Made available in DSpace on 2014-12-17T14:13:19Z (GMT). No. of bitstreams: 1
FernandoPB.pdf: 4835339 bytes, checksum: 31251ef256da75068c94b80cfee05d1f (MD5)
Previous issue date: 2007-12-03 / The relation between metabolic demand and maximal oxygen consumption during exercise have been investigated in different areas of knowledge. In the health field, the determination of maximal oxygen consumption (VO2max) is considered a method to classify the level of physical fitness or the risk of cardiocirculatory diseases. The accuracy to obtain data provides a better evaluation of functional
responses and allows a reduction in the error margin at the moment of risk classification, as well as, at the moment of determination of aerobic exercise work load. In Brasil, the use of respirometry associated to ergometric test became an
opition in the cardiorespiratory evaluation. This equipment allows predictions concerning the oxyredutase process, making it possible to identify physiological responses to physical effort as the respiratory threshold. This thesis focused in the development of mathematical models developed by multiple regression validated by the stepwise method, aiming to predict the VO2max based on respiratory responses to physical effort. The sample was composed of a ramdom sample of 181 healthy individuals, men and women, that were randomized to two groups: regression group and cross validation group (GV). The voluntiars were submitted to a incremental treadmill test; objetiving to determinate of the second respiratory threshold (LVII) and the Peak VO2max. Using the m?todo forward addition method 11 models of VO2max prediction in trendmill were developded. No significative differences were found between the VO2max meansured and the predicted by models when they were
compared using ANOVA One-Way and the Post Hoc test of Turkey. We concluded that the developed mathematical models allow a prediction of the VO2max of healthy
young individuals based on the LVII / A rela??o entre a demanda metab?lica e o consumo de oxig?nio durante a pr?tica de exerc?cios f?sicos ? alvo de investiga??o em distintas ?reas do conhecimento. No campo da sa?de, a determina??o do consumo m?ximo de oxig?nio
(VO2m?x) ? considerada um m?todo para classificar o n?vel de aptid?o f?sica ou risco de doen?as cardiocirculat?rias. A obten??o de dados de forma acurada possibilita uma
melhor avalia??o das respostas funcionais, o que permite reduzir a margem de erros tanto no momento da classifica??o dos riscos, como tamb?m no momento da determina??o das cargas de treinamento aer?bico. No Brasil a utiliza??o da
ventilometria conjugado ao teste de ergom?trico passou a ser uma op??o na avalia??o cardiorrespirat?ria. O emprego deste equipamento possibilita inferir sobre o processo de oxidorredutase, permitindo identificar respostas fisiol?gicas ao esfor?o como o limiar ventilat?rio. A presente tese centrou-se no desenvolvimento de modelos matem?ticos desenvolvidos por meio de regress?o m?ltipla com valida??o pelo m?todo stepwise com o objetivo de predi??o do VO2m?x tomando como base, as respostas ventilat?rias ao esfor?o. Para tanto, o estudo contou com uma amostra aleat?ria de 181 indiv?duos
saud?veis, de ambos os sexos, que foram randomizados em dois grupos: grupo de regress?o e o grupo de valida??o cruzada (GV). Os volunt?rios foram submetidos a
teste cardiopulmonar em esteira rolante em protocolo incremental; onde se visou a determina??o do limiar ventilat?rio II (LVII) e o VO2m?x de pico. Atrav?s da aplica??o do m?todo adi??o forward foram desenvolvidos 11 modelos de predi??o do VO2m?x em esteira rolante. N?o foram encontradas diferen?as significativa entre o VO2m?x
mensurado com os preditos pelos modelos quando comparados pelo teste t pareado. Os resultados possibilitam-nos concluir que os modelos matem?ticos desenvolvidos permitem estimar o VO2m?x de indiv?duos jovens e h?gidos, tendo como ponto de
refer?ncia o LVII
| Identifer | oai:union.ndltd.org:IBICT/oai:repositorio.ufrn.br:123456789/13107 |
| Date | 03 December 2007 |
| Creators | Barbosa, Fernando Policarpo |
| Contributors | CPF:23334118053, http://lattes.cnpq.br/8414353396087915, Dantas, Paulo Moreira Silva, CPF:88516857700, http://lattes.cnpq.br/0392766010188739, Accioly J?nior, Hor?cio, CPF:27040550768, http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4762977A3, Sousa, Jacira Maria Andrade de, CPF:42950457487, http://lattes.cnpq.br/7638624358027104, Miranda, H?nio Ferreira de, CPF:09740589472, http://lattes.cnpq.br/5697923336690125, Knackfuss, Maria Irany |
| Publisher | Universidade Federal do Rio Grande do Norte, Programa de P?s-Gradua??o em Ci?ncias da Sa?de, UFRN, BR, Ci?ncias da Sa?de |
| Source Sets | IBICT Brazilian ETDs |
| Language | Portuguese |
| Detected Language | English |
| Type | info:eu-repo/semantics/publishedVersion, info:eu-repo/semantics/doctoralThesis |
| Format | application/pdf |
| Source | reponame:Repositório Institucional da UFRN, instname:Universidade Federal do Rio Grande do Norte, instacron:UFRN |
| Rights | info:eu-repo/semantics/openAccess |
Page generated in 0.0019 seconds