Heart rate variability and body composition as vo2max determinants
5 páginas
- Autores:
-
León Ariza, Henry Humberto
Botero Rosas, Daniel Alfonso
Zea Robles, Aura Catalina
- Tipo de recurso:
- Fecha de publicación:
- 2017
- Institución:
- Universidad de la Sabana
- Repositorio:
- Repositorio Universidad de la Sabana
- Idioma:
- eng
- OAI Identifier:
- oai:intellectum.unisabana.edu.co:10818/33181
- Acceso en línea:
- http://www.scielo.br/scielo.php?pid=S1517-86922017000400317&script=sci_arttext
http://www.scielo.br/pdf/rbme/v23n4/1517-8692-rbme-23-04-00317.pdf
http://hdl.handle.net/10818/33181
- Palabra clave:
- Body composition
Autonomic nervous system
Oxygen consumption
Linear models
- Rights
- License
- Attribution-NonCommercial-NoDerivatives 4.0 International
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Heart rate variability and body composition as vo2max determinants |
| dc.title.alternative.en.fl_str_mv |
Variabilidad de la frecuencia cardiaca y composición corporal como determinantes del vo2max VARIABILIDADE DA FREQUÊNCIA CARDÍACA E COMPOSIÇÃO CORPORAL COMO DETERMINANTES DO VO2MÁX |
| title |
Heart rate variability and body composition as vo2max determinants |
| spellingShingle |
Heart rate variability and body composition as vo2max determinants Body composition Autonomic nervous system Oxygen consumption Linear models |
| title_short |
Heart rate variability and body composition as vo2max determinants |
| title_full |
Heart rate variability and body composition as vo2max determinants |
| title_fullStr |
Heart rate variability and body composition as vo2max determinants |
| title_full_unstemmed |
Heart rate variability and body composition as vo2max determinants |
| title_sort |
Heart rate variability and body composition as vo2max determinants |
| dc.creator.fl_str_mv |
León Ariza, Henry Humberto Botero Rosas, Daniel Alfonso Zea Robles, Aura Catalina |
| dc.contributor.author.none.fl_str_mv |
León Ariza, Henry Humberto Botero Rosas, Daniel Alfonso Zea Robles, Aura Catalina |
| dc.subject.es_CO.fl_str_mv |
Body composition Autonomic nervous system Oxygen consumption Linear models |
| topic |
Body composition Autonomic nervous system Oxygen consumption Linear models |
| description |
5 páginas |
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2017 |
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2017 |
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2018-06-21T13:38:56Z |
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6/21/2018 8:38 |
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León Ariza, H., Botero Rosas, D., y Zea Robles. A. (2017) HEART RATE VARIABILITY AND BODY COMPOSITION AS VO2MAX DETERMINANTS. Revista Brasileira de Medicina do Esporte;23(4):317-321 |
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1517-8692 |
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http://www.scielo.br/scielo.php?pid=S1517-86922017000400317&script=sci_arttext http://www.scielo.br/pdf/rbme/v23n4/1517-8692-rbme-23-04-00317.pdf |
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http://hdl.handle.net/10818/33181 |
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10.1590/1517-869220172304152157 |
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León Ariza, H., Botero Rosas, D., y Zea Robles. A. (2017) HEART RATE VARIABILITY AND BODY COMPOSITION AS VO2MAX DETERMINANTS. Revista Brasileira de Medicina do Esporte;23(4):317-321 1517-8692 10.1590/1517-869220172304152157 |
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http://www.scielo.br/scielo.php?pid=S1517-86922017000400317&script=sci_arttext http://www.scielo.br/pdf/rbme/v23n4/1517-8692-rbme-23-04-00317.pdf http://hdl.handle.net/10818/33181 |
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eng |
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eng |
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Rev Bras Med Esporte vol.23 no.4 São Paulo July/Aug. 2017 |
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Attribution-NonCommercial-NoDerivatives 4.0 International |
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Revista Brasileira de Medicina do Esporte |
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Universidad de La Sabana Intellectum Repositorio Universidad de La Sabana |
