Your browser doesn't support javascript.
loading
Un modelo para predecir el consumo de oxígeno según signos vitales y hábitos de vida en estudiantes universitarios / A model to predict maximal oxygen uptake using vital signs and lifestyles in university students
Vásquez-Gómez, Jaime A; Souza De Carvalho, Ricardo; Faúndez-Casanova, César; Castillo-Retamal, Marcelo; Castillo-Retamal, Franklin.
  • Vásquez-Gómez, Jaime A; Universidad Católica del Maule. Vicerrectoría de Investigación y Postgrado. Talca. CL
  • Souza De Carvalho, Ricardo; Universidad Católica del Maule. Departamento de Ciencias de la Actividad Física. Talca. CL
  • Faúndez-Casanova, César; Universidad Católica del Maule. Departamento de Ciencias de la Actividad Física. Talca. CL
  • Castillo-Retamal, Marcelo; Universidad Católica del Maule. Departamento de Ciencias de la Actividad Física. Talca. CL
  • Castillo-Retamal, Franklin; Universidad Católica del Maule. Departamento de Ciencias de la Actividad Física. Talca. CL
Rev. méd. Chile ; 147(11): 1437-1442, nov. 2019. tab, graf
Article in Spanish | LILACS | ID: biblio-1094173
ABSTRACT
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.
Subject(s)


Full text: Available Index: LILACS (Americas) Main subject: Oxygen Consumption / Life Style Type of study: Diagnostic study / Prognostic study / Risk factors Limits: Adult / Female / Humans / Male Language: Spanish Journal: Rev. méd. Chile Journal subject: Medicine Year: 2019 Type: Article Affiliation country: Chile Institution/Affiliation country: Universidad Católica del Maule/CL

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Index: LILACS (Americas) Main subject: Oxygen Consumption / Life Style Type of study: Diagnostic study / Prognostic study / Risk factors Limits: Adult / Female / Humans / Male Language: Spanish Journal: Rev. méd. Chile Journal subject: Medicine Year: 2019 Type: Article Affiliation country: Chile Institution/Affiliation country: Universidad Católica del Maule/CL