Entrenamiento por modelamiento y vfc en ciclistas aficionados: impacto en el rendimiento. Estudio de caso

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dc.contributor.advisorVallejo, Lyda
dc.contributor.authorMoreno Elorza, Maria Paulina
dc.contributor.authorMéndes Rojas, Edwin Alexander
dc.date.accessioned2025-07-18T15:05:46Z
dc.date.available2025-07-18T15:05:46Z
dc.date.issued2025-07-17
dc.descriptionAntecedentes: La VFC (variabilidad de la frecuencia cardiaca) se propone como un marcador sensible para la individualización de las cargas de entrenamiento y la prevención del sobre entrenamiento en deportes de resistencia como el ciclismo; la planificación por modelamiento permite el ajuste continuo de los componentes del entrenamiento como el volumen, la intensidad, la frecuencia y la densidad según las características de cada deportista, sin embargo, la evidencia de su aplicación es escasa en aficionados y en ciclistas de MTB. Objetivo: Analizar y evaluar la efectividad en el rendimiento aeróbico y de potencia funcional, de un programa de entrenamiento por modelamiento basado en la medición de la VFC en 24 sesiones en ciclistas de MTB aficionados. Métodos: Estudio de caso experimental y descriptivo. El proceso inició con 11 voluntarios y dos sujetos completan el protocolo. Antes y después de la intervención de 24 sesiones en 8 semanas, se midieron VO2máx., ventilación máxima por medio de prueba de ergo espirometría con ergo espirómetro k5 y umbral de potencia funcional (FTP) en ciclo simulador Tacx Neo 2T. La VFC se registró todas las mañanas durante las 8 semanas en la aplicación móvil Kubios HRV y junto con la planificación del entrenamiento por modelamiento, se definieron las cargas diarias de entrenamiento. Resultados: Sujeto 1 Vo2 máx. +28%, FTP +9,3%, VE +52%; Sujeto 2 VO2 máx. +11,7%, FTP +11,4%, VE +19,6%. La suma total de FTP aumentó 45W (+10,3%) y con una adherencia al protocolo del 18% Conclusiones: El entrenamiento por modelamiento basado en la medición de la VFC sugirió mejoras (cambio absoluto) de las variables cardiorrespiratorias (VO2máx. +1,84%) (VE +9,83%) y de potencia funcional (+10,3%) en ambos sujetos, evidenciando el potencial de la estrategia con la combinación de ambas variables (modelamiento y VFC). Se sugiere estudios que cuenten con muestras poblacionales mayores para confirmar los hallazgos.
dc.description.degreelevelMaestríaspa
dc.description.degreenameMagíster en Entrenamiento Deportivo y Actividad Físicaspa
dc.format.mimetypeapplication/pdf
dc.identifier.citationMoreno Elorza, M. P.; Méndez Rojas, E.A (2025). Entrenamiento por modelamiento y vfc en ciclistas aficionados: impacto en el rendimiento. Estudio de caso.
dc.identifier.instnameinstname:Universidad Santo Tomásspa
dc.identifier.reponamereponame:Repositorio Institucional Universidad Santo Tomásspa
dc.identifier.repourlrepourl:https://repository.usta.edu.cospa
dc.identifier.urihttp://hdl.handle.net/11634/68542
dc.language.isospa
dc.publisherUniversidad Santo Tomásspa
dc.publisher.branchCRAI-USTA Tunja
dc.publisher.facultyFacultad de Cultura Física, Deporte y Recreaciónspa
dc.publisher.programMaestría en Entrenamiento Deportivo y Actividad Físicaspa
dc.relation.referencesAddleman, J. S., Lackey, N. S., DeBlauw, J. A., & Hajduczok, A. G. (2024). Heart Rate Variability Applications in Strength and Conditioning: A Narrative Review. In Journal of Functional Morphology and Kinesiology (Vol. 9, Issue 2). Multidisciplinary Digital Publishing Institute (MDPI). https://doi.org/10.3390/jfmk9020093
dc.relation.referencesAgudelo Valásquez, C. A. (2012). Bases complementarias de la planificación modeladora. In Planificación del entrenamiento por modelamiento (p. 49).
