Titulo:
Distribución de intensidades de entrenamiento sobre el tiempo de carrera en corredores recreativos de resistencia: revisión de alcance
.
Sumario:
Problema: La intensidad en el entrenamiento de la resistencia es importante para mejorar el tiempo de carrera; su manipulación óptima en corredores recreativos no ha sido estudiada ampliamente. El modelo de distribución de intensidad del entrenamiento (DIE) polarizado emerge como posibilidad para reducir el tiempo de carrera. Sin embargo, falta demostrar su efecto comparado con otros modelos de DIE. Objetivo: Explorar el estado actual de la evidencia científica y sus vacíos respecto al efecto del modelo de DIE polarizado sobre el tiempo de carrera en corredores recreativos, en comparación con otros modelos de DIE. Método: Se realizó una revisión de alcance sin restricción de fechas en PubMed, EBSCO, SciELO, LILACS y Google Scholar. Se inclu... Ver más
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FUNDACION UNIVERSITARIA MARIA CANO |
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Revista de Investigación e Innovación en Ciencias de la Salud |
| title |
Distribución de intensidades de entrenamiento sobre el tiempo de carrera en corredores recreativos de resistencia: revisión de alcance |
| spellingShingle |
Distribución de intensidades de entrenamiento sobre el tiempo de carrera en corredores recreativos de resistencia: revisión de alcance Cruz-González , Jerman Jesyd Arboleda-Serna, Víctor Hugo Distribución de intensidades del entrenamiento modelo polarizado corredores recreativos tiempo de carrera atletismo corredores de fondo modelo umbral modelo piramidal entrenamiento de alta intensidad zonas de entrenamiento alto volumen y baja intensidad entrenamiento de resistencia Training intensity distribution polarized training amateur runners race time distance runners threshold training pyramidal training high-intensity training training zones high volume and low-intensity training endurance training |
| title_short |
Distribución de intensidades de entrenamiento sobre el tiempo de carrera en corredores recreativos de resistencia: revisión de alcance |
| title_full |
Distribución de intensidades de entrenamiento sobre el tiempo de carrera en corredores recreativos de resistencia: revisión de alcance |
| title_fullStr |
Distribución de intensidades de entrenamiento sobre el tiempo de carrera en corredores recreativos de resistencia: revisión de alcance |
| title_full_unstemmed |
Distribución de intensidades de entrenamiento sobre el tiempo de carrera en corredores recreativos de resistencia: revisión de alcance |
| title_sort |
distribución de intensidades de entrenamiento sobre el tiempo de carrera en corredores recreativos de resistencia: revisión de alcance |
| description |
Problema: La intensidad en el entrenamiento de la resistencia es importante para mejorar el tiempo de carrera; su manipulación óptima en corredores recreativos no ha sido estudiada ampliamente. El modelo de distribución de intensidad del entrenamiento (DIE) polarizado emerge como posibilidad para reducir el tiempo de carrera. Sin embargo, falta demostrar su efecto comparado con otros modelos de DIE.
Objetivo: Explorar el estado actual de la evidencia científica y sus vacíos respecto al efecto del modelo de DIE polarizado sobre el tiempo de carrera en corredores recreativos, en comparación con otros modelos de DIE.
Método: Se realizó una revisión de alcance sin restricción de fechas en PubMed, EBSCO, SciELO, LILACS y Google Scholar. Se incluyeron estudios controlados aleatorios, estudios cuasiexperimentales y estudios de caso, que tuvieran como DIE el modelo polarizado en corredores recreativos sobre el tiempo de carrera.
Resultados: Cinco estudios evaluaron el efecto en el tiempo de carrera usando el modelo de DIE polarizado comparado con otros modelos en corredores recreativos; cuatro de ellos no mostraron diferencias entre grupos en los tiempos de carrera en dos, cinco y diez km. Solo un estudio mostró diferencias significativas en el tiempo de carrera en 21 km.