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León Ariza, Henry HumbertoBotero Rosas, Daniel AlfonsoZea Robles, Aura Catalina6/21/2018 8:382018-06-21T13:38:56Z2017León Ariza, H., Botero Rosas, D., y Zea Robles. A. (2017) HEART RATE VARIABILITY AND BODY COMPOSITION AS VO2MAX DETERMINANTS. Revista Brasileira de Medicina do Esporte;23(4):317-3211517-8692http://www.scielo.br/scielo.php?pid=S1517-86922017000400317&script=sci_arttexthttp://www.scielo.br/pdf/rbme/v23n4/1517-8692-rbme-23-04-00317.pdfhttp://hdl.handle.net/10818/3318110.1590/1517-8692201723041521575 páginasIntroduction: The maximum oxygen consumption (VO2max) is the gold standard in the cardiorespiratory endurance assessment. Objective: This study aimed to develop a mathematical model that contains variables to determine the VO2max of sedentary people. Methods: Twenty participants (10 men and 10 women) with a mean age of 19.8±1.77 years were included. For each participant, body composition (percentage of fat and muscle), heart rate variability (HRV) at rest (supine and standing), and VO2max were evaluated through an indirect test on a cycloergometer. A multivariate linear regression model was developed from the data obtained, and the model assumptions were verified. Results: Using the data obtained, including percentage of fat (F), percentage of muscle (M), percentage of power at very low frequency (VLF), α-value of the detrended fluctuation analysis (DFAα1), heart rate (HR) in the resting standing position, and age of the participants, a model was established for men, which was expressed as VO2max = 4.216 + (Age*0.153) + (F*0.110) - (M*0.053) - (VLF*0.649) - (DFAα1*2.441) - (HR*0.014), with R2 = 0.965 and standard error = 0.146 L/min. For women, the model was expressed as VO2max = 1.947 - (Age*0.047) + (F*0.024) + (M*0.054) + (VLF*1.949) - (DFAα1*0.424) - (HR*0.019), with R2 = 0.987 and standard error = 0.077 L/min. Conclusion: The obtained model demonstrated the influence exerted by body composition, the autonomic nervous system, and age in the prediction of VO2max.Introducción: El consumo máximo de oxígeno (VO2max) es el patrón áureo en la evaluación de la resistencia cardiorrespiratoria. Objetivo: Este estudio tuvo como objetivo desarrollar un modelo matemático con las variables que participan en la determinación del VO2max en individuos sedentarios. Método: Veinte sujetos (10 hombres y 10 mujeres) con edad promedio de 19,8 ± 1,77 años se han incluido. Para cada participante, se evaluó la composición corporal (porcentaje de grasa y músculo), variabilidad de la frecuencia cardiaca (VFC) en reposo (decúbito supino y en pie) y VO2max mediante un test indirecto en cicloergómetro. A partir de los datos obtenidos se desarrolló un modelo de regresión lineal multivariado y se comprobaron los supuestos del modelo. Resultados: Usando los datos obtenidos, incluyendo porcentaje de grasa (G), porcentaje de músculos (M), porcentaje de energía en frecuencia muy baja (FMB), valor de α del análisis de fluctuación sin tendencias (DFAα1), frecuencia cardiaca (FC) en reposo en la posición en pie y la edad de los participantes, se estableció un modelo para hombres que se expresa como VO2max = 4,216 + (Edad*0,153) + (G*0,110) - (M*0,053) - (FMB*0,649) - (DFAα1*2,441) - (FC*0,014) con R2 = 0,965 y error típico = 0,146 L/min. Para las mujeres el modelo se expresó como VO2max = 1,947 - (Edad*0,047) + (G*0,024) + (M*0,054) + (FMB*1,949) - (DFAα1*0,424) - (FC*0,019) con R2 = 0,987 y error típico de 0,077 L/min. Conclusión: El modelo desarrollado demostró la influencia ejercida por la composición corporal, el sistema nervioso autónomo y la edad en la predicción del VO2max.application/pdfengRevista Brasileira de Medicina do EsporteRev Bras Med Esporte vol.23 no.4 São Paulo July/Aug. 2017Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/http://purl.org/coar/access_right/c_abf2Universidad de La SabanaIntellectum Repositorio Universidad de La SabanaBody compositionAutonomic nervous systemOxygen consumptionLinear modelsHeart rate variability and body composition as vo2max determinantsVariabilidad de la frecuencia cardiaca y composición corporal como determinantes del vo2maxVARIABILIDADE DA FREQUÊNCIA CARDÍACA E COMPOSIÇÃO CORPORAL COMO DETERMINANTES DO VO2MÁXarticlepublishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501LICENSElicense.txtlicense.txttext/plain; charset=utf-8498https://intellectum.unisabana.edu.co/bitstream/10818/33181/3/license.txtf52a2cfd4df262e08e9b300d62c85cabMD53CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-81223https://intellectum.unisabana.edu.co/bitstream/10818/33181/2/license_rdf7c9ab7f006165862d8ce9ac5eac01552MD5210818/33181oai:intellectum.unisabana.edu.co:10818/331812022-05-10 05:17:07.567Intellectum Universidad de la Sabanacontactointellectum@unisabana.edu.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 |