dc.relation.referencesAgudelo Velásquez, C. A. (2012a). Bases teóricas de la planificación modeladora. In Planificación del entrenamiento por modelamiento (pp. 43–66).
dc.relation.referencesAgudelo Velásquez, C. A. (2012b). Bases teóricas de la planificación modeladora. In Planificación del entrenamiento por modelamiento (1st ed., p. 45).
dc.relation.referencesAgudelo Velásquez, C. A. (2012c). Bases teóricas de la planificación modeladora. In Planificación del entrenamiento por modelamiento (pp. 52–53).
dc.relation.referencesAgudelo Velásquez, C. A., Ortiz Uribe, M., & Ramón Suárez, G. (2020). Efecto en la Potencia de un Plan por Modelamiento en Atletas del INDER Medellín (Effects on the Power of the Young Athletes from INDER Medellín with a Modelating Plan). Retos, 39, 494–499. https://doi.org/10.47197/retos.v0i39.78237
dc.relation.referencesAhumada, F. T. C. (2021). Perfil fisiológico y de rendimiento . Revista Sportraining.
dc.relation.referencesAubert, A. E., Seps, B., & Beckers, F. (2003). Heart Rate Variability in Athletes. Sports Medicine, 33(12), 889–919. https://doi.org/10.2165/00007256-200333120-00003
dc.relation.referencesBeneke, R., Leithäuser, R. M., & Ochentel, O. (2011). Blood Lactate Diagnostics in Exercise Testing and Training. International Journal of Sports Physiology and Performance, 6(1), 8–24. https://doi.org/10.1123/ijspp.6.1.8
dc.relation.referencesBhavanani, A. B. (2016). Effect of Different Pranayamas on Respiratory Sinus Arrhythmia. JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH. https://doi.org/10.7860/JCDR/2016/16306.7408
dc.relation.referencesCoates, A. M., Joyner, M. J., Little, J. P., Jones, A. M., & Gibala, M. J. (2023). A Perspective on High-Intensity Interval Training for Performance and Health. Sports Medicine, 53, 85–96. https://doi.org/10.1007/s40279-023-01938-6
dc.relation.referencesCosta, J. A., Brito, J., Nakamura, F. Y., Dores, H., & Rebelo, A. (2022). Associations between 24-h heart rate variability and aerobic fitness in high-level female soccer players. Scandinavian Journal of Medicine and Science in Sports, 32(S1), 140–149. https://doi.org/10.1111/sms.14116
dc.relation.referencesDe Revisión, A., Estañol, B., Porras-Betancourt, M., Ángel Padilla-Leyva, M., & Sentíes-Madrid, H. (2011). Breve historia del reflejo barorreceptor: de Claude Bernard a Arthur C. Guyton. Ilustrada con algunos experimentos clásicos. In Arch Cardiol Mex (Vol. 81, Issue 4). www.elsevier.com.mx
dc.relation.referencesDüking, P., Zinner, C., Reed, J. L., Holmberg, H. C., & Sperlich, B. (2020). Predefined vs data-guided training prescription based on autonomic nervous system variation: A systematic review. Scandinavian Journal of Medicine and Science in Sports, 30(12), 2291–2304. https://doi.org/10.1111/sms.13802
dc.relation.referencesFatisson, J., Oswald, V., & Lalonde, F. (2016). Influence Diagram of Physiological and Environmental Factors Affecting Heart Rate Variability: An Extended Literature Overview. Heart International, 11(1), heartint.500023. https://doi.org/10.5301/heartint.5000232
dc.relation.referencesFu, Q., & Levine, B. D. (2013). Exercise and the autonomic nervous system (pp. 147–160). https://doi.org/10.1016/B978-0-444-53491-0.00013-4
dc.relation.referencesGoldberger, J. J., Kiet Le, F., Lahiri, M., Kannankeril, P. J., Ng, J., Kadish, A. H., & Kadish Assessment, A. H. (2006). of para-sympathetic reactivation after exercise. Am J Physiol Heart Circ Physiol, 290, 2446–2452. https://doi.org/10.1152/ajpheart.01118.2005.-The
dc.relation.referencesGuo, Q., Wang, J., Liu, H., Wu, D., & Liao, S. (2022). Nicotine Ingestion Reduces Heart Rate Variability in Young Healthy Adults. BioMed Research International, 2022(1). https://doi.org/10.1155/2022/4286621
dc.relation.referencesHayano, J., & Yuda, E. (2019). Pitfalls of assessment of autonomic function by heart rate variability. Journal of Physiological Anthropology, 38(1), 3. https://doi.org/10.1186/s40101-019-0193-2
dc.relation.referencesIra Fox, S. (2016). Sistema nervioso, Neuronas y sinapsis. In M. Pérez Bernal (Ed.), Fisiología humana (14th ed., pp. 162–205).