Conclusiones: El modelo con DIE polarizado no mostró diferencias significativas en el tiempo de carrera comparado con otros modelos, a excepción de un reporte de caso en el cual la DIE polarizado fue superior en 21 km comparado la DIE umbral: 1 hora. 20 min. 22 s y 1 hora. 26 min. 34 s, respectivamente. La escasa evidencia encontrada, la heterogeneidad en las distancias en el tiempo de carrera evaluado, la distribución de zonas en una misma DIE, la duración de las intervenciones y la monitorización de las cargas son las principales limitaciones encontradas en los estudios. La DIE polarizado podría contribuir a la adherencia, a una menor percepción del esfuerzo y a la prevención de lesiones. No obstante, esto debe ser probado en estudios futuros.
|
| description_eng |
Problem: Intensity in endurance training is important for improving race time; its optimal handling in amateur runners has not been extensively studied. The polarized training intensity distribution (TID) model emerges as a possibility to reduce race time; however, effect of this model remains to be demonstrated compared to other TID models.
Objective: The objective of this study is to explore the current state of the evidence and its the gaps, according to the effect of the polarized TID model on race time in amateur runners compared to other TID models.
Method: A scoping review without date restrictions was carried out in PubMed, EBSCO, SciELO, LILACS, and Google Scholar. Randomized controlled studies, quasi-experimental studies, and case studies, which comprise polarized TID model in amateur runners on race time, were include.
Results: Five studies evaluated the effect on running time using the polarized TID model compared to other models in amateur runners; four of them did not show differences between groups in the race times in two, five, and ten km. Only one study showed significant differences in the race time at 21 km.
Conclusions: The model with polarized TID did not show significant differences in race time compared to other models, except for a case report in which the polarized TID was higher by 21 km compared to the threshold TID: 1 hour. 20 min. 22 seconds and 1 hour. 26 min. 34s, respectively. The scarce evidence found, the heterogeneity in the distances in the evaluated race time, the distribution of zones in the same TID, the duration of the interventions, and the monitoring of the loads, are the main limitations found in the studies. The polarized TID could contribute to adherence, lower perception of effort, and injury prevention. However, this must be tested in future studies.
|
| author |
Cruz-González , Jerman Jesyd Arboleda-Serna, Víctor Hugo |
| author_facet |
Cruz-González , Jerman Jesyd Arboleda-Serna, Víctor Hugo |
| topicspa_str_mv |
Distribución de intensidades del entrenamiento modelo polarizado corredores recreativos tiempo de carrera atletismo corredores de fondo modelo umbral modelo piramidal entrenamiento de alta intensidad zonas de entrenamiento alto volumen y baja intensidad entrenamiento de resistencia |
| topic |
Distribución de intensidades del entrenamiento modelo polarizado corredores recreativos tiempo de carrera atletismo corredores de fondo modelo umbral modelo piramidal entrenamiento de alta intensidad zonas de entrenamiento alto volumen y baja intensidad entrenamiento de resistencia Training intensity distribution polarized training amateur runners race time distance runners threshold training pyramidal training high-intensity training training zones high volume and low-intensity training endurance training |
| topic_facet |
Distribución de intensidades del entrenamiento modelo polarizado corredores recreativos tiempo de carrera atletismo corredores de fondo modelo umbral modelo piramidal entrenamiento de alta intensidad zonas de entrenamiento alto volumen y baja intensidad entrenamiento de resistencia Training intensity distribution polarized training amateur runners race time distance runners threshold training pyramidal training high-intensity training training zones high volume and low-intensity training endurance training |
