Variabilidad del ritmo cardiaco como herramienta para determinar los umbrales ventilatorios en futbolistas juveniles colombianos
Estabecer la concordancia entre la determinación de los umbrales ventilatorios por ergoespirometria y la estimación de los mismos mediante la variabilidad del ritmo cardiaco. Diez jugadores de un equipo profesional de fútbol en Colombia fueron evaluados, (edad: 18,18 ± 0,982 años; peso: 71,4 ± 3,9 k...
- Autores:
-
Ortiz Jerez, Andrés Felipe
- Tipo de recurso:
- Trabajo de grado de pregrado
- Fecha de publicación:
- 2023
- Institución:
- Universidad El Bosque
- Repositorio:
- Repositorio U. El Bosque
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unbosque.edu.co:20.500.12495/11079
- Acceso en línea:
- http://hdl.handle.net/20.500.12495/11079
- Palabra clave:
- Umbral ventilatorio
Jugadores de fútbol
Variabilidad del ritmo cardiaco
Análisis espectral
Ventilatory threshold
Soccer players
Heart rate variability
Spectral analysis
QT 261
- Rights
- openAccess
- License
- Acceso abierto
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dc.title.spa.fl_str_mv |
Variabilidad del ritmo cardiaco como herramienta para determinar los umbrales ventilatorios en futbolistas juveniles colombianos |
title |
Variabilidad del ritmo cardiaco como herramienta para determinar los umbrales ventilatorios en futbolistas juveniles colombianos |
spellingShingle |
Variabilidad del ritmo cardiaco como herramienta para determinar los umbrales ventilatorios en futbolistas juveniles colombianos Umbral ventilatorio Jugadores de fútbol Variabilidad del ritmo cardiaco Análisis espectral Ventilatory threshold Soccer players Heart rate variability Spectral analysis QT 261 |
title_short |
Variabilidad del ritmo cardiaco como herramienta para determinar los umbrales ventilatorios en futbolistas juveniles colombianos |
title_full |
Variabilidad del ritmo cardiaco como herramienta para determinar los umbrales ventilatorios en futbolistas juveniles colombianos |
title_fullStr |
Variabilidad del ritmo cardiaco como herramienta para determinar los umbrales ventilatorios en futbolistas juveniles colombianos |
title_full_unstemmed |
Variabilidad del ritmo cardiaco como herramienta para determinar los umbrales ventilatorios en futbolistas juveniles colombianos |
title_sort |
Variabilidad del ritmo cardiaco como herramienta para determinar los umbrales ventilatorios en futbolistas juveniles colombianos |
dc.creator.fl_str_mv |
Ortiz Jerez, Andrés Felipe |
dc.contributor.advisor.none.fl_str_mv |
Povea, Camilo Cabrera Hernandez, Moises Arturo Lineros Montañez, Alberto Ortiz, Oscar |
dc.contributor.author.none.fl_str_mv |
Ortiz Jerez, Andrés Felipe |
dc.subject.spa.fl_str_mv |
Umbral ventilatorio Jugadores de fútbol Variabilidad del ritmo cardiaco Análisis espectral |
topic |
Umbral ventilatorio Jugadores de fútbol Variabilidad del ritmo cardiaco Análisis espectral Ventilatory threshold Soccer players Heart rate variability Spectral analysis QT 261 |
dc.subject.keywords.spa.fl_str_mv |
Ventilatory threshold Soccer players Heart rate variability Spectral analysis |
dc.subject.nlm.none.fl_str_mv |
QT 261 |
description |
Estabecer la concordancia entre la determinación de los umbrales ventilatorios por ergoespirometria y la estimación de los mismos mediante la variabilidad del ritmo cardiaco. Diez jugadores de un equipo profesional de fútbol en Colombia fueron evaluados, (edad: 18,18 ± 0,982 años; peso: 71,4 ± 3,9 kg; IMC: 21,95 ± 0,878 kg.m2). Dos pruebas diferentes fueron realizadas, inicialmente se realizó un test incremental en banda sin fin hasta el agotamiento, determinaron los umbrales ventilatorios (VT1 Y VT2) por tres métodos del análisis de gases: V-slope, equivalentes ventilatorios, presión de oxígeno al final de la espiración PETO2 y PETCO2, ( ̇O2VT1B, ̇O2VT2B) simultáneamente, utilizando registro continuo de la frecuencia cardiaca latido a latido durante la misma prueba incremental, se calcularon también los umbrales, a través de el pico de Hf y el compenente HF de la variabilidad del ritmo cardiaco durante el ejercicio (VRCVT1B, VRCVT2B); dos semanas mas tarde se realizaron pruebas de campo con un test intermitente de YOYO, empleando los mismos criterios previamente considerados, con un ergoespirometria