dc.relation.referencesJavaloyes, A., Sarabia, J. M., Lamberts, R. P., & Moya-Ramon, M. (2019a). Training prescription guided by heart-rate variability in cycling. International Journal of Sports Physiology and Performance, 14(1), 23–32. https://doi.org/10.1123/ijspp.2018-0122
dc.relation.referencesJavaloyes, A., Sarabia, J. M., Lamberts, R. P., & Moya-Ramon, M. (2019b). Training prescription guided by heart-rate variability in cycling. International Journal of Sports Physiology and Performance, 14(1), 23–32. https://doi.org/10.1123/ijspp.2018-0122
dc.relation.referencesKalkhoven, J. T., Watsford, M. L., Coutts, A. J., Edwards, W. B., & Impellizzeri, F. M. (2021). Training Load and Injury: Causal Pathways and Future Directions. In Sports Medicine (Vol. 51, Issue 6, pp. 1137–1150). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/s40279-020-01413-6
dc.relation.referencesKiviniemi, A. M., Hautala, A. J., Kinnunen, H., Nissilä, J., Virtanen, P., Karjalainen, J., & Tulppo, M. P. (2010). Daily exercise prescription on the basis of hr variability among men and women. Medicine and Science in Sports and Exercise, 42(7), 1355–1363. https://doi.org/10.1249/MSS.0b013e3181cd5f39
dc.relation.referencesKleiger, R. E., Stein, P. K., & Bigger, J. T. (2005). Heart rate variability: Measurement and clinical utility. In Annals of Noninvasive Electrocardiology (Vol. 10, Issue 1, pp. 88–101). https://doi.org/10.1111/j.1542-474X.2005.10101.x
dc.relation.referencesKofler River, T., Zavala Crichton, J. P., Olivares Arancibia, J., & Yáñez Sepúlveda, R. (n.d.). Effect of two training schedules with different distribution of intensity (polarized vs threshold) in the aerobic performance in trained cyclist. Retos, 636–690.
dc.relation.referencesKubios HRV Software. (2016). HRV analysis methods - How is HRV calculated. Https://Www.Kubios.Com/Blog/Hrv-Analysis-Methods/.
dc.relation.referencesKubios HRV software. (2024). Understanding HRV readiness score. Https://Www.Kubios.Com/Blog/Hrv-Readiness-Score/#:~:Text=How%20is%20the%20readiness%20index,Reflects%20parasympathetic%20nervous%20system%20activity.
dc.relation.referencesKuerschner, B., Kirton, M., Dalleck, L. C., Beleigoli, A., Gebremichael, L., Weatherwax, R., & Ramos, J. S. (2024). The impact of individualised versus standardised endurance and resistance training on the fitness–fatness index in inactive adults. Journal of Science and Medicine in Sport, 27(5), 326–332. https://doi.org/10.1016/j.jsams.2024.01.011
dc.relation.referencesLee, C. M., & Mendoza, A. (2012). Dissociation of heart rate variability and heart rate recovery in well-trained athletes. European Journal of Applied Physiology, 112(7), 2757–2766. https://doi.org/10.1007/s00421-011-2258-8
dc.relation.referencesLiu, F., Qu, B., Wang, L., Xu, Y., Peng, X., Zhang, C., & Xu, D. (2022). Effect of selective sleep deprivation on heart rate variability in post-90s healthy volunteers. Mathematical Biosciences and Engineering, 19(12), 13851–13860. https://doi.org/10.3934/mbe.2022645
dc.relation.referencesLombardo, A., Méndez, R., Rodríguez, D., & Castillero, L. (2020). Protocolos de entrenamiento de moderada y alta intensidad: de su eficacia y adherencia Moderate and high intensity training protocols: their effectiveness and adherence (Vol. 7, Issue 1).