| citationvolume |
4 |
| citationissue |
2 |
| publisher |
Fundación Universitaria María Cano |
| ispartofjournal |
Revista de Investigación e Innovación en Ciencias de la Salud |
| source |
https://riics.info/index.php/RCMC/article/view/136 |
| language |
eng |
| format |
Article |
| rights |
https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es Revista de Investigación e Innovación en Ciencias de la Salud - 2022 This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. info:eu-repo/semantics/openAccess http://purl.org/coar/access_right/c_abf2 |
| references_eng |
Kinderman W, Simon G, Keul J. Developmental changes in carbohydrate moiety of human alpha‐fetoprotein. Int J Cancer. 1978;22(5):515-20. doi: https://doi.org/10.1002/ijc.2910220502 2. Skinner JS, McLellan TH. The Transition from Aerobic to Anaerobic Metabolism. Res Q Exerc Sport. 1980;51(1):234-48. doi: https://doi.org/10.1080/02701367.1980.10609285 3. Hydren J, Bruce C. Current scientific evidence for a polarized cardiovascular endurance training model. J strength Cond Res [Internet]. 2015;29(12). doi: https://doi.org/10.1519/JSC.0000000000001197 4. Seiler S. What is best practice for training intensity and duration distribution in endurance athletes? Int J Sports Physiol Perform [Internet]. 2010;5(3):276-91. doi: https://doi.org/10.1123/ijspp.5.3.276 5. Campos Y, Casado A, Vieira JG, Guimarães M, Sant'Ana L, Leitão L, et al. Training-intensity Distribution on Middle- And Long-distance Runners: A Systematic Review. Int J Sports Med [Internet]. 2021. doi: https://doi.org/10.1055/a-1559-3623 6. 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 Sport [Internet]. 2022;32(3):498-511. doi: https://doi.org/10.1111/sms.14101 7. Festa L, Tarperi C, Skroce K, La Torre A, Schena F. Effects of Different Training Intensity Distribution in Recreational Runners. Front Sport Act Living [Internet]. 2020;1(January):1-7. doi: https://doi.org/10.3389/fspor.2019.00070 8. Stöggl TL, Sperlich B. The training intensity distribution among well-trained and elite endurance athletes. Front Physiol [Internet]. 2015;6(OCT):295. doi: https://doi.org/10.3389/fphys.2015.00295 9. Muñoz I, Seiler S, Bautista J, España J, Larumbe E, Esteve-Lanao J. Does polarized training improve performance in recreational runners? Int J Sports Physiol Perform [Internet]. 2014;9(2):265-72. doi: https://doi.org/10.1123/ijspp.2012-0350 10. Röhrken G, Held S, Donath L. Six Weeks of Polarized Versus Moderate Intensity Distribution: A Pilot Intervention Study. Front Physiol [Internet]. 2020;11(November):1-11. doi: https://doi.org/10.3389/fphys.2020.534688 11. Treff G, Winkert K, Sareban M, Steinacker JM, Sperlich B. The polarization-index: A simple calculation to distinguish polarized from non-polarized training intensity distributions. Front Physiol [Internet]. 2019;10(JUN):1-6. doi: https://doi.org/10.3389/fphys.2019.00707 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 [Internet]. 2021;21(6):819-26. doi: https://doi.org/10.1080/17461391.2020.1773934 13. Kenneally M, Casado A, Santos-Concejero J. The Effect of Periodization and Training Intensity Distribution on Middle- and Long-Distance Running Performance: A Systematic Review. International Journal of Sports Physiology and Performance [Internet]. 2018 Oct 1;13(9):1114–21. doi: http://dx.doi.org/10.1123/ijspp.2017-0327 14. Stöggl T, Sperlich B. Polarized training has greater impact on key endurance variables than threshold, high intensity, or high volume training. Front Physiol [Internet]. 2014;5 FEB(February):1-9. doi: https://doi.org/10.3389/fphys.2014.00033 15. Carnes AJ, Mahoney SE. Polarized vs. High Intensity Multimodal Training in Recreational Runners. Int J Sport Physiol Perform J Int J Sport Physiol Perform [Internet]. 