portátil (̇ O2VT1YY, ̇ O2VT2YY) y por los métodos de variabilidad del ritmo cardiaco. (VRCVT1YY, VRCVT2YY). Una vez determinadas las velocidad de carrera de los umbrales, tanto en la pruebas iniciales de laboratorio por los dos métodos, como para las pruebas de campo, se realizaron las comparaciones. El coeficiente de Pearson se usó para determinar diferencias entre los datos y la fuerza de cada relación, el método gráfico de Bland Altman para evaluar la concordancia. Los resultados mostraron correlación positiva para el hallazgo del primer umbral entre los métodos de análisis de gases en laboratorio y el análisis del VT1 por variabilidad del ritmo cardiaco y por análisis de gases en campo (r=0,119 y r=0,347) respectivamente, y en el segundo umbral se encontró correlación entre ̇O2VT2B y VT2YY(r=0,784), y O2VT2B y VRCVT2YY (R= 0,547). El método de Bland Altman mostró una concordancia entre los hallazgos de los VT con análisis de gases y los encontrados por los métodos de variabilidad del ritmo cardiaco. Existe una adecuada concordancia entre los dos métodos descritos, tanto en las pruebas realizadas en laboratorio como en las pruebas efectuadas en el terreno propio de los deportistas, estos hallazgos promueven un enfoque práctico y económico mediante una prueba de campo en el hallazgo de los umbrales ventilatorios por variabilidad del ritmo cardiaco en jugadores juveniles colombianos. |
publishDate |
2023 |
dc.date.accessioned.none.fl_str_mv |
2023-07-19T15:54:21Z |
dc.date.available.none.fl_str_mv |
2023-07-19T15:54:21Z |
dc.type.local.spa.fl_str_mv |
Tesis/Trabajo de grado - Monografía - Especialización |
dc.type.coar.none.fl_str_mv |
http://purl.org/coar/resource_type/c_7a1f |
dc.type.driver.none.fl_str_mv |
info:eu-repo/semantics/bachelorThesis |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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http://purl.org/coar/resource_type/c_7a1f |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/20.500.12495/11079 |
dc.identifier.instname.spa.fl_str_mv |
instname:Universidad El Bosque |
dc.identifier.reponame.spa.fl_str_mv |
reponame:Repositorio Institucional Universidad El Bosque |
dc.identifier.repourl.none.fl_str_mv |
repourl:https://repositorio.unbosque.edu.co |
url |
http://hdl.handle.net/20.500.12495/11079 |
identifier_str_mv |
instname:Universidad El Bosque reponame:Repositorio Institucional Universidad El Bosque repourl:https://repositorio.unbosque.edu.co |
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spa |
language |
spa |
dc.relation.references.spa.fl_str_mv |
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Faina, M, Gallozzi, C, Lupo, S, Colli, R, Sassi, R, and Marini, C. 1988, Definition of physiological profile of the soccer players. In: Science and Football. Reilly, T, Lees, A, Davids, K, and Murphy, WJ, eds. London: E & FN Spon. pp. 158–163. Wisloff U, Helgerud, J, and Hoff, J. Strength and endurance of elite soccer players. Med Sci Sports Exerc. 30: 462–467, 1998. Bangsbo, J. The physiology of soccer with special reference to intense intermittent exercise. Acta Physiol Scand (Suppl) 619: 1–156, 1994. Mohr, M, Krustrup, P, and Bangsbo, J. Match performance of high standard soccer players with special reference to development of fatigue. J Sports Sci. 21: 519–528, 2003. Bergh, U, Sjodin, B, Forsberg, A, and Svedenhag, J. The relationship between body mass and oxygen uptake during running in humans. Med Sci Sports Exerc. 23: 205–211, 1991. Grant, S, Craig, I, Wilson, J, and Aitchinson, T. The relationship between 3km running performance and selected physiological variables. J Sports Sci. 14: 403–410, 1997. Edwards, AM, Clark, N, and Mac Fadyen, AM. Lactate and ventilatory thresholds reflect the training status of profesional soccer players where maximum aerobic power is unchanged. J Sports Sci Med. 2: 23–29, 2003. Helgerud, J, Engen, LC, Wisloff, U, and Hoff, J. Aerobic endurance training improves soccer performance. Med Sci Sports Exerc. 