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Chaotic behavior on metabolic syndrome after resistance training

Grant number: 15/10229-0
Support Opportunities:Scholarships abroad - Research Internship - Master's degree
Effective date (Start): August 03, 2015
Effective date (End): January 16, 2016
Field of knowledge:Health Sciences - Physiotherapy and Occupational Therapy
Principal Investigator:Luiz Carlos Marques Vanderlei
Grantee:Natália Turri da Silva
Supervisor: Syed-Shakeeb Hassan Moosavi
Host Institution: Faculdade de Ciências e Tecnologia (FCT). Universidade Estadual Paulista (UNESP). Campus de Presidente Prudente. Presidente Prudente , SP, Brazil
Research place: Oxford Brookes University, England  
Associated to the scholarship:14/12722-3 - Effect of two programs periodized resistance training on autonomic modulation and body composition in adults with metabolic syndrome, BP.MS


The analysis of heart rate variability by nonlinear methods has increasing importance, because there are evidences that the mechanisms involved on cardiovascular regulation probably interact each other in a nonlinear way. Although it incipient, the nonlinear methods are helping understand the systems behavior, that linear models doesn´t explains. This one has enable to better acquaintance about complex dynamic systems nature that occurs in human body as health as illness. In this contest the present research aims evaluate two experimental conditions, before and after the different training interventions (conventional vs functional), assessed by "chaotic global techniques." These are wholly spectral techniques used to analyze cardiovascular modulation in chaos domain. There are three "chaotic global techniques" which are founded on the Multi-Taper Method (MTM) power spectrum. They are high spectral Entropy (hsEntropy), high spectral Detrended Fluctuation Analysis (hsDFA), and spectral MTM (sMTM). The three techniques can outline seven combinations, which we term the chaotic forward parameters (CFP 1 to 7). These will be calculated for the experimental groups and the controls group. The data is assessed for degrees of normalization (Anderson-Darling, Ryan-Joiner and Lilliefors tests) and then either the ANOVA1 or Kruskal-Wallis statistical tests of significance enforced. In addition to this, we then test the experimental grouped data by a Multivariate technique - Principal Component Analysis (PCA) that allows the seven groups to be assessed for their relative influences on the data. (AU)

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Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
N. TURRI-SILVA; D.M. GARNER; S.H. MOOSAVI; A.L. RICCI-VITOR; D.G.D. CHRISTOFARO; J. NETTO JUNIOR; L.M. VANZELLA; L.C.M. VANDERLEI. Effects of resistance training protocols on nonlinear analysis of heart rate variability in metabolic syndrome. Brazilian Journal of Medical and Biological Research, v. 51, n. 8, . (15/10229-0)

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