dc.relation.referencesMartinmäki, K., & Rusko, H. (2008). Time-frequency analysis of heart rate variability during immediate recovery from low and high intensity exercise. European Journal of Applied Physiology, 102(3), 353–360. https://doi.org/10.1007/s00421-007-0594-5
dc.relation.referencesMoreno Elorza, M. P. (2022). Métodos de entrenamiento utilizados en ciclismo de ruta y mountain bike y su relasión con las lesiones; revisión sstemática. Universidad de San Buenaventura.
dc.relation.referencesNoakes, T. D., St Clair Gibson, A., & Lambert, E. V. (2005a). From catastrophe to complexity: a novel model of integrative central neural regulation of effort and fatigue during exercise in humans: summary and conclusions. British Journal of Sports Medicine, 39(2), 120–124. https://doi.org/10.1136/bjsm.2003.010330
dc.relation.referencesNoakes, T. D., St Clair Gibson, A., & Lambert, E. V. (2005b). From catastrophe to complexity: a novel model of integrative central neural regulation of effort and fatigue during exercise in humans: summary and conclusions. British Journal of Sports Medicine, 39(2), 120–124. https://doi.org/10.1136/bjsm.2003.010330
dc.relation.referencesPérez, C. (2020, December 4). Historia del ciclismo.
dc.relation.referencesPlews, D. J., Laursen, P. B., Kilding, A. E., & Buchheit, M. (2014). Heart-Rate Variability and Training-Intensity Distribution in Elite Rowers. International Journal of Sports Physiology and Performance, 9(6), 1026–1032. https://doi.org/10.1123/ijspp.2013-0497
dc.relation.referencesPlews, D. J., Laursen, P. B., Stanley, J., Kilding, A. E., & Buchheit, M. (2013a). Training adaptation and heart rate variability in elite endurance athletes: Opening the door to effective monitoring. In Sports Medicine (Vol. 43, Issue 9, pp. 773–781). https://doi.org/10.1007/s40279-013-0071-8
dc.relation.referencesPlews, D. J., Laursen, P. B., Stanley, J., Kilding, A. E., & Buchheit, M. (2013b). Training Adaptation and Heart Rate Variability in Elite Endurance Athletes: Opening the Door to Effective Monitoring. Sports Medicine, 43(9), 773–781. https://doi.org/10.1007/s40279-013-0071-8
dc.relation.referencesPlews, D. J., Laursen, P. B., Stanley, J., Kilding, A. E., & Buchheit, M. (2013c). Training adaptation and heart rate variability in elite endurance athletes: Opening the door to effective monitoring. In Sports Medicine (Vol. 43, Issue 9, pp. 773–781). https://doi.org/10.1007/s40279-013-0071-8
dc.relation.referencesPlews, D. J., Scott, B., Altini, M., Wood, M., Kilding, A. E., & Laursen, P. B. (2017). Comparison of heart-rate-variability recording with smartphone photoplethysmography, polar H7 chest strap, and electrocardiography. International Journal of Sports Physiology and Performance, 12(10), 1324–1328. https://doi.org/10.1123/ijspp.2016-0668
dc.relation.referencesPorras-Alvarez, J., & Bernal-Calderón, M. O. (2019a). Variabilidad de la frecuencia cardiaca: evaluación del entrenamiento deportivo. Revisión de tema. Duazary, 16(2), 259–269. https://doi.org/10.21676/2389783x.2750
dc.relation.referencesPorras-Alvarez, J., & Bernal-Calderón, M. O. (2019b). Variabilidad de la frecuencia cardiaca: evaluación del entrenamiento deportivo. Revisión de tema. Duazary, 16(2), 259–269. https://doi.org/10.21676/2389783X.2750
dc.relation.referencesQuintana, D. S., Alvares, G. A., & Heathers, J. A. J. (2016a). Guidelines for Reporting Articles on Psychiatry and Heart rate variability (GRAPH): recommendations to advance research communication. Translational Psychiatry, 6(5), e803–e803. https://doi.org/10.1038/tp.2016.73
dc.relation.referencesQuintana, D. S., Alvares, G. A., & Heathers, J. A. J. (2016b). Guidelines for Reporting Articles on Psychiatry and Heart rate variability (GRAPH): recommendations to advance research communication. Translational Psychiatry, 6(5), e803–e803. https://doi.org/10.1038/tp.2016.73
