Physiologia 2024, 4, 506-516. https://doi.org/10.3390/physiologia4040034
Papadimitriou K. Ultra Short Race Pace Training (USRPT) in Swimming. Do the Volume and Interval Matter? A Scoping Review. Physiologia. 2024; 4(4):506-516. https://doi.org/10.3390/physiologia4040034
Chicago/Turabian StylePapadimitriou, Konstantinos. 2024. "Ultra Short Race Pace Training (USRPT) in Swimming. Do the Volume and Interval Matter? A Scoping Review" Physiologia 4, no. 4: 506-516. https://doi.org/10.3390/physiologia4040034
APA StylePapadimitriou, K. (2024). Ultra Short Race Pace Training (USRPT) in Swimming. Do the Volume and Interval Matter? A Scoping Review. Physiologia, 4(4), 506-516. https://doi.org/10.3390/physiologia4040034