33: 87–97, 2001. Impellizzeri, F, Marcora, SM, Castagna, C, Reilly, T, Sassi, A, Iaia, FM, and Rampinini, E. Physiological and performance effects of generic versus specific aerobic training in soccer players. Int J Sports Med. 27: 483–492, 2006. Mac Millan, K, Helgerud, J, Grant, SJ, Newell, J, Wilson, J, Macdonald, R, and Hoff, J. Lactate threshold responses to a season of professional British youth soccer. Br J Sports Med. 39: 432–436, 2005. Hoff, J and Helgerud, J. (2002) Maximal strength training enhances running economy and aerobic endurance performance. In Football (Soccer): New Developments in Physical Training Research. Hof, J andHelgerud, J, eds. Trondheim: Norwegian University of Science and Technology. pp. 39–55. Ramsbottom R, Williams C, Fleming N, et al. Training induced physiological and metabolic changes associated with improvements in running performance. Br J Sports Med. 1989;23:171–6. Dunbar J. (1999) Longitudinal change in aerobic capacity through the playing year in English professional soccer players. In: Fourth World Congress of Science and Football, Sydney, Congress Abstracts. Sydney: University of Technology. Dunbar J. (1999) Longitudinal change in aerobic capacity through the playing year in English professional soccer players. In: Fourth World Congress of Science and Football, Sydney, Congress Abstracts. Sydney: University of Technology. K McMillan, J Helgerud, S J Grant. Lactate threshold responses to a season of professional British youth soccer. Br J Sports Med. 2005; 39:432–436. Jan Helgerud, Lars Christian Engen. Aerobic endurance training improves soccer performance. Med Sci Sports Exerc. 2001;33(11):1925–1931. G. Ziogas, K. Patras. Velocity at lactate threshold and running economymust also be considered along with maximal oxygen uptake when testing elite soccer players during preseason. J Strength Cond Res. 2011;25(2):414–419. Wasserman K, Beaver WL, Whipp BJ. Gas exchange theory and the lactic acidosis (anaerobic) threshold. Circulation. 1990;81(suppl):II-14–II-30. Myers J, Ashley E. Dangerous curves: a perspective on exercise, lactate, and the anaerobic threshold. Chest. 1997;111:787–795. Gary J. Balady, Ross Arena. Clinician's Guide to Cardiopulmonary Exercise Testing in Adults. A Scientific Statement From the American Heart Association. Circulation. 2010;122:191-225. Jones AM, Carter H. The effect of endurance training on parameters of aerobic fitness. Sports Med. 2000;29:373–386. Santos EL, Giannella-Neto A. Comparison of computerized methods for detecting the ventilatory thresholds. Eur J Appl Physiol. 2004;93:315–324. Standards of measurement, physiological interpretation, and clinical use. Task force of the European society of cardiology and the north American society of pacing and electrophysiology. Eur Heart J. 1996;17(3):354–381. Povea, C. (2006) Análisis Espectral del ritmo cardiaco, utilidad en el deporte. A.C.M.D- volume 12:2, 2006. Taylor, J. A., and D. L. Eckberg. Fundamental relations between short-term R-R interval and arterial pressure oscillations in humans. Circulation 8:1527–1532, 1996. Laude, D., F. Weise, A. Girard, and J. L. Elghozi. Spectral analysis of systolic blood pressure and heart rate oscillations related to respiration. Clin. Exp. Pharmacol. Physiol. 22:352–357,1995. Mclaughlin J. E., G. A. King, E. T. Howley, D. R. Basset, and B. F. Ainsworth. Validation of the Cosmed K4b2 portable metabolic system. Int. J. Sports Med. 22:280–284, 2001. Clark, J. M., F. C. Hagerman, and R. Gefland. Breathing patterns during submaximal and maximal exercise in elite oarsmen. J. Appl. Physiol. 55:440–446, 1983. Gallagher, C. G., E. Brown, and M. Younes. Breathing pattern during maximal exercise and during submaximal exercise with hypercapnia. J. Appl. Physiol. 63:238–244, 1987. Cottin, F., Y. Papelier, and P. Escourrou. Effects of exercise load and breathing frequency on heart rate and blood pressure variability during dynamic exercise. Int. J. Sports Med. 20:1–7, 1999. Macor, F., R. Fagard, and A. Amery. Power spectral analysis of RR interval and blood pressure short-term variability at rest and during dynamic exercise: comparison between cyclists and controls. Int. J. Sports Med. 17:175–181, 1996. Bernardi, L. F., R. Salvucci, P. L Suardi, et al. Evidence for an intrinsic mechanism regulating heart rate variability in transplanted and the intact heart during submaximal dynamic exercise. Cardiovasc. Res. 24:969–981, 1990. F. Cottin, C. Medigue. Heart Rate Variability during Exercise Performed below and above Ventilatory Threshold. Med Sci Sports Exerc 36 (4), 594-600. Apr 2004 Kohl, P., A. G. Kamkin, S. Kiseleva, And T. Streubel. Mechanosensitive cells in the atrium of frog heart. Exp. Physiol. 