dc.relation.referencesRajendra Acharya, U., Paul Joseph, K., Kannathal, N., Lim, C. M., & Suri, J. S. (2006). Heart rate variability: a review. Medical & Biological Engineering & Computing, 44(12), 1031–1051. https://doi.org/10.1007/s11517-006-0119-0
dc.relation.referencesRennie, K. L. (2003). Effects of Moderate and Vigorous Physical Activity on Heart Rate Variability in a British Study of Civil Servants. American Journal of Epidemiology, 158(2), 135–143. https://doi.org/10.1093/aje/kwg120
dc.relation.referencesRogers, B., Giles, D., Draper, N., Hoos, O., & Gronwald, T. (2021a). A New Detection Method Defining the Aerobic Threshold for Endurance Exercise and Training Prescription Based on Fractal Correlation Properties of Heart Rate Variability. Frontiers in Physiology, 11. https://doi.org/10.3389/fphys.2020.596567
dc.relation.referencesRogers, B., Giles, D., Draper, N., Hoos, O., & Gronwald, T. (2021b). A New Detection Method Defining the Aerobic Threshold for Endurance Exercise and Training Prescription Based on Fractal Correlation Properties of Heart Rate Variability. Frontiers in Physiology, 11. https://doi.org/10.3389/fphys.2020.596567
dc.relation.referencesS., S. (2010). What is best practice for trainning intensity and duration distributios in endurance athletes. Rev Int J Sport Physiol Perform, 5, 276–291.
dc.relation.referencesSeiler, S. (2009). Intervals, Thresholds, and Long Slow Distance: the Role of Intensity and Duration in Endurance Training. https://www.researchgate.net/publication/233855836
dc.relation.referencesSeiler, S. (2017). From polarized to optimized?
dc.relation.referencesSinha, M., Behera, A. K., Sinha, R., Parganiha, A., Pande, B., Sharma, R., & Pati, A. K. (2021a). Circadian rhythmicity of heart rate variability and its impact on cardiac autonomic modulation in asthma. Chronobiology International, 38(11), 1631–1639. https://doi.org/10.1080/07420528.2021.1938595
dc.relation.referencesSinha, M., Behera, A. K., Sinha, R., Parganiha, A., Pande, B., Sharma, R., & Pati, A. K. (2021b). Circadian rhythmicity of heart rate variability and its impact on cardiac autonomic modulation in asthma. Chronobiology International, 38(11), 1631–1639. https://doi.org/10.1080/07420528.2021.1938595
dc.relation.referencesStanley, J., Peake, J. M., & Buchheit, M. (2013a). Cardiac Parasympathetic Reactivation Following Exercise: Implications for Training Prescription. Sports Medicine, 43(12), 1259–1277. https://doi.org/10.1007/s40279-013-0083-4
dc.relation.referencesStanley, J., Peake, J. M., & Buchheit, M. (2013b). Cardiac parasympathetic reactivation following exercise: Implications for training prescription. In Sports Medicine (Vol. 43, Issue 12, pp. 1259–1277). https://doi.org/10.1007/s40279-013-0083-4
dc.relation.referencesStanley, J., Peake, J. M., & Buchheit, M. (2013c). Cardiac parasympathetic reactivation following exercise: Implications for training prescription. In Sports Medicine (Vol. 43, Issue 12, pp. 1259–1277). https://doi.org/10.1007/s40279-013-0083-4
dc.relation.referencesStanley, J., Peake, J. M., & Buchheit, M. (2013d). Cardiac Parasympathetic Reactivation Following Exercise: Implications for Training Prescription. Sports Medicine, 43(12), 1259–1277. https://doi.org/10.1007/s40279-013-0083-4
dc.relation.referencesTiwari, R., Kumar, R., Malik, S., Raj, T., & Kumar, P. (2021). Analysis of Heart Rate Variability and Implication of Different Factors on Heart Rate Variability. Current Cardiology Reviews, 17(5). https://doi.org/10.2174/1573403X16999201231203854
dc.relation.referencesTønnessen, E., Sandbakk, Ø., Sandbakk, S. B., Seiler, S., & Haugen, T. (2024). Training Session Models in Endurance Sports: A Norwegian Perspective on Best Practice Recommendations. Sports Medicine. https://doi.org/10.1007/s40279-024-02067-4
dc.relation.referencesUnion Cycliste Internationales. (n.d.). Road Cycling. In Road.
