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dc.contributor.authorVásquez Gómez J.A.
dc.contributor.authorCastillo Retamal M.E.
dc.contributor.authorFaundez Casanova C.P.
dc.contributor.authorSouza De Carvalho R.
dc.contributor.authorValdes Badilla P.
dc.date.accessioned2020-09-02T22:30:29Z
dc.date.available2020-09-02T22:30:29Z
dc.date.issued2018
dc.identifier10.12873/383vasquez
dc.identifier.citation38, 3, 174-178
dc.identifier.issn02116057
dc.identifier.urihttps://hdl.handle.net/20.500.12728/6612
dc.descriptionIntroduction: To predict VO2 max it can be used simple means such as body characteristics and lifestyle. Aim: To elaborate an equation to estimate the VO2 max based on body weight, height, lifestyle and cardiovascular variables in college students. Methods: In a sample of 35 men and 35 women of 22.5±1.9 years body weight, height, consumption of alcohol, tobacco and medications, cardiorespiratory variables at rest and VO2 max in a cycle ergometer test until exhaustion were measured. A correlation between variables was determined, which were included in a multivariate equation and the agreement of the model with the Bland-Altman diagram was verified. A significance of p<0.05 was assigned with the SPSS v.20 program. Results: the prediction equation is VO2 max (ml.min-1) = -1268.945 + (1305.94 × Sex [Female = 2, Male = 1]) + (17.868 × Weight) + (1034.204 × Height) + (-97.223 × Medications [YES = 1, NO = 2]) + (3.867 × Systolic blood pressure) + (-5.574 × Resting heart rate [HRr]) (r = 0.892, r2 = 0.795, p<0.001). According to Bland-Altman there are no differences between the equation and the cycle ergometer test (p = 0.644) and no values of VO2 max were outside the limits of agreement. Discussions: the main finding is that weight and stature have the greatest predictive power, along with sex, and the other variables increase it, in addition, it is a pioneering study in Chile. Some research uses body characteristics and lifestyles to predict VO2 max, but only two include smoking, one HR and none blood pressure. Conclusions: Anthropometric, lifestyle and cardiovascular variables predict VO2 max. The predictive model can be used considering the differences between the characteristics of people and between countries. © 2018 Sociedad espanola de dietetica. All rights reserved.
dc.language.isoes
dc.publisherSociedad espanola de dietetica
dc.subjectBody height
dc.subjectBody weight
dc.subjectCardiovascular physiologic processes
dc.subjectLife style
dc.subjectOxygen consumption
dc.titleBody weight, height, lifestyle and cardiovascular variables predict the VO2 max in college student [El peso corporal, la estatura, variables del estilo de vida y cardiovasculares predicen el VO2 máx. En estudiantes universitarios]
dc.typeArticle


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