77:213–216, 1992. F. Cottin, C. Médigue Ventilatory Thresholds Assessment from Heart Rate Variability during an Incremental Exhaustive Running Test. Int J Sports Med 2007. 2007 Apr;28(4):287-94 G. K. Karapetian, H. J. Engels, R. J. Gretebeck. Use of Heart Rate Variability to Estimate LT and VT. Int J Sports Med 2008; 29: 652–657. V.Z. Dourado and R.L.F. Guerra. Reliability and validity of heart rate variability threshold assessment during an incremental shuttle-walk test in middle-aged and older adults Brazilian Braz J Med Biol Res 2013 Feb;46(2):194-9 Blain G, Meste O, Bouchard T, Bermon S. Assessment of ventilatory thresholds during graded and maximal exercise test using time varying analysis of respiratory sinus arrhythmia. Br J Sports Med. 2005;39(7):448–452. Aubert AE, Seps B, Beckers F. Heart rate variability in athletes. Sports Med. 2003;33(12):889–919 Sandercock GR, Bromley PD, Brodie DA. Effects of exercise on heart rate variability: inferences from meta-analysis. Med Sci Sports Exerc. 2005;37(3):433–439. Kenney WL. Parasympathetic control of resting heart rate: relationship to aerobic power. Med Sci Sports Exerc. 1985;17(4):451–455. Pichot V, Busso T, Roche F, et al. Autonomic adaptations to intensive and overload training periods: a laboratory study. Med Sci Sports Exerc. 2002;34(10):1660–1666. Uusitalo AL, Uusitalo AJ, Rusko HK. Heart rate and blood pressure variability during heavy training and overtraining in the female athlete. Int J Sports Med. 2000;21(1):45–53. Serrato Roa, M. Lineamientos de política pública en ciencias del deporte en medicina. Módulo I. (2015). p 81-82. Mourot L, Fabre N, Savoldelli A, Schena F. Second ventilatory threshold from heart-rate variability: valid when the upper body is involved?. Int J Sports Physiol Perform.2014;9(4):695-701. doi:10.1123/ijspp.2013-0286 Cabrera Hernández, M. A., Tafur Tascon, L. J., Cohen, D. D., García-Corzo, S. A., Quiñonez Sánchez, A., Povea Combariza, C., & Tejada Rojas, C. X. Concordance between the indirect VO2max value estimated through the distance in Yo-Yo intermittent recovery test level 1 and the direct measurement during a treadmill protocol test in elite youth soccer players. Spring Conferences of Sports Science. 2018. p 401-412. Ramos-Campo DJ, Rubio-Arias JA, Ávila-Gandía V, Marín-Pagán C, Luque A, Alcaraz PE. Heart rate variability to assess ventilatory thresholds in professional basketball players. J Sport Health Sci. 2017;6(4):468-473. doi:10.1016/j.jshs.2016.01.002. Bangsbo, J.; Mohr, M., & Krustrup, P. (2006). Physical and metabolic demands of training and match-play in the elite football player. Journal of Sports Sciences, 24(7), 665–74. Sanchez-Oliva, D.; Santalla, A.; Candela, J.M.; Leo, F. M., García-Calvo, T. (2014). Análisis de la relación entre el Yo-Yo Test y el consumo máximo de oxígeno en jóvenes jugadores de fútbol. RICYDE. Revista internacional de ciencias del deporte, 37(10), 180-193 Krustrup, P.; Mohr, M.; Nybo, L.; Jensen, J. M.; Nielsen, J. J., & Bangsbo, J. (2006). The Yo-Yo IR2 test: physiological response, reliability, and application to elite soccer. Medicine and Science in Sports and Exercise, 38(9), 1666–1673. Giavarina D. Understanding Bland Altman analysis. Biochem Med (Zagreb).(2015);25:141-151 |
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Especialización en Medicina del Deporte |
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Universidad El Bosque |
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Facultad de Medicina |
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Universidad El Bosque |