dc.relation.referencesVelásquez Agudelo, C. A. (2012). Sistema de planificación por modelaje o planificación modeladora. In Planificación del entrenamiento deportivo por modelamiento (First, Vol. 1, pp. 15–41).
dc.relation.referencesVenhorst, A., Micklewright, D., & Noakes, T. D. (2018). Towards a three-dimensional framework of centrally regulated and goal-directed exercise behaviour: a narrative review. British Journal of Sports Medicine, 52(15), 957–966. https://doi.org/10.1136/bjsports-2016-096907
dc.relation.referencesVesterinen, V., Nummela, A., Heikura, I., Laine, T., Hynynen, E., Botella, J., & Häkkinen, K. (2016). Individual Endurance Training Prescription with Heart Rate Variability. Medicine and Science in Sports and Exercise, 48(7), 1347–1354. https://doi.org/10.1249/MSS.0000000000000910
dc.relation.referencesWehrwein, E. A., Orer, H. S., & Barman, S. M. (2016). Overview of the Anatomy, Physiology, and Pharmacology of the Autonomic Nervous System. In Comprehensive Physiology (pp. 1239–1278). Wiley. https://doi.org/10.1002/cphy.c150037
dc.relation.referencesWeRbikes. (2019, October 3). La historia de la bicicleta. Https://Www.Werbikes.Mx/Blogs/Werbikes-Blog/La-Historia-de-La-Bicicleta/?Srsltid=AfmBOopONSnBYm333uHc0BlK6IxMsSaAMVnwiiV3y4TZlpzHaBDjjF1y.
dc.relation.referencesZimmermann-Viehoff, F., Thayer, J., Koenig, J., Herrmann, C., Weber, C. S., & Deter, H.-C. (2016). Short-term effects of espresso coffee on heart rate variability and blood pressure in habitual and non-habitual coffee consumers – A randomized crossover study. Nutritional Neuroscience, 19(4), 169–175. https://doi.org/10.1179/1476830515Y.0000000018
dc.rightsAttribution-NonCommercial-NoDerivs 2.5 Colombiaen
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.coarhttp://purl.org/coar/access_right/c_abf2
dc.rights.localAbierto (Texto Completo)spa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/2.5/co/
dc.subject.lembEntrenamiento deportivo
dc.subject.proposalEntrenamiento por modelamiento, Variabilidad de la Frecuencia Cardiaca (VFC), Ciclismo, Mountain Bike (MTB), amateur.
dc.titleEntrenamiento por modelamiento y vfc en ciclistas aficionados: impacto en el rendimiento. Estudio de caso
dc.typemaster thesis
dc.type.coarhttp://purl.org/coar/resource_type/c_bdcc
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aaspa
dc.type.driveinfo:eu-repo/semantics/masterThesisspa
dc.type.localTesis de maestríaspa
dc.type.versioninfo:eu-repo/semantics/acceptedVersionspa

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