2018;1-28. doi: https://doi.org/10.1123/ijspp.2018-0040 16. Zinner C, Schäfer Olstad D, Sperlich B. Mesocycles with different training intensity distribution in recreational runners. Med Sci Sports Exerc [Internet]. 2018;50(8):1641-8. doi: https://doi.org/10.1249/MSS.0000000000001599 17. Auersperger I, Jurov I, Laurencak K, Leskosek B, Skof B. The effect of a short-term training period on physiological parameters and running performance in recreationally active female runners. Sport Mont [Internet]. 2020;18(1):69-74. doi: https://doi.org/10.26773/smj.200212 18. Muñoz I, Varela-Sanz A. Training intensity distribution and performance of a recreational male endurance runner. A case report. J Phys Educ Sport. 2018;18(4):2257-63. Available from: https://efsupit.ro/images/stories/decembrie2018/Art%20340.pdf 19. Pérez A, Ramos-Campo DJ, Freitas TT, Rubio-Arias J, Marín-Cascales E, Alcaraz PE. Effect of two different intensity distribution training programmes on aerobic and body composition variables in ultra-endurance runners. Eur J Sport Sci [Internet]. 2019;19(5):636-44. doi: https://doi.org/10.1080/17461391.2018.1539124 20. Sellés Pérez S, Fernández-Sáez J, Cejuela R. 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Int J Sports Physiol Perform [Internet]. 2019;14(2):183-9. doi: https://doi.org/10.1123/ijspp.2018-0179 24. Foster C, Rodriguez-Marroyo JA, De Koning JJ. Monitoring training loads: The past, the present, and the future. Int J Sports Physiol Perform [Internet]. 2017;12:2-8. doi: https://doi.org/10.1123/IJSPP.2016-0388 25. 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 [Internet]. 2022;17(6):820-33. doi: https://doi.org/10.1123/ijspp.2021-0435 26. Andersen JJ. The State of Running 2019 | RunRepeat [Internet]. 2019 [cited 2022 Sep 1]. Available from: https://runrepeat.com/state-of-running 27. 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 [Internet]. 2020;8(3):35. doi: https://doi.org/10.3390/sports8030035 28. Haugen T, Sandbakk Ø, Seiler S, Tønnessen E. The Training Characteristics of World-Class Distance Runners: An Integration of Scientific Literature and Results-Proven Practice. Sport Med - Open [Internet]. 2022;8(1). doi: https://doi.org/10.1186/s40798-022-00438-7 29. Bourgois JG, Bourgois G, Boone J. Perspectives and determinants for training-intensity distribution in elite endurance athletes. Int J Sports Physiol Perform [Internet]. 2019;14(8):1151-6. doi: https://doi.org/10.1123/ijspp.2018-0722 30. Seiler KS, Kjerland GØ. Quantifying training intensity distribution in elite endurance athletes: Is there evidence for an "optimal" distribution? Scand J Med Sci Sport [Internet]. 2006;16(1):49-56. doi: https://doi.org/10.1111/j.1600-0838.2004.00418.x 31. Muñoz I, Cejuela R, Seiler S, Larumbe E, Esteve-Lanao J. Training-intensity distribution during an ironman season: Relationship with competition performance. Int J Sports Physiol Perform [Internet]. 2014;9(2):332-9. doi: https://doi.org/10.1123/ijspp.2012-0352 32. Arksey H, O'Malley L. Scoping studies: Towards a methodological framework. Int J Soc Res Methodol Theory Pract [Internet]. 2005;8(1):19-32. doi: https://doi.org/10.1080/1364557032000119616 33. Tricco AC, Lillie E, Zarin W, O'Brien KK, Colquhoun H, Levac D, et al. PRISMA extension for scoping reviews (PRISMA-ScR): Checklist and explanation. Ann Intern Med [Internet]. 2018;169(7):467-73. doi: https://doi.org/10.7326/M18-0850 34. Alvero-Cruz JR, Carnero EA, García MAG, Cárceles FA, Correas-Gómez L, Rosemann T, et al. Predictive performance models in long-distance runners: A narrative review. Int J Environ Res Public Health [Internet]. 2020;17(21):1-22. doi: https://doi.org/10.3390/ijerph17218289 35. World Athletics. Reglamento de competición y técnico World Athletics 2022. 1-284. Avalilable from: https://www.rfea.es/jueces/publicaciones/Reglamento_Competicion2022_WorldAthleticsESP.pdf 36. Borresen J, Lambert MI. The Quantification of Training Load, Effect on Performance. Sport Med [Internet]. 2009;39(9):779-95. doi: https://doi.org/10.2165/11317780-000000000-00000 |
