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: | , , , , |
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| Lenguaje: | Spanish / Castilian |
| Publicado: |
Sociedad Médica de Santiago
2019
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| Materias: | |
| Acceso en línea: | http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0034-98872019001101437 |
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| Sumario: | ^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. |
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