Un modelo para predecir el consumo de oxígeno según signos vitales y hábitos de vida en estudiantes universitarios

^a Background Maximal oxygen uptake (V̇O 2 max) is measured using maximal and submaximal exercise tests or can be predicted using demographic variables, body adiposity, vital signs and lifestyles. Aim To elaborate an equation to predict the V̇O 2 max in the absence of cardiopulmon...

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Autores principales:	VÁSQUEZ-GÓMEZ,JAIME, SOUZA DE CARVALHO,RICARDO, FAUNDEZ-CASANOVA,CESAR, CASTILLO- RETAMAL,MARCELO, CASTILLO-RETAMAL,FRANKLIN
Lenguaje:	Spanish / Castilian
Publicado:	Sociedad Médica de Santiago 2019
Materias:	Exercise Test Oxygen Consumption Students
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0034-98872019001101437
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spelling	oai:scielo:S0034-988720190011014372020-02-25Un modelo para predecir el consumo de oxígeno según signos vitales y hábitos de vida en estudiantes universitariosVÁSQUEZ-GÓMEZ,JAIMESOUZA DE CARVALHO,RICARDOFAUNDEZ-CASANOVA,CESARCASTILLO- RETAMAL,MARCELOCASTILLO-RETAMAL,FRANKLIN Exercise Test Oxygen Consumption Students ^a Background Maximal oxygen uptake (V̇O 2 max) is measured using maximal and submaximal exercise tests or can be predicted using demographic variables, body adiposity, vital signs and lifestyles. Aim To elaborate an equation to predict the V̇O 2 max in the absence of cardiopulmonary test in university students. Material and Methods V̇O 2 max was measured directly using a cardiopulmonary test on a treadmill in 121 students aged 22 ± 2 years (59 males). Data about drug and medication use, physical activity [PA], vital signs at rest, and basic anthropometry were collected. The independent variables were included in a multivariate equation and the validity of the model was checked through distribution assumptions and according to the concordance limits of the Bland-Altman diagram. Results The best predictive equation for V̇O 2 max incorporated sex, age, body mass index, blood pressure, heart rate, smoking habits and PA as independent variables. The distributional assumptions were fulfilled (p > 0.05), there were no differences between the equation and the measurement of V̇O 2 max (p = 0.854) with a bias of -0.08 ml·kg·min -1 (95% confidence intervals [-0.95; 0.78]). Conclusions The resulting equation predicts V̇O 2 max based on body adiposity, physiological parameters and life habits.info:eu-repo/semantics/openAccessSociedad Médica de SantiagoRevista médica de Chile v.147 n.11 20192019-11-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0034-98872019001101437es10.4067/S0034-98872019001101437
institution	Scielo Chile
collection	Scielo Chile
language	Spanish / Castilian
topic	Exercise Test Oxygen Consumption Students
spellingShingle	Exercise Test Oxygen Consumption Students VÁSQUEZ-GÓMEZ,JAIME SOUZA DE CARVALHO,RICARDO FAUNDEZ-CASANOVA,CESAR CASTILLO- RETAMAL,MARCELO CASTILLO-RETAMAL,FRANKLIN Un modelo para predecir el consumo de oxígeno según signos vitales y hábitos de vida en estudiantes universitarios
description	^a Background Maximal oxygen uptake (V̇O 2 max) is measured using maximal and submaximal exercise tests or can be predicted using demographic variables, body adiposity, vital signs and lifestyles. Aim To elaborate an equation to predict the V̇O 2 max in the absence of cardiopulmonary test in university students. Material and Methods V̇O 2 max was measured directly using a cardiopulmonary test on a treadmill in 121 students aged 22 ± 2 years (59 males). Data about drug and medication use, physical activity [PA], vital signs at rest, and basic anthropometry were collected. The independent variables were included in a multivariate equation and the validity of the model was checked through distribution assumptions and according to the concordance limits of the Bland-Altman diagram. Results The best predictive equation for V̇O 2 max incorporated sex, age, body mass index, blood pressure, heart rate, smoking habits and PA as independent variables. The distributional assumptions were fulfilled (p > 0.05), there were no differences between the equation and the measurement of V̇O 2 max (p = 0.854) with a bias of -0.08 ml·kg·min -1 (95% confidence intervals [-0.95; 0.78]). Conclusions The resulting equation predicts V̇O 2 max based on body adiposity, physiological parameters and life habits.
author	VÁSQUEZ-GÓMEZ,JAIME SOUZA DE CARVALHO,RICARDO FAUNDEZ-CASANOVA,CESAR CASTILLO- RETAMAL,MARCELO CASTILLO-RETAMAL,FRANKLIN
author_facet	VÁSQUEZ-GÓMEZ,JAIME SOUZA DE CARVALHO,RICARDO FAUNDEZ-CASANOVA,CESAR CASTILLO- RETAMAL,MARCELO CASTILLO-RETAMAL,FRANKLIN
author_sort	VÁSQUEZ-GÓMEZ,JAIME
title	Un modelo para predecir el consumo de oxígeno según signos vitales y hábitos de vida en estudiantes universitarios
title_short	Un modelo para predecir el consumo de oxígeno según signos vitales y hábitos de vida en estudiantes universitarios
title_full	Un modelo para predecir el consumo de oxígeno según signos vitales y hábitos de vida en estudiantes universitarios
title_fullStr	Un modelo para predecir el consumo de oxígeno según signos vitales y hábitos de vida en estudiantes universitarios
title_full_unstemmed	Un modelo para predecir el consumo de oxígeno según signos vitales y hábitos de vida en estudiantes universitarios
title_sort	un modelo para predecir el consumo de oxígeno según signos vitales y hábitos de vida en estudiantes universitarios
publisher	Sociedad Médica de Santiago
publishDate	2019
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0034-98872019001101437
work_keys_str_mv	AT vasquezgomezjaime unmodeloparapredecirelconsumodeoxigenosegunsignosvitalesyhabitosdevidaenestudiantesuniversitarios AT souzadecarvalhoricardo unmodeloparapredecirelconsumodeoxigenosegunsignosvitalesyhabitosdevidaenestudiantesuniversitarios AT faundezcasanovacesar unmodeloparapredecirelconsumodeoxigenosegunsignosvitalesyhabitosdevidaenestudiantesuniversitarios AT castilloretamalmarcelo unmodeloparapredecirelconsumodeoxigenosegunsignosvitalesyhabitosdevidaenestudiantesuniversitarios AT castilloretamalfranklin unmodeloparapredecirelconsumodeoxigenosegunsignosvitalesyhabitosdevidaenestudiantesuniversitarios
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Un modelo para predecir el consumo de oxígeno según signos vitales y hábitos de vida en estudiantes universitarios

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