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Distribución de intensidades de entrenamiento sobre el tiempo de carrera en corredores recreativos de resistencia: revisión de alcance Distribución de intensidades de entrenamiento sobre el tiempo de carrera en corredores recreativos de resistencia: revisión de alcance Problema: La intensidad en el entrenamiento de la resistencia es importante para mejorar el tiempo de carrera; su manipulación óptima en corredores recreativos no ha sido estudiada ampliamente. El modelo de distribución de intensidad del entrenamiento (DIE) polarizado emerge como posibilidad para reducir el tiempo de carrera. Sin embargo, falta demostrar su efecto comparado con otros modelos de DIE. Objetivo: Explorar el estado actual de la evidencia científica y sus vacíos respecto al efecto del modelo de DIE polarizado sobre el tiempo de carrera en corredores recreativos, en comparación con otros modelos de DIE. Método: Se realizó una revisión de alcance sin restricción de fechas en PubMed, EBSCO, SciELO, LILACS y Google Scholar. Se incluyeron estudios controlados aleatorios, estudios cuasiexperimentales y estudios de caso, que tuvieran como DIE el modelo polarizado en corredores recreativos sobre el tiempo de carrera. Resultados: Cinco estudios evaluaron el efecto en el tiempo de carrera usando el modelo de DIE polarizado comparado con otros modelos en corredores recreativos; cuatro de ellos no mostraron diferencias entre grupos en los tiempos de carrera en dos, cinco y diez km. Solo un estudio mostró diferencias significativas en el tiempo de carrera en 21 km. Conclusiones: El modelo con DIE polarizado no mostró diferencias significativas en el tiempo de carrera comparado con otros modelos, a excepción de un reporte de caso en el cual la DIE polarizado fue superior en 21 km comparado la DIE umbral: 1 hora. 20 min. 22 s y 1 hora. 26 min. 34 s, respectivamente. La escasa evidencia encontrada, la heterogeneidad en las distancias en el tiempo de carrera evaluado, la distribución de zonas en una misma DIE, la duración de las intervenciones y la monitorización de las cargas son las principales limitaciones encontradas en los estudios. La DIE polarizado podría contribuir a la adherencia, a una menor percepción del esfuerzo y a la prevención de lesiones. No obstante, esto debe ser probado en estudios futuros. Problem: Intensity in endurance training is important for improving race time; its optimal handling in amateur runners has not been extensively studied. The polarized training intensity distribution (TID) model emerges as a possibility to reduce race time; however, effect of this model remains to be demonstrated compared to other TID models. Objective: The objective of this study is to explore the current state of the evidence and its the gaps, according to the effect of the polarized TID model on race time in amateur runners compared to other TID models. Method: A scoping review without date restrictions was carried out in PubMed, EBSCO, SciELO, LILACS, and Google Scholar. Randomized controlled studies, quasi-experimental studies, and case studies, which comprise polarized TID model in amateur runners on race time, were include. Results: Five studies evaluated the effect on running time using the polarized TID model compared to other models in amateur runners; four of them did not show differences between groups in the race times in two, five, and ten km. Only one study showed significant differences in the race time at 21 km. Conclusions: The model with polarized TID did not show significant differences in race time compared to other models, except for a case report in which the polarized TID was higher by 21 km compared to the threshold TID: 1 hour. 20 min. 22 seconds and 1 hour. 26 min. 34s, respectively. The scarce evidence found, the heterogeneity in the distances in the evaluated race time, the distribution of zones in the same TID, the duration of the interventions, and the monitoring of the loads, are