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

• JAIME VÁSQUEZ-GÓMEZ ^[1] ; RICARDO SOUZA DE CARVALHO ; CESAR FAUNDEZ-CASANOVA ; MARCELO CASTILLO- RETAMAL ; FRANKLIN CASTILLO-RETAMAL
  1. [1] Grupo de Estudios en Educación, Actividad Física y Salud
• Localización: Revista Médica de Chile, ISSN-e 0034-9887, Vol. 147, Nº. 11, 2019, págs. 1437-1442
• Idioma: español
• Títulos paralelos:
  • A model to predict maximal oxygen uptake using vital signs and lifestyles in university students
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• Resumen

  • 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.