|Support type:||Scholarships in Brazil - Scientific Initiation|
|Effective date (Start):||December 01, 2013|
|Effective date (End):||November 30, 2014|
|Field of knowledge:||Health Sciences - Physiotherapy and Occupational Therapy|
|Principal Investigator:||Ercy Mara Cipulo Ramos|
|Grantee:||Camila Aguiar Santiago|
|Home Institution:||Faculdade de Ciências e Tecnologia (FCT). Universidade Estadual Paulista (UNESP). Campus de Presidente Prudente. Presidente Prudente , SP, Brazil|
Introduction: It is known that current smokers exhibit reduced quality of life which may influence the physical effort. The smoker's post-physical activity tends to be slower compared to non smokers, however there are no studies which compares the recovery of the vital signs, and oxygen consumption after a maximal exercise. Aims: To evaluate and to compare the performance of vital signs and oxygen consumption immediately after physical exertion maximum of smokers and nonsmokers using kinetic values of excessive oxygen consumption (EPOC), heart rate (HR), blood pressure (BP) and values of oxygen saturation in arterial blood. Methods: Smokers and non-smokers aged between 30 and 50 years, with normal lung function attested by spirometry will be submitted to a treadmill progressive exhaustive test, and after exhaustion, oxygen consumption is measured for five minutes of the recovery period for determining variables corresponding to the EPOC. Additionally, the vital signs: blood pressure heart rate and oxygen saturation will be evaluated at 1, 3 and 5 minutes. Statistical analysis: Statistical analysis was performed with GraphPad Prism 3.0 (GraphPad Software, Inc., San Diego, USA). Normality of data distribution will be verified with the Shapiro-Wilk test and the results will be described as mean ± standard deviation, except for non-normal distribution variables, which will be described as median (interquartile range 25-75). For intergroup analysis (smokers and nonsmokers) will be used the unpaired t test or Mann-Whitney test depending on the data normality. Differences were considered significant at P < 0,05.