the main limitations found in the studies. The polarized TID could contribute to adherence, lower perception of effort, and injury prevention. However, this must be tested in future studies. Cruz-González , Jerman Jesyd Arboleda-Serna, Víctor Hugo Distribución de intensidades del entrenamiento modelo polarizado corredores recreativos tiempo de carrera atletismo corredores de fondo modelo umbral modelo piramidal entrenamiento de alta intensidad zonas de entrenamiento alto volumen y baja intensidad entrenamiento de resistencia Training intensity distribution polarized training amateur runners race time distance runners threshold training pyramidal training high-intensity training training zones high volume and low-intensity training endurance training 4 2 Artículo de revista Journal article 2022-09-08T17:27:12Z 2022-09-08T17:27:12Z 2022-09-08 text/html text/xml application/pdf Fundación Universitaria María Cano Revista de Investigación e Innovación en Ciencias de la Salud 2665-2056 https://riics.info/index.php/RCMC/article/view/136 10.46634/riics.136 https://doi.org/10.46634/riics.136 eng https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es Revista de Investigación e Innovación en Ciencias de la Salud - 2022 This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. 137 149 Kinderman W, Simon G, Keul J. Developmental changes in carbohydrate moiety of human alpha‐fetoprotein. Int J Cancer. 1978;22(5):515-20. doi: https://doi.org/10.1002/ijc.2910220502 2. Skinner JS, McLellan TH. The Transition from Aerobic to Anaerobic Metabolism. Res Q Exerc Sport. 1980;51(1):234-48. doi: https://doi.org/10.1080/02701367.1980.10609285 3. Hydren J, Bruce C. Current scientific evidence for a polarized cardiovascular endurance training model. J strength Cond Res [Internet]. 2015;29(12). doi: https://doi.org/10.1519/JSC.0000000000001197 4. Seiler S. What is best practice for training intensity and duration distribution in endurance athletes? Int J Sports Physiol Perform [Internet]. 2010;5(3):276-91. doi: https://doi.org/10.1123/ijspp.5.3.276 5. Campos Y, Casado A, Vieira JG, Guimarães M, Sant'Ana L, Leitão L, et al. Training-intensity Distribution on Middle- And Long-distance Runners: A Systematic Review. Int J Sports Med [Internet]. 2021. doi: https://doi.org/10.1055/a-1559-3623 6. 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 Sport [Internet]. 2022;32(3):498-511. doi: https://doi.org/10.1111/sms.14101 7. Festa L, Tarperi C, Skroce K, La Torre A, Schena F. Effects of Different Training Intensity Distribution in Recreational Runners. Front Sport Act Living [Internet]. 2020;1(January):1-7. doi: https://doi.org/10.3389/fspor.2019.00070 8. Stöggl TL, Sperlich B. The training intensity distribution among well-trained and elite endurance athletes. Front Physiol [Internet]. 2015;6(OCT):295. doi: https://doi.org/10.3389/fphys.2015.00295 9. Muñoz I, Seiler S, Bautista J, España J, Larumbe E, Esteve-Lanao J. Does polarized training improve performance in recreational runners? Int J Sports Physiol Perform [Internet]. 2014;9(2):265-72. doi: https://doi.org/10.1123/ijspp.2012-0350 10. Röhrken G, Held S, Donath L. Six Weeks of Polarized Versus Moderate Intensity Distribution: A Pilot Intervention Study. Front Physiol [Internet]. 2020;11(November):1-11. doi: https://doi.org/10.3389/fphys.2020.534688 11. Treff G, Winkert K, Sareban M, Steinacker JM, Sperlich B. The polarization-index: A simple calculation to distinguish polarized from non-polarized training intensity distributions. Front Physiol [Internet]. 2019;10(JUN):1-6. doi: https://doi.org/10.3389/fphys.2019.00707 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 [Internet]. 2021;21(6):819-26. doi: https://doi.org/10.1080/17461391.2020.1773934 13. Kenneally M, Casado A, Santos-Concejero J. The Effect of Periodization and Training Intensity Distribution on Middle- and Long-Distance Running Performance: A Systematic Review. 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