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Povea, CamiloCabrera Hernandez, Moises ArturoLineros Montañez, AlbertoOrtiz, OscarOrtiz Jerez, Andrés Felipe2023-07-19T15:54:21Z2023-07-19T15:54:21Zhttp://hdl.handle.net/20.500.12495/11079instname:Universidad El Bosquereponame:Repositorio Institucional Universidad El Bosquerepourl:https://repositorio.unbosque.edu.coEstabecer la concordancia entre la determinación de los umbrales ventilatorios por ergoespirometria y la estimación de los mismos mediante la variabilidad del ritmo cardiaco. Diez jugadores de un equipo profesional de fútbol en Colombia fueron evaluados, (edad: 18,18 ± 0,982 años; peso: 71,4 ± 3,9 kg; IMC: 21,95 ± 0,878 kg.m2). Dos pruebas diferentes fueron realizadas, inicialmente se realizó un test incremental en banda sin fin hasta el agotamiento, determinaron los umbrales ventilatorios (VT1 Y VT2) por tres métodos del análisis de gases: V-slope, equivalentes ventilatorios, presión de oxígeno al final de la espiración PETO2 y PETCO2, ( ̇O2VT1B, ̇O2VT2B) simultáneamente, utilizando registro continuo de la frecuencia cardiaca latido a latido durante la misma prueba incremental, se calcularon también los umbrales, a través de el pico de Hf y el compenente HF de la variabilidad del ritmo cardiaco durante el ejercicio (VRCVT1B, VRCVT2B); dos semanas mas tarde se realizaron pruebas de campo con un test intermitente de YOYO, empleando los mismos criterios previamente considerados, con un ergoespirometria portátil (̇ O2VT1YY, ̇ O2VT2YY) y por los métodos de variabilidad del ritmo cardiaco. (VRCVT1YY, VRCVT2YY). Una vez determinadas las velocidad de carrera de los umbrales, tanto en la pruebas iniciales de laboratorio por los dos métodos, como para las pruebas de campo, se realizaron las comparaciones. El coeficiente de Pearson se usó para determinar diferencias entre los datos y la fuerza de cada relación, el método gráfico de Bland Altman para evaluar la concordancia. Los resultados mostraron correlación positiva para el hallazgo del primer umbral entre los métodos de análisis de gases en laboratorio y el análisis del VT1 por variabilidad del ritmo cardiaco y por análisis de gases en campo (r=0,119 y r=0,347) respectivamente, y en el segundo umbral se encontró correlación entre ̇O2VT2B y VT2YY(r=0,784), y O2VT2B y VRCVT2YY (R= 0,547). El método de Bland Altman mostró una concordancia entre los hallazgos de los VT con análisis de gases y los encontrados por los métodos de variabilidad del ritmo cardiaco. Existe una adecuada concordancia entre los dos métodos descritos, tanto en las pruebas realizadas en laboratorio como en las pruebas efectuadas en el terreno propio de los deportistas, estos hallazgos promueven un enfoque práctico y económico mediante una prueba de campo en el hallazgo de los umbrales ventilatorios por variabilidad del ritmo cardiaco en jugadores juveniles colombianos.Especialista en Medicina del DeporteEspecializaciónThe aim of this study was to determine the concordance between the measurement of the ventilatory thresholds by means of ergospirometry and the the heart rate variability. Ten players from a professional soccer team in Colombia were evaluated, (age: 18.18 ± 0.982 years; weight: 71.4 ± 3.9 kg; BMI: 21.95 ± 0.878 kg.m2). Two tests were made 14 days apart, the first phase corresponded to an incremental test in treadmill until exhaustion. The ventilatory thresholds (VT1 and VT2) were found by three gas analysis methods (slope V, ventilatory equivalents, oxygen pressure at the end of expiration PETO2 and PETCO2), ( ̇O2VT1B, O2VT2B). The determination of the thresholds was also made with the peak of Hf and the HF component of the heart rate variability. (VRCVT1B, VRCVT2B) The second phase consisted on a field test: the YOYO intermittent test was performed, estimated (̇ O2VT1YY and ̇ O2VT2YY) with portable ergospirometry, and by the methods of heart rate variability (VRCVT1YY, VRCVT2YY), threshold running speed was used as data for comparisons. The Pearson coefficient is used to determine the differences between the data and the strength of each relationship, the Bland Altman graphical method to assess agreement. Results: Results showed a positive correlation finding the first threshold between laboratory gas analysis methods and VT1 analysis for heart rate variability and field gas analysis. (r=0,119 y r=0,347) respectively, and at the second threshold a correlation was found between V̇ O2VT2B and V ̇O2VT2YY (r = 0.784), and VVO2VT2B and VVT2VRCYY (R = 0.547). Additionally, the Bland Altman method evidenced a concordance between the findings of the VT with gas analysis and those found by the methods of heart rate variability in the field. 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