Análisis de las ecuaciones del vo2 máximo, a partir de la aplicación del test de cooper: Revision documental.
Fecha
2017-12-02Registro en:
Gutiérrez Ramírez, H.D.(2017).Análisis de las ecuaciones del vo2 máximo, a partir de la aplicación del test de cooper: Revision sistematica.Universidad Santo Tomás
reponame:Repositorio Institucional Universidad Santo Tomás
instname:Universidad Santo Tomás
Autor
Gutiérrez Ramírez, Harold David
Institución
Resumen
SUMMARY:
Objective: Based on a documentary review, determine how the maximum estimated Voice calculation was performed for the cooperation test in different populations.
Method: It is carried out under the descriptive schema of documentary review, applying the model PRISMA (2010), for the elaboration of Systematic Reviews. The review was conducted in 5 countries (Colombia, Argentina, Spain, Brazil and Uruguay), where search parameters were standardized in 3 high-impact databases in the field of health, these databases were selected (PUBMED, Scielo , Sciencedierct). The range of years in the search for the selected articles was from the year 2000 until the year 2017.
How MeSH is used: resistance and copper test, Cooper test and functional evaluation, Cooper test or physical test, validations of the Copper test, amazing Cooper test.
Keywords: Cooper test, Vo2 Maximum, Linear regression, functional evaluation, ECU Vo2 max.
Results: A documentary review was made on the different constants for the validation of the COOPER exam in different populations, taking into account that the test was intended to be applied in the athlete population. 1037 articles were consulted, of which 20 articles were considered; 19 met the search criteria and only obtained the exclusion criteria, but contributed to the research for the construction of the conceptual framework. The trends that were: Measurement of Vo2 max (8 Articles); Comparison of the cooper test and others (6 Articles); Application of the Cooper Test (3 Articles); Body composition and cooper test (2 articles).
Conclusions: It was established that the equations proposed in the linear regression models for the Cooper test, adjusted the constants in the distance variables and the intensity of the test, in order to be able to apply them in population groups, however took